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Journal articles on the topic 'Lecturer selection'
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1
Mulyani, Neni, Zulfi Azhar, Jeperson Hutahaean, Fitri Hadanyani, and Indah Kurnia. "Penerapan Metode Preference Selection Index (PSI) Dalam Menilai Kinerja Dosen Saat Pembelajaran Daring Dimasa New Normal." JURNAL MEDIA INFORMATIKA BUDIDARMA 7, no. 3 (2023): 928. http://dx.doi.org/10.30865/mib.v7i3.6100.
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The performance of lecture during brave learning has drastically decreased due to the lack of communivation between lectures and students. As a result of bold learning. Lecturers often do not do learning using zoom meetings but only provide material without explaining it. Then the risk that will arise for lecturers who do not provide student learning reports will result in students not being enthusiastic in lectures, so that they can be reviewed in an assessment of lecturer performance. Therefore a decision support system is made to facilitate the calculation process of all criteria for assessing lecturer performance. The purpose of this decision support system is to determine the criteria for a problem using the Preference Selection Index (PSI) method.
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Ningsih, Fitri, and Trisnawati Trisnawati. "SITEM PENDUKUNG KEPUTUSAN PEMILIHAN DOSEN TERBAIK DI STMIK PRINGSEWU DENGAN MENGGUNAKAN METODE VIKOR." JECE (Journal of Ethics and Character Education) 1, no. 1 (2023): 33–42. https://doi.org/10.56327/jece.v1i1.21.
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The role of lecturers in learning at a university is a very important part and effects the quality of students that will be produced. The task of a lecturer is to plan, implement the learning process, as well asassess and evaluate learning out comes. The selection of the best lecturers will make it easier for us to know the performance. of allecturer inccollege. Decision support system is one of the alternatives used in selecting the best lecturers. This study uses the Visekriterijumsko Kompromisno Rangiranje (VIKOR) method using seven criteria, including length of service, achievements, research, journals, academic positions, community service, and student assessments. And has four alternatives, namely Lecturer 1, Lecturer 2, Lecturer 3, and Lecturer 4. The final result of the research shows that the selection of the best lecturer at STMIK Pringsewu with the highest-ranking result is alternative 4 or A4 with the largest result, namely 0,75
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Asmaa Mahfoud Al-Hakimi. "Intelligent Automated Exam System with Adaptive Question Bank and multi-Bloom Taxonomy Assessment." Journal of Information Systems Engineering and Management 10, no. 29s (2025): 310–22. https://doi.org/10.52783/jisem.v10i29s.4482.
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Most universities use manual examination systems, whereby the lecturer spends many hours to write exam sets for number of subjects, depends on how many subjects the lecturer has, beside preparing exam questions, the lecture must prepare answer scheme for each exam paper, this process is time consuming. After that, the lecturer must verify with a verifier which makes the process longer and still has no guarantee to minimize errors. Lecturers spend long hours marking these answer scripts. This process compromises the quality and talents of lecturers which could be used for better purposes such as research and modules improvements. The development of the proposed system utilizes a cumulative question bank that aggregates questions from question bank associated to it and updates continuously. The multi bloom level selection feature enables the system to categorize questions based on bloom’s taxonomy and allow proper evaluation of student’s cognitive skills. This system aims to improve effectiveness, efficiency and fairness of the examination process. The methodology applied for this research was survey and experiment methods. The survey consisted of two phases. The first phase was to get feedback of lectures of using the current examination system, the second phase was after implementing the system to get feedback of lectures after applying the new system to get the successful rate of the proposed system.
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Herman, Herman, Lukman Syafie, Irawati Irawati, Lilis Nur Hayati, and Harlinda Harlinda. "SCHEDULING USING GENETIC ALGORITHM AND ROULETTE WHEEL SELECTION METHOD CONSIDERING LECTURER TIME." Journal of Information Technology and Its Utilization 2, no. 1 (2019): 24. http://dx.doi.org/10.30818/jitu.2.1.2243.
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Scheduling lectures is not something easy, considering many factors that must be considered. The factors that must be considered are the courses that will be held, the space available, the lecturers, the suitability of the credits with the duration of courses, the availability of lecturers' time, and so on. One algorithm in the field of computer science that can be used in lecture scheduling automation is Genetic Algorithms. Genetic Algorithms can provide the best solution from several solutions in handling scheduling problems and the selksi method used is roulette wheel. This study produces a scheduling system that can work automatically or independently which can produce optimal lecture schedules by applying Genetic Algorithms. Based on the results of testing, the resulting system can schedule lectures correctly and consider the time of lecturers. In this study, the roulette wheel selection method was more effective in producing the best individuals than the rank selection method.
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Yayang Eluis Bali Mawartika and Arie Yandi Saputra. "Implementasi Metode TOPSIS Untuk Menentukan Dosen Terbaik (Studi Kasus : STMIK Bina Nusantara Jaya Lubuklinggau)." Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Lubuklinggau 6, no. 1 (2024): 17–23. http://dx.doi.org/10.52303/jb.v6i1.138.
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STMIK Bina Nusantara Jaya Lubuklinggau is one of the universities in Lubuklinggau which was founded in 2007. Currently there are 20 permanent lecturers. At the higher education level, lecturers are professional staff who are appointed through statutory regulations. As teaching staff, lecturers have an obligation to provide knowledge to students in higher education. As an effort to support the teaching and learning process on campus, selection of the best lecturers is often held directly by students. However, the process of selecting the best lecturer still has shortcomings, namely that students only choose their favorite lecturer without looking at the teaching and learning process provided by the lecturer. Therefore, this research will implement decision support methods to help make more accurate decisions in determining the best lecturer. The method implemented in the decision support system for determining the best lecturers is the TOPSIS method. There are 6 criteria used to determine the best lecturers, namely length of service, achievements, semester learning plans, teaching materials, learning media, and lecturer presence. Based on the calculation results of the implementation of the TOPSIS method on 5 lecturers who have been certified, Robi Yanto is the best lecturer with the highest score, namely 0,86.
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Syafitry Sitorus, Debby, Anisa Amelia Putri, Panca Rahmat Hidayat, and Cut Fitri Rostina. "The influence of Selection, Motivation and Utilization of Information System Academic for Lecturer (SIAD) on the Lecturer Performance." Golden Ratio of Human Resource Management 1, no. 2 (2021): 61–71. http://dx.doi.org/10.52970/grhrm.v1i2.78.
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Lecturer Academic Information System (SIAD) is an academic service facility that lecturers can use to accommodate and manage teachers' activities, including lectures, assignments, communication, and discussions with students. However, lecturers' obstacles in supporting educational processes include the obstacles of leak of features and items/ service forums in the academic portal /SIAD online. This research aims to find the influence of selecting the system, motivation, and utilization of academic information system lecturers (SIAD) on the performance of lecturers at the Faculty of Economics, University of Prima Indonesia. The study will test the variables both partially and simultaneously. Samples were taken from lecturers recorded in the management study program of 60 people. The test result obtained a calculated value of F (17,866) > F table (2.76) and a probability of significance of 0.000 < 0.05, it was concluded that simultaneously H0 was rejected, which means the selection, motivation, and utilization of SIAD had a positive and significant effect on the performance of lecturers at the Faculty of Economics, Universitas Prima Indonesia Medan. The result of the calculation of the coefficient of determination obtained an adjusted R Square value of 0.462.
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Wati, Embun Fajar, Istikharoh Istikharoh, and Tuslaela Tuslaela. "Selection of Outstanding Lecturers with Simple Additive Weighting Method." SinkrOn 4, no. 2 (2020): 62. http://dx.doi.org/10.33395/sinkron.v4i2.10513.
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One of the elements in the implementation of Higher Education is a lecturer. Lecturers are academic staff who are tasked with carrying out the Tri Dharma of Higher Education which includes education, research, community service. Lecturers who excel are entitled to be selected and get promotions and awards according to their academic performance. Therefore, we need a calculation method that can be used as a media for performance appraisal of outstanding lecturers who can facilitate assessment. This assessment includes performance appraisal which includes commitment, integrity, service orientation, discipline, cooperation, and leadership. In addition to the criteria, the assessment also includes the Employee Performance Target (SKP) assessment. This Employee Performance Target is in the form of a total assessment of lecturer performance. Two criteria, namely performance and SKP will be used as guidelines in the calculation of the selection of outstanding lecturers. Samples were taken as many as 20 lecturers at the Sriwijaya State Buddhist College in Tangerang. The simple additive weighting method is effectively used in the selection of outstanding lecturers with an assessment limit of more than 0.88. Of the many candidates, there were three lecturers with sufficient performance and SKP, with grades 0.922, 0.88, 0.94. So that the highest achieving lecturer with the highest value is 0.94.
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Nurninawati, Euis, Henderi Henderi, and Sudaryono Sudaryono. "Decision Support System for Assessment of Learning Process Using Simple Additive Weighting." CCIT Journal 14, no. 2 (2021): 141–49. http://dx.doi.org/10.33050/ccit.v14i2.1264.
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Lecturers are entitled to get promotions and awards in accordance with their academic performance. Service of teaching and learning process of quality and professional will affect hope and feeling of satisfaction for student to spirit in follow lecture. Performance appraisal according to the favorite lecturer selection guidelines are (a) giving the syllabus at the beginning of the semester, (b) teaching on time, (c) mastering the taught material, (d) correcting assignments and timely grades and (e) serving academic guidance students well. Lecturers who can be elected are a lecturer who have given lectures on all courses in the department at least two semesters and are not currently following the learning task and has provided academic guidance services at least two semesters. Because there is no objective method to decide better and faster, based on existing data. Making the information system that can provide recommendations needed a proper method of decision making. Simple Additive Weighting (SAW) method is appropriate for the decision-making process because it can determine the weight value for each attribute, then proceed to the ranking process that will select the best alternative from some of the best alternatives.
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Setiawan, Herri, Husnawati Husnawati, and Tasmi Tasmi. "Sistem Pendukung Keputusan Pemilihan Dosen Terbaik Dengan Metode Simple Additive Weighting (SAW) Berbasis Web." Journal of Information Systems and Informatics 3, no. 4 (2021): 596–614. http://dx.doi.org/10.51519/journalisi.v3i4.215.
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Lecturers are academic staff in charge of planning and implementing the learning process, assessing learning outcomes, conducting guidance and training, as well as conducting research and community service. Lecturers are entitled to promotions and awards according to their academic performance. The selection of the best lecturers at STIKES Al Su'Aibah Palembang was carried out using several factors. The assessment is based on the performance assessment of each lecturer, namely knowledge of work, creativity, planning, quality of work, cooperation, attendance and attitudes towards other lecturers/employees. This study aims to build a decision support system that has the ability to analyze the selection of the best lecturers using the Simple Additive Weighting (SAW) method, where each criterion in this case the assessment factors and alternatives in this case the lecturers are compared with one another. so as to provide output values that produce a system that provides an assessment of each lecturer. This decision support system helps evaluate each lecturer, changes the criteria, and changes the weight value. This is useful to facilitate decision makers related to the problem of selecting the best lecturers, so that the lecturers who are most worthy of being given rewards or awards will be obtained.
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Sinaga, Junita Cahyati, and Alyauma Hajjah. "Decision Support System for Best Lecturer Selection using Analytical Network Process (ANP) and TOPSIS Method." Journal of Applied Business and Technology 1, no. 2 (2020): 93–100. http://dx.doi.org/10.35145/jabt.v1i2.34.
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Lecturer performance is influential in increasing student learning motivation. Each lecturer has a different character, nature and way of teaching. This causes students to choose and determine the best lecturer according to the students themselves. One of the Decision Support Systems (DSS) in assessing the best lecturers is using the ANP and TOPSIS methods. The Analytic Network Process (ANP) method is used to determine the weight of the criteria according to decision making, then the TOPSIS method is used to determine the rank / achievement of lecturers. This decision support system is expected to help and provide an alternative in assessing lecturer achievement. The results of this study will be in the form of an information system which is expected to assist in processing data by designing the best lecturer assessment information system using the ANP and TOPSIS methods.
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Dawami, Moh Fatkur, M. Ivan Ariful Fathoni, and Festian Cindarbumi. "APPLICATION OF ANALYTICAL HIERARCHY PROCESS METHOD AS A DECISION SUPPORT SYSTEM IN THE RECRUITMENT OF LECTURERS AT UNIVERSITAS NAHDLATUL ULAMA SUNAN GIRI." BAREKENG: Jurnal Ilmu Matematika dan Terapan 16, no. 4 (2022): 1477–86. http://dx.doi.org/10.30598/barekengvol16iss4pp1477-1486.
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Each college is obliged to create an ideal ratio of lecturers and students. To improve internal quality or quality on an ongoing basis to meet the ideal ratio of lecturers and students, Universitas Nahdlatul Ulama Sunan Giri always recruits lecturers every year. The file selection flow at the administrative selection stage of lecturer recruitment at Universitas Nahdlatul Ulama Sunan Giri is still carried out conventionally to ensure prospective lecturers are selected to pass to the next stage. The assessment process is subjective, and this can cause inconsistency in the provision of grades in each prospective alternative lecturer. This study aims to design and apply the Analytical Hierarchy Process method to support decisions in the recruitment of lecturers at Universitas Nahdlatul Ulama Sunan Giri. So that in this calculation, the priority of Recruitment of Lecturers at Universitas Nahdlatul Ulama Sunan Giri is obtained as follows; Recent Education 41.22%, GPA 20.61%, Achievement 13.74%, Accreditation 10.3%, Experience 8.24%, and Test 5.89%. Based on the research conducted, the same results were obtained with data in the field that those selected to become lecturers in the mathematics education study program were prospective lecturers with the initials FN, with a total score of 0.1168. The results of applying the Analytical Hierarchy Process method can provide recommendations for selecting alternative lecturer candidates for Universitas Nahdlatul Ulama Sunan Giri who are more objective.
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Monicha, Ririn Eka, Sutarto Sutarto, and Deri Wanto. "STRATEGI PEMBELAJARAN DOSEN DALAM MENGEMBANGKAN KEMAMPUAN CRITICAL THINKING MAHASISWA PASCASARJANA PRODI PAI IAIN CURUP." JURNAL PENDIDIKAN ISLAM AL-ILMI 5, no. 1 (2022): 41. http://dx.doi.org/10.32529/al-ilmi.v5i1.1661.
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Developing students' critical thinking is very important for every lecturer, especially in postgraduates. Each lecturer has a different strategy in building critical thinking for students in the PAI IAIN Curup postgraduate study program. This study aims to reveal in depth the learning strategies of lecturers in developing critical thinking skills of postgraduate students of PAI IAIN Curup study programs in identifying, analyzing, and evaluating problems in the learning process. This study uses a qualitative research approach. The informants of this research were lecturers who taught at the PAI Postgraduate Study Program of IAIN Curup which consisted of 12 lecturers. The data collection techniques used observation, interviews and documentation techniques. The results showed that in general the lecturer's learning strategies in developing students' critical thinking skills in the aspects of identifying, analyzing, and evaluating problems had the same methods, models and approaches, namely using lecture methods, question and answer, discussions, group assignments, collaborative projects, and inquiries. While the models used are cooperative learning, project based learning, problem based learning, accelerated learning, quantum learning, research-based learning and using an andragogic and student center approach. However, it was also found that the application of the three methods, models, and approaches had different emphases on the aspects of identifying, analyzing, and evaluating problems. So that the selection or application is carried out in the learning process by using methods, approaches, and models that are in accordance with the material or discussion discussed in the lecture process.
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Kahar, Novhirtamely, Lucy Simorangkir, and Ayu Nirmala Sari. "PENERAPAN METODE WEIGHT PRODUCT (WP) PADA SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA TRIDARMA PERGURUAN TINGGI DOSEN PRODI TEKNIK INFORMATIKA STMIK NURDIN HAMZAH JAMBI." JURNAL AKADEMIKA 12, no. 2 (2020): 65–71. https://doi.org/10.53564/akademika.v12i2.384.
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STMIK Nurdin Hamzah Jambi routinely rewards lecturers with the best tridarma performance of tertiary institutions every year. Through this award every lecturer is expected to be motivated to become better and always improve the quality of performance. In carrying out this assessment, STMIK Nurdin Hamzah Jambi formed a special team. The problem faced by this team is the difficulty in determining the decision of lecturers who are chosen to be lecturers with the best tridarma performance with criteria that have subjective or uncertain nature quickly. To overcome these problems, a decision support system was designed for the assessment of lecturers with the best tridarma performance of tertiary institutions using the Weight Product Method (WP). This study aims to build a software application that can help give consideration to decision makers in the selection of lecturers with the best tridarma performance of tertiary institutions at STMIK Nurdin Hamzah Jambi using the Weight Product (WP) method. The input needs are in the form of lecturer data, assessment criteria data, sub criteria, tridarma lecturer performance data of lecturers, and criteria weight data. The criteria used cover 3 fields, namely: Education and Teaching, Research, and Community Service, which consists of Student Assessment, Peer Lecturer Assessment, Leadership/Management Assessment, Academic Qualification, Research, Journal, Training, Seminar, Community Service Society, and Academic Position. The output produced in the form of a report on the results of the selection assessment, reports in the form of graphics, and reports on the results of the performance evaluation of the three-tier lecturers of tertiary institutions. From the results of the evaluation evaluation of the performance of the tridarma of the lecturer of the Informatics Engineering Study Program in the even semester of the Academic Year 2018/2019, the highest score was obtained on behalf of Lucy Simorangkir, S.Kom, M.Kom. as a lecturer with the best Tridarma tertiary performance.
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Saleh, Muhammad, Irawanto Irawanto, and Singgih Priono. "PERENCANAAN SUMBER DAYA DOSEN TETAP BUKAN PNS PADA UNIVERSITAS ISLAM NEGERI ANTASARI BANJARMASIN." Al Iidara Balad 1, no. 2 (2019): 60–75. http://dx.doi.org/10.36658/aliidarabalad.1.2.17.
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This study presents the planning of permanent non-civil servant lecturer resources at the Antasari Banjarmasin State Islamic University in connection with the transformation of status changes from IAIN to UIN. The purpose of this study is to find out how the planning of permanent lecturer resources is not a civil servant at Antasari Banjarmasin State Islamic University, and to find out what are the obstacles faced in the planning of non-PNS permanent lecturer resources at the Antasari State Islamic University Banjarmasin. This type of research is field research with a qualitative research approach (qualitaitive research). The results showed that the planning of permanent lecturer resources not civil servants at Antasari Banjarmasin State Islamic University has been implemented well in this case there was a significant increase in permanent lecturers and carried out in accordance with statutory regulations as regulated in Minister of Religion Regulation Number 3 of 2016 and Decree Director General of Islamic Education Number 844 of 2016 concerning Guidelines for the Appointment of Non-PNS Lecturers at State Islamic Religious Colleges (PTKIN). The non-PNS lecturer resource planning activities were carried out systematically in the form of job analysis, recruitment, selection, placement and development, the constraints faced in the planning of permanent non-PNS lecturer resources. and selection of non-PNS permanent lecturers is carried out in stages by adjusting the available budget, linearity and the ratio of lecturers to students who are not in accordance with the study program and weak management of development.
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Pongtambing, Yulita Sirinti, Harsi Admawati, Asterina Anggraini, et al. "Kelas Motivasi untuk Menghadapi Seleksi Calon Aparatur Sipil Negara Formasi Dosen Tahun 2023." Jurnal Informasi Pengabdian Masyarakat 1, no. 4 (2023): 271–80. http://dx.doi.org/10.47861/jipm-nalanda.v1i4.515.
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In 2023, the selection of Civil Servant Candidates for lecturer formation was opened by the Indonesian government. Thorough preparation for applicants is needed. One of the necessary preparations is mental preparation. Based on the candidates’ mental preparation, this community service aimed to increase their motivation. Furthermore, the activity was conducted through the Focus Group Discussion (FGD) method via Zoom meeting. The motivation material was delivered by four experienced civil servant lecturers participating in the selection in 2021, and it was guided by another lecturer as the moderator. Moreover, there were 88 attending participants with an average of 75 participants. The participants were involved in interactive discussions after the material presentation session. Based on the presentation and discussion, communicating with immediate family, focusing on completing documents for administrative selection, following related information and regulations actively, and preparing mentally are essential things to face in the selection of Civil Servant Candidates for lecturer formation.
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Afriliansyah, Teuku. "Optimasi Beban Mengajar Dosen Pendidikan Informatika di STKIP Bumi Persada Menggunakan Algoritme Genetika." Prosiding Seminar Nasional Riset Information Science (SENARIS) 1 (September 30, 2019): 972. http://dx.doi.org/10.30645/senaris.v1i0.106.
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The cost of teaching lecturers is a routine activity conducted by all universities, especially the maintainers of departments in each faculty. This is done because the number of courses planned students are in every semester is always different and faced with a relatively fixed number of lecturers. Determining the teaching burden of lecturers must be done so that the teaching burden of lecturers does not exceed the maximum possible limit and the teaching process is done in accordance with the interest of lecturer study. Study Program of informatics Education High School and Educational Sciences Earth Persada Lhokseumawe still do the process of determining the teaching burden of the lecturer with the manual so that it takes a little time because it must adjust the infirmity Courses with a lecturer study interest. One of the methods of optimization that is able to solve the problem is genetic algorithm. The genetic algorithm process in this research includes representation with integer numbers, crossover methods with one cut point crossover, mutation methods with Reciprocalexchange mutation and random mutation, as well as selection methods with elitism Selection. Test results that have been tested show optimal parameters i.e. population size 60, combination of CR and Mr Value respectively 0.4, Sertta generation of 3576 with the largest fitness value produced is 0.082846.
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Syarief, Faroman, Rustam Effendi, Amrillah Azrin, Imam Suroso, and Dhian Tyas Untari. "Selection of the Best Lecturer in Management Forum Indonesia Chapter DKI Jakarta with Analytical Hierarchy Process (AHP) Method." Webology 18, Special Issue 04 (2021): 619–25. http://dx.doi.org/10.14704/web/v18si04/web18153.
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This study aims to be able to provide recommendations in the decision-making system related to the best lecturers at the Jakarta Chapter of the Indonesian Management Lecturer Forum. It is hoped that the research results can be used as input in the Best Lecturer decision making system with a more systematic system. This research was conducted through interviews, questionnaires and literature study related to the Lecturer profession. In the field, the assessment criteria are still rough, therefore this study must include all the criteria into the mechanism, rules, and codes. Analysis, each criterion is analyzed using the AHP (Analytical Hierarchy Process) method in weighting. The cumulative results of the recapitulation of scores show that teaching is still a top priority in the implementation of the Tridaharma of Lecturers, after that the second priority is research, then community service and finally support in the form of participation in supporting activities and scientific development.
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Husnah, Husnah, and Maizi Latifa. "Evaluasi kegiatan seleksi koleksi perpustakaan sebagai pemenuhan kebutuhan informasi dosen di lingkungan UIN Imam Bonjol Padang." Al-Kuttab : Jurnal Kajian Perpustakaan, Informasi dan Kearsipan 5, no. 2 (2023): 57–68. http://dx.doi.org/10.24952/ktb.v5i2.9305.
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Lecturers are involved in the collection selection process prior to procurement. There are various ways of selecting collections such as using publisher catalogs, publisher websites, user suggestions, google forms, syllabus. The purpose of this study was to find out the collection selection process carried out by the Library UPT UIN Imam Bonjol Padang, the response of lecturers in the selection process, and the fulfillment of lecturers' information needs regarding the selection results. This research is descriptive quantitative in nature. The author will describe the collection selection process along with lecturer responses and to fulfill information needs. Then the number of fulfillment of lecturers' information needs on collection proposals is described in percentage form. The results showed that only a small proportion of lecturers (12.2%) of the participating lecturers responded to the collection proposals by filling out the Google form, Google Doc, document files, syllabus delivery and course distribution. UPT Library UIN Imam Bonjol Padang can fulfill most (73.5%) of the proposed collection. Libraries need to increase promotion related to proposing collections to lecturers. Collaboration with the academic and student affairs divisions as well as TIPD needs to be improved to obtain syllabus data and distribution of courses for collection selection
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Sukartini, Firman Surya, Welsi Haslina, Yusnani, and Ulfi Maryati. "Aplikasi Pelaporan Kelebihan Jam Mengajar Jurusan Akuntansi PNP." Akuntansi dan Manajemen 15, no. 2 (2020): 43–49. http://dx.doi.org/10.30630/jam.v15i2.18.
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This study aims to create a database application program that is able to process data on lecturer course activities and generate reports on the calculation of teaching fees periodically during the pandemic which requires lecturers to report lecture activities online. The system design method approach used is prototyping, namely by creating a program that most closely resembles user needs in a relatively short time. The prototype was generated using the Microsoft Access 2010 database application. The selection of microsoft access to create a prototype was based on the availability of complete facilities in Microsoft Access to design table relations, input forms, query processing, reports and the visual basic programming language for applications. Google Forms used to receive lecture data input online. The application development stages consist of design, testing and implementation stages. This application has succeeded in providing the right solution for the Padang State Polytechnic Accounting Department during the pandemic in calculating and reporting lecture activities and lecturers teaching fees.
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Setiawan, Debi. "Analisa Estimasi Penyeleksian Dosen Menggunakan Metode Backpropagation (Studi Kasus STMIK Amik Riau)." Jurnal Nasional Teknologi dan Sistem Informasi 2, no. 3 (2016): 129–48. http://dx.doi.org/10.25077/teknosi.v2i3.2016.129-148.
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Abstract- The purpose of this study was to estimate the number of lecturers who will be selected at the end of the year. Selection of lecturers is a way to determine the productivity of lecturers. In Act No. 14 of 2005, article 67, explained that an institution can undertake unilateral termination respectfully, when it ended joint working relationship between lecturers and education providers. At private colleges, the trigger of the selection of lecturers due to the productivity and the number of students. If the number of students is insufficient faculty ratio, while increasing productivity and excellent faculty, it still will do the selection of lecturers. The problem that arises is the imbalance for lecturers who have improved performance. It is necessary for analysis of estimates in the process of selecting lecturers, lecturers and institutions in order to be able to take a stand to solve this problem. Estimation using the design pattern of artificial neural networks (ANN) and methods of propagation, with an error rate of 0.5%. Variables that will be used is the amount of students majoring in IT (Computer Science), MI (Management Information) on campus STMIK Amik Riau, the number of Lecturer (MI and TI), and the final value of faculty productivity. These five variables will be processed on the system of selecting lecturers analysis using backpropagation method, so that the results to be obtained is the number of lecturers who will be affected by the selection of lecturers on campus STMIK Amik Riau.
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Supriatin, Supriatin, Alex Rizky Saputra, and Budy Satria. "IMPLEMENTATION OF ARAS ALGORITHM ON DECISION SUPPORT SYSTEM TO DETERMINE THE BEST LECTURER." JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) 8, no. 1 (2022): 25–32. http://dx.doi.org/10.33480/jitk.v8i1.3152.
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In the world of higher education, lecturers are one of the main components in building quality and quantity. Good quality will give good results as well, to improve the quality of each lecturer, it is necessary to have an award given to lecturers from the campus so that it becomes a motivation for lecturers to improve the quality given to students and the community. Amik Mitra Gama is a private campus located in the Duri Riau area, in this case to improve the quality of education one of the steps taken is to give awards and appreciation to the best lecturers who will be selected every year. To realize this, we need an easy calculation system that is carried out in the form of ranking according to the final value, therefore a decision support system using the ARAS method is chosen because it is very appropriate for the selection process and provides convenience in the calculations which are determined based on ranking. The decision support system using the ARAS method uses 8 criteria that are set as a reference in determining the best lecturers, namely Recent Education, Lecturer Functional Position, Lecturer Certification, Number of Journal Publications, Roles in Research, Journal Publication History, Research Grants, and Community Service. There are 10 lecturers in the field of computers who will be used as alternative data with lecturer codes D01, D02, D03, D04, D05, D06, D07, D08, D09, D10. The results obtained from this study are the lecturer code D04 = 0.0974, D06 = 0.0965, D09 = 0.0932, D07 = 0.0903, D03 = 0.0901 was selected as the best lecturer in 2021/2022. So that the results of this study can help the campus to determine the best lecturers every year fairly and be selected based on rankings.
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Rusilowati, Umi, Denok Sunarsi, and Azhar Affandi. "The effect of knowledge management on the performance of lecturers and performance of private universities." Jurnal Konseling dan Pendidikan 9, no. 3 (2021): 260. http://dx.doi.org/10.29210/164000.
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The purpose of this study is to analyze the relationship between knowledge management on lecturer performance, knowledge management on private university performance, and lecturer performance on private university performance. This research is an explanatory research with a quantitative approach. The research was conducted at a private university in Tangerang City. A sample of 120 respondents with data collection using an online questionnaire which was analyzed using Structural Equation Modeling using the Smart PLS 3.0 data processing tool. The selection of the sample of respondents used simple random sampling. Based on the results of data processing, it is concluded that there is a significant influence of managerial knowledge on the performance of lecturers, a significant influence of managerial knowledge on lecturers' performance. The performance of private universities, there is a significant influence of lecturer performance on the performance of private universities.
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Purbaratri, Winny, Moedjiono Moedjiono, and Moch Fajar Purnomo Alam. "Selection of the Best Lecturers using the AHP (Analytical Hierarchy Process) and TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution): Case Study of STMIK Insan Pembangunan." bit-Tech 1, no. 2 (2018): 1–10. http://dx.doi.org/10.32877/bt.v1i2.38.
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STMIK Insan Pembangunan is a College that was established in 1990, located in Tangerang Regency. Supported by 41 Lecturer staff. Lecturers have the position as professional staff at the higher education level who are appointed in accordance with the laws and regulations. Lecturers are educators who provide a number of knowledge to students in universities or universities. The best lecturer selection system is used to support learning and teaching activities in the campus so that students are competent in the field of concentration taken. So it is needed teaching staff or lecturers who are competent in their fields, in this case to meet the criteria of the competent lecturer is needed a system that supports in this case deciding which lecturers are considered the best. The process of selecting the Best Lecturers in the current system is that there is a shortage that takes a long time to process the results of the questionnaire data and only uses one of the criteria of the Tridarma of Higher Education, namely Education and Teaching. So that the resulting decision is not yet valid. In this study a Decision Support System (DSS) will be made where the decision support system can help a person in making accurate and well-targeted decisions. The method used is AHP to calculate the weight of each criterion and TOPSIS to rank each alternative based on each criterion. The results obtained in this study are a system that is able to produce the best rank of lecturers in STMIK Insan Pembangunan.
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Srinadi, Ni Luh Putri, I. Nyoman Suraja Antarajaya, Luh Putu Wiwien Widhyastuti, Dandy Pramana Hostiadi, Erma Sulistyo Rini, and Pharan Chawaphan. "Analysis of Combination Machine Learning Classification with Feature Selection Technique for Lecturer Performance Analysis Model." MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer 24, no. 2 (2025): 285–96. https://doi.org/10.30812/matrik.v24i2.4356.
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Machine learning-based classification techniques are widely utilized for accurate analysis in various fields. This study focuses on assessing lecturer performance in higher education to enhance teaching standards and produce high-quality learning outcomes. Previous studies have employed multiparameter approaches, such as statistical correlation analysis, but these methods fail to achieve optimal accuracy and precision due to limited alignment with data characteristics. This research proposes a lecturer performance measurement model by evaluating three machine learning algorithms: k-Nearest Neighbors (k-NN), Decision Tree, and Na¨pve Bayes. The model integrates three feature selection techniques to improve classification performance: ANOVA, Information Gain, and Chi-Square. The study aims to enhance classification accuracy and assess the impact of feature selection techniques on performance metrics. A significant contribution of this research is introducing a dynamic feature selection approach tailored to data characteristics, which improves classification model performance. The methodology comprises three main stages: data loading and measurement of relevant parameters; data preprocessing, including filtering, cleaning, transformation, normalization, and feature selection; and performance evaluation using a machine learning-based classification approach. Experimental results demonstrate that the Decision Tree algorithm combined with Chi-Square feature selection achieved an accuracy of 0.887, precision of 0.903, recall of 0.887, and F1-score of 0.884. The proposed modelprovides a reliable framework for evaluating lecturer performance and can be utilized to recognize and reward high-performing lecturers effectively.
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Syahputra, Andrian, Deny Adhar, Abdul Meizar, et al. "Decision Support System For Selecting The Best Lecturer Using The Simple Additive Weighting (Saw) Method." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 4, no. 3 (2025): 1934–37. https://doi.org/10.59934/jaiea.v4i3.1081.
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The selection of the best lecturer at Politeknik LP3I Medan Marelan has traditionally been conducted manually, lacking clear evaluation criteria. This results in subjective judgments and reduced transparency. This research proposes a decision support system (DSS) based on the Simple Additive Weighting (SAW) method to enhance the objectivity and fairness of the selection process. The system evaluates lecturers using multiple criteria: teaching quality, discipline, and peer assessment. Each criterion is weighted according to its institutional importance, and a final ranking is produced based on aggregated normalized scores. The implementation of the SAW-based DSS demonstrates improved decision accuracy, transparency, and fairness in lecturer evaluation. The system offers an effective solution to support academic decision-making and could serve as a reference model for other higher education institutions.
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Nadim, Jusak, and I. Gusti Ngurah Alit Widana Putra. "The East Java Veterans National Development University's admissions decision-support system for non-PNS lecturers." INFOTECH : Jurnal Informatika & Teknologi 4, no. 1 (2023): 47–58. http://dx.doi.org/10.37373/infotech.v4i1.546.
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Universitas Pembangunan Nasional Veteran Jawa Timur merupakan salah satu Universitas Negeri di kota surabaya. Universitas Pembangunan Nasional Veteran ini memiliki Program Sarjana (S1), Program magister (S2), Universitas Pembangunan Nasional (UPN) Veteran East Java is one of the State Universities in the city of Surabaya. Universitas Pembangunan Nasional Veteran has a Bachelor Program (S1), Master Program (S2), Doctoral Program (S3). Every certain period the University opens job vacancies to find Educators (Lecturers). The selection stage consists of basic ability tests, field ability tests, teaching ability tests, and interviews. Unfortunately, to decide who is a prospective lecturer who is accepted as a new lecturer, you have to wait approximately two weeks because the results of each stage still have to be calculated first by the committee and have not used the Decision Support System. The method to be used in this study is Simple Additive Weighting which is one method in supporting decisions. Data collection was carried out by means of interviews and observations as well as literature studies to support this research. The result of this study is the application of a decision support system that can help the selection of non-civil servant lecturer admissions that can be used for consideration by decision makers by the University of National Development of East Java Veterans to decide who are the prospective lecturers who pass or not in the selection in a shorter time than before.
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Hadad, Sitna Hajar, Muksin Hi Abdullah, Nurnela, and Radina Hamza Hairun. "Multi Attribute Decision Making Penentuan Dosen Terbaik Menggunakan Metode Multi-Objective Optimization by Ratio Analysis dan Surrogate Weighting." Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) 3, no. 1 (2024): 24–35. https://doi.org/10.58602/jima-ilkom.v3i1.24.
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The best lecturers are people who not only have high academic expertise in their fields, but also have the ability to inspire and guide students well. The main problem in determining the best lecturer is subjectivity in the evaluation process. Evaluation of lecturer performance often tends to be based on parameters that are qualitative in nature and can be influenced by personal preferences, or subjective perceptions. This study aims to solve problems in the selection of the best lecturers using the MADM approach with the method used, namely MOORA in the selection of the best lecturers and the surrogate weighting method to determine the weight of criteria to be used in the selection of the best lecturers. The ranking results show no difference in ranking from the rank sum, rank order centroid, and reciprocal rank weighting methods. The results for rank 1 were obtained on behalf of ID Lecturers, rank 3 was obtained on behalf of SH Lecturers, and rank 3 was obtained on behalf of KU Lecturers, using the rank sum, rank order centroid, and rank reciprocal weighting methods. The comparison results that the rank sum, rank order centroid, and reciprocal rank weighting methods are very suitable in recommending the best lecturers by applying the MOORA method. The combination of rank sum weighting method and MOORA, the combination of rank order centroid and MOORA weighting method, and the combination of reciprocal rank weighting method and MOORA there is no difference in the final ranking of the best lecturers.
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Marina, Yusoff, and Amalina Othman Anis. "Genetic Algorithm with Elitist-Tournament for Clashes-Free Slots of Lecturer Timetabling Problem." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (2018): 303–9. https://doi.org/10.11591/ijeecs.v12.i1.pp303-309.
Full textAbstract:
Genetic algorithm (GA) approach is one of an evolutionary optimization technique relies on natural selection. The employment of GA still popular and it was applied to many real-world problems, especially in many combinatorial optimization solutions. Lecturer Timetabling Problem (LTP) has been researched for a few decades and produced good solutions. Although, some of LTP offers good results, the criteria and constraints of each LTP however are different from other universities. The LTP appears to be a tiresome job to the scheduler that involves scheduling of students, classes, lecturers and rooms at specific time-slots while satisfying all the necessary requirements to build a feasible timetable. This paper addresses the employment and evaluation of GA to overcome the biggest challenge in LTP to find clashes-free slots for lecturer based on a case study in the Faculty of Computer and Mathematical Sciences, University Technologi MARA, Malaysia. Hence, the performance of the GA is evaluated based on selection, mutation and crossover using different number of population size. A comparison of performance between simple GA with Tournament Selection scheme combined with Elitism (TE) and a GA with Tournament (T) selection scheme. The findings demonstrate that the embedded penalty measures and elitism composition provide good performance that satisfies all the constraints in producing timetables to lecturers.
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Asandimitra, Nadia, and Achmad Kautsar. "THE INFLUENCE OF FINANCIAL INFORMATION, FINANCIAL SELF EFFICACY, AND EMOTIONAL INTELLIGENCE TO FINANCIAL MANAGEMENT BEHAVIOR OF FEMALE LECTURER." Humanities & Social Sciences Reviews 7, no. 6 (2020): 1112–24. http://dx.doi.org/10.18510/hssr.2019.76160.
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Purpose of the study: The purpose of the study was to compare the financial information, financial self-efficacy and emotional intelligence on the financial management of women lecturer in state and private university.
 Methodology: This study was designed as a conclusive causality study. The study population was female lectures of state and private universities in Indonesia. From the population, there are two hundred (200) female lectures from a state university and private universities have selected as a sample of study by quota sampling method. The data collection techniques used in this research are interviews and surveys. Multiple regressions was chosen to get results with the SPSS tools.
 Main Findings: There is an influence of financial knowledge, financial self-efficacy, financial literacy, and emotional intelligence to the financial management behavior of female lecturers at state universities while there is no influence of financial attitude, financial literacy, and emotional intelligence to the financial management [behavior] of female university lecturers in private universities.
 Applications of this study: The results of this study will be beneficial for financial institutions and governments that usually hold education and training programs for their customers to increase financial knowledge so as to increase the confidence of their customers (including lecturers) in their ability to manage finance. Furthermore, this knowledge will be conveyed back to the students of the lecturer in the learning process about finance, so that it will indirectly increase the financial literacy of their students and society at large.
 Novelty/Originality of this study: Many researches about financial behavior topics have analyzed financial information factors’ influence on financial management behavior, but few of them have included psychological factors such as financial self-efficacy and emotional intelligence. This distinguishes this research compared to other studies of financial behavior as it analyzes the two effects of psychological factors on financial management behavior. Another novelty of this study is the selection of female lecturer as research object as their characteristic as well-informed and well-educated about financial management that has not observed by previous studies.
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Indayanti, Aneu Nandya, Afifah Barkatul Atqiya, and Badrudin Badrudin. "Education Human Resource Management in the Recruitment of Extraordinary Lecturers." Munaddhomah: Jurnal Manajemen Pendidikan Islam 3, no. 2 (2022): 194–202. http://dx.doi.org/10.31538/munaddhomah.v3i2.262.
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In facing the challenges of the era of Society 5.0, improving the quality of human resources is influenced by the vital role of education. One way to increase the effectiveness of talent in facing the challenges of society 5.0 is to capitalize on the needs of the labor market through recruitment. Through recruitment, an organization or institution can choose an employee who qualified according to existing criteria or characteristics to fill certain required positions. One of the programs available at the Faculty of Tarbiyah and Teacher Training in question is the implementation of the recruitment of educators for Extraordinary Lecturers (Dosen Luar Biasa-LB Lecturer). This is the background for the author to study more deeply about planning management and the recruitment process as well as the direction of the policy for determining LB Lecturers at the Faculty of Tarbiyah and Teacher Training UIN Sunan Gunung Djati Bandung. The research in this article uses a qualitative descriptive method with field study techniques, interviews, and a literature study. The results of this study found that: first, the planning process for the recruitment of LB lecturers at the Faculty of Tarbiyah and Teacher Training starts with analyzing the needs of lecturers, which will be outlined and followed up by the Faculty leadership. Second, the recruitment process for LB lecturers at the Faculty of Tarbiyah and Teacher Training is carried out by disseminating information on lecturer needs, receiving lecturer application data with administrative requirements, carrying out a scheduled selection process with CBT exam stages, interviews and displays of Microteaching. Third, the policy direction for determining the results of the recruitment and selection of LB lecturers at the Faculty of Tarbiyah and Teacher Training is to get superior lecturers who are qualified according to the needs of the Faculty
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Limbong, Tonni, Janner Simarmata, S. Sriadhi, et al. "The Implementation of Multi-Objective Optimization on the Basis of Ratio Analysis Method to Select the Lecturer Assistant Working at Computer Laboratorium." International Journal of Engineering & Technology 7, no. 2.13 (2018): 352. http://dx.doi.org/10.14419/ijet.v7i2.13.16919.
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A lecturer assistant is expected to be professional when dealing with the score or decision. Being professional, the lecturer assistant will be constantly respected by the students. The lecturer assistant should be able to make use of the time to keep the disciplinary. Selecting and determining the lecturer assistant at Computer Science of Unika St. Thomas Medan are conducted by the phases of selecting and taking value of the test score, the semester of lecturer assistant candidate, the number of classes to be assisted, cumulative grade point achievement, and the score of the assisted course. The Method of Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) is in the part of Decision Support System introduced by Brauers dan Zavadkas. This method is the multi-objective optimization technique which is successfully applied to solve the various complicated decision-making and well-used in terms of lecturer assistant selection due to its simple calculation and easiness to understand.
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Yusoff, Marina, and Anis Amalina Othman. "Genetic Algorithm with Elitist-Tournament for Clashes-Free Slots of Lecturer Timetabling Problem." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (2018): 303. http://dx.doi.org/10.11591/ijeecs.v12.i1.pp303-309.
Full textAbstract:
<span>Genetic algorithm (GA) approach is one of an evolutionary optimization technique relies on natural selection. The employment of GA still popular and it was applied to many real-world problems, especially in many combinatorial optimization solutions. Lecturer Timetabling Problem (LTP) has been researched for a few decades and produced good solutions. Although, some of LTP offers good results, the criteria and constraints of each LTP however are different from other universities. The LTP appears to be a tiresome job to the scheduler that involves scheduling of students, classes, lecturers and rooms at specific time-slots while satisfying all the necessary requirements to build a feasible timetable. This paper addresses the employment and evaluation of GA to overcome the biggest challenge in LTP to find clashes-free slots for lecturer based on a case study in the Faculty of Computer and Mathematical Sciences, University Technologi MARA, Malaysia. Hence, the performance of the GA is evaluated based on selection, mutation and crossover using different number of population size. A comparison of performance between simple GA with Tournament Selection scheme combined with Elitism (TE) and a GA with Tournament (T) selection scheme. The findings demonstrate that the embedded penalty measures and elitism composition provide good performance that satisfies all the constraints in producing timetables to lecturers. </span>
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Polоvyi, Viktor, Ruslan Saliutin, Andrii Palianytsia, et al. "STAGES OF PLANNING OF LECTURE MATERIAL MASTERING BY INTERNS." Clinical anatomy and operative surgery 21, no. 4 (2022): 68–74. http://dx.doi.org/10.24061/1727-0847.21.4.2022.48.
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The lecture is one of the main components of the didactic cycle of education in higher educational institutions. At the same time, the majority of interviewed students of the Master’s educational qualifi cation level believe that they receive up to 60% of the educational material from lectures.Aim of the work. To optimize the teaching of lecture material by forming of professionally oriented basis for the subsequent mastering of educational material by students.Main part. During preparation of a lecture for intern doctors, the lecturer must follow the next stages: analysis and selection of the main key material that forms the logical basis of the topic; selection of main problems and their transformation into problematic situations; substantiation of the logic and method of solving of each problem situation; the combination of lecture content into a integrated system of knowledge and its methodical support, aimed to predict the success of the application of methodical techniques for activation of the attention and thinking of intern doctors.Conclusions. Lecture classes contribute to the creative communication of the lecturer with the audience in the context of co-creation, emotional interaction and are the eff ective way to obtain professional knowledge through an individualized form of reading the lecture, depending on the topic, the preparedness of the audience, the availability of technical means, which contributes to the activation of the spatial meaningful activity of intern doctors.
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Harahap, Dedy Ansari, L. Lasmanah, Nunung Nurhayati, Sri Suwarsi, Pupung Purnamasari, and Dita Amanah. "THE COLLEGE SELECTION BASED ON THE EDUCATION COST, UNIVERSITY IMAGE AND LECTURER QUALITY." Revista de Investigaciones Universidad del Quindío 33, no. 2 (2021): 32–44. http://dx.doi.org/10.33975/riuq.vol33n2.600.
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The purpose of this paper is to analyze the effect of education cost, university image and quality of lecturers on student decisions to choose a college. To achieve the proposed goals, a model is applied that reflects the effect of education costs, university image and quality of lecturers on student decisions to choose universities. This model was tested through the use of multiple linear regression equations and the sample was 388 student candidates. The conceptual model shows that the image of a university is the most influential construct on student decisions to choose a campus, followed by the quality of lecturers and the cost of education. In this paper, the cost of education variable produces a reliability of 0.861, a college image of 0.918 and a lecturer quality of 0.937. Further research is needed in order to find more reliable measurements of indicators of education cost, university image and quality of lecturers. The image of a university is the highest impression that is in the minds of students in choosing a university, followed by the quality of lecturers and the cost of education. Proven. The results show that the image of the university, the quality of the lecturers and the cost of education have an influence on student decisions to choose a campus.
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Руднева, Татьяна Ивановна. "ODERN UNIVERSITY LECTURER TYPE: TRADITIONS AND INNOVATIONS." Вестник Тверского государственного университета. Серия: Педагогика и психология, no. 2(51) (October 6, 2020): 134–39. http://dx.doi.org/10.26456/vtpsyped/2020.2.134.
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Актуализируется проблема трансформации образовательных процессов в университете, вызванных изменением его миссии и задач, решаемых преподавателями. Обращается внимание на факторы появления нового типа преподавателя (формированию которого должна способствовать подготовка аспирантов), интеллектуального потенциала современного общества, новых педагогических кадров. Инновации предполагают уважительное отношение к прошлому, к истории российского университетского образования, преимущество которого перед другими образовательными учреждениями заключается в научной направленности. Исследование показало, что успешность педагогической деятельности обусловлена взаимосвязью педагогического и научного. В доказательство в статье приводятся результаты исследований особенностей деятельности преподавателя университета, характеристики преподавателя нового типа университета -когнитивного, полученные автором статьи в ходе лонгитюдного исследования, выборку которого представили преподаватели классических университетов (Самара, Москва, Санкт-Петербург). Материалы статьи будут интересны преподавателям вузов, руководству образовательных процессов, аспирантам и исследователям в области профессионального образования. The article updates the problem of educational processes transformation at the university caused by changes in its mission and tasks which are solved by lecturers. Attention is drawn to the emergence factors of a new lecturer type, the formation of which should be facilitated by postgraduate development of competence, the intellectual potential of modern society, new pedagogical personnel. Attention is drawn to the fact that innovation implies a respectful attitude towards the past, to the history of Russian university education, the advantage of which over other educational institutions is scientific. The study proved that success of pedagogical activities is due to the relationship between pedagogical and scientific activities. The evidence in the article contains the results of studies of the peculiarities of the university lecturer’s activity, characteristics of a new university lecturer type - cognitive, obtained by the author of the article during the longitudinal study, selection of which was presented by lecturers of classical universities (Samara, Moscow, St. Petersburg). The article materials will be interesting to university lecturers, educational process direction, postgraduate students and researchers in the field of vocational training.
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Lumban, Romayani, and Muhammad Syahrizal. "Penerapan Sistem Pendukung Keputusan Seleksi Dosen Non Komputer Terbaik Menggunakan Metode Weighted Product (WP)." Journal of Computing and Informatics Research 3, no. 3 (2024): 225–31. http://dx.doi.org/10.47065/comforch.v3i3.1492.
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Lecturers are individuals who have professional and scientific expertise, with the main task of changing, developing and disseminating knowledge, technology and art through educational activities, research and community service. Until now, the selection process for Non-Computer Lecturers has focused on experience as an educator, although there are several other criteria that can be used as a basis for selecting Non-Computer Lecturers. These criteria include Grade Point Average (GPA), ability to collaborate in a team, physical and mental health, expertise in interpersonal skills, and ability in Micro Teaching. The selection process for Non-Computer Lecturers requires support from a decision support system (DSS). DSS is part of a computer-based information system (including knowledge-based systems) that is used to assist in decision making in various types of organizations or entities. In this research, the Weighted Product (WP) method is used to select the best Non-Computer Lecturers. The choice of this method is based on its ability to evaluate and select the best solution from a variety of available alternatives. The results obtained from this research are that alternative A1 with the name Lecturer "Melda Panjaitan, M.Pd" with a value of Vi = 0.2220 is the best alternative.
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Ginting, Garuda, Mesran Mesran, and Kurnia Ulfa. "Sistem Pendukung Keputusan Pemilihan Beasiswa Pasca Sarjana Menerapkan Metode Analytic Hierarchy Process(AHP) dan Weight Aggregated Sum Product Assessment(WASPAS) (StudiKasus: STMIK Budi Darma)." Prosiding Seminar Nasional Riset Information Science (SENARIS) 1 (September 30, 2019): 834. http://dx.doi.org/10.30645/senaris.v1i0.90.
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Continuing education to post-graduate level, even doctoral is the dream of all educators, in this case, lecturers. However, the limited cost is one of the obstacles encountered by a lecturer. The existence of scholarships given by institutions to lecturers to continue their education is a dream for a lecturer. But in awarding the scholarship, use the criteria set, so that the awarding of post-graduate scholarships to selected lecturers is correct and free of errors. For this reason, the author intends to conduct research on the selection of post-graduate scholarships by applying the AHP and WASPAS methods. AHP is used to produce weights on each criterion according to the priority of the criteria for awarding a post-graduate scholarship. While the WASPAS method is used to rank the alternatives. It is expected that the results of the study will provide effective results for the institution towards recipients of post-graduate scholarships.
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Dewi, Laskmi, Nanda Khaerunisa Syafitri, Dinn Wahyudin, Deni Darmawan, and Yulia Rahmawari. "Instructional Communication Management Strategy in Curriculum Development of Indonesia Higher Education Institutions." Jurnal Edutech Undiksha 12, no. 1 (2024): 63–74. https://doi.org/10.23887/jeu.v12i1.65178.
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Universities need to have an educational focus by using a multicampus system that must be integrated to achieve its goals. Therefore, an instructional communication strategy needs to be implemented to support management in building communication. This study is to analyze instructional communication strategies and lecturer competency management policies that can be understood and implemented in the teacher education curriculum. The method used in this research is a descriptive method with a quantitative approach with data collection techniques through questionnaires regarding the teaching team's instructional communication management. The research results show that the instructional communication strategy by lecturers in the university environment has been implemented very well. Classroom learning activities, including instructional communication planning, selection of learning methods and strategies, selection of material delivery systems, and use of teaching materials, have also been carried out very well. It happens with lecturers' communication skills and support from university leaders. It hopes that the instructional communication strategy in curriculum development for lecturer educational institutions can be further developed with training related to the development of learning activities starting from lesson planning, learning methods, and strategies to aspects of assessment and evaluation.
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Adriyendi, Adriyendi, and Yeni Melia. "DSS using AHP in Selection of Lecturer." International Journal of Informatics and Communication Technology (IJ-ICT) 4, no. 2 (2015): 79. http://dx.doi.org/10.11591/ijict.v4i2.pp79-85.
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<span lang="IN">This paper was conducted to apply Analytical Hierarcy Process (AHP), applied as Decision Support System (DSS) model in selection of lecturer at STAIN Batsangkar. Data collected by through observation and interview done in shares of administration academic data center at college. Here in data analyzed to learn the pattern from method used and added with the reference from literature. Experiment done using Microsoft Excel and Expert Choice Software, known that method can yield the optimal decision in selection of lecturer. There by the method recommended to be applied to getting optimal result in decision making.</span>
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Marzal, Jefri, Edi Elisa, Pradita Eko Prasetyo Utomo, Dwi Agus Kurniawan, and Muhammad Iqbal. "Assessment Higher Education Perspective by Tenure of Lecturer Thesis Student Undergraduate: Elista." Jurnal Pendidikan dan Pengajaran 55, no. 2 (2022): 341–52. http://dx.doi.org/10.23887/jpp.v55i2.46228.
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The problem that often occurs during lectures is the mismatch of time from the supervisor's response which becomes a very difficult challenge for students in doing their final project/thesis. The purpose of this study was to analyze the supervisor's response time in conducting thesis guidance using Elista which was differentiated based on years of service. This research is a mixed method research with explanatory design, where quantitative data is strengthened by qualitative data. The population in this study were lecturers with a sample selection technique using purposive sampling technique with the sample criteria being lecturers who had become student thesis supervisors so that a sample of 1270 lecturers was obtained which was grouped into 4 work intervals, namely 1-10 years, 11-20 years. years, 21-30 years, and 31-40 years. Data collection in this study was obtained through the Elista database regarding the supervisor's response time and through interviews with lecturers from each working period. Analysis of quantitative data using descriptive analysis and qualitative data using analysis of Miles and Huberman. The results showed that lecturers with 1-10 years of service and 11-20 years had better guidance response times than lecturers with longer tenures because lecturers with 1-10 years of service were more productive in using technology and strongly supported the fast response of supervisors. The implication of this research is that to speed up the travel time of student graduation, a good response from the supervisor is needed, where this response can also be distinguished by the tenure of the lecturer.
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Sustiyatik, Enni, and Tontowi Jauhari. "Influence of Innovative Behavior, Work Discipline, Creative Thinking and Work Environment on the Performance of Lecturers with Work Commitment as Intervening Variables." International Journal of Economics, Business and Management Research 06, no. 09 (2022): 293–316. http://dx.doi.org/10.51505/ijebmr.2022.6923.
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Discipline, Creative Thinking and Work Environment on Lecturer Performance at Kadiri University with Work Commitment as an intervening variable. Currently the phenomenon related to the management of higher education in Indonesia is increasingly complex, the management is required to be globally oriented. Institutions must be managed professionally through the selection of strategies that are supported by professional human resource management, namely by implementing strategies that are oriented towards innovation, work discipline, creativity, harmonizing the work environment and the right work commitment in order to anticipate continuous competition or educational competence increase. Data analysis using Structural Equation Modeling (SEM). The research population of lecturers at Kadiri University is 454 people. With the Slovin formula the sample is determined to be 212 people. The results showed 1). There is a significant influence between the variables of Innovative Behavior on Lecturer Performance. 2). There is a significant influence between Work Discipline on Lecturer Performance. 3). There is a significant influence between Creative Thinking variables on Lecturer Performance. 4). There is a significant influence between the variables of the Work Environment on Lecturer Performance. 5). There is an influence between the variables of Innovative Behavior on Lecturer Performance with Work Commitment as an intervening variable. 6). There is an influence between the variables of Work Discipline on Lecturer Performance with Work Commitment as an intervening variable. 7). There is an influence between the Creative Thinking variable on Lecturer Performance and Work Commitment as an intervening variable. 8). There is an influence between the variables of the Work Environment on Lecturer Performance with Work Commitment as an intervening variable.
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Hardianto, Roki, Wirdahchoiriah Wirdahchoiriah, and Fana Wiza. "SOSIALISASI PENGISIAN SISTER BAGI DOSEN PESERTA SERTFIKASI DOSEN TAHUN 2020." Jurnal Pengabdian Masyarakat Multidisiplin 4, no. 1 (2020): 42–47. http://dx.doi.org/10.36341/jpm.v4i1.1404.
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This activity is to provide assistance to the group of Lancang Kuning University lecturers, especially to the lecturers participating in the Phase I lecturer certification in 2020. The service team will explain the techniques and methods of collection starting with explaining the functions of the Sister application (www.sister.unilak.ac.id ) for lecturers both lecturer certification participants and certified lecturers. Certification participants must enter their personal data, educational history, functional position history, education implementation history, research history, service history and other supporting data. All participants explained the rules in the process of inputting data, especially the maximum size of data that can be input up to a quick trick in order to be able to input data themselves on the application. Of the 10 faculties at Lancang Kuning University, 72 lecturers can continue at stage D3 to stage D4. Whereas at stage D5 only 51 lecturers were able to proceed because of the selection process for the assessment of the system. The dedication team made WAG in guiding the data system input process in the framework of the certification process. This is done so that they can monitor and assist if there are obstacles in the certification process.
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Fajrussalam, Hisny, Fitria Zulfa, Indra Saeful Hidayat, and Ajat Saputra. "Pengembangan Kompetensi Dosen di Sekolah Tinggi Agama Islam Riyadhul Jannah Jalancagak Subang Jawa Barat." LEADERIA: Jurnal Manajemen Pendidikan Islam 1, no. 1 (2020): 38–52. http://dx.doi.org/10.35719/leaderia.v1i1.2.
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The research aims to describe the competence development of lecturers at the Riyadhul Jannah Islamic College, Jalancagak Subang West Java. The study was conducted with a qualitative approach. Data obtained by observation, interview, and documentation techniques. The results obtained were the competence development of lecturers carried out by the Riyadhul Jannah Islamic Islamic College consisting of four variables, namely 1) communication and motivation; 2) lecturer professionalism; and 3) conflict management. Reformulation is needed in the lecturer development conducted by the Riyadhul Jannah Islamic College in order to improve the quality of higher education. Some homework also needs to be carried out to better support the process of lecturer development competence so that quality learning processes are achieved, namely re-selection of lecturers who are not linear and lecturer honorarium enhancement. Penelitian ini bertujuan untuk mendeskripsikan pengembangan kompetensi dosen di Sekolah Tinggi Agama Islam Riyadhul Jannah Jalancagak Subang Jawa Barat. Penelitian dilakukan dengan pendekatan kualitatif. Data diperoleh dengan teknik observasi, wawancara, dan dokumentasi. Hasil yang diperoleh adalah pengembangan kompetensi dosen yang dilakukan oleh Sekolah Tinggi Agama Islam Riyadhul Jannah yang terdiri dari empat variabel, yaitu 1) komunikasi dan motivasi; 2) profesionalisme dosen; dan 3) manajemen konflik. Diperlukan reformulasi dalam pengembangan kompetensi dosen yang dilakukan oleh Sekolah Tinggi Agama Islam Riyadhul Jannah dalam rangka meningkatkan kualitas pendidikan tinggi. Beberapa pekerjaan rumah juga perlu dilakukan untuk lebih mendukung proses pengembangan kompetensi dosen sehingga proses pembelajaran yang berkualitas tercapai, yaitu pemilihan ulang dosen yang tidak linier dan peningkatan honorarium dosen. Kata Kunci, pengembangan komepetensi dosen, perguruan tinggi Islam
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Rahmat, Munawar. "Model Perkuliahan Pendidikan Agama Islam Yang Damai, Moderat, dan Toleran." Nadwa 12, no. 1 (2018): 39. http://dx.doi.org/10.21580/nw.2018.12.1.2180.
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<p><em>The study aims to describe the model of Islamic Religious Education (PAI) lectures that are peaceful, moderate, and tolerant in Indonesia University of Education (UPI). The research method used is descriptive-qualitative. </em><em>The study found that the peaceful, moderate, and tolerant model of Islamic Education is to use open-ended lecture models that include the openness of lecturers, materials and methods. The openness of the lecturer is shown by the attitude and the thinking of the lecturer who sees the difference of understand, madzhab and religion as necessity and not exclusive, material disclosure is shown by substantive and inclusive material selection, while method openness is demonstrated by the use of an argumentative dialogical learning method consisting of ushul study cross-mazhab method, methodology of madhahab typhology and method of study of religions</em>.</p><p> </p><p><strong>Abstrak</strong></p><p>Penelitian bertujuan mendeskripsikan model perkuliahan PAI yang damai, moderat, dan toleransi di Universitas Pendidikan Indonesia (UPI) Bandung. Metode penelitian yang digunakan deskriptif-kualitatif. Penelitian menemukan bahwa Model Pendidikan Agama Islam yang damai, moderat, dan toleran yaitu menggunakan model perkuliahan yang terbuka yang meliputi keterbukaan dosen, materi dan metode. Keterbukaan dosen ditunjukkan dengan sikap dan pemikiran dosen yang melihat perbedaan paham, mazhab dan agama sebagai keniscayaan dan tidak bersifat eksklusif; keterbukaan materi ditunjukkan dengan pemilihan materi secara substantive dan inklusif,sedangkan keterbukaan metode ditunjukkan dengan penggunaan metode pembelajaran yang dialogis argumentatif yang terdiri dari metode studi <em>ushul</em> lintas mazhab, metode tipologi mazhab dan metode studi agama-agama.</p>
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Lutfi, Diini Salma. "SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN DOSEN BARU DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)." Jurnal Teknologi Informasi dan Terapan 4, no. 1 (2019): 11–16. http://dx.doi.org/10.25047/jtit.v4i1.15.
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Politeknik Negeri Jakarta (PNJ) is one of state polytechnic long-established in Indonesia. To date PNJ has seven courses and Information Engineering and Computer is the newest course. Hence the newly established, this course needed competent lecturers so that quality of the course can increase rapidly. To help and accelerate lecturer selection committee in assessing lecturers, then made a decision support system using simple additive weighting (SAW) method and for development system process using waterfall method. From the result of testing, system was be able to give recommendation lecturers selected by using SAW method that was displayed in a ranking table.
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Teotino, G. Soares1. "A HYBRID METHODS DSS FOR THE BEST PERFORMING LECTURERS SELECTION." International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) 12, no. 1/2 (2023): 13. https://doi.org/10.5281/zenodo.8037345.
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The hybrid method is a combination of the Analytical Hierarchy Process (AHP) method, the Profile Matching method, and the Composite Performance Index (CPI) method, which is used as a process in a decision support system (DSS) to select the best performing lecturers. The selection process requires a systematic mechanism to ensure consistency and transparency in making decisions. So this study used a hybrid method with the criteria listed in the teaching and learning scorecard and the results of student evaluations for selecting the best-performing lecturers. This research aims to provide knowledge about the computed value of the priority level and consistency ratio of criteria from the AHP method, as well as the competence GAP value from profile matching and the ranking value for each alternative using the CPI method. Results showed that the hybrid method succeeded in calculating the weight value of the level of importance and the criteria consistency ratio of 0.049 and was able to determine the best-performing lecturer from 46 alternatives as a candidate with the highest ranking score of 141.12
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Rahayu, Sucik, Susana Aditya Wangsanata, and Mira Mareta. "Implementasi Nilai-nilai Islam dalam Praktik Rekrutmen dan Seleksi Dosen di Sekolah Tinggi Islam Sunniyyah Selo Grobogan." An-Nidzam : Jurnal Manajemen Pendidikan dan Studi Islam 11, no. 2 (2024): 201–16. https://doi.org/10.33507/an-nidzam.v11i2.2339.
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Modern higher education plays a role in the development of global society with universities as centers of learning and technology that facilitates broad access to education. Sunniyyah Selo Islamic College Grobogan integrates Islamic values in lecturer recruitment to ensure academic competence and moral integrity, creating an academic environment that supports the development of Islamic character in students. This research aims to identify the application of Islamic values in the recruitment and selection practices of lecturers at Sunniyyah Selo Islamic College. The analysis was carried out using a qualitative descriptive analysis method. The results of this research show that the implementation of Islamic values in the recruitment and selection of lecturers at Sunniyyah Selo Islamic College emphasizes academic, moral and spiritual criteria with transparency and justice. This strategy includes the formation of a committed recruitment team, selection criteria based on Islamic values, and comprehensive selection methods, as well as collaboration with religious institutions. These steps create a fair and transparent academic environment, strengthen STISS's identity as a credible Islamic education institution, and contribute to the sustainable development of Islamic education.
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Farhantama, Andrean Miksa, and Murein Miksa Mardhia. "Double Diamond Approach for Mobile-based UX: Connecting Students to Professional IT Projects." Journal of Information Systems and Informatics 6, no. 2 (2024): 937–48. http://dx.doi.org/10.51519/journalisi.v6i2.745.
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Students at UAD can join various projects offered by their lecturers, including research, internships, assignments, and competitions. These opportunities are typically communicated through research workshops or WhatsApp groups. Currently, more lecturers are getting research projects that require students as technical members, but they need to be sure about the students' sufficient abilities. On the other hand, not all students receive this information, and project monitoring is often done informally via WhatsApp. All students should get projects so they can graduate from project management courses or internships. To address this, lecturers can help speed up the process of students getting projects by inviting students to join their projects. An application was proposed to streamline information dissemination, student selection, and project monitoring. The study employed the double diamond method—Discover, Define, Develop, and Deliver —to design the app's UI/UX prototype. Usability and user experience testing showed high success rates for both lecturer and student applications, with 91.81% and 84.54% respectively. The student app scored well on attraction (1.63), clarity (1.45), efficiency (1.70), accuracy (1.70), stimulation (1.95), and novelty (1.40). The lecturer app scored even higher on attraction (2.47), clarity (1.45), efficiency (2.25), accuracy (1.95), stimulation (2.65), and novelty (2.45).
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Ardi, Ardi, and Irfan Fadhli. "SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BEASISWA DOKTOR UNTUK DOSEN POTENSIAL DENGAN METODE SMART." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 7, no. 1 (2020): 39–46. http://dx.doi.org/10.33330/jurteksi.v7i1.911.
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Abstract: The role of lecturers in higher education is one of the most influential parts of the quality of students produced. Lecturer educational qualifications are also an important aspect of improving academic and institutional quality. Selection of foundation scholarships in the form of doctoral education currently has problems in choosing prospective lecturers. In the selection of doctoral scholarships for potential lecturers, there is still subjectivity in their selection manually. As a supporting medium in determining the selection of potential lecturers to obtain doctoral education foundation scholarships and testing the SMART (Simple Multi Attribute Rating Technique) method to provide scholarship recommendations for prospective lecturers. The selection process uses the SMART method because this method is able to solve multi-criteria problems from the foundation, in this case the Chancellor of the Indonesian Community Development University. Furthermore, the criteria are processed using an application built using the PHP and MySQL programming languages to test these criteria. From the application built, it can be concluded that Yuanita, M.Si with a score of 0.7342 and Khairuddin Tampubolon, M.Si with a score of 0.6311 are entitled to get a doctoral education scholarship from the foundation. Then subjective and computerized decisions can be obtained in this study.. Keywords: Decision Support Systems; Mysql; PHP ; Potential Lecturer Scholarships, Simple Multi Attribute Rating Technique. Abstrak: Peran dosen di perguruan tinggi adalah salah satu bagian paling berpengaruh dari kualitas mahasiswa yang dihasilkan. Kualifikasi pendidikan dosen juga merupakan aspek penting untuk meningkatkan kualitas akademik dan kelembagaan. Pemilihan beasiswa yayasan dalam bentuk pendidikan doktor saat ini memiliki masalah dalam memilih calon dosen. Dalam pemilihan beasiswa pendidikan doktoral untuk dosen potensial masih ada subjektivitas serta dalam seleksi mereka secara manual. Sebagai media pendukung dalam menentukan seleksi dosen potensial untuk memperoleh beasiswa yayasan pendidikan doktoral dan menguji metode SMART (Simple Multi Attribute Rating Technique) untuk memberikan rekomendasi beasiswa bagi calon dosen. Untuk proses seleksi menggunakan metode SMART karena metode ini mampu menyelesaikan masalah multi-kriteria dari yayasan dalam hal ini Rektor Universitas Pembinaan Masyarakat Indonesia. Selanjutnya, kriteria diproses menggunakan aplikasi yang dibangun menggunakan bahasa pemrograman php dan mysql untuk menguji kriteria ini. Dari aplikasi yang dibangun dapat ditarik kesimpulan bahwa Yuanita, M.Si dengan nilai 0,7342 dan Khairuddin Tampubolon, M.Si dengan nilai 0,6311 berhak mendapatkan beasiswa pendidikan doctoral dari yayasan. Kemudian keputusan subyektif dan terkomputerisasi dapat diperoleh dalam penelitian ini. Kata kunci: Beasiswa Dosen Potensial; Mysql; PHP; Simple Multi Attribute Rating Technique; Sistem Pendukung Keputusan.
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Mesran, M., and Nelly Khairani Daulay. "Implementation of Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assessment (WASPAS) Methods in Selection of Young Lecturers with Achievements." IJISTECH (International Journal of Information System & Technology) 5, no. 1 (2021): 84. http://dx.doi.org/10.30645/ijistech.v5i1.118.
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Lecturers are resources owned by the University. One of the efforts to improve the quality of lecturers is by giving appreciation in the form of rewards or awards to the best lecturers or lecturers who excel. However, to be able to provide these rewards, of course there are several assessments that will be given to lecturers. The problem is how to give the assessment so that the lecturer is declared worthy to receive a reward or award. There is a decision support system or abbreviated as DSS where in the system there are several methods that can be used to provide an assessment of course with the determined assessment criteria. In this research, the method used is the Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assessment (WASPAS) with several criteria into consideration. The results showed that alternative A3 and A2 were selected as outstanding young lecturers.