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Yeo, G.-T., D.-W. Song, J. Dinwoodie, and M. Roe. "Weighting the competitiveness factors for container ports under conflicting interests." Journal of the Operational Research Society 61, no. 8 (2010): 1249–57. http://dx.doi.org/10.1057/jors.2009.88.
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Angell, Kim, and Robert Huseby. "The All Affected Principle, and the weighting of votes." Politics, Philosophy & Economics 19, no. 4 (2020): 366–81. http://dx.doi.org/10.1177/1470594x20949938.
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In this article we defend the view that, on the All Affected Principle of voting rights, the weight of a person’s vote on a decision should be determined by and only by the degree to which that decision affects her interests, independently of her voting weights on other decisions. Further, we consider two recent alternative proposals for how the All Affected Principle should weight votes, and give reasons for rejecting both.
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Hamdani, Hamdani, Retantyo Wardoyo, and Khabib Mustofa. "Weighting Model for Group Decision Support System: A Review." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 3 (2018): 962. http://dx.doi.org/10.11591/ijeecs.v11.i3.pp962-974.
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This paper was conducted a survey of research findings related to decision-making in groups using weighting techniques This paper conducts a survey of research findings related to decision-making in groups using weighting techniques, therefore, a new weighting model can be proposed.. In order to make a decision, this model works based on the weighting parameters, criteria or decision makers (DM) to give ranking preference in the decision results. Weighting could be done objectively or subjectively by statistical calculations. Subjective weighting based on an understanding or expertise of the decision-making process, furthermore, a numerical value was needed to make it objective. The previous weighting models need to be modified for the development of group decision support systems (GDSS). It is required to accommodate the interests of all stakeholders to link the DM relationship. We formed several groups of weighting methods that currently use for the trend of group decision-making (GDM). It showed that the classical multi-criteria decision-making (MCDM) models are still dominant in solving GDSS problems, therefore, it was necessary to apply hybrid MCDM with an approach method of stakeholders models and social networks (SN) to improve decision model that has been applied in the previous research.
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Hamdani, Hamdani, Wardoyo Retantyo, and Mustofa Khabib. "Weighting Model for Group Decision Support System: A Review." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 3 (2018): 962–74. https://doi.org/10.11591/ijeecs.v11.i3.pp962-974.
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This paper was conducted a survey of research findings related to decisionmaking in groups using weighting techniques This paper conducts a survey of research findings related to decision-making in groups using weighting techniques, therefore, a new weighting model can be proposed.. In order to make a decision, this model works based on the weighting parameters, criteria or decision makers (DM) to give ranking preference in the decision results. Weighting could be done objectively or subjectively by statistical calculations. Subjective weighting based on an understanding or expertise of the decision-making process, furthermore, a numerical value was needed to make it objective. The previous weighting models need to be modified for the development of group decision support systems (GDSS). It is required to accommodate the interests of all stakeholders to link the DM relationship. We formed several groups of weighting methods that currently use for the trend of group decision-making (GDM). It showed that the classical multicriteria decision-making (MCDM) models are still dominant in solving GDSS problems, therefore, it was necessary to apply hybrid MCDM with an approach method of stakeholders models and social networks (SN) to improve decision model that has been applied in the previous research.
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Yuliadi, Yuliadi, Reynaldo Romero, and Rodianto Rodianto. "Decision Support System For Determining Prospective Students' Department At Vocational School 1 Buer Using Simple Additive Weighting." Brilliance: Research of Artificial Intelligence 4, no. 2 (2024): 674–83. https://doi.org/10.47709/brilliance.v4i2.4211.
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Choosing a major is essential for students, especially junior high school students, who must choose the appropriate field. Vocational High School (SMK) is a formal education unit that organizes vocational education at the secondary education level as a continuation of junior high school. At SMK Negeri 1 Buer, the central determination system is carried out with a ranking system where the ranking system is carried out based on the order in which prospective students register for the primary major so that it cannot be determined according to the interests and talents of the students. The purpose of this major is so that students can be directed to receive lessons based on their abilities and skills. SMK Negeri 1 Buer has eight majors: Building Modeling and Information Design, Motorcycle Engineering and Business, Visual Communication Design, Light Vehicle Engineering, Welding Engineering, Industrial Electronics Engineering, Animation, and Graphic Engineering. Therefore, this decision support system can make it easier for schools to determine majors according to students' interests and talents. This study uses the Extreme Programming method as a system development method and Simple Additive Weighting for calculating the Decision Support System, using PHP as a programming language with the Codeigniter framework and MySQL database. With this SPK, SMKN 1 Buer can distribute students according to their interests and make it easier for students to choose majors according to their interests
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Ardiyanti, Sri, Muhammad Anwar, Yeka Hendriyani, and Waskito. "Design and Build Vocational Choice Applications in Vocational Schools Using the SAW (Simple Additive Weighting) Method." Indonesian Journal of Computer Science 12, no. 2 (2023): 515–26. http://dx.doi.org/10.33022/ijcs.v12i2.3186.
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Vocational High Schools provide knowledge of skills, interests, and talents according to vocational fields to face the world of work. The phenomenon that occurred in February 2022 stated that most SMK graduates were ready to work. Because of this, the data from the Central Bureau of Statistics on SMK graduates have a total score of 10.38%. So there is unemployment and a lack of interest and talent in choosing a vocational field. Based on information in determining vocational fields based on interests, talents, and colleagues there is no discrepancy between the major one chooses and personality. In measuring products, the Simple Additive Weighting method can be used to select the best alternative in the ranking process which totals the weight values of all criteria.
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Iswanto, Muhammad Edi, Maria Ulfah Siregar, Shofwatul 'Uyun, and Muhammad Taufiq Nuruzzaman. "Recommender systems for specializing new students in the K-13 curriculum using the profile matching, SAW, and a combination of both." Jurnal Teknologi dan Sistem Komputer 9, no. 2 (2021): 96–105. http://dx.doi.org/10.14710/jtsiskom.2021.13902.
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The selection of students' interests based on the 2013 curriculum (K-13) is carried out before students start learning in class X. Accuracy in its determination is required to ensure that students learn according to their interests and talents. This study applies three DSS methods, namely profile matching, SAW, and a combination of both, to provide accurate recommendations for determining these students' interests. The three methods are compared using the same alternatives and criteria to find the most dominant method. The results of this study indicate that the application of SPK can assist PPDB activities with an accuracy of 79.2 %. In determining interest for students, the combination method is the most dominant, with an accuracy of 78 %. The application of DSS not only helps the specialization process to be faster but also accurate. This is indicated by only 6 out of 122 students who chose specialization based on the DSS recommendation getting a score below the KKM.
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Imami, Marta Fairus Hani, Lutfi Hakim, Sepyan Purnama Kristanto, and Yuniarta Syarifatul Umami. "Sistem Identifikasi Minat dan Bakat Berbasis Multiple Intelligence dan Simple Additive Weighting." JOURNAL ZETROEM 6, no. 1 (2024): 1–9. http://dx.doi.org/10.36526/ztr.v6i1.3222.
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Interests and talents identification in children is generally carried out by psychologists who provide test services. But the procedures used are still manual and take a long time to get the results. In addition, the presence of psychologists is still limited and uneven in all regions of Indonesia. Therefore, in this study, a system was developed to identify children's interests and talents based on multiple intelligences which was developed by Howard Gardner with the Simple Additive Weighting method. This method is used to calculate the most dominant type of intelligence possessed by children based on a test device developed by psychologists using a Likert scale in the assessment of each question. Based on the results of testing carried out using black-box testing, it was found that all the features developed were 100% valid based on all the scenarios tested. In addition, the test results between the calculations in the application and manual with excel obtained a score of 100% valid which means that there is no significant difference between the two calculations. The output obtained from this system after the child has consulted is that the most dominant type of intelligence is obtained along with an explanation related to that intelligence, how to handle it, recommended extra-curricular activities and articles related to the type of intelligence. This application was developed with two actors, namely admin and child which was developed with the Laravel framework.
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Wijayanti, Oktaviani Ika, Khusnul Ashar, and Nurul Badriyah. "The Implementation of the Analytical Network Process (ANP) and Simple Additive Weighting (SAW) in the Decision Support System for Determining Village Development Planning." International Journal of Computer Applications Technology and Research 11, no. 08 (2022): 308–14. http://dx.doi.org/10.7753/ijcatr1108.1003.
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The research was conducted to respond to the existence of personal or group interests in determining village development planning, so to minimize personal and group interests, a decision support system is needed with the Analytical Network Process (ANP) and Simple Additive Weighting (SAW) approaches that have good performance. The purpose of the study was to determine the performance of the method, the quality of the application based on usability. The research was conducted by distributing questionnaires to respondents or participants as expiry users. Where the questionnaire is divided into two parts, namely: the first is a questionnaire to measure the performance of the ANP and SAW methods. The second questionnaire uses the USE qussenere to measure the quality of the application system. The results showed that the performance of the Analytical Network Process (ANP) and Simple Additive Weighting (SAW) methods on the decision support system obtained a Pk% result of 70% which was included in the feasible category. On the quality of the application system based on the usability test value of 75.67%. So that the system is included in the category of decent or good quality.
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Afriyani, Khilda, and Abdul Rohman. "Decision Support System Penentuan Jurusan Siswa Baru SMA Menggunakan Metode Simple Additive Weighting." Jurnal Mahasiswa Teknik Informatika 1, no. 2 (2022): 1–10. http://dx.doi.org/10.35473/.v1i2.1817.
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There is a change in the curriculum as well as the increasing number of students from year to year, many criteria are used in determining student majors according to the interests of students talent and desires. With these constraints it will affect the calculations process, so that the results obtained later do not rule out the possibility of non-objective selection. Therefore, the process of majoring in sma negeri 1ungaran which is still done manually need to switch digitization, namely by making a Decision Support System which will later be more effective, efficient and determined according to exixting criteria. This research was designed and developed using the PHP and MYSQL programming languages as the database and using the Simple Additive Weighting (SAW) method to perform weighted summation calculations containing ceveral criteria. From the results of testing using blackbox shows that this program can work according to its function, namely being able to input data and perform calculations for determining student majors. As well as accuracy testing which produces a fairly good level of accuracy of 80% from 100%. From the results of this study, it can be concluded that this system can determine students majors according to their academic interests and talents. And provide effectiveness and efficiency of teachers in helping majors.
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Irawan, Yuda, Herianto, and Susi Oustria Simamora. "Sistem Pendukung Keputusan untuk Menentukan Kegiatan Ekstrakurikuler Berdasarkan Bakat dan Minat Menggunakan Metode SAW (Simple Additive Weighting)." JTIM : Jurnal Teknologi Informasi dan Multimedia 1, no. 3 (2019): 198–205. http://dx.doi.org/10.35746/jtim.v1i3.37.
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Extracurricular activities are an internal part of the learning process that emphasizes meeting student needs, extracurricular activities can be a means to channel talents and interests to encourage the development of potential students. In the extracurricular elections at the Taruna Satria Vocational School Pekanbaru is still manual where the extracurricular counselor is still based on self competence, but extracurricular determination is left entirely to students. So that a system is needed to improve the quality of good education. In making a decision there are many methods, and for the decision making for the selection of extracurricular activities at the Satuna Satria Vocational School, the SAW method (simple additive weighting) is used, the SAW method is a method used to find optimal alternatives from a number of alternatives with certain criteria. The solution obtained is that the application designed is a Decision Support System to Determine Extracurricular Activities Based on Interests and Talents in the Taruna Satria Vocational School Pekanbaru. This application can provide several advantages compared to the current system, which is efficient and effective in processing information and data management. With this application, it will help guide teachers and especially for students to choose extracurricular activities quickly and based on the talents and interests of these students
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Hu, Yu-shan, and Chun-lei Zhu. "Credit Evaluation Model of Road Transportation Enterprises Based on the Combination Weighting Method." Mathematical Problems in Engineering 2021 (January 12, 2021): 1–10. http://dx.doi.org/10.1155/2021/6637164.
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In the road transportation industry, the high risk of default by enterprises will have a serious impact on consumer interests and market order. To improve the scientific nature of the credit evaluation of road transportation enterprises, this paper establishes a credit evaluation model based on the combination weighting method, considering the information volume, volatility, and difference of the road transportation enterprises data and using normalized constraints of maximum variance to determine the combination weights. The model fully considers the degree of difference between the indicators and makes up for the deviation of the single weighting method. Finally, the paper makes an empirical analysis of 115 road transportation enterprises in a certain province of China and verifies the rationality of the combination weighting model. The results show that the credit level of a road transport enterprise in a certain province is at a medium level. Strengthening the supervision and examination of the management, qualification, and safety production capacity of the enterprise can further improve the credit level of the road transportation enterprise.
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Prabowo, Ardian Adi, and Aji Supriyanto. "Comparison of AHP and SAW Methods for Predicting Career Interests of SMAN 1 Karanganyar Demak Students." SISTEMASI 14, no. 2 (2025): 643. https://doi.org/10.32520/stmsi.v14i2.5025.
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This study compares the efficacy of the Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods in predicting career interests of students at SMAN 1 Karanganyar Demak. The research assesses seven key factors: familial influence, educational engagement, individual capabilities, academic performance, institutional resources, resilience of a career, and academic interests. Results show that AHP prioritizes familial influence (28.94%), individual capabilities (17.10%), and educational engagement (16.23%), while SAW highlights career (15.75%), educational engagement (15.61%), and individual capabilities (14.92%). Both methods achieved an accuracy of 83.02%. Career recommendations were categorized into guidance-intensive cases (AHP: 42.68%; SAW: 46.00%), employment-oriented individuals (AHP: 33.96%; SAW: 32.97%), higher education aspirants (AHP: 12.94%; SAW: 10.06%), and entrepreneurial prospects (AHP: 10.42%; SAW: 10.96%).
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Delfín-Ortega, Odette Virginia, José César Lenin Navarro Chávez, and Pamela Ruiz Flores-Lopez. "Determining factors of public drug policies in Mexico. A study through Saaty's algorithm." Revista del Centro de Investigación de la Universidad la Salle 16, no. 62 (2024): 01–30. https://doi.org/10.26457/recein.v16i62.3875.
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This research seeks to identify the factors that influenced the empirical evidence in public drug policies in Mexico during the period 2006-2018, for which a weighting variable method was implemented through Saaty Algorithm. Public drug policies in Mexico were taken as a dependent variable, and in order to assign independent variables and dimensions, two questionnaires were carried out at different times: the first corresponding to the assignment of values for the variables, and the second to the dimensions of the variables resulting from the first study. In order to corroborate the assignment of weights to the variables, 26 experts on the subject of drug policy in Mexico were selected. The results show that the independent variables with the highest weighting according to the experts were: economic interests, stereotypes, international influence and moral values, in that order
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Ye, Fei, Lixu Li, Zhiqiang Wang, and Yina Li. "An Asymmetric Nash Bargaining Model for Carbon Emission Quota Allocation among Industries: Evidence from Guangdong Province, China." Sustainability 10, no. 11 (2018): 4210. http://dx.doi.org/10.3390/su10114210.
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As the most cost-effective mechanism, an emissions trading scheme (ETS) plays an important role in mitigating global warming, whilst any such scheme requires the initial allocation of quotas. Current allocation methods, however, pay little attention to the interests of abatement entities, which will hinder the long-term sustainable goals. To mobilize the enthusiasm of different abatement entities, this study proposes a multiplayer asymmetric Nash bargaining model, ensuring that all entities can obtain more quotas after negotiation. To demonstrate the advantages of the proposed method, this study selects Guangdong where the principal allocation method is the grandfathering approach as an illustrative case and develops three preference cases including balanced weighting, economic-oriented weighting, and emission-oriented weighting. The empirical results show that the proposed method not only reflects the “polluter pays principle”, but also helps to save emission reduction costs. In further analysis, this study considers both free allocation ratio and ETS coverage, providing inspirations for policy makers to develop new ETS regulations. In general, the proposed method not only assists policy makers of Guangdong in improving the current ETS deficiencies but also can be generalized into other regions.
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Ginting, Ercelyna Tifany Br, and Irfan Pratama. "Sistem Rekomendasi Jurusan SMK Menggunakan Metode Content-Based Filtering Di Kabupaten Sleman." Jurnal Sains dan Teknologi (JSIT) 3, no. 2 (2023): 291–300. http://dx.doi.org/10.47233/jsit.v3i2.954.
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Research background education is an important aspect for society. One level of further education is a vocational high school (SMK). There are many things that need to be considered in choosing a vocational high school, such as choosing a major based on interests, talents and abilities. In this study, the content-based filtering method was applied because it is suitable for use in cases and situations where there are more users than the system, thus allowing the system to determine the interests, talents and abilities of users based on their profile. Search for SMK majors by users (students) is more accurate, because the application can make recommendations about content that will become the core of the system when making recommendations. The purpose of this research is to build a recommendation system for junior high school students by developing a content-based filtering system that can provide major recommendations based on the students' interests, talents and abilities. It can be concluded that the department recommendation system using the weighting technique and the calculation of the Euclidean distance can provide recommendations to users according to the interests, talents and abilities of the users themselves.
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Prabowo, Harvey Guharelvino, and Theresiawati Theresiawati. "PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING UNTUK MEMILIH JURUSAN PADA KAMPUS NEGERI." Jurnal Ilmiah Matrik 25, no. 2 (2023): 143–56. http://dx.doi.org/10.33557/jurnalmatrik.v25i2.2390.
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Students in grade twelfth high school must be able to determine their individual student interests to be able to continue further studies at university. But there are still many students who have not been able to determine their specialization even though they have sufficient understanding and knowledge of learning during high school. This study aims to apply simple additive weighting and calculation of the tightness capacity of each specialization major on a public campus in making a Decision Support System in determining student majors in the Angkasa High School environment. By paying attention to the weight and each criterion for the specialization major, then calculate with the tight capacity of the specialization department on each state campus so that the results issued by the calculation have provided decision support for students to determine specialization and state campuses more precisely. The decision support system uses the Kotlin programming language and Android-based NoSQL MongoDB database. The results of the manual calculation of the Simple Additive Weighting and Opportunity method with a decision support system reach 99% according.
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Hu, Wenting, Yin Sheng, and Xianjun Zhu. "A Semantic Image Retrieval Method Based on Interest Selection." Wireless Communications and Mobile Computing 2022 (February 27, 2022): 1–6. http://dx.doi.org/10.1155/2022/3029866.
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There is a semantic gap between people’s understanding of images and the underlying visual features of images, which makes it difficult for image retrieval results to meet the needs of individual interests. To overcome the semantic gap in image retrieval, this paper proposes a semantic image retrieval method based on interest selection. This method analyses the interest points of individual selections and gives the weight of the interest selection in different regions of an image. By extracting the underlying visual features of different regions, this paper constructs two feature vector methods after users’ interest point weighting. The two methods are called interest weighted summation and interest weighting. Finally, this paper compares the accuracy of different image classification methods using a support vector machine classification algorithm. The experimental results show that the target classification accuracy of the classification algorithm based on interest weighted summation is higher than that of the traditional and interest weighted methods. The classification algorithm based on interest weighted summation has the highest overall effect on target object classification in the four experimental scenarios. Therefore, the interest point selection method can effectively improve the overall satisfaction of image recommendation and can be used as a novel solution to overcome the semantic gap.
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Setiawansyah, Setiawansyah, Sitna Hajar Hadad, Ahmad Ari Aldino, Pritasari Palupiningsih, Gibtha Fitri Laxmi, and Dyah Ayu Megawaty. "Employing PIPRECIA-S weighting with MABAC: a strategy for identifying organizational leadership elections." Bulletin of Electrical Engineering and Informatics 13, no. 6 (2024): 4273–84. http://dx.doi.org/10.11591/eei.v13i6.7713.
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The election of organizational leaders, especially in organizations whose members have diverse backgrounds and interests, can cause various problems. Problems in the selection of school organization leaders include the absence of an objective selection of organizational leadership candidates because they are selected based on comparisons between candidates without considering the criteria in the selection of organizational leadership candidates. Research related to the multi-attributive border approximation area comparison (MABAC) and simplified pivot pairwise relative criteria importance assessment (PIPRECIA-S) methods has never been conducted so far, so it is a reference in conducting this research using the MABAC and PIPRECIA-S methods. This study aims to select the head of the school organization using the MABAC method and PIPRECIA-S weighting can increase the objectivity of the criteria assessment results by relying on calculations from the PIPRECIA-S weighting method. Based on the selection results using the MABAC method and PIPRECIA-S weighting, candidate 1 was recommended as the leader of the school organization because it achieved rank 1 with a total score of 0.293. The contribution of this research is to help in the selection of the head of the organization using the PIPRECIA-S and MABAC methods as a decision-making solution.
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Ricko Gurning, Riska Ananda, Febri Sinabutar, Desi Damanik, and Renny Karo Karo. "Application of Simple Additive Weighting Method in Student Decision Making in Choosing Study Programs." Jurnal Komputer Indonesia (Ju-Komi) 3, no. 01 (2024): 28–34. https://doi.org/10.58471/ju-komi.v3i01.594.
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This study discusses the application of the Simple Additive Weighting (SAW) method in helping students of Santo Thomas Catholic University in choosing the right study program. Choosing the right study program is very important, because it can affect students' careers and future lives. Through the SAW method, this study identifies important criteria such as career prospects, personal interests, and academic achievements, each of which is weighted according to its level of importance. Each study program is evaluated and scored based on these criteria, and the results are summed up to obtain a final score. This study found that SAW is effective in providing objective and structured study program recommendations, but determining the right weighting is very important for the accuracy of the results. In addition, evaluating student satisfaction with the chosen study program also contributes to increasing the relevance of the recommendations given. Thus, the SAW method can be a useful tool to improve student satisfaction and learning outcomes in higher education.
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Pan, Xing, and Meixiu Lu. "Research on Constructing Personalized Learner Profiles Based on Multi-Feature Fusion." Journal of Electronic Research and Application 9, no. 2 (2025): 274–84. https://doi.org/10.26689/jera.v9i2.10085.
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This study proposes a learner profile framework based on multi-feature fusion, aiming to enhance the precision of personalized learning recommendations by integrating learners’ static attributes (e.g., demographic data and historical academic performance) with dynamic behavioral patterns (e.g., real-time interactions and evolving interests over time). The research employs Term Frequency-Inverse Document Frequency (TF-IDF) for semantic feature extraction, integrates the Analytic Hierarchy Process (AHP) for feature weighting, and introduces a time decay function inspired by Newton’s law of cooling to dynamically model changes in learners’ interests. Empirical results demonstrate that this framework effectively captures the dynamic evolution of learners’ behaviors and provides context-aware learning resource recommendations. The study introduces a novel paradigm for learner modeling in educational technology, combining methodological innovation with a scalable technical architecture, thereby laying a foundation for the development of adaptive learning systems.
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López-Hernández, Rosa Eva, and Estrella Vázquez-Reyes. "Gestionar el talento de los actores universitarios mediante el liderazgo e interés." HUMAN REVIEW. International Humanities Review / Revista Internacional De Humanidades 13, no. 4 (2022): 1–10. https://doi.org/10.37819/revhuman.v13i4.1145.
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Talent management in higher education is key to quality education. This study aimed to understand and describe the categories that support the potentialization of the talent of researchers and to know the motivating interests of leadership development. It was conducted under the qualitative approach. We found that talent management is hindered by inefficient practices in recruitment, personnel selection, as well as the weighting of monetary incentives in researchers for their performance. It is recommended to address succession-planning studies in educational organizations to ensure the reserves of key talent.
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Sihombing, Daniel Oktodeli. "Sistem Pendukung Keputusan Pemilihan Konsentrasi Mata Kuliah dengan Metode MOORA." Journal of Computer System and Informatics (JoSYC) 5, no. 4 (2024): 942–56. https://doi.org/10.47065/josyc.v5i4.5780.
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This study was conducted to provide decision recommendations in choosing a concentration of courses for students based on their academic performance. The problem in this research is how students can choose a course concentration for themselves based on the academic performance they have previously achieved. The selection of this concentration is calculated based on the prerequisite courses that have been previously determined for each concentration of courses using the MOORA (Multi-Objective Optimization on the Basis Of Ratio Analysis) method. Each prerequisite course is a criterion that is given a weighting using the Rank Sum weighting technique. The alternatives used in this study were 32 alternatives, all of which were students who had completed all prerequisite courses and would choose a concentration of courses in the coming semester. The results of the implementation of the MOORA method in a decision support system with Rank Sum weighting for each criterion obtained results of 18 students recommended in the Emerging Technology concentration and 14 students recommended in the Software Engineering concentration according to their academic performance. The results of the comparison between decision recommendations with the MOORA method and the questionnaire of concentration choices according to student interests showed a level of conformity of 59.38%. Thus, the decision support system with the MOORA method can provide recommendations for choosing a concentration of courses based on previously achieved academic performance.
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Liu, Peng, Caiyun Liu, and Xiaoling Wei. "Optimal Allocation of Shared Manufacturing Resources Based on Bilevel Programming." Discrete Dynamics in Nature and Society 2021 (December 23, 2021): 1–15. http://dx.doi.org/10.1155/2021/6474241.
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In the shared manufacturing environment, on the basis of in-depth analysis of the shared manufacturing process and the allocation process of manufacturing resources, a bilevel programming model for the optimal allocation of manufacturing resources considering the benefits of the shared manufacturing platform and the rights of consumers is established. In the bilevel programming model, the flexible indicators representing the interests of the platform are the upper-level optimization target of the model and the Quality of Service (QoS) indicators representing the interests of consumers are the lower-level optimization goal. The weights of the upper indicators are determined by Analytic Hierarchy Process (AHP) and Improved Order Relation Analysis (Improved G1) combination weighting method and the bilevel programming model is solved by the Improved Fast Elitist Non-Dominated Sorting Genetic Algorithm (Improved NSGA-II). Finally, the effectiveness of the model is validated by a numerical example.
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Naomi Dada Kodi, Gergorius Kopong Pati, and Agustina P. Setiawi. "Klasifikasi Data Mining Prediksi Penjualan dengan Metode Appriori." Jurnal Penelitian Teknologi Informasi dan Sains 2, no. 3 (2024): 186–93. http://dx.doi.org/10.54066/jptis.v2i3.2405.
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Abstract Databases stored on storage media are rarely used by most of their users and even within a certain period of time the data is deleted because it is considered trash and only fills up the storage media. This assumption is not entirely true, because in fact a large database can provide the information needed for various interests, both for business interests in making decisions and for science and research. The development of information and communication technology in this era often called the millennial, information and communication technology is also increasingly advanced and developing and cannot be avoided. Where the development and progress of information and communication technology is growing very rapidly, such as the need for data processing which is increasing every day and if left alone, the data will be useless. By using the Text Mining technique, the classification method, a sentiment will be known to be positive, neutral or negative. One of the algorithms widely used in sentiment analysis is the Naïve Bayes classification method. This study uses the Naïve Bayes Classifier (NBC) method with tf-idf weighting accompanied by the addition of an emotion icon conversion feature (emoticon) to determine the existing sentiment class from tweets about Agu Ate Store. The results of the study show that the Naïve Bayes method without additional features is able to classify sentiment with an accuracy value of 96.44%, while if the tf-idf weighting feature is added along with the emotion icon conversion, the accuracy value can be increased to 98%.
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Ryngaert, Cedric. "Extraterritorial Enforcement Jurisdiction in Cyberspace: Normative Shifts." German Law Journal 24, no. 3 (2023): 537–50. http://dx.doi.org/10.1017/glj.2023.24.
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AbstractThe most eye-catching effect of digitalization on the law of enforcement jurisdiction is the fading into irrelevance of territoriality. Insofar as the “physical” location of digital data—on a server—may be entirely fortuitous and may in fact not be known by the territorial state, it appears unreasonable for that state to invoke its territorial sovereignty as a shield against another state’s claims over such data. To prevent a jurisdictional free-for-all, however, it is key that the exercise of extraterritorial enforcement jurisdiction in cyberspace becomes subject to a stringent test weighting all relevant connections and interests in concrete cases. Introducing such a weighting test means that extraterritorial enforcement jurisdiction is no longer governed by binary rules (allowed and not allowed), but becomes a matter of degree, requiring a granular, contextual assessment. It remains the case that such a flexible attitude towards extraterritorial enforcement jurisdiction is not universally shared, and that relevant state practice and expert opinion in favor of the “un-territoriality of data” has a particular Western slant.
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Farhana, Farhana. "Punishment of Criminals of Trafficking in Persons: Legal Perspective on International Guidelines and Indonesian Practices." International Journal of Criminology and Sociology 10 (April 30, 2021): 675–79. http://dx.doi.org/10.6000/1929-4409.2021.10.79.
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The background of this study is that penalization is not only oriented towards the perpetrators of crimes of trafficking in persons but also oriented to the interests of victims and the community so that criminal justice aims to integrally protect various interests. The study aims to identify the punishment of criminals of trafficking in persons based on the interests of victims in Indonesian court practices as outlined by some regulations and the international community as outlined by the United Nations Office on Drugs and Crime (UNODC) and United Nations Convention Against Transnational Organized Crime (UNTOC). Considering that the study is a transnational crime, the point of view used in this study is clear to analyse the perspective of the national community and the international community. Hence, the standard measuring instrument used the perspective of international justice and its practical implementation by the Indonesian court. By using the library research method, the results showed that trafficking crimes are considered serious crimes by the international community. In regulating human trafficking, every country has laws regarding trafficking crimes by the applicable legal system. The theoretical contribution of this study is that each human trafficking crime case has different characteristics due to the condition of the perpetrator, the victim, the situation when the trafficking crime was committed. Therefore, as a practical contribution, the Indonesian court considers these factors which can be considered as a weighting or a reduction in sentence. The problem is incriminating and mitigating factors that must be considered in imposing penalties against traffickers. The study offers originality in investigating the factors which are burdensome and mitigate in imposing crimes against traffickers. The findings underline the principle of criminalization as the basis for imposing penalties on perpetrators of trafficking in persons by taking into account the factors of weighting and mitigation of punishment, in which the proportional principle takes precedence in addition to the other principles.
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CUJ, JESÚS DURAN, CARLOS ROMEO RODRIGUEZ MAZARIEGO, LUIS ABRAHAM PAZ MEDINA, MARISOL GONZÁLEZ HERNÁNDEZ, and YAZMÍN ISOLDA ÁLVAREZ GARCÍA. "REPRODUCTIVE FREEDOM AGAINST PREIMPLANTATION GENETIC DIAGNOSIS FOR THERAPEUTIC PURPOSES OF THIRD PARTIES IN MEXICO." ULUSLARARASI SOSYOLOJİ VE EKONOMİ DERGİSİ 5, no. 1 (2022): 50–63. https://doi.org/10.5281/zenodo.7346842.
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This addresses as a topic of interest reproductive freedom against the assisted reproduction technique in its justification as preimplantation genetic diagnosis for therapeutic purposes to third parties, so it executes an analysis of the particular concepts that will be addressed in the discussion, in turn of the subjects involved and the legal precepts that serve as national and international antecedents in the subject of family planning law and How this right to freedom can be contrasted in a line of weighting to other human rights such as health, best interests of the child, identity, among others.
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Ahmad, Sulistiawati Rahayu, Salim M, and Salma PNua. "Implementasi Metode Simple Additive Weighting (SAW) dalam Pemilihan Sekolah Ramah Anak." Bulletin of Information Technology (BIT) 4, no. 2 (2023): 146–51. http://dx.doi.org/10.47065/bit.v4i2.618.
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Child-Friendly School is a program aimed at achieving safe, clean, healthy, caring, and environmentally conscious conditions that ensure the fulfillment of children's rights and protection from violence, discrimination, and other forms of mistreatment while they are in educational institutions. It also supports children's participation, particularly in planning, policies, learning, and supervision. One of the objectives of developing the Child-Friendly School Policy is to fulfill, guarantee, and protect children's rights, as well as to ensure that educational institutions can develop children's interests, talents, and abilities, and prepare them to be responsible for a tolerant, respectful, collaborative life for progress and a spirit of peace.
 The research aims to design a Web-based Decision Support System for Selecting Child-Friendly Schools in the Education Office of Gorontalo City using the Simple Additive Weighting (SAW) method. The research adopts the Waterfall method as the research approach and conducts Whitebox and Blackbox testing for the system. The research findings indicate that the system can facilitate schools applying for child-friendly school certification from the Education Office of Gorontalo City. It provides a transparent ranking output based on the assessment of predetermined criteria weights. The system can perform quick, accurate, and precise weighting calculations using the SAW decision support method, and it provides information on the suitability status based on the weight values derived from the matrix summation after the 'SAW method' button is processed
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Hulu, Damayanti, and R. Mahdalena Simanjorang. "Sistem Pendukung Keputusan Pemilihan Topik Skripsi Program Studi Teknik Informatika Menggunakan Simple Additive Weighting (SAW)." Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) 4, no. 1 (2021): 64–68. http://dx.doi.org/10.32672/jnkti.v4i1.2735.
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The Department of Informatics at STMIK Pelita Nusantara is one of the departments at private universities that focuses on the science of information technology. Thesis problems in this department must also be resolved immediately, one of which is a system that utilizes information technology. It is difficult for students to determine the choice of thesis topic to be prepared as a graduation requirement. There are 7 criteria used, namely: Academic Value, Historical Project, Research Activeness, Training, Interests, Value of Practice and Research Place. Research data obtained from STMIK Pelita Nusantara applied the SAW (Simple Additive Weighting) method using Visual Basic Net 2010 with Mysql Database. From the ranking it shows that the highest result is alternative A1 where in this example the thesis topic chosen is Expert System.
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Nzunda, Matembo. "New Company Law for Malawi." Journal of African Law 33, no. 1 (1989): 1–18. http://dx.doi.org/10.1017/s0021855300007944.
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Company law needs to be reformed so as to promote and maintain the protection of the interests of shareholders, creditors and the community. These are the three “social and economic needs to which a system of company law should respond”. These three purposes of company law are not mutually exclusive. However, the weighting of them depends on the space factor and time factor of law reform. Space factor refers to the differences in economic, social, political and other conditions and needs between one country and another at a given time. So, “Whereas in Britain one of the main purposes of company legislation is to protect the interests of shareholders, in a developing country like Malawi its main function should be to protect the interests of the national economy since most of the effective shareholders will in fact be non-resident in the country.” Time factor refers to the differences in economic, social, political and other conditions and needs of a country between one time and another. For example, the increasing internationalisation of the Malawian political economy, through branches and subsidiaries of multinational companies and joint-ventures, may demand that companies’ legislation in Malawi respond to the conditions and needs of such an economy. Of course, the two factors constantly act on each other.
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Zavgorodniaia, A. A. "Pragmatism of the Proportionality Method in Legal Argumentation in the Contact of Interests." Courier of Kutafin Moscow State Law University (MSAL)), no. 9 (December 17, 2022): 179–87. http://dx.doi.org/10.17803/2311-5998.2022.97.9.179-187.
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In jurisprudence (national and international), various relevant mechanisms and methods have been developed, in particular in matters of human rights, proportionality (proportionality) is used to determine the admissibility of restricting human rights. Today, the principle of proportionality answers a significant number of law enforcement questions about these restrictions, however, there is no single methodology for the mechanism for its implementation for various reasons, and the presence of different methods for applying proportionality leaves room for criticism. The article discusses a number of approaches to proportionality, including: an institutional and material approach, a value approach that recognizes the weighting of interests, an actual approach that allows you to visually assess the justification, in particular, of restrictions on rights from the standpoint of benefits and costs, a method for determining the proportionality of interests through categorization, based on that harmonization occurs by defining the boundaries of the rights through which they are implemented. A variety of approaches and methods suggests that today it is necessary to study these approaches to proportionality from the standpoint of the methodology of pragmatism in legal argumentation in the confrontation of interests. The study concludes that the proportionality test is the best tool for pragmatization, translating values as rather abstract phenomena into facts.
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Sophia, Aya. "Optimization Of The Simple Additive Weighting Method Using The Entropy Method In Tourist Recommendation Decision Support." Journal of Applied Intelligent System 8, no. 3 (2023): 413–24. http://dx.doi.org/10.33633/jais.v8i3.9407.
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Travel recommendations are ideas or suggestions of cool places to see while traveling. Depending on the interests and preferences of each visitor, these tourist attractions can be nature tourism, beach tourism, cultural tourism or other interesting places to visit. Tourism recommendations can be offered based on criteria including scenic beauty, street access, distance traveled, children's entertainment venues, ticket prices, menu variations, parking, places to relax, toilets, prayer rooms. Therefore, tourism recommendations are needed for tourists to determine the tourist destinations they want to visit. The SAW method is applied to decision making using many criteria, and to avoid subjectivity in determining the criteria weights, the Entropy method is used. The results of this study indicate that the ranking results from the optimization of the SAW method with the entropy method in supporting tourism recommendation decisions.
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B, Muslimin, and Sumardi Sumardi. "Perancangan aplikasi multi criteria decision making dalam penerimaan beasiswa kepada dosen studi lanjut STMIK Balikpapan menggunakan metode SAW." Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) 1, no. 1 (2018): 35–42. http://dx.doi.org/10.33173/jsikti.10.
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Interests and number of STMIK Balikpapan new student enrollments are increasing every year. The balance of the ratio of lecturers to students is one of the most important components in improving the quality and teaching and learning process of a university. Avoiding shortages in the number of lecturers can be realized by providing scholarship programs to alumni and teaching assistants. This study aims to build a multi criteria decision making application that can assist the Head of HRD in the process of receiving scholarships to advanced and effective study lecturers.
 The multi criteria decision making application developed in this study uses the SAW method. The implementation of the SAW method includes the process of evaluating the weighting of criteria, evaluating alternative weights, the matrix process, the results of decision making preferences, resulting in the weighting and ranking of each alternative candidate for the scholarship recipient.
 The results of the evaluation of multi-criteria application decision making in the study are expected to produce modeling with a high degree of accuracy. The results of the analysis carried out can provide alternative recommendations for prospective scholarship recipients to advanced study lecturers in STMIK Balikpapan.
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B, Muslimin, and Sumardi Sumardi. "Perancangan Aplikasi Multi Criteria Decision Making Dalam Penerimaan Beasiswa Kepada Dosen Studi Lanjut STMIK Balikpapan Menggunakan Metode SAW." Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) 2, no. 4 (2021): 31–40. http://dx.doi.org/10.33173/jsikti.86.
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Interests and number of STMIK Balikpapan new student enrollments are increasing every year. The balance of the ratio of lecturers to students is one of the most important components in improving the quality and teaching and learning process of a university. Avoiding shortages in the number of lecturers can be realized by providing scholarship programs to alumni and teaching assistants. This study aims to build a multi criteria decision making application that can assist the Head of HRD in the process of receiving scholarships to advanced and effective study lecturers. The multi criteria decision making application developed in this study uses the SAW method. The implementation of the SAW method includes the process of evaluating the weighting of criteria, evaluating alternative weights, the matrix process, the results of decision making preferences, resulting in the weighting and ranking of each alternative candidate for the scholarship recipient. The results of the evaluation of multi-criteria application decision making in the study are expected to produce modeling with a high degree of accuracy. The results of the analysis carried out can provide alternative recommendations for prospective scholarship recipients to advanced study lecturers in STMIK Balikpapan
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Nurahman, Nurahman, Minarni Minarni, Nindi Ernawati Nindi Ernawati, and Nadia Sari Nadia Sari. "Decision Support System for Selecting Exemplary Students with Simple Additive Weighting Method." Journal of Innovation Information Technology and Application (JINITA) 5, no. 1 (2023): 32–42. http://dx.doi.org/10.35970/jinita.v5i1.1755.
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The selection of exemplary students carried out by the school is expected to trigger the enthusiasm of students to be able to develop their interests, talents, and abilities in the academic and non-academic fields. However, decision-making has not been measured with data so a decision support system is needed. With the use of this method, it is hoped that it can make it easier and minimize the occurrence of errors in making decent decisions therefore this system is needed to be able to make good decisions. In this study, one of the decision support system methods that are often used was chosen, namely Simple Additive Weighting (SAW). The use of the SAW method is due to its uncomplicated calculations. Research conducted at this school in determining decisions is still done manually so it is less effective and efficient. Therefore, this decision support system must be able to calculate exemplary students to be more effective and efficient. This system displays the final results of the ranking of exemplary students using the SAW method. From the overall results of the research that has been carried out, the calculation results that got rank 1 were obtained, namely Kenzo Ecclesio Taha with a total score of 0.9025. From the results of the study, it can be concluded that the results meet the criteria, so this study can be considered in calculations to determine exemplary students in the future
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Erlina, Marni, and Okfalisa Okfalisa. "The Study Program Selection System: Integrated Analytical Hierarchy Process (AHP) and Technique For Others Preference by Similarity to Ideal Solution (TOPSIS) Approach." IT Journal Research and Development 8, no. 1 (2023): 32–47. http://dx.doi.org/10.25299/itjrd.2023.13562.
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The study program selection in several high schools or madrasah aliyah (MA) in Riau province is conducted manually. The initial survey found that the study program is commonly chosen by following the friend’s preference and parents’ option instead of their knowledge capability and desire. As a reflection, many students fail to adhere to the school subjects, obtain unsatisfactory results, and even change their study program. Therefore, this paper aims to assist students in altering the appropriate study program by considering students' capabilities, talents and interests by developing a multi-criteria decision support system (DSS). This DSS employs the integrated AHP approach for criteria weighting and TOPSIS for ranking alternatives. Herein, seventy students' data from grade ten MAN 2 Kuantan Singingi grows into this case study. The automation system analysis is executed through the web base DSS system using PHP programming language and MySQL database. As a result, AHP calculates the significance values of the criterion whereby the student interest score values at 0.34, academic report, potential academic test, physiological test, Pre-Test/Post-Test, interview scores, and teacher recommendation scores at 0.21, 0.14, 0.11, 0.09, 0.06, and 0.05, respectively. Subsequently, TOPSIS ranks the students according to the assessment and criteria weighting based on the standard requirement of study program in Mathematics and Science program (MIPA) and Social Science program (IIS). The DSS study program selection application has been tested using the Blackbox and User Acceptance Test (UAT) methods. Both of these approaches indicate that this application is functionally approved and capable of aiding the users in the optimal study program selection, with 81.9% agreement. In a nutshell, this DSS has successfully recommended the optimum study program per the students’ talents, interests, and capabilities and provided the direction development of students’ expertise area for the next level of education.
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Hellyana, Corie Mei, and Warjiyono Warjiyono. "Perbandingan Metode Simple Additive Weighting (SAW) dan ELECTRE Dalam Pemilihan Tempat Kos di Area Kampus Purwokerto." Indonesian Journal on Software Engineering (IJSE) 4, no. 2 (2019): 68–73. http://dx.doi.org/10.31294/ijse.v4i2.5985.
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Abstract - Boarding house is the second place to live after living with parents. Boarding houses are usually chosen by someone who lives far from parents with the interests of studying or working. But in general boarding houses are identical to someone who is in school or college. With the many universities or educational institutions in the city of Purwokerto, many people rent their houses as boarding houses. But sometimes many boarding house residents move around for various reasons, such as rising boarding prices, far from the place of study, far from public facilities and so on. Therefore, it is necessary to choose a boarding house to reduce boarding house occupants who move. In choosing this boarding house, ELECTRE and SAW methods are used as tools to get a picture of the best boarding houses. With this method the weighting is done to get the percentage of matches for the recommended boarding house according to the criteria. Keywords: boarding, Electre, SAW, criteria
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Weber, Jessica, and Johann Köppel. "Can MCDA Serve Ex-Post to Indicate ‘Winners and Losers’ in Sustainability Dilemmas? A Case Study of Marine Spatial Planning in Germany." Energies 15, no. 20 (2022): 7654. http://dx.doi.org/10.3390/en15207654.
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Multi-criteria decision analyses (MCDAs) have been developed to support and evaluate decision-making on multi-layered problems. The benefit lies in creating transparency, among other benefits, especially in tackling divergent stakeholder interests. Within the energy transition, area shortage can lead to sustainability trade-offs, calling for the reconciliation of planning processes and satisfactory compromises. While ex ante MCDAs complement planning, the ex post consideration of processes has been less widely studied. Using a case study of offshore wind energy (OWP) within German marine spatial planning, we investigated the shifting weights of sustainability criteria and stakeholder interests. A multi-criteria approach (Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE)) addressed how decision-making can be iteratively traced, and the winners and losers indicated in sustainability dilemmas, such as between climate and biodiversity implications. Findings illustrate that stakeholders are divided in the green-on-green dilemma. The ‘winners’ embrace the branches of energy and climate protection. It remains a question though for ‘losers’ how weighting decisions of sustainability goals can be detrimental, such as ‘good environmental status’, and what kind of balancing occurs. How compromises are found, such as through transparency and solid justification, is crucial in satisfactorily solving trade-offs for public interests. PROMETHEE makes revealing stakeholder constellations within policy dynamics feasible, though assuming there is the will to work multidisciplinarily within future planning decisions.
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Wei, Meifang, Youyue Deng, Min Long, Yahui Wang, and Yong Li. "Transaction Model Based on Stackelberg Game Method for Balancing Supply and Demand Sides of Multi-Energy Microgrid." Energies 15, no. 4 (2022): 1362. http://dx.doi.org/10.3390/en15041362.
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To improve the coordination and complementarity of multiple energy sources, balancing the interests of different participants in a multi-energy system is of great importance. However, traditional centralized optimization can hardly reflect the game relationship between supply side and demand sides. A trading model based on the Stackelberg game model is proposed in this paper to balance the interests of the supply side and demand side and reduce the carbon emissions. First of all, the process of trading between the supply side and demand side based on smart contracts is described. A contractual consensus is obtained through an internal game, and the transaction is completed automatically. Secondly, a bilevel optimization model is established to coordinate the benefits of both parties based on the Stackelberg game model. The energy operator acts as a leader, and considers the two objectives, i.e., maximizing net income and minimizing carbon emissions, and uses the linear weighting method to convert the dual objectives into single objective. Users act as followers and aim to increase the comprehensive benefits, including energy cost and comfort. Then, Karush–Kuhn–Tucker optimality condition is used to transform the bilevel optimization model into an equivalent single-level model. Finally, simulation results show that the proposed method can coordinate the economic interests of both sides of supply and demand and effectively reduce the carbon emissions of the energy operator.
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Firdausi, Faiz, Masud Hermansyah, and Abdul Wahid. "Design of Web-Based Model Decision Support System for Selecting Exemplary Students Using Simple Additive Weighting (SAW) Method at SMAS Sultan Agung Puger." PROCEEDING INTERNATIONAL CONFERENCE ON ECONOMICS, BUSINESS AND INFORMATION TECHNOLOGY (ICEBIT) 4 (July 15, 2023): 521–27. http://dx.doi.org/10.31967/prmandala.v4i0.791.
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The educational strategy adopted so far is general in nature, providing standard or average treatment to all students, so that it pays little attention to differences between students in their skills, interests and talents. With this kind of strategy, excellence will appear randomly and really depends on students' learning motivation and learning environment. Therefore, it is necessary to develop the advantages possessed by each student so that the potential possessed can be converted into superior achievements. In order to motivate students to continue to excel, Sultan Agung Private High School conducts activities to develop the potential of students through selecting exemplary students. A decision support system (SPK) to facilitate the selection of model students and utilize Simple Additive Weighting (SAW) as a decision-making method. The Simple Additive Weighting (SAW) method is a method that can determine the weight of the value of each attribute, then can determine the ranking so that the best alternative can be selected from several alternatives. The criteria used to evaluate the selection of exemplary students at the Sultan Agung Private High School are the average grades of report cards, attitudes/morals, and absenteeism. These calculations will be implemented in the PHP programming language and MySql database.
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., Satria Satria, Rinanti ., Kikim Mukiman, and Zaenal Mutaqin Subekti. "Penerapan Metode Simple Additive Weighting (SAW) Dalam Pemilihan Peminatan Jurusan Siswa di SMK Mandalahayu." Jurnal ICT : Information Communication & Technology 20, no. 2 (2021): 239–45. http://dx.doi.org/10.36054/jict-ikmi.v20i2.374.
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SMK Mandalahayu Bekasi is one of the schools in the city of Bekasi which routinely carries out the selection of majors for its students every year. The major is intended so that later students can complete school according to their interests and abilities before continuing to a higher level. The current majors selection process has drawbacks, including it takes a long time and the results obtained are less accurate because there could be many mistakes due to the unavailability of a special application to support these calculations. In addition, the element of subjectivity is quite high because the criteria used are still few and less relevant. To overcome this problem, a decision support system is made to determine the selection of majors. In this study using the Simple Additive Weighting (SAW) method. The criteria used are Mathematics SKHUN scores, Indonesian SKHUN scores, English SKHUN scores, Written Test scores and Interview Test scores. The final result of this study found that the decision support system with the SAW method was able to overcome problems in the selection process of majors at SMK Mandalahayu Bekasi. From taking a sample of several students who have been calculated using the SAW method, the correct major is AP because the value is 79, RPL because the score is between 90-100 and AK, because the score is between 80-89
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Nowak-Far, Artur. "The European Union, its Economic and Monetary Union, and the (Apparent) Perception of Crisis Reflected in Immediate Regulatory Actions." Polish Review of International and European Law 9, no. 2 (2020): 147–68. http://dx.doi.org/10.21697/priel.2020.9.2.06.
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While neither its institutional, nor legal arrangements fundamentally contributed to the emergence of the Eurozone crisis in the late 10’s of the 21st Century, the crisis exposed significant weaknesses of the EU economic governance, especially its inability to achieve a sustainable level of budgetary discipline. The crisis in particular highlighted the existing divisions of the EU Member States into different integration groups having divergent interests. Notably, it sharpened the division between the Eurozone states and non-Eurozone ones, as well as between the creditor-countries and debtor-countries. The EMU reform agenda adopted after 2008 gave more weighting to the interests of the former states. The emerging post-2008 economic governance-reform arrangements also gave more weight to the ECOFIN Council, at an expense of the European Commission. In the resulting institutional setting, the main aim of the EMU reform agenda was to assure the stability of the Eurozone and to reinforce its resistance to economic shocks. In this context, however, benefits arising from the reformed EMU are unevenly distributed, as they are more likely to avail the Eurozone countries than non- Eurozone countries, and more the creditor countries than the debtor ones.
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Du, Jinghan, Minghua Hu, Jianan Yin, and Weining Zhang. "Multi-Objective Gate Allocation Problem Based on Multi-Commodity Network Flow Model." Applied Sciences 12, no. 19 (2022): 9849. http://dx.doi.org/10.3390/app12199849.
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Gate allocation has always been a fundamental but critical issue in the daily operation of airports, which is related to service quality and schedule efficiency. In order to obtain reasonable and efficient gate allocation results, in this paper, a multi-commodity network flow model is proposed to describe the gate allocation process in flight flow, based on which a multi-objective optimization model is constructed. It not only comprehensively considers the flight information of aircraft arrivals and departures, but also integrates the broader interests of passengers, airlines, and airports. To solve it, a linear weighting technique is applied. In addition, K-means cluster analysis is used to explore different weight combinations, and on this basis, the idle time of the gate is introduced as a performance evaluation index to guide the selection of the final weight. By analyzing the optimization results of actual operation data, the proposed model significantly balances the interests of multiple parties and the number of flights at each gate and has a relatively high gate-utilization rate. It can provide rich decision support and a reasonable allocation scheme for airport management to a certain extent.
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Randa Ersada, Eka Ade Putri, Febly Fauziah, Arista Widya Ningsih, and Safrizal Safrizal. "Sistem Pendukung Keputusan dalam Penentuan Jurusan Berdasarkan Minat Siswa SMK Harapan Stabat Menggunakan Metode SAW." JURNAL PENELITIAN SISTEM INFORMASI (JPSI) 3, no. 1 (2025): 67–85. https://doi.org/10.54066/jpsi.v3i1.2983.
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For prospective students, SMK Harapan Stabat offers five main subjects with a specialization system that does not require exams. The number of students majoring in office administration has increased, and majoring procedures have shifted from conventional assessments to skills-based assessments. The current method, however, is challenging, especially for the Assistant Curriculum Director because it relies on exam results reports. To solve this problem, this research creates a web-based application that uses the simple additional reduction (SAW) method. This application is intended to help school principals determine student majors more efficiently. The implementation results show that this application was well received by the students of SMK Harapan Stabat and can help them make decisions about their major. Currently, determining majors at SMK Harapan Stabat is not ideal because prospective students tend to choose majors according to their own wishes. In addition, schools only look at test scores without considering students' interests and talents as well as other factors that influence acceptance in certain majors. Collecting data on students' aptitudes, interests, and test scores is critical to improving this process. Therefore, to carry out more accurate calculations, the Simple Additive Weighting (SAW) method is needed. Schools can use this decision support system to make better decisions about the majors their students will take. Therefore, the choice of major is expected to be more appropriate to students' abilities and interests to support their future success.
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Mosca, Chiara. "Should Shareholders Be Rewarded for Loyalty? European Experiments on the Wedge Between Tenured Voting and Takeover Law." Michigan Business & Entrepreneurial Law Review, no. 8.2 (2019): 245. http://dx.doi.org/10.36639/mbelr.8.2.should.
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Corporate law reveals its democratic background when it comes to the general meetings of shareholders, finding, on both sides of the Atlantic, its most tangible expression in the “one share, one vote” principle. While, in the political landscape, the “one person, one vote” standard is absolute dogma and weighting votes according to people’s preferences and interests has never proved feasible, in the corporate scenario the one share, one vote principle is constantly challenged by the incentives of companies and their shareholders to shape corporate rights according to specific needs. In this respect, some legislators (specifically in France and Italy) have provided mechanisms that allow more loyal shareholders to increase their voting power. Tenured voting (or time-phased voting rights) should be analyzed in light of the modern corporate governance debate, which calls for a stronger role for long-term investors. However, the other side of the coin should be considered: the increase in voting rights broadens the range of control-enhancing mechanisms, although specific sunset clauses (whether provided for by law or voluntarily opted in by companies) may restore the one share, one vote rule. The analysis suggests that the mechanism based on tenured voting is more transparent and potentially less stable than other common control-enhancing mechanisms and deserves to be considered in the debate. At the EU level, the possibility left to the Member States of weighting shareholders’ voting power according to their long-term interests, leads to legislative fragmentation across Europe. Specifically, in Italy, the adoption of tenured voting coupled with a tradition of ownership concentration sharply empowers controlling shareholders. At the same time, European takeover regulation plays an exogenous role in indirectly selecting the companies that adopt time-phased voting rights. The final result is completely mistrusted, as tenured voting rights disappoint their expectations and are rarely used to meet a true need of long termism. The paper describes the paradox that emerges when tenured voting rights interact with the core principles of the EU financial market law system, and it offers various ways to alleviate this difficult coexistence.
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Ouabo, Romaric Emmanuel, Abimbola Y. Sangodoyin, and Mary B. Ogundiran. "Assessment of Ordinary Kriging and Inverse Distance Weighting Methods for Modeling Chromium and Cadmium Soil Pollution in E-Waste Sites in Douala, Cameroon." Journal of Health and Pollution 10, no. 26 (2020): 200605. http://dx.doi.org/10.5696/2156-9614-10.26.200605.
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Background. Several studies have demonstrated that chromium (Cr) and cadmium (Cd) have adverse impacts on the environment and human health. These elements are present in electronic waste (e-waste) recycling sites. Several interpolation methods have been used to evaluate geographical impacts on humans and the environment. Objectives. The aim of the present paper is to compare the accuracy of inverse distance weighting (IDW) and ordinary kriging (OK) in topsoil analysis of e-waste recycling sites in Douala, Cameroon. Methods. Selecting the proper spatial interpolation method is crucial for carrying out surface analysis. Ordinary kriging and IDW are interpolation methods used for spatial analysis and surface mapping. Two sets of samples were used and compared. The performances of interpolation methods were evaluated and compared using cross-validation. Results. The results showed that the OK method performed better than IDW prediction for the spatial distribution of Cr, but the two interpolation methods had the same result for Cd (in the first set of samples). Results from Kolmogorov-Smirnov and Shapiro-Wilk tests showed that the data were normally distributed in the study area. The p value (0.302 and 0.773) was greater than 0.05 for Cr and for Cd (0.267 and 0.712). In the second set of samples, the OK method results (for Cd and Cr) were greatly diminished and the concentrations dropped, looking more like an average on the maps. However, the IDW interpolation gave a better representation of the concentration of Cd and Cr on the maps of the study area. For the second set of samples, OK and IDW for Cd and Cr had more similar results, especially in terms of root mean square error (RMSE). Conclusions. Many parameters were better identified from the RMSE statistic obtained from cross-validation after exhaustive testing. Inverse distance weighting appeared more adequate in limited urban areas. Competing Interests. The authors declare no competing financial interests
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Tamaela, Stevanny, Yopi Andry Lesnussa, Venn Y.I. Ilwaru, and Abdul Malik Balami. "Analysis of Support Vector Machine (SVM) Method and Simple Additive Weighting (SAW) Method in Making Decisions to Choose Specialization." Jurnal Matematika MANTIK 6, no. 2 (2020): 104–13. http://dx.doi.org/10.15642/mantik.2020.6.2.104-113.
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The Specialization of students is a learning based on the interests of students according to learning opportunities that exist in educational units. Providing education in high school education units based on the 2013 curriculum there is a program for determining specialization for high school students held in class X. Specialization in the 2013 curriculum in high schools is the specialization group for Natural Sciences and Social Sciences. This study uses the Support Vector Machine (SVM) method and the Simple Additive Weighting (SAW) method which aims to compare the accuracy of each method in Decision Making (SPK) specialization program in the Natural Science and Social Sciences at SMA Negeri 1 Ambon. From the research results, the results of the specialization selection from the SAW method differ from the real data, while the results of the SVM method show the same results as the selection of real specialization in SMA Negeri 1 Ambon
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Н.Ю., Борзых. "Алгоритмизация выбора стратегии проектирования на основе построения компромиссных решений". Сибирский пожарно-спасательный вестник, № 4(31) (29 листопада 2023): 85–90. http://dx.doi.org/10.34987/vestnik.sibpsa.2023.45.81.009.
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В статье предложен алгоритм принятия оптимального решения по проектированию корпоративной информационной системы (КИС) с учетом интересов всех заинтересованных лиц. Алгоритм базируется на методах многокритериального анализа и включает следующие этапы: определение лиц, принимающих решения, выделение их ключевых ролей, назначение весовых коэффициентов ролям, формирование перечня критериев проектирования КИС, построение матрицы "Критерии-ЛПР", расчет интегральных показателей по критериям, принятие решения на основе полученных весов критериев. Предлагаемый подход позволяет выбрать проект КИС, максимально удовлетворяющий интересам всех подразделений компании и обеспечивающий наибольший экономический эффект. The article proposes an algorithm for making an optimal decision on the design of a corporate information system (CIS), taking into account the interests of all stakeholders. The algorithm based on multi-criteria analysis methods and includes the following stages: identifying decision makers, identifying their key roles, assigning weighting coefficients to roles, generating a list of CIS design criteria, constructing a “Criteria-Decision maker” matrix, calculating integral indicators based on criteria, making decisions on based on the obtained criterion weights. The proposed approach allows you to select a CIS project that best suits the interests of all divisions of the company and provides the greatest economic effect. Keywords: corporate information system, multicriteria optimization, decision maker, matrix, ranking of criteria, design criteria.
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مرحبا, إسماعيل غازي. "النوازل الطبية التي يظهر فيها أثر الترجيح بين المصالح = The New Medical Issues Which Appearing Effect of the Weighting of Interests". Journal of Islamic Sciences 10, № 4 (2017): 2149–220. http://dx.doi.org/10.12816/0048877.
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