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Relevant bibliographies by topics / Metode Simple Additive Weighting (SAW)

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Academic literature on the topic 'Metode Simple Additive Weighting (SAW)'

Author: Grafiati

Published: 4 June 2025

Last updated: 14 July 2025

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Journal articles on the topic "Metode Simple Additive Weighting (SAW)"

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Mulyadin, Iin, and Dedy Satrio Winarso. "Sistem Pendukung Keputusan Pemilihan Smartphone Menggunakan Metode Simple Additive Weighting." CAHAYAtech 7, no. 2 (2019): 88. http://dx.doi.org/10.47047/ct.v7i2.13.

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Sistem yang dibuat pada penelitian ini adalah sistem pendukung keputusan pemilihan smartphone, dan menggunakan metode Simple Addditive Weighting (SAW) sebagai metode pengembangan. Metode ini metode yang paling tepat, dan dapat mengolah data kriteria yang mempunyai nilai yang berbeda. Hal ini lah yang membuat metode Simple Additive Weighting (SAW) ini sangat tepat digunakan. Sistem pendukung keputusan pemilihan smartphone menggunakan metode Simple Additive Weighting (SAW) ini dapat membantu calon penguna yang tidak mengetahui smartphone yang tepat, cocok, dan sesuai dengan kebutuhan berdasarkan

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Setiaji, Pratomo. "Sistem Pendukung Keputusan Dengan Metode Simple Additive Weighting." Simetris : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer 1, no. 1 (2013): 59. http://dx.doi.org/10.24176/simet.v1i1.117.

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Abstrak SPK sebagai sebuah sistem berbasis komputer yang membantu dalam proses pengambilan keputusan. SPK sebagai sistem informasi berbasis komputer yang adaptif, interaktif, fleksibel, yang secara khusus dikembangkan untuk mendukung solusi dari pemasalahan manajemen yang tidak terstruktur untuk meningkatkan kualitas pengambilan keputusan. Metode SAW sering juga dikenal istilah metode penjumlahan terbobot. Konsep dasar metode SAW adalah mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif pada semua atribut. Metode SAW membutuhkan proses normalisasi matriks keputusan (X) ke

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Syafiatun ihsani luthfiyah and Rina Candra Noor Santi. "SISTEM PENDUKUNG KEPUTUSAN (SPK) PENENTUAN ALGORITMA / METODE UNTUK PENELITIAN DENGAN METODE SIMPLE ADDITIVE WEIGHTING(SAW)." Jurnal Informatika dan Rekayasa Elektronik 5, no. 2 (2022): 173–80. http://dx.doi.org/10.36595/jire.v5i2.678.

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Tugas akhir adalah sebuah kewajiban untuk semua mahasiswa agar dapat menyelesaikan sebuah studi, di setiap tugas akhir harus memiliki judul dengan tema tertentu. Penelitian ini bertujuan untuk menentukan sistem pendukung keputusan (SPK) penentuan algoritma/metode dengan menggunakan metode simple additive weighting(SAW) . Metode simple Weighting (SAW) digunakan untuk pembobotan kriteria dan juga perangkingan . Hasil penelitian ini menghasilkan sebuah sistem pendukung keputusan (SPK) untuk menentukan metode/algoritma yang tepat untuk sebuah judul penelitian dengan menggunakan metode Simple Addit

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Ivan Maulana, Herlambang, Abdi Pandu Kusuma, and Filda Febrinita. "ANALISIS PERBANDINGAN METODE SAW DENGAN WP DALAM MENDUKUNG KEPUTUSAN CALON KARYAWAN HYFRESH BLITAR." JATI (Jurnal Mahasiswa Teknik Informatika) 6, no. 2 (2022): 920–25. http://dx.doi.org/10.36040/jati.v6i2.5788.

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Pada penelitian ini memiliki tujuan untuk membandingkan dua metode sistem pendukung keputusan yaitu metode Simple Additive Weighting (SAW) dan Weighted product (WP) pada rekrutmen calon pegawai Hyfresh Blitar Square, dan mengetahui hasil perbandingan pada penerapan sistem rekrutmen pegawai Hyfresh Blitar Square menggunakan metode sistem pendukung keputusan Simple Additive Weighting (SAW) & Weigted Product (WP). Metode penelitian yang digunakan yaitu metode kualitatif, dengan teknik pengumpulan data meliputi observasi, wawancra, Dan juga tahapan penelitian meliputi studi lapangan, identifik

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Yayan, Yanuari, Gustiana Husada Milda, and Budhi Utami Dina. "Aplikasi Rekomendasi Jenis Tanaman Pangan Menggunakan Metode Simple Additive Weighting (SAW)." Journal of Information Technology and Computer Science (JOINTECS) 3, no. 1 (2018): 151. https://doi.org/10.5281/zenodo.1203859.

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Weather and climate is one of the important factors in all aspects of life for example, weather will affect plant growth. Therefore, farmers will consider   the weather factors when determining the type of plant to be planted. Farmers often experience barriers to cultivating crops, one of which is determining the types of plants for planting of certain crops, because crop productivity depends on the ongoing climate. Determination of these types of plants is very important, because if the types of plants grown in the wrong climate / not in time then the loss of need or financial can occur.

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Nanda, Thoyib Fernanda, Erna Daniati, and Aidina Ristyawan. "Pemilihan Batu Bata Menggunakan Metode Simple Additive Weighting (SAW)." Nusantara of Engineering (NOE) 6, no. 1 (2023): 7–16. http://dx.doi.org/10.29407/noe.v6i1.19736.

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Penelitian ini berfokus pada pemilihan batu bata berdasarkan kriteria. Banyak jenis batu bata yang telah dipasarkan, tetapi banyaknya kriteria dan kurangnya pengetahuan dan informasi tentang jenis batu bata menjadikan pelanggan kesulitan memilih batu bata. Salah satu alternatif solusi untuk menyelesaikan permasalahan tersebut adalah menggunakan Sistem pendukung keputusan menggunakan metode SAW sehingga memudahkan pelanggan mengambil keputusan memilih batu bata sesuai dengan keinginannya. Metode SAW ini digunakan untuk menentukan nilai tertinggi dari hasil perankingan terdapat alternatif yang a

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Sofyan, Sofyan, Siti Nur Asia, and Muh Imam Quraisy. "Perancangan Sistem Pendukung Keputusan Penentuan Bonus Karyawan Berbasis Web Menggunakan Metode Simple Additive Weighting." Jurnal Sains Komputer dan Teknologi Informasi 4, no. 2 (2022): 11–16. http://dx.doi.org/10.33084/jsakti.v4i2.3327.

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Perancangan aplikasi website ini bertujuan untuk merancang sistem pendukung keputusan penentuan bonus karyawan berbasis web dengan menggunakan metode Simple Additive Weighting (SAW) pada PT. bagian pelayanan Haji Kalla cabang urip sumoharjo. Menerapkan sistem pendukung keputusan berbasis web untuk penentuan bonus karyawan menggunakan metode Simple Additive Weighting (SAW) di PT. Hadji Kalla, divisi pelayanan urip sumoharjo Pada perancangan aplikasi ini, sistem pengembangan yang digunakan adalah UML (Unified Modeling Language). Dalam pembuatan perangkat lunak aplikasi menggunakan PHP, HTML, CSS

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Permana, Aminuddin Indra. "Optimalisasi Skill Konsultan melalui Metode Simple Additive Weighting (SAW)." Jurnal Minfo Polgan 13, no. 2 (2024): 1702–9. http://dx.doi.org/10.33395/jmp.v13i2.14216.

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Penelitian ini bertujuan untuk mengoptimalkan keterampilan konsultan melalui penerapan metode Simple Additive Weighting (SAW). Dalam lingkungan bisnis yang semakin kompetitif, konsultan diharapkan memiliki keterampilan yang beragam untuk memberikan solusi yang efektif bagi klien. Metode SAW digunakan untuk mengevaluasi dan menganalisis keterampilan konsultan berdasarkan kriteria yang ditetapkan, seperti pengetahuan, pengalaman, kemampuan komunikasi, dan kreativitas. Data dikumpulkan dari 30 konsultan melalui kuesioner dan wawancara, dan dianalisis untuk menentukan skor keterampilan masing-masi

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Putri, Dwi, William Ramdhan, and Masitah Handayani. "Sistem Penentuan Bonus Karyawan menggunakan Metode Simple Additive Weighting." Edumatic: Jurnal Pendidikan Informatika 6, no. 2 (2022): 306–15. http://dx.doi.org/10.29408/edumatic.v6i2.6375.

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The Simple Additive Weighting (SAW) method is one of the methods in determining decisions based on predetermined criteria, such as employee annual bonuses. However, there are no criteria and systems used to determine who employees are eligible for the yearly bonus based on their purpose The purpose of this study is to create a system of supporting employee annual bonus decisions by applying the SAW method. The waterfall is a model used to build this system through analysis, design, implementation, and testing. Data collection used observations and interviews, as well as data used by 20 people.

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Nandhista, Dhimas, and Priyo Sidik Sasongko. "Implementasi Metode Fuzzy Simple Additive Weighting untuk Mendiagnosis Gangguan Kesehatan Melalui Telapak Tangan." JURNAL MASYARAKAT INFORMATIKA 11, no. 1 (2020): 68–78. http://dx.doi.org/10.14710/jmasif.11.1.31461.

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Diagnosis Gangguan Kesehatan melalui telapak tangan merupakan salah satu teknik Diagnosis Terapi Bekam. Banyaknya Gangguan Kesehatan yang dikenali mengharuskan ahli bekam dapat mendiagnosis suatu Gangguan Kesehatan dengan teliti dan tepat agar tidak terjadi kesalahan dalam menentukan gangguan kesehatan. Tujuan penelitian ini adalah membangun sebuah sistem yang dapat membantu ahli bekam untuk mendiagnosis gangguan kesehatan melalui telapak tangan. Sistem yang dibangun adalah Sistem Diagnosis Gangguan Kesehatan melalui Telapak Tangan menggunakan metode Fuzzy Simple Additive Weighting. Metode Fuz

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Book chapters on the topic "Metode Simple Additive Weighting (SAW)"

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Hosseinzadeh Lotfi, Farhad, Tofigh Allahviranloo, Witold Pedrycz, Mohammadreza Shahriari, Hamid Sharafi, and Somayeh Razipour GhalehJough. "Simple Additive Weighting (SAW) Method in Fuzzy Environment." In Fuzzy Decision Analysis: Multi Attribute Decision Making Approach. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-44742-6_5.

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Remoum, Karim, and Azzedine Bouzenoune. "Combination of Simple Additive Weighting (SAW) and Hierarchical Analysis Process (HAP) Methods for the Determination of Construction Suitability Zones in the Eastern Part of the Jijel Region (North East Algeria)." In Advances in Remote Sensing and Geo Informatics Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01440-7_14.

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Azadfallah, Mohammad. "Incorporating Negative Values into the Simple Additive Weighting (SAW) Under Uncertain Conditions: An Applications in Project Manager Selection Problem." In Information Systems Engineering and Management. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80275-1_12.

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"Chapter 14 Utilizing simple additive weighting (SAW) method for managerial discretion." In Multiple Criteria Decision-Making Methods. De Gruyter, 2022. http://dx.doi.org/10.1515/9783110743630-014.

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Wahyuni, Sri, and Mr Zulham. "APPLICATION OF THE DIVIDE AND CONQUER AND SIMPLE ADDITIVE WEIGHTING TO DETERMINE THE BEST EMPLOYEE." In Futuristic Trends in Artificial Intelligence Volume 3 Book 11. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bkai11p6ch2.

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The research proposes the application of the divide and conquer algorithm to select the best employees at Dharmawangsa University based on the value points each employee gets based on several assessment criteria. Each employee is assessed based on responsibility, discipline, cleanliness, initiative, cooperation, and skill. In ranking employees, the simple additive weighted (SAW) method is used. The basic method of SAW is to make a sum as a consideration of the performance rating of each alternative on all attributes. It is necessary to normalize the decision matrix (X) in the SAW method into a scale that can later be compared with all existing alternative ratings. The selection of the best employees is one of the Simple Additive Weighting method implementations. The purpose of this research is to determine the choice of the best employees at Dharmawangsa University. by doing this research what you want to achieve is to create a system that can assist in making optimal decisions.

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Çebi, Ferhan, İrem Otay, and Dilay Çelebi. "Fuzzy MCDM Approach for Make or Buy Decision Problem." In Encyclopedia of Business Analytics and Optimization. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5202-6.ch090.

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Make or buy decision answers a fundamental question in the development of a manufacturing strategy. It requires consideration of both quantitative and qualitative factors diverging in a broad range. This study presents a two-stage decision model which incorporates fuzzy multi-criteria decision making methods to support make or buy decision of a company operating in the wood building products sector. The first stage comprises fuzzy SAW (Simple Additive Weighting) method to evaluate the decision on market entry, then the second stage integrates fuzzy SAW and fuzzy VIKOR (Multi-criteria optimization and compromise solution) methods to evaluate sourcing options. Proposed approach is demonstrated on an example invoked from a real-life problem. Then, sensitivity analysis is conducted to test the robustness of the models.

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Fox, William P. "Multi-Attribute Decision Making in Risk Analysis." In Analyzing Risk through Probabilistic Modeling in Operations Research. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9458-3.ch011.

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Multi-Attribute Decision Making (MADM) is commonly used when we are comparing more than two courses of actions or alternatives based upon many selected criteria. This chapter presents methodologies to conduct MADM analysis for risk analysis and risk assessment across a variety of topics. These methodologies include Data Envelopment Analysis (DEA), Simple Additive Weighting (SAW), Analytical Hierarchy Process (AHP), and the Technique of Order Preference by Similarity to Ideal Solution (TOPSIS). The author describes each methodology, provide some strengths and limitations of each, discuss tips for sensitivity analysis, and provide two risk analysis examples to illustrate each method.

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Chen, Yu. "Application of Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Methods in Mapping Flood-Prone Areas." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210274.

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The first step of formulating flood risk management strategies is to identify the flood at-hazard areas. This study aims to map flood-prone areas with different hazard levels in the Dadu River basin, using simple additive weighting (SAW) and analytic hierarchy process (AHP) methods and the geographic information systems (GIS) tool. The grid map of selected criteria, rainfall, topography, drainage, and the usage of land were processed and applied to estimate the flood hazard index (FHI) values in the basin in the GIS environment. The resultant map illustrates the spatial distribution of basin-scale flood at-hazard areas, can be used as powerful guidance of implementing preventing and alleviating flood risk for decision-makers and managers, and extended application in other basins or disaster fields.

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Abdullah Lazim and Kamal C.W. Rabiatul Adawiyah C.W. "A New Integrating SAW-TOPSIS Based on Interval Type-2 Fuzzy Sets for Decision Making." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-722-1-45.

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Most of the integrated methods of multi-attributes decision making (MADM) used type-1 fuzzy sets to represent uncertainties. Recent theory has suggested that interval type-2 fuzzy sets (IT2 FS) could be used to enhance representation of uncertainties in decision making problems. Differently from the typical integrated MADM methods which directly used type-1 fuzzy sets, this paper proposes an integrating simple additive weighting &ndash; technique for order preference similar to ideal solution (SAW-TOPSIS) based on IT2 FS to enhance judgment. The SAW with IT2 FS is used to determine the weight for each criterion, while TOPSIS method with IT2 FS is used to obtain the final ranking for the attributes. A numerical example is used to illustrate the proposed method. The numerical results show that the proposed integrating method is feasible in solving MADM problems under complicated fuzzy environments. In essence, the integrating SAW-TOPSIS is equipped with IT2 FS in contrast to type-1 fuzzy sets for solving MADM problems. The proposed method would make a great impact and significance for the practical implementation. Finally, this paper provides some recommendations for future research directions.

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Surono, Sugiyarto, and Mustika Sari. "Fuzzy Multi-Attribute Decision Making (FMADM) Application on Decision Support Systems (SPK) to Diagnose a Type of Disease." In Fuzzy Systems [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.94614.

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Fuzzy logic is widely applied to daily life with various methods. One method is fuzzy multi-attribute decision making (FMADM). FMADM is able to select the best alternative from a number of alternatives. In FMADM there is a supporting method so that the results obtained are accurate and optimal, namely the classic MADM method. One method in classic MADM is the Simple Additive Weighting (SAW) method. The SAW method is precisely used to minimize diagnostic errors, but if a decision support system is made, the SAW method still requires a further development method, one of which is the FMADM method with its development. The purposes of this study are to describe the steps of SAW method and the development of FDM in theory, implement SAW method and the development of FDM to diagnose a type of disease and implement it in a decision support system using GUI matlab. The completion step of those two methods is through two stages, the first one will go through FMADM stage with SAW, which is weighted sum, then the output will be used as input to the FDM method based on total integral values. The result of this study is proven by patient experienced initial symptoms of high fever at a temperature of 39.5° C - 40° C, very much spots appear in rumple leed test (> 50 petheciae), bleeding gums, rarely got nausea and headache, as well as diarrhea. Accuracy for the decision support system using MAPE was obtained 93% so that the decision support system with FMADM method to diagnose the disease was feasible to use.

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Conference papers on the topic "Metode Simple Additive Weighting (SAW)"

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Putri, Marselindra Malihan, Widya Cholil, Sarika Afrizal, I. Wayan Widi Pradnyana, Tjahjanto, and Ruth Mariana Bunga Madu. "Decision Support System for Selecting Wedding Venues in Jakarta Using the Simple Additive Weighting (SAW) Method." In 2024 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS). IEEE, 2024. https://doi.org/10.1109/icimcis63449.2024.10957682.

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Gumay, Aisyah Alsyafira, Widya Cholil, I. Wayan Widi Pradnyana, Bambang Saras Yulistiawan, Ruth Mariana Bunga Wadu, and Netti Herawati. "Decision Support System for Determining Discipline Ambassadors at SMP PGRI 2 Ciledug Using the Simple Additive Weighting (SAW) Method." In 2024 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS). IEEE, 2024. https://doi.org/10.1109/icimcis63449.2024.10957466.

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Mustofa, Hery, Niswatin, Sudirman, and Syaiful Bakhri. "Employee Performance Assessment Using Simple Additive Weighting (Saw) Method." In The IMEOM 2022 Dhaka Conference, Bangladesh. IEOM Society International, 2022. http://dx.doi.org/10.46254/bd05.20220356.

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Kuswanto, Joko, Jum Dapiokta, Muhammad Nang Al Kodri, Trisilia Devana, and Johan Eka Wijaya. "Implementation of simple additive weighting (SAW) method for new employee recruitment." In INTERNATIONAL CONFERENCE ON ENGINEERING AND COMPUTER SCIENCE (ICECS) 2022: The Use of Innovative Technology in Accelerating Problems Sustainable Development. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0204852.

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"The implementation of simple additive weighting (SAW) method in decision making process for paint & coating." In Sustainable Processes and Clean Energy Transition. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902516-45.

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Abstract. New product development is a changing goal that becomes increasingly complex as a result of a variety of known and unknown circumstances. Different attributes need to be considered in selecting the best product formulation such as cost, safety, health, environment, performance and many others. A solid decision at the early stage of process design are all essential aspects in building a great product. Therefore, multi-criteria decision making is an important aspect during product development process. In this work, Simple Additive Weighting (SAW) has been used for the decision-making p

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Ghazali, Alfin, Poltak Sihombing, and Muhammad Zarlis. "Comparison analysis of weighting using fuzzy logic and centroid order rank (ROC) on simple Additive Weighting (SAW) method." In ADVANCES IN INTELLIGENT APPLICATIONS AND INNOVATIVE APPROACH. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0129589.

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Azzahra, Fadhila, and Irfan Dwiguna Sumitra. "Salary payment decision support system based on embedded system with simple additive weighting method (SAW)." In PROCEEDINGS OF THE 37TH INTERNATIONAL CONFERENCE OF THE POLYMER PROCESSING SOCIETY (PPS-37). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0175597.

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Cahyapratama, Afrianda, and Riyanarto Sarno. "Application of Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods in singer selection process." In 2018 International Conference on Information and Communications Technology (ICOIACT). IEEE, 2018. http://dx.doi.org/10.1109/icoiact.2018.8350707.

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Mulyani, Yani Sri, Ai Ilah Warnilah, Ahmad Madkur, et al. "The implementation of the Simple Additive Weighting (SAW) method to determining the superior commodity of Tasikmalaya city." In 2ND INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION SCIENTIFIC DEVELOPMENT (ICAISD) 2021: Innovating Scientific Learning for Deep Communication. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0128434.

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Kovalchuk, A. V. "Study approach of Simple Additive Weighting (SAW) as a method to measure fiscal decentralization index in Ukraine." In EFFECTIVE PUBLIC AND MUNICIPAL ADMINISTRATION: THEORY, METHODOLOGY, PRACTICE. EU EXPERIENCE. Baltija Publishing, 2020. http://dx.doi.org/10.30525/978-9934-26-005-6-1.

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Reports on the topic "Metode Simple Additive Weighting (SAW)"

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Marthanugraha, Rizki. DECISION SUPPORT SYSTEM FOR SELECTING BOARDING HOUSES FOR STUDENTS IN GRESIK USING THE SAW (SIMPLE ADDITIVE WEIGHTING) METHOD. ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.bpkdmoip.1.

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Marthanugraha, Rizki. DECISION SUPPORT SYSTEM FOR SELECTING BOARDING HOUSES FOR STUDENTS IN GRESIK USING THE SAW (SIMPLE ADDITIVE WEIGHTING) METHOD. ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.xelksq2b.1.

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