SISTEM PENUNJANG KEPUTUSAN PEMILIHAN SUPPLIER DI TIA PET SHOP DENGAN METODE (SAW)

JURTEKSI ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 111-116
Author(s):  
Maha Rani ◽  
Ricki Ardiansyah ◽  
Anatia Agusti ◽  
Deby Erdriani ◽  
Nikmatul Husna
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Data Processing ◽  
Decision Maker ◽  
Support System ◽  
Decision Makers ◽  
Average Price ◽  
Simple Additive Weighting

Abstract: The goal to be achieved in this research is a decision support system that can provide support to decision makers in determining the supplier to be selected. The decision support system made using the Simple Additive Weighting (SAW) method in processing the data. Based on the results of data processing and information obtained, the decision support system made was successful in giving preference and ranking of suppliers in accordance with the criteria given by the decision maker. In selecting suppliers at Tia Pet Shop, the criteria used are quality, average price, packaging and speed of delivery.            Keywords: Decision Support System; Simple Additive Weighting; Supplier;  Abstrak: Tujuan yang ingin dicapai dalam penelitian ini yaitu sebuah sistem penunjang keputusan yang dapat memberikan dukungan kepada pembuat keputusan dalam menentukan supplier yang akan dipilih. Sistem penunjang keputusan yang dibuat menggunakan metode Simple Additive Weighting (SAW) dalam melakukan pemprosesan datanya. Berdasarkan hasil pengolahan data dan informasi yang didapat sistem penunjang keputusan yang dibuat berhasil memberikan preferensi dan perangkingan supplier sesuai dengan kriteria yang diberikan oleh pembuat keputusan. Dalam pemilihan supplier di Tia Pet Shop kriteria yang digunakan yaitu kualitas, harga rata-rata, pengemasan dan kecepatan pengiriman.  Kata kunci: Simple Additive Weighting; Supplier; Sistem Penunjang Keputusan

scholarly journals A MODEL-DRIVEN DECISION SUPPORT SYSTEM FOR REALLOCATION OF SUPPLY TO ORDERS UNDER UNCERTAINTY IN CERAMIC COMPANIES

2015 ◽  
Vol 21 (4) ◽  
pp. 596-625 ◽  
Author(s):  
M. M. E. ALEMANY ◽  
A. A. ◽  
Andrés BOZA ◽  
Vicente S. FUERTES-MIQUEL
Keyword(s):  
Decision Support ◽  
Mathematical Programming ◽  
Decision Support System ◽  
Decision Maker ◽  
Support System ◽  
Programming Model ◽  
Decision Makers ◽  
Mathematical Programming Model ◽  
Finished Good ◽  
Model Driven

In ceramic companies, uncertainty in the tone and gage obtained in first quality units of the same finished good (FG) entails frequent discrepancies between planned homogeneous quantities and real ones. This fact can lead to a shortage situation in which certain previously committed customer orders cannot be served because there are not enough homogeneous units of a specific FG (i.e., with the same tone and gage). In this paper, a Model-Driven Decision Support System (DSS) is proposed to reassign the actual homogeneous stock and the planned homogeneous sublots to already committed orders under uncertainty by means of a mathematical programming model (SP-Model). The DSS functionalities enable ceramic decision makers to generate different solutions by changing model options. Uncertainty in the planned homogeneous quantities, and any other type of uncertainty, is managed via scenarios. The robustness of each solution is tested in planned and real situations with another DSS functionality based on another mathematical programming model (ASP-Model). With these DSS features, the ceramic decision maker can choose in a friendly fashion the orders to be served with the current homogeneous stock and the future uncertainty homogeneous supply to better achieve a balance between the maximisation of multiple objectives and robustness.

scholarly journals SISTEM PENDUKIUNG KEPUTUSAN PADA SISTEM SELEKSI PENERIMAAN GURU MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING

Kilat ◽  
2018 ◽  
Vol 7 (2) ◽  
pp. 132-138
Author(s):  
Nurjaya Nurjaya ◽  
Maulana Ardhiansyah ◽  
Rezki Suryana
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Educational Programs ◽  
Decision Makers ◽  
Decision Making Process ◽  
Simple Additive Weighting ◽  
Important Position

Teacher is an important element in the support system, therefore function and position of teachers in improving the quality of learners need to be considered seriously. Basically, teachers are professionals in the field of education that has the task of teaching, educating, and guiding students to become a man is impersonal. Thus, teachers have an important position and responsibilities of a very great deal in the success or failure of educational programs. In order to facilitate the selection process for the teachers, the school can use the Decision Support System Decision Support System that is used as a tool for decision makers to expand the capabilities of the decision makers, but not to replace the judgment of the decision makers. The method used is the Simple Additive weighting, Simple Additive Weighting (SAW) suitable for decision-making process because it can determine the weight values ​​for each attribute, followed by indexing process that will select the best alternative from a number of the best alternative. It can be concluded from this study that the SAW method is very relevant to solve the problem of decision makers.

scholarly journals Sistem Pendukung Keputusan Rekomendasi Emiten Saham Menggunakan Metode Simple Additive Weighting

2021 ◽  
Vol 2 (3) ◽  
pp. 321
Author(s):  
Renny Puspita Sari ◽  
Muhamad Rabil Maulana
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Decision Makers ◽  
Financial Ratios ◽  
Weighting Method ◽  
Stock Recommendations ◽  
The Future ◽  
Simple Additive Weighting ◽  
The Many

In the current era, stock investing is an instrument that is currently popular with Indonesian youth, stock investing is one of the many investment options that are increasingly in demand by various groups. Investing in stocks is an activity to refrain from enjoying the present for more enjoyment in the future, this investment often brings someone to be wiser in managing their finances, choosing good stocks is not an easy thing for some investors it takes many factors and ratios - financial ratios to choose stocks that can provide financing by the initial investment objectives. Therefore we need a system to help these problems. The system is a decision support system that can assist in making decisions from the available options. This Stock Issuer Recommendation Decision Support System Using the Simple Additive Weighting Method is here to assist decision-makers to choose good issuers or stocks to collect so that they can provide good profits in the future. The results of the calculation on the system using the Simple Additive Weighting method will show the best suitable stock recommendations for the user based on the data they enter.

Sistem Pendukung Keputusan Penentuan Dosen Terfavorit Pilihan Mahasiswa Menggunakan Metode Simple Additive Weighting (SAW)

2021 ◽  
pp. 1-7
Author(s):  
Frans’s Alfiando ◽  
Jordi Esa Putra ◽  
Muhammad Fiqran
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Decision Maker ◽  
Support System ◽  
Academic Staff ◽  
Final Conclusion ◽  
Weighting Method ◽  
Process Stage ◽  
Process Guidance ◽  
Simple Additive Weighting

Lecturers are academic staff who are in charge of planning and implementing the learning process, guidance and training, and are able to bring students into activities held by the University, both official and non-official. Selection of favorite lecturers chosen by students can encourage lecturers to communicate more with students to be able to invite students to take part in groups or organizations involving students and lecturers. However, in reality, Universitas Putra Indonesia YPTK Padang is still not actively conducting this election. To overcome these problems, a Decision Support System was designed to determine the student's favorite lecturers by using the simple additive weighting method. The Decision Support System for Determining Favorite Lecturers of Student Choice is a system that is able to increase the ease of decision making in determining lecturers who have student attractiveness so that students are more active and more competent in the guidance of the selected lecturers. In this system the lecturer's assessment is based on 5 criteria. The criteria used are responsibility, discipline, attitude, initiative, and presence. To get the final conclusion as an alternative decision to determine the lecturer of this choice requires the calculation process stage on each variable that has been determined based on the criteria. The position of the decision support system in this study is as a decision supporter, not replacing the role of the decision maker, so that the decision maker has the right to fully refer to the decision support system or not. The research results from the calculated simple additive weighting method can be concluded that the favorite lecturer of the student's choice is lecturer 2 with a score of 1.00 which is the result of the highest ranking and can be used as an alternative for determining the favorite lecturer of the student's choice.

scholarly journals Sistem Pendukung Keputusan Seleksi Bantuan Siswa Miskin Menerapkan Kombinasi Metode SAW dan ROC

2019 ◽  
Vol 3 (4) ◽  
pp. 376
Author(s):  
Andri Yunaldi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rank Order ◽  
Decision Makers ◽  
Poor Students ◽  
Selection Decision ◽  
Student Assistance ◽  
Simple Additive Weighting

Decision support system (DSS) is a system that helps decision makers in this case the principal, so that the decisions produced are considered effective and appropriate to solve the problems faced. Specifically in determining the provision of assistance to poor students, the determination of the criteria is aimed at making the recipient of the assistance in accordance with the purpose of the assistance itself. In this study, the authors applied a combination of SAW and ROC methods in selecting beneficiaries. ROC (Rank Order Centroid) is a method that can produce weight values, while Simple Additive Weighting (SAW) is a method used to rank poor prospective student assistance recipients as an alternative. The results of the study are expected to contribute to the development of science, especially the principal in the selection decision for recipients of poor student assistance

Sistem Pendukung Keputusan Penerimaan Karyawan Dengan Metode Simple Additive Weighting (SAW)

2017 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Edi Ismanto ◽  
Noverta Effendi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Work Experience ◽  
Performance Test ◽  
Decision Makers ◽  
Recruitment Process ◽  
Ability To Work ◽  
Simple Additive Weighting ◽  
Education Work

Universitas Muhammadiyah Riau is really need the support of technology information in order to facilitate its activities. At  the time, there are usually find a case of an error of the recruitment  process in an institution. It is also possible at Universitas Muhammadiyah Riau. It is actually depend on parties the agency that will make or break its own admission employes. Actually, the process of selecting the employee in accordance with the intelectual capability in quantity and the ability to work in accordance with its quality controlled. There are several criteria assessment in process of making decision recruitment at Universitas Muhammadiyah Riau. There assessment are based on the criteria of education, work experience, performance, test, interview, age, status, and address. The objectives to be achieved is to create a system that can help decision makers to determine the process recruitment optimally by using method of SAW (Simple Additive Weighting). The result of this research is building decision support system for acceptance new employes, and finally it can be uses as supporting for process accepting new employes.

Group Decision Support System for Business Place Establishment using Fuzzy SAW Borda

2020 ◽  
Vol 4 (5) ◽  
pp. 964-969
Author(s):  
Standy Oei
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Group Decision ◽  
Decision Makers ◽  
Group Decision Support System ◽  
Business Location ◽  
Simple Additive Weighting ◽  
Flood Intensity

The economic development of a city is marked by the increasing number of established businesses. Inaccurate decision about business location can result in losses for the owner. To support proper decision making, various decision making methods have been developed. For example, by using Fuzzy, Analytical Hierarchy Process (AHP), Promethee, Simple Additive Weighting (SAW), Borda, and Hybrid (a combination of several methods). In this research, the author tries to solve the problem of decision making in determining business location, by designing a decision support system that uses a hybrid method approach, a combination of Fuzzy, Simple Additive Weighting (SAW), and Borda. There are 3 alternative locations (A1, A2, and A3), 5 decision makers, and 5 assessment criteria used, such as land eligibility (benefit), population density (benefit), traffic jam (benefit), completeness of files (benefit), and flood intensity (cost). The Decision Support System accepts input in the form of natural language/linguistic (very/quite/kinda/less) and converts it into a fuzzy membership value (range 0 to 1), processes it based on weight, cost, and benefit of existing criteria using Simple Additive Weighting (SAW), and combines the assessment results using Borda from 5 decision makers/business owners with their respective perceptions. So as to produce a final group decision. Where the final result obtained in the Borda method, that the alternative location A1 (A1 score is 6) gets the first priority to be business place establishment location, followed by A3 (A3 score is 5) in the second priority, and A2 (A2 score is 4) in the third priority/last.  

scholarly journals Group Decision Support System for Job Promotion Using the Simple Additive Weighting (SAW) Method

2019 ◽  
Vol 1 (1) ◽  
pp. 34
Author(s):  
Muhar Dizani ◽  
Sumiati Sumiati ◽  
Suherman Suherman
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Analysis ◽  
Group Decision ◽  
Group Decision Support ◽  
Decision Makers ◽  
Group Decision Support System ◽  
Speed Up ◽  
Simple Additive Weighting

The Group Decision Support System is a tool used to help group decision makers become faster and more objective. A case study at Serang Raya University is the selection of employees for promotion. The problem is the difficulty in determining which employees will be promoted to fill a certain position and spend a lot of time and how to do the calculation? The research methodology used is system analysis, and calculation of the Simple Additive Weighting (SAW) method. The criteria chosen are based on staffing policies. The decision makers involved were the dean of the faculty, the head of the staffing department and the university's rector. Simple Additive Weighting (SAW) can determine the weight value for each attribute, then proceed with the ranking process that will select the best alternative from a number of alternatives. The results are used to make it easier for users to choose the employees to choose for promotion. This system is expected to help speed up employee decision making to be promoted.

Perancangan Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Pada Bravo Supermarket Jombang

2016 ◽  
Vol 2 (1) ◽  
pp. 40
Author(s):  
Fatikhatus Sholikhah ◽  
Diema Hernyka Satyareni ◽  
Chandra Sukma Anugerah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Customer Loyalty ◽  
Design Decision ◽  
Web Based ◽  
Business World ◽  
Election System ◽  
Simple Additive Weighting ◽  
The Town

Abstrak Persaingan merupakan hal yang biasa terjadi terutama dalam dunia bisnis, tidak terkecuali yang telah dialami oleh Bravo Supermarket Jombang. Bravo bukanlah satu-satunya supermarket di kota Jombang, sehingga Bravo harus bersaing dengan para kompetitornya agar Bravo bisa bersaing dan tetap produktif. Salah satu cara yang dapat digunakan dalam meningkatkan penjualan dan loyalitas pelanggan adalah dengan memberikan reward kepada para pelanggan terbaik. Oleh karena itu perlu dibuatlah sebuah perancangan sistem pendukung keputusan dalam pemilihan pelanggan terbaik pada Bravo. Dalam perancangan sistem yang dibuat nantinya berbasis web dengan metode SAW(Simple Additive Weighting)sebagai proses perhitungan pemilihan pelanggan terbaik. Hasil dari perancangan sistem pemilihan pelanggan terbaik pada Bravo Supermarket Jombang diharapkan dapat membantu pihak manajemen Bravo dalam pemilihan pelanggan terbaik yang akan menerima reward dan akhirnya akan mampu meningkatkan loyalitas pelanggan dan profit Bravo. Kata kunci: Bravo, sistem pendukung keputusan, pelanggan, SAW. Abstract Competition is a common thing, especially in the business world, is no exception has been experienced by Bravo Supermarket Jombang. Bravo is not the only supermarket in the town of Jombang, so that Bravo had to compete with its competitors in order Bravo to compete and remain productive. One way that can be used to increase sales and customer loyalty is to give rewards to the best customers. Therefore, it needs to be made to a design decision support system in the selection of the best customers on Bravo. In designing the system made later on a web-based method of SAW (Simple Additive weighting) as the process of calculating the best customer selection. The results of the election system design best customers at Bravo Supermarket Jombang expected to assist management in selecting the best customer Bravo who will receive rewards and will eventually be able to increase customer loyalty and profit Bravo. Key word: Bravo, decision support system, customers, SAW.

SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

2016 ◽  
Vol 1 (1) ◽  
pp. 088
Author(s):  
Wahyu Joni Kurniawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytic Hierarchy ◽  
Assistant Coach ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of ◽  
Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

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