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Journal : RISTEC : Research in Information Systems and Technology

Implementation of the Simple Additive Weighting (SAW) Method for Supplier Selection Muhyidin, Yusuf; Iman Hermanto, Teguh; Raymond Ramadhan, Yudhi; Irmayanti, Dede; Angga Permana, Muhammad
RISTEC : Research in Information Systems and Technology Vol. 5 No. 1 (2024): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Supplier selection is a critical part of purchasing activities in a company because it has an impact on the quality and availability of raw materials, production cost efficiency and the smooth circulation of company finances. Determining suppliers based on certain criteria can be supported by a decision support system (DSS). The method used is the Simple Additive Weighting (SAW) method. The criteria used in selecting suppliers are speed of delivery, discount level, service, quality of goods and payment tempo. The final result obtained from the calculation process is a ranking table which shows the assessment of each supplier using the weight criteria determined by the company and recommends the supplier with the highest score as the best supplier. By implementing a decision support system using the Simple Additive Weighting (SAW) method, it can help companies determine and select suppliers who are able to provide good products. Keywords : Simple Additive Weighting Method; selection of supplier
Implementation of Copras Method for Decision Support Systems in Determining Purwakarta Tourist Destinations Gito, Mochzen; Muhyidin, Yusuf; Wibawa Pratama, Ariya; Defriani, Meriska
RISTEC : Research in Information Systems and Technology Vol. 5 No. 2 (2024): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Purwakarta Regency has a variety of interesting tourist destinations, but the large number of choices often makes it difficult for tourists to determine the location that suits their preferences. This research aims to build a web-based decision support system (SPK) with the Complex Proportional Assessment (COPRAS) method to help select the best tourist destinations. The research methods include problem identification, literature study, data collection, implementation of the COPRAS method, and system testing. The criteria used in the evaluation process include cost, distance, tourist facilities, operating hours, accessibility, and reviews of digital maps. The results of the implementation of the COPRAS method show that Panenjoan Village is the destination with the highest ranking with a value of 1,000. This system can make it easier for tourists to choose a destination that suits their needs
E-COMMERCE WEBSITE DESIGN USING EXTREME PROGRAMMING METHOD (Case Study: UMKM Bolu Ara) Juniar, Rina; Nugroho, Imam Ma’ruf; Muhyidin, Yusuf
RISTEC : Research in Information Systems and Technology Vol. 6 No. 1 (2025): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

UMKM Bolu Ara is a micro business engaged in the production of cakes and sponges, which still uses manual methods in recording and managing orders via WhatsApp. This system causes various obstacles such as delays in payment verification, order recording errors, and difficulties in data management. To overcome these problems, the design and development of e-commerce websites using the Extreme Programming (XP) method was carried out. The XP method was chosen because it is iterative and flexible, with stages of planning, design, coding, and testing. The tools used include the CodeIgniter 3 framework, PHP programming language, MySQL database, and Visual Studio Code editor, with XAMPP support as a local server. Testing is done using the Black Box Testing method to ensure system functionality in accordance with user needs. The development results show that the e-commerce website built is able to make the process of recording and managing orders more structured, and provide convenience for users in making transactions independently. This system also supports managers in recording data and reports better.
Decision Support System for Selecting Outstanding Employees Based on the Simple Additive Weighting (SAW) Method and Analytical Hierarchy Process (AHP) Imam Sulistyo, Mochammad; Hafid T, Moch. `; Muhyidin, Yusuf
RISTEC : Research in Information Systems and Technology Vol. 3 No. 2 (2022): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Employees are the company's most important asset, without the role of employee’s activities cannot be realized. Employees are serious in determining the plans and goals that must be achieved. Therefore, PT. Unibless Indo Multi periodically selects the best employees to increase the spirit of performance and employee dedication to the company. Theselection of employees will be done computerized, so it is necessaryfor a system when considering all the criteria that support to determinethe best employees. To support the decision-making system, a decision-making method is needed. PT employees choose the methods used in the decision support system are SAW and AHP methods. The SAW method is often called the weighted summation method. At the same time, the Analytical Hierarchy Process is a decision-making process that finds thebest solution by outlining complex problems into a more complex form. Based on the results processed in this study with the use of either SAW and AHP method in the first rankobtained by Taufik with thesame weight which is 0,66.