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All Journal Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Winny Purbaratri
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Computer Science & IT

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Sistem Pendukung Keputusan Pemilihan Tempat Kost Mahasiswa Menggunakan Metode Saw (Simple Additive Weighting) Muhammad Daffa Sumarto; Winny Purbaratri; Dwi Atmodjo Wismono Prapto; M. Isnin Faried
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 1 No. 6 (2023): November : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v1i6.741

Abstract

Boarding homes are very crucial for students who live far from home, especially for those who go to Perbanas Institute. Choosing a boarding home has frequently been done without a defined procedure, which has made it hard for students to identify alternatives that fit their needs and budget. This study creates a web-based decision support system (DSS) for choosing boarding homes based on the Simple Additive Weighting (SAW) technique. This technique gives each criterion price, distance to campus, facilities, security, and room size weights. These weights are then used to find the best option from the 10 available by normalizing and ranking them. Surveys, observations, and reading books were used to gather research data. The weights were then set depending on what the students wanted. The results of the calculations reveal that "Kost Evi" got the highest score, hence it is the best pick. The system that was created can make decisions faster and easier, and it does it in a way that is clear and accurate. This technique may also be used in a number of different multi-criteria decision-making situations, making it a useful and adaptable option for more organized decision-making needs...
Sistem Pendukung Keputusan Teknik Trading Menggunakan Metode Simple Additive Weighting Muhammad Luthfi Hakim; Winny Purbaratri; Nabilah Rahsa Pratiwi
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

This study aims to design and analyze a Decision Support System for cryptocurrency purchase decisions using the Simple Additive Weighting (SAW) method. This system was developed to assist investors in determining the best crypto assets based on technical indicators such as Fibonacci, Moving Average, and Stochastic. The research process included problem identification, data collection through interviews and observations, literature review, web-based system design using PHP and MySQL, and system testing. Each criterion was given a priority weight based on its influence on the decision, then a preference value was calculated for each cryptocurrency alternative: Bitcoin, Ethereum, Cardano, and Solana. The analysis results showed that Solana had the highest preference value (0.92), followed by Bitcoin (0.82), Cardano (0.68), and Ethereum (0.52), making Solana the best recommendation for purchase. The developed system is able to provide more objective, faster, and more efficient decision recommendations compared to manual analysis. Thus, the application of the SAW method has proven effective in supporting structured cryptocurrency investment decision-making based on technical indicators.
Co-Authors Dwi Atmodjo Wismono Prapto Hakim, Muhammad Luthfi M. Isnin Faried Muhammad Daffa Sumarto Nabilah Rahsa Pratiwi