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All Journal Jurnal Ilmu Komputer dan Sistem Informasi Journal of Technology and Computer (JOTECHCOM)
Rili Aditya
Universitas Harapan Medan
Computer Science & IT Library & Information Science

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Sistem Pendukung Keputusan Pemilihan Asisten Laboratorium Menggunakan Metode MABAC Rili Aditya; Satrio Apriza Pradana; Wahyudi Maulana; Divi Handoko; David David
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 4 No. 1 (2025): Januari 2025
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v4i1.176

Abstract

The selection of the right laboratory assistant is very important to support practicum activities in the laboratory. The complex selection process requires a systematic approach to assessing candidates based on various criteria, such as GPA, semester specialty, programming knowledge test, interview test. The Multi-Attributive Border Approximation Area Comparison (MABAC) method is one of the methods in multi-criteria decision-making that can be used to solve this problem. MABAC offers an effective approach to evaluating and ranking candidates based on the weight of predetermined criteria. This study implements the MABAC method in SPK for the selection of laboratory assistants, with the aim of improving objectivity and accuracy in the selection process. The results of this system show that MABAC is able to provide consistent and reliable recommendations in determining the most suitable candidates as laboratory assistants.
Development of a Location-Aware Web-Based Decision Support System for Used Car Selection Using the SMART Method Rili Aditya; Haida Dafitri
Journal of Technology and Computer Vol. 3 No. 2 (2026): May 2026 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

The development of information technology has significantly influenced the process of buying and selling vehicles, especially used cars. The process of selecting used cars often faces several problems, such as limited information, difficulties in comparing vehicle specifications, and different vehicle locations. This study aims to develop a location-aware web-based Decision Support System using the SMART (Simple Multi Attribute Rating Technique) method for used car selection. The system is designed to help users obtain the best used car recommendations based on several criteria, such as price, production year, engine condition, fuel consumption, transmission, mileage, and passenger capacity. The location-aware feature is implemented to allow users to search for used cars based on specific cities, such as Medan, Binjai, Pematang Siantar, and Sibolga. The SMART method is used to perform weighting and ranking of car alternatives to produce objective and measurable recommendations. This research uses data collection methods through literature studies, observations, and questionnaires distributed to 70 respondents. The results show that the developed system is capable of helping users choose used cars more effectively, efficiently, and according to user needs.
Co-Authors David David Divi Handoko Haida Dafitri Satrio Apriza Pradana Wahyudi Maulana