Decision Support System for Student Laptop Recommendation Using the Simple Additive Weighting Method Based on Android

Authors

  • Kreshna Ady Saputra Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia
  • Dr. Yulia Darmi, M. Kom Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia
  • Pigar Apranoverel Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia
  • Bintang Fardiansyah Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia
  • Rendy Kusadi Novas Putra Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia
  • M. Davindra Putra Mahesa Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia

DOI:

https://doi.org/10.51903/elkom.v19i1.3900

Keywords:

Android Application, Decision Support System, Laptop Recomendation, Multi Criteria Decision Making, Simple Additive Weighting

Abstract

The increasing variety of laptop products with diverse specifications and prices has made the selection process more challenging for students. Different academic activities such as coding, gaming, graphic design and editing, 3D engineering modeling, and multitasking require distinct hardware specifications, making it difficult to determine the most suitable laptop manually. This study aims to develop an Android-based Decision Support System (DSS) for laptop recommendations using the Simple Additive Weighting (SAW) method. The system evaluated 25 laptop alternatives based on nine evaluation criteria, namely price, RAM, CPU, GPU, SSD, battery, device weight, screen size, and body material. The SAW method was implemented through decision matrix construction, normalization, weighted preference calculation, and alternative ranking. The results showed that different user profiles produced different recommendation outcomes. The ASUS Zenbook 14 OLED UM3402YA achieved the highest preference value in the coding and multitasking categories, while the Nitro V obtained the highest score in the gaming, graphic design and editing, and 3D engineering modeling categories. The developed Android application provides users with a practical and flexible tool for obtaining laptop recommendations according to their specific needs. The findings indicate that the SAW method is effective in generating objective and personalized laptop recommendations through a multi-criteria decision-making approach.

Author Biographies

  • Kreshna Ady Saputra, Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia

    Undergraduate Student at the Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia

  • Dr. Yulia Darmi, M. Kom, Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia

    Lecturer at the Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia.

  • Pigar Apranoverel, Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia

    Undergraduate Student at the Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia

  • Bintang Fardiansyah, Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia

    Undergraduate Student at the Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia

  • Rendy Kusadi Novas Putra, Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia

    Undergraduate Student at the Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia

  • M. Davindra Putra Mahesa, Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia

    Undergraduate Student at the Department of Informatics Engineering, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Indonesia

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Published

2026-07-13

Issue

Vol. 19 No. 1 (2026): Juli : Jurnal Elektronika dan Komputer

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Articles

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Copyright (c) 2026 Elkom: Jurnal Elektronika dan Komputer

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How to Cite

[1]
“Decision Support System for Student Laptop Recommendation Using the Simple Additive Weighting Method Based on Android”, ELKOM , vol. 19, no. 1, pp. 266–278, Jul. 2026, doi: 10.51903/elkom.v19i1.3900.