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Journal : Informatics and Software Engineering (ISE)

Tier-Aware Entropy-ARAS Approach to Select Microcontroller Boards for Education Sintaro, Sanriomi; Atim, Sandi Badiwibowo; Sabandar, Vederico Pitsalitz
Informatics and Software Engineering Vol. 3 No. 2 (2025): December
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v3i2.574

Abstract

This study develops a decision support system to recommend microcontroller and IoT learning devices for schools, universities, and training centers under realistic budget constraints while considering both technical capability and educational suitability. The alternatives are grouped into three budget tiers and evaluated using nine criteria covering price, CPU frequency, Flash, RAM/PSRAM, connectivity, usable GPIO, ease of learning, learning resources/community, and local availability/warranty. Objective criterion weights are computed using the Entropy method, and tier-wise rankings are produced using Additive Ratio Assessment (ARAS) through utility scores relative to an ideal alternative. Indicative local price and availability information are compiled from Tokopedia, while qualitative criteria are scored using consistent rubrics to support reproducibility. The results identify ESP32-CAM + baseboard as the top recommendation in Tier 1, LILYGO T-Display S3 in Tier 2, and M5StickC Plus2 in Tier 3; across tiers, Entropy assigns the largest weights to the most discriminative criteria, particularly RAM/PSRAM and, in higher tiers, Flash. The study is limited by market price volatility, approximations in usable GPIO values, and rubric-based qualitative scoring, and it also reflects the tendency of Entropy to concentrate weights on highly dispersed criteria, potentially amplifying outlier advantages. Overall, the proposed tier-aware Entropy–ARAS framework provides a transparent and actionable approach for educational institutions to justify device procurement and usage decisions based on budget, functionality, and learning readiness.
Entropy vs. CRITIC Weighting for TOPSIS Ranking of Mobile Data Packages in Ambon City Sabandar, Vederico Pitsalitz; Sintaro, Sanriomi; Kalengkongan, Wisard Widsli; Jumriadi; Isnian, Sitti Nur
Informatics and Software Engineering Vol. 3 No. 2 (2025): December
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v3i2.575

Abstract

This study proposes a decision-support approach for selecting prepaid mobile data packages in Ambon City that balances price, main quota, and validity period. Twelve packages from Telkomsel, XL, Indosat IM3, and Tri were evaluated using four criteria: price, main quota, validity, and price per main gigabyte. TOPSIS was used for ranking, and Entropy and CRITIC were compared as objective weighting methods to examine the effect of weighting choice. Entropy emphasized the main quota, producing a quota-focused evaluation. CRITIC gave greater weight to price and price efficiency, accounting for data variation and criterion correlations. Both methods selected Tri Happy 70GB as the best option. The overall rankings were highly consistent, with a Spearman rank correlation of 0.8741, although some alternatives changed positions within the top group. The analysis is limited to a single time snapshot based on published package attributes and excludes measured network performance in Ambon City. In practice, the framework is transparent, replicable, and can be extended with constraints such as maximum budget and minimum validity requirements. The study contributes a controlled comparison of Entropy and CRITIC effects while keeping TOPSIS constant.
Co-Authors Ade Dwi Putra Ade Surahman Ade Surahman Ade Surahman Ade Yusupa Adhie Thyo Priandika Aditya Lapu Kalua Agung Taroreh, Gabriell Cristiano Agus Wantoro Ahmad Ari Aldino Ahmad Ari Aldino Albani Boutje Johanes Alfonsius, Eric Arinda Rifaini Arshad, Muhammad Waqas Atim, Sandi Badiwibowo Bernard Bernard, Bernard Budiono, Andiswar Muhamad Catra Adi Pranata Christian Alderi Jeffta Soewoeh Daniel Wolayan, Delon Dedi Darwis Deiby T Salaki DINGSE PANDIANGAN Djoni Hatidja Dodisutarma Lapihu Donaya Pasha Dr. Nelson Nainggolan, M.Si Eko Dedi Listiono Eliasta Ketaren Erlica M.I. Tutu Fenty ariany Frangky J. Paat Goma, Shotya Henry Tampi, Christian Ronaldo Idrajat Pangestu Irfan Fauzan Iriansu, Irfah Syagitsyah Islam, Noorul Isnain, Auliya Rahman Isnian, Sitti Nur Izudin Ismail Johanes, Albani Boutje Jumriadi Kadek Tame Jaya Kaplale, Jaidun Ramadhan Khafidlin Triatama Kurnia Noviyanti A. Mantu Lapu Kalua, Aditya Las D. Hutasoit Latumakulita, Luther Aleander Lili Andraini Lulud Oktaviani Lusiana Indawa Luther Latumakulita M. Ghufroni An’ars Mahardika Inra Takaendengan Mapalie, Natassya Klarissa Ribka Massie Hihola, Maharani Margareth Melvitasari Tinambunan Mesran, Mesran Muhammad Rahadiyan Bagaskara Nainggolan, Verina Putri Gloria NELSON NAINGGOLAN Ngangi, Stephano Caesar Wenston ningtyas, Kurnia rimadhanti Nofri Khairandi Pamungkas, Nurhuda Budi Pasaribu, A. Ferico Octaviansyah Pemmy Tumewu Putra, Ade Dwi Raintung, Stephanie Marceline Rantung, Meity R. Rillya Arundaa Ryan Randy Suryono Salaky, Deiby Tineke Setiawansyah Setiawansyah Setiawansyah Setiawansyah Siska Ayu Widiana Soleman, Kurniawan Stephano Caesar Wenston Ngangi SUAIDAH SUAIDAH, SUAIDAH Sulung, Sharon Tabita Sumanto, Sumanto Surahman, Ade Takaendengan, Mahardika Inra Tenda, Edwin Tien Yulianti Turnip, Rama Ijon Van Gobel, Amelya Ramadhanty Vederico Pitsalitz Sabandar Very Hendra Saputra Very Hendra Saputra Wahyudi, Agung Deni Walingkas, Stanley A. F. Waqas Arshad, Muhammad Wisard Widsli Kalengkongan Yessi Yunitasari YOHANA TRI UTAMI, YOHANA TRI Yohanes Bery Mokalu Yuni Tri Lestari, Yuni Tri Yuri Rahmanto