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All Journal Jurnal Infinity Sistemasi: Jurnal Sistem Informasi Generation Journal Journal of Computer System and Informatics (JoSYC) Teknika Jurnal Informatika dan Rekayasa Perangkat Lunak JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) Pakem : Jurnal Pengabdian Kepada Masyarakat Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Ilmiah Computer Science Journal of Data Science and Information System Informatics and Software Engineering (ISE) Journal of Information Technology, Software Engineering and Computer Science Physikos: Journal of Physics and Physics Education German für Gesellschaft (J-Gefüge) Jurnal Infinity
Vederico Pitsalitz Sabandar
Universitas Pattimura
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Journal : Informatics and Software Engineering (ISE)

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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 Altje Latununuwe Anderson Leonardo Palinussa Atim, Sandi Badiwibowo Darwis, Dian Tari Elsina Sarah Tamaela, Elsina Sarah Esomar, Ketarina Harry Budi Santoso Isnian, Sitti Nur Jozua Sabandar Jumriadi Kalean, Arman Katayane, Tetrin Kelik Sussolaikah Limba, Anastasija Lulang, Irma Yani Luther Latumakulita Maemonah, Maemonah Makaruku, Yulian H Makaruku, Yulian Hanny Malawau, Seska Pieter Zakarias Tupamahu Ridlan ahmad Riovan Styx Roring Sahuleka, Novita Sanriomi Sintaro Wahyudi, Agung Deni Widya Putri Ramadhani Wisard Widsli Kalengkongan Yohanes Rozi Astino