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Entropy vs. CRITIC Weighting for TOPSIS Ranking of Mobile Data Packages in Ambon City Vederico Pitsalitz Sabandar; Sanriomi Sintaro; Wisard Widsli Kalengkongan; Jumriadi; Sitti Nur Isnian
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.
Development of Multimedia-Based Edutainment for Learning About Animals and Plants: A Case Study at PAUD Bunda Pratiwi Sanriomi Sintaro
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 3 No. 1 (2025): Volume 3 Number 1 January 2025
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v3i1.168

Abstract

This study examines the need for interactive multimedia-based learning to help young children, especially in preschool education, recognize animals and plants through information technology. Traditionally, teaching methods have relied on blackboards, books, and environmental exposure, with some educators incorporating interactive videos from platforms like YouTube. However, with rapid technological advancements, computer-based learning using interactive multimedia presents a more engaging alternative. Interactive multimedia integrates visual programming, sound, text, and images, creating a more dynamic and comfortable learning experience. Its implementation in education is expected to boost children’s enthusiasm and comprehension by making lessons more visually appealing and easier to understand. The research aimed to develop an application that enhances learning through multimedia technology and assess its effectiveness in addressing educational challenges. To evaluate the application's impact, scenario-based tasks were assigned to respondents, followed by a System Usability Scale (SUS) questionnaire to measure user satisfaction. The results showed an average SUS score of 91.92, placing it in the "A" Grade Scale and the "Acceptable" category according to Adjective Ratings. These findings indicate that the application meets user expectations and effectively supports early childhood learning. Overall, the study confirms that multimedia-based learning can significantly enhance engagement and understanding in young learners. By leveraging technology, educators can create more effective and enjoyable learning experiences, fostering greater interest in educational content. The positive usability results highlight the potential of interactive multimedia in modernizing early childhood education, making learning more accessible and stimulating for students.
Comparative Analysis of Objective Weighting Approaches in Multi-Criteria Decision Making Using WASPAS Sanriomi Sintaro; Pritasari Palupiningsih; Junhai Wang
Journal of Decision Support Systems and Multi-Criteria Decision Making Vol. 1 No. 1 (2026): November 2026
Publisher : Asosiasi Peneliti Informatika dan Komputer untuk Riset (PILAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67449/jodesma.v1i1.2

Abstract

Selecting the best-performing honorary employee is a multi-criteria decision-making problem because employee performance is influenced by several criteria with different levels of importance. This study aims to conduct a comparative analysis of objective weighting approaches in the Weighted Aggregated Sum Product Assessment (WASPAS) method for evaluating honorary employee performance and examining the stability of the resulting rankings. Eight alternatives, namely HE-A to HE-H, were evaluated using five criteria: Work Performance, Discipline, Cooperative Ability, Initiatives and Problem Solving, and Communication Skills. Twelve objective weighting methods, namely Entropy, G2M, RECA, LOPCOW, CRITIC, MEREC, WENSLO, LOGSTA, LODECI, ITARA, SITDE, and DAM, were independently applied to determine criterion weights. The resulting weights were then integrated into WASPAS to generate alternative rankings under different weighting scenarios. The results show that HE-F consistently achieved the first rank across all objective weighting approaches, while HE-E consistently occupied the eighth position. The ranking comparison further indicates that most methods produce ranking patterns close to the original ranking, although MEREC introduces greater changes in several alternative positions. Spearman rank correlation analysis confirms a strong consistency of the resulting rankings, with the highest correlation obtained by LODECI, SITDE, and DAM at 0.9524, followed by G2M and CRITIC at 0.9286 and MEREC at 0.9048. Overall, the findings demonstrate that the combination of objective weighting approaches and WASPAS provides a reliable framework for employee performance evaluation, while comparative correlation analysis can be used to assess ranking stability and robustness across different weighting perspectives.
Logarithmic Normalization and Standard Deviation Modification for Enhanced Sensitivity in Objective Criteria Weighting Vederico Pitsalitz Sabandar; Yulian Hany Makaruku; M. Ikbal Siami; Sandi Badiwibowo Atim; Sanriomi Sintaro
Journal of Decision Support Systems and Multi-Criteria Decision Making Vol. 1 No. 3 (2027): July 2027
Publisher : Asosiasi Peneliti Informatika dan Komputer untuk Riset (PILAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67449/jodesma.v1i3.15

Abstract

Objective weighting methods are essential in multi-criteria decision-making (MCDM) because criterion weights directly influence alternative rankings. However, dispersion-based weighting approaches may assign excessive importance to criteria with high variability, resulting in an imbalanced weighting structure. This study proposes LOGSTA-D, an extension of the Logarithmic Normalization and Standard Deviation (LOGSTA) method that introduces a Dispersion Compression Transformation based on the square root of standard deviation. The transformation is designed to moderate differences in criterion dispersion before logarithmic dispersion is used to derive the final criterion weights. The proposed method is evaluated using a supplier selection dataset consisting of nine alternatives and eight criteria and is integrated with four MCDM methods, namely SAW, MOORA, WP, and WASPAS. The results show that LOGSTA-D produces a more moderated distribution of criterion weights by reducing the dominance of highly dispersed criteria and redistributing importance toward criteria with lower initial weights. Across the evaluated MCDM methods, the resulting rankings exhibit a high degree of consistency, with limited changes among intermediate alternatives. The robustness analysis shows that the LOGSTA-D with MCDM framework achieves a robustness value of 0.9875, compared with 0.9604 for the LOGSTA with MCDM framework, indicating a higher level of ranking consistency under the evaluated conditions. These findings demonstrate that LOGSTA-D provides a controlled dispersion-based weighting mechanism that can support robust decision-making in supplier selection problems.
Pemilihan Ukuran Kail Optimal Berbasis Karakteristik Ikan Laut Menggunakan Metode AHP-SAW: Studi Kasus di Perairan Sekitar Kota Manado Sanriomi Sintaro; Frangky Jessy Paat; Luther Alexander Latumakulita
Jurnal Komputasi Vol. 13 No. 1 (2025)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v13i1.289

Abstract

Keberhasilan kegiatan penangkapan ikan dengan metode pancing sangat dipengaruhi oleh pemilihan ukuran dan jenis kail yang sesuai. Setiap spesies ikan memiliki karakteristik biologis yang berbeda, seperti berat tubuh dan ukuran mulut, yang harus dipertimbangkan dalam pemilihan kail agar aktivitas penangkapan menjadi lebih efisien dan berkelanjutan. Penelitian ini bertujuan untuk mengembangkan model pengambilan keputusan yang sistematis dalam pemilihan ukuran kail optimal untuk berbagai spesies ikan. Metode yang digunakan adalah kombinasi Analytic Hierarchy Process (AHP) untuk menentukan bobot kriteria dan Simple Additive Weighting (SAW) untuk merangking alternatif ukuran kail berdasarkan kriteria tersebut. Empat kriteria utama yang dipertimbangkan meliputi kesesuaian ukuran mulut ikan, kapasitas berat maksimum kail, kekuatan bahan kail, dan ketersediaan kail di pasaran. Proses SAW dilakukan secara spesifik untuk setiap spesies ikan, dengan mempertimbangkan karakteristik biologis masing-masing ikan sebagai tahap penyaringan awal. Hasil penelitian menunjukkan bahwa ukuran kail optimal sangat bervariasi tergantung pada spesies ikan target. Ikan berukuran besar seperti Tuna dan Marlin direkomendasikan menggunakan ukuran kail besar (9/0, 8/0), sementara ikan kecil seperti Roa dan Baronang lebih sesuai dengan ukuran kail kecil. Model AHP-SAW yang dibangun terbukti efektif dalam memberikan rekomendasi ukuran kail yang lebih objektif, sistematis, dan aplikatif. Temuan ini diharapkan dapat membantu meningkatkan efisiensi dan keberlanjutan praktik penangkapan ikan di lapangan. Ke depan, validasi lapangan bersama komunitas nelayan direncanakan untuk menguji efektivitas model ini di praktik penangkapan nyata. Selain itu, pengembangan sistem rekomendasi otomatis berbasis aplikasi diharapkan dapat meningkatkan penerapan model ini secara praktis di kalangan pelaku perikanan.
Simulation-Based Evaluation of Offline Web Mapping for Agricultural Land Inventory: Usability and Data Quality Sintaro, Sanriomi; Saroyo; Tindi, Ricardo Gianluigi
Jurnal Agroekoteknologi Terapan Vol. 7 No. 3 (2026): ISSUE SEPTEMBER 2026
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35791/jat.v7i3.70505

Abstract

Agricultural land inventories require reliable spatial records, accessible software, and consistent data validation. This study assessed AgriMap Field version 1.2, a self-contained offline web mapping application, through a computational simulation designed to examine its evaluation procedures before field deployment. A structured simulation dataset comprised 30 hypothetical user profiles, 120 task attempts across four inventory activities, 30 ten-item System Usability Scale (SUS) response sets, 30 agricultural plot records, and paired geographic coordinates. Task completion was assessed using recorded success and a stricter definition requiring completion within the specified time without assistance. SUS scoring and internal consistency were recalculated, and coordinate-pair distances were independently verified using the haversine formula. Recorded task success was 88.3% (106/120), while strict independent success was 80.0% (96/120); spatial location retrieval had the lowest strict success (70.0%). The simulated SUS mean was 73.0 (standard deviation 9.01), with Cronbach's alpha of 0.774. All 30 simulated inventory records contained the six mandatory fields, and the mean distance between paired coordinates was 6.43 m; 25 of 30 pairs were separated by less than 10 m. Separately, all 61 predefined software regression checks passed. These findings support the internal consistency of the evaluation framework and identify mapping navigation as a priority for subsequent testing. Because the user responses and geographic reference records were simulated, these measures do not represent observed farmer usability or independently measured field positional accuracy
Thermal and Energy Performance of a Modular-Airflow Air Fryer for Dehydration And Thawing Lamaega, Jolanda Ch. E.; Ogie, Tommy B.; Paat, Frangky J.; Sintaro, Sanriomi
Jurnal Agroekoteknologi Terapan Vol. 7 No. 3 (2026): ISSUE SEPTEMBER 2026
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35791/v7i3.70521

Abstract

Affordable postharvest processing equipment requires careful management of heat and airflow, particularly when electrical capacity is limited. This study assessed the thermal and energy performance of a compact modular-airflow food-processing chamber and examined its application to fruit dehydration and frozen-meat thawing. A 15.6 L insulated chamber used incandescent heaters rated at 60, 100, and 150 W and interchangeable recirculation, exhaust, and ambient-air intake modules. The no-load thermal experiment followed a 3 × 2 × 2 factorial arrangement of heating power, airflow mode (recirculation or exhaust), and one or two active fan modules, with three replicates per condition. Temperature, stabilization time, and 15-min electrical consumption were evaluated; fruit dehydration and meat thawing were reported descriptively. Recirculation maintained higher chamber temperatures than exhaust operation. Using two recirculation modules reduced the reported apparent vertical temperature difference by approximately 53–62% compared with one module. Electrical use during the no-load tests ranged from 15.53 to 38.57 Wh. In the fruit trials, the 150 W two-module exhaust treatment produced the highest recorded gravimetric mass losses, 69.0% for citrus and 67.6% for strawberry, with specific energy consumption of 2.29 and 2.34 Wh per gram of removed mass, respectively. Two-module ambient-air intake shortened the observed thawing endpoint at 60 and 100 W. These findings indicate that interchangeable airflow arrangements can support distinct thermal-processing tasks within one small chamber, although further product-quality and airflow measurements are needed before broader performance claims can be made.
Co-Authors Ade Dwi Putra Ade Surahman Ade Surahman Ade Surahman Ade Yusupa 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 Bernard Bernard, Bernard Bidadari Yuritza Destilasilika Budiono, Andiswar Muhamad Catra Adi Pranata Christian Alderi Jeffta Soewoeh Cyndrika Rany Philipus Daniel Wolayan, Delon Dedi Darwis Deiby T Salaki Denny Saroinsong Dingse Pandiangan Djoni Hatidja Dodisutarma Lapihu Dr. Nelson Nainggolan, M.Si Eko Dedi Listiono Eliasta Ketaren Elvina Artha Nainggolan Erlica M.I. Tutu Fenty ariany Frangky J. Paat Frangky Jessy Paat Goma, Shotya Henry Tampi, Christian Ronaldo Idrajat Pangestu Irfan Fauzan Iriansu, Irfah Syagitsyah Islam, Noorul Isnain, Auliya Rahman Izudin Ismail Johanes, Albani Boutje Jolanda Ch. E. Lamaega, Jolanda Ch. E. Jumriadi Junhai Wang Kadek Tame Jaya Kaplale, Jaidun Ramadhan Khafidlin Triatama Kurnia Noviyanti A. Mantu Lapu Kalua, Aditya Las D. Hutasoit Latumakulita, Luther Aleander Lili Andraini Lucky Putra Dharmawan Lulud Oktaviani Lusiana Indawa Luther Alexander Latumakulita Luther Latumakulita M. Ghufroni An’ars M. Ikbal Siami Mahardika Inra Takaendengan Mapalie, Natassya Klarissa Ribka Massie Hihola, Maharani Margareth Melvitasari Tinambunan Mesran, Mesran Muhammad Rahadiyan Bagaskara Nainggolan, Verina Putri Gloria Nelson Nainggolan NELSON NAINGGOLAN Ngangi, Stephano Caesar Wenston ningtyas, Kurnia rimadhanti Nofri Khairandi Ogie, Tommy B. Palupiningsih, Pritasari Pamungkas, Nurhuda Budi Pasaribu, A. Ferico Octaviansyah Pasha, Donaya Pemmy Tumewu Philipus, Cyndrika Rany Priandika, Adhie Thyo Putra, Ade Dwi Raintung, Stephanie Marceline Rantung, Meity R. Reni Lucia Kreckhoff Ricardo Gianluigi Tindi Ricardo Gianluigi Tindi Rillya Arundaa Ryan Randy Suryono Salaky, Deiby Tineke Sandi Badiwibowo Atim Sandi Badiwibowo Atim Saroyo Setiawansyah Setiawansyah Setiawansyah Setiawansyah Siska Ayu Widiana Sitti Nur Isnian Soleman, Kurniawan Stephano Caesar Wenston Ngangi SUAIDAH SUAIDAH, SUAIDAH Sulung, Sharon Tabita Sumanto Sumanto Surahman, Ade Takaendengan, Mahardika Inra Tenda, Edwin Tien Yulianti Tindi, Ricardo Gianluigi Turnip, Rama Ijon Van Gobel, Amelya Ramadhanty Vederico Pitsalitz Sabandar Vederico Pitsalitz Sabandar Verina Putri Gloria Nainggolan Very Hendra Saputra Very Hendra Saputra Wahyudi, Agung Deni Walingkas, Stanley A. F. Waqas Arshad, Muhammad Wisard Widsli Kalengkongan Wisard Widsli Kalengkongan Yessi Yunitasari YOHANA TRI UTAMI, YOHANA TRI Yohanes Bery Mokalu Yulian Hany Makaruku Yuni Tri Lestari, Yuni Tri Yuri Rahmanto