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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.
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 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 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 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 Turnip, Rama Ijon Van Gobel, Amelya Ramadhanty 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 Yuni Tri Lestari, Yuni Tri Yuri Rahmanto