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Informatics and Software Engineering (ISE)
Published by Santoso Academy Network
ISSN : 29882818     EISSN : 29882222     DOI : https://doi.org/10.58777/ise
Core Subject : Science,
Computer Science & IT
The Informatics and Software Engineering is an open-access and peer-reviewed journal that publishes theoretical and empirical research articles, review papers, and case studies on all major Informatics and Software Engineering topics. The journals mission is to offer a forum for the growing amount of scholarly research on Information Technology and Software Engineering in which it operates. The journal emphasizes theoretical advancements, their application, and empirical, practical, and policy research in global IT technology. The journal provides a platform for professionals in the field of IT to exchange their expertise and experiences. It aims to promote discussions on the design, development, implementation, management, and assessment of diverse IT applications among practitioners, researchers, managers, and IT policymakers. The journals goal is to promote communication and collaboration between and among academic and other research groups, as well as the founder of start-up and technology decision-makers at private and public institutions, national and global, and their regulators.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 2 (2025): December" : 5 Documents clear
Analysis of MyIndiHome Application User Sentiment Using the Support Vector Machine Method Muhyi, Muhyi; Hylenarti Hrtyana, Hylenarti Hrtyana; Hernawati, Hernawati
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.v3i2.490

Abstract

The development of information technology in the era of the Industrial Revolution 4.0 has encouraged service providers to continue to improve the quality of their digital services, including PT. Telkom Access through the MyIndiHome application. This application makes it easier for customers to access various services, but there are still complaints regarding features and ease of use. This study aims to analyze the sentiment of MyIndiHome application users using the Support Vector Machine (SVM) method to evaluate customer perception and satisfaction levels. The data collection method was carried out through Simple Classification Results (based on 70 respondents): Interviews with nine purposively selected informants, Distribution of questionnaires to 61 interview respondents of MyIndiHome application users, which were then analyzed using pre-processing and classification techniques to distinguish sentiment into positive and negative. The analysis results show that most users have a positive perception of the application, especially in terms of ease of reporting interruptions and the completeness of features. However, there are still obstacles to ease of use, especially for users less familiar with technology. The SVM method has proven effective in classifying user sentiment even with limited data. This study recommends improving the user interface and education features to optimize the overall use of the MyIndiHome application.
Implementation of AIChatbots for Education and Introduction to Blockchain Products Saragih, Bento Sariando; Faizi, Achmad; Handayanna, Frisma
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.v3i2.525

Abstract

The development of information technology in the era of the Industrial Revolution 4.0 has encouraged service providers to continue to improve the quality of their digital services, including PT. Telkom Access through the MyIndiHome application. This application makes it easier for customers to access various services, but there are still complaints regarding features and ease of use. This study aims to analyze the sentiment of MyIndiHome application users using the Support Vector Machine (SVM) method to evaluate customer perception and satisfaction levels. The data collection method was carried out through Simple Classification Results (based on 70 respondents): Interviews with nine purposively selected informants, Distribution of questionnaires to 61 interview respondents of MyIndiHome application users, which were then analyzed using pre-processing and classification techniques to distinguish sentiment into positive and negative. The analysis results show that most users have a positive perception of the application, especially in terms of ease of reporting interruptions and the completeness of features. However, there are still obstacles to ease of use, especially for users less familiar with technology. The SVM method has proven effective in classifying user sentiment even with limited data. This study recommends improving the user interface and education features to optimize the overall use of the MyIndiHome application.  
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.
Determining Student Achievement Using the Weighted Sum Model Method Based on the Decision Support System Ramadhan, Rizal Furqan
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.v3i2.579

Abstract

The field of education has a strong influence on the state and nation. A good education will produce good products for the country's future development. The foundation of a country is a good education system that produces high-quality alumni. The educational institution in question is a university. Universities can produce graduates of varying quality. This will cause a few problems in the development of education in Indonesia. The importance of student quality in a tertiary institution underscores the need for systematic, measurable assessment. Assessment of outstanding students can be grouped into 2 criteria: academic-based and non-academic-based. The assessment of undergraduate students refers to the selection guidelines for outstanding undergraduates issued by the Ministry of Research, Technology, and Higher Education. A computerized system is needed to store large amounts of data to support student selection (assessment) activities, enabling them to be carried out effectively and efficiently. The Decision Support System is one of the information system models that can implement this idea. The basic concept of a Decision Support System is to provide decision recommendations to the manager or leader of a case. The system's output produces the 5 best students with the highest score of 4.4. Assessment of outstanding students using the Decision Support System is more effective and reduces mathematical calculation errors in the assessment process. A computerized Decision Support System can store large amounts of data and process large volumes.

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