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Information Technology and Systems
Published by Santoso Academy Network
ISSN : -     EISSN : 30311187     DOI : 10.58777/its
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
The Information Technology and Systems ITS, is an open access and peer reviewed journal whose avenue for scholarly work emphasizes using information technology, systems theory, and information analytics to study issues in the design, built, commercial, cultural, and natural contexts. The Journal offers a venue for scholarly study on applications of systems thinking, information systems, electronic business, data analytics, information sciences, information management, business intelligence, and complex adaptive systems in the application domains of business environment, health administration, built environment, cultural settings, and natural environment. 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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 22 Documents
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Performance Analysis of Ensemble Learning in Sentiment Classification of BRImo App Reviews Puspita Sari, Novi
Information Technology and Systems Vol. 3 No. 1 (2025): November 2025
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/its.v3i1.500

Abstract

The use of mobile banking services in Indonesia continues to increase along with the development of information technology, including the BRImo application owned by Bank Rakyat Indonesia (BRI), which has reached more than 50 million downloads and one million reviews on the Google Play Store. These reviews serve as an important data source for understanding user perceptions and experiences. This study analyzes the performance of the Ensemble Learning method for sentiment classification of BRImo reviews by combining Support Vector Machine (SVM) and Decision Tree. The data was obtained through web scraping techniques, then processed through preprocessing stages including cleaning, case folding, normalization, tokenization, stopword removal, and stemming. Next, a lexicon approach was used for sentiment labeling, while TF-IDF was used for feature extraction. The dataset consists of 8,002 reviews, split with a ratio of 80:20. The study results show that SVM achieved the highest accuracy at 92.63%, due to its strong ability to optimally separate high-dimensional text data. The Ensemble model combining SVM and Decision Tree achieved an accuracy of 89.38%, slightly lower than SVM, but still providing stable predictions. This is because the Ensemble leverages the strength of two algorithms, making it capable of reducing result variance. Meanwhile, the Decision Tree recorded the lowest accuracy at 86.45%, indicating its limitations in handling the complexity of text data. Thus, although the Ensemble does not surpass SVM, the model combination still produces a more balanced and consistent performance. This study has limitations in terms of data coverage and a lexicon approach that is sensitive to context. The findings have implications for the development of the BRImo application based on user perceptions. The novelty of the research lies in the application of the SVM–Decision Tree Ensemble in sentiment analysis of mobile banking applications in Indonesia.
Optimization of Donation Management at Daarul Multazam Islamic Boarding School Using a Laravel-Based Web Information System Junaidi, Junaidi
Information Technology and Systems Vol. 3 No. 1 (2025): November 2025
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/its.v3i1.540

Abstract

Manual donation management at Pondok Pesantren Daarul Multazam poses challenges related to efficiency, reach, and transparency, which could potentially reduce donor trust. This study aims to design and develop an integrated web-based donation reception information system to address these issues. The software development methodology used is the Prototype Method, which emphasizes an iterative process through continuous evaluation with stakeholders to ensure the system built meets the real needs of users. This system is developed using a combination of modern technologies, namely the Laravel framework for the backend, Vue.js for a dynamic user interface, and Tailwind CSS for responsive design. The result of this study is a functional web donation application that has undergone a series of tests. Functional testing using the Black Box Testing method showed that all features worked as expected, while feasibility testing through User Acceptance Testing (UAT) showed a task completion success rate of 100%, indicating that the system is highly acceptable and easy to use. The limitation of this study is its focus on a single case study, and future research could explore the scalability as well as the implementation of advanced security features. The key features of the system include campaign management, online donation processes through payment gateway integration, and a crucial module, the Fund Usage Report, to enhance transparency and accountability, providing a replicable model for similar nonprofit institutions.

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