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All Journal Jupiter Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Eka Sevtiyuni, Putri
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology

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Faktor-Faktor yang Mempengaruhi Niat Perilaku Pengguna BSB Mobile Banking di Kota Palembang Igustisari, Cindy; Rosa Indah , Dwi; Eka Sevtiyuni, Putri
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 16 No 1 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10868626

Abstract

In the era of globalization, the use of the internet and technology has become commonplace. One of them is the banking sector, which has shifted to offering services with a digital touch, such as mobile banking. Rating assessment on Playstore, the BSB Mobile application received a score of 4.0. When using m-banking, customers found complaints such as user accounts being blocked for no reason, transactions failing but balance deductions still occurring, errors or bugs in the application. These complaints will reduce the user's desire to use the application. Researchers applied the UTAUT2 method and added Trust and Perceived Risk variables to analyze what factors influence BSB Mobile user intentions. The results of this analysis found that the variables Social Influence and Hedonic Motivation influence Intentional Behavior, while the variables Performance Expectations, Business Expectations, Facilitating Conditions, Price Value, Habits, Trust, and Perceived Risk do not influence the Intentional Behavior of BSB Mobile banking users.
Topic Mining-Based Knowledge Discovery of User Health Information Needs Khoiriyah Harahap, Dayana; Ditha Tania, Ken; Eka Sevtiyuni, Putri
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 4 (2025): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i4.270

Abstract

Understanding the user’s need for health information has become increasingly important as the use of digital health services continues to grow. However, the unstructured data of user-generated questions presents challenges in accurately capturing and analyzing these needs. This study contributes to addressing SDG 3 (Good Health and Well-being) by utilizing topic mining-based knowledge discovery to identify the primary topics emerging from user questions submitted through the “Tanya Dokter” feature on the Alodokter platform. A total of 8,550 questions were obtained through web scraping between July 2024 and June 2025. The collected data were preprocessed and subsequently analyzed using seven topic modeling approaches: Latent Dirichlet Allocation (LDA), Correlated Topic Model (CTM), Latent Semantic Analysis (LSA), Non-negative Matrix Factorization (NMF), BERTopic, Top2Vec, and ProdLDA. To assess model performance, the coherence metric (c_v) was employed to identify the most effective method. Among these techniques, NMF achieved the best results, producing the highest coherence score of 0.67 with six well-defined topics. The findings show six primary areas of concern: pregnancy; menstruation and contraceptive management; general health and minor ailments; infant care; dermatological conditions; and musculoskeletal and other physical complaints. General health-related issues occurred most frequently, particularly during seasonal transitions, while menstruation and contraceptive management received the least attention, despite menstruation contributing to women’s health risks and the use of contraceptives helping to reduce maternal mortality in Indonesia. These findings offer valuable insights for digital health platforms like Alodokter to enhance information delivery and health literacy, ultimately improving online health services and supporting the achievement of SDG 3
Co-Authors Ali Buchori, Muhammad Igustisari, Cindy Ken Ditha Tania Khoiriyah Harahap, Dayana Rizky Oktadini, Nabila Rosa Indah , Dwi