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All Journal Kesmas Indonesia: Jurnal Ilmiah Kesehatan Masyarakat Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Journal of Public Health Research and Community Health Development (JPH RECODE) Jurnal Aisyah : Jurnal Ilmu Kesehatan International Journal of Health and Information System (IJHIS) International Journal of Healthcare and Information Technology SEJAGAT : Jurnal Pengabdian Masyarakat
Wijayanti, Rossalina Adi
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Agriculture, Biological Sciences & Forestry Computer Science & IT Engineering Health Professions Library & Information Science Medicine & Pharmacology Nursing Public Health Veterinary Other

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Evaluasi RME Rawat Jalan Menggunakan Metode EUCS di RSUD Ngudi Waluyo Wlingi Wijayanti, Rossalina Adi; Rohman, Nur Cholis Abdul; Rachmawati, Ervina; Rahagiyanto, Angga
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 13 No 2 (2025)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33560/jmiki.v13i2.728

Abstract

Obstacles were found in the development of RME at Ngudi Waluyo Wlingi Regional Hospital, namely that there were registration form items that were not used, x-ray results sometimes did not appear resulting in doctors looking at the printed results, and there was no RME user manual. This study aims to evaluate outpatient RME using the EUCS method. This research is a quantitative descriptive study using the end-user computing satisfaction method. The total sample was 54 respondents using the Lemeshow formula. The data collection technique is by distributing questionnaires. User satisfaction analysis, namely the results of respondents' answers, is calculated for each variable, namely content, accuracy, format, timeliness, ease of use. The results are compared between expectations and the reality received by the user. Users are very satisfied if reality is greater than expectations. Users are satisfied if reality is the same as expectations. Users are dissatisfied if expectations are greater than reality. The research results showed that 38.89% of respondents were dissatisfied with content, 37.04% of respondents were dissatisfied with accuracy, 27.78% of respondents were dissatisfied with format, 29.63% of respondents were dissatisfied with timeliness, there were 42, 59% of respondents were not satisfied with ease of use. The suggestions given are for Ngudi Waluyo Wlingi Regional Hospital to review the output produced by RME, add validation warnings when input duplication occurs, develop the RME interface, and create a manual book for using RME.
Development of VANESA (Virtual Assistant Nutritional Care Centre for Education and Consultation) for Diabetes Mellitus Management Nuraini, Novita; Wijayanti, Rossalina Adi; Dewi, Riskha Dora Candra; Wicaksono, Andri Permana
International Journal of Healthcare and Information Technology Vol. 3 No. 2 (2026): January
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijhitech.v3i2.6706

Abstract

Diabetes Mellitus (DM) remains a significant public health challenge in Indonesia, with rising prevalence and limited access to personalized nutritional care. The Nutrition Care Centre (NCC) at Jember State Polytechnic offers diet consultation and education services but faces constraints in human resources and client reach, with only 23% of visitation targets met since 2021. To address this gap, this study aims to develop VANESA, a virtual assistant powered by artificial intelligence (AI) and QR code technology to provide accessible, efficient, and contextual education and consultation services for DM patients. The system integrates rule-based and AI-based chatbot functionalities to deliver natural language responses regarding DM management, including dietary guidance, physical activity, and basic treatment advice. It also facilitates telehealth consultations, automated registration via QR code, and seamless integration with the existing Electronic Medical Record (EMR) system. Developed using the Waterfall model of SDLC, VANESA is designed to enhance service accessibility, reduce operational costs, and support continuous monitoring of patient nutritional status. Expected outcomes include a web-based admin system, an AI-driven Q&A chatbot, telehealth features, QR-based registration, and an analytics dashboard. This innovation not only supports the Teaching Factory NCC but also serves as a scalable model for digital health interventions in resource-limited settings. Thus, VANESA is a digital health solution that has a direct and applicable impact, is able to increase service efficiency, expand the reach of nutritional interventions, and can be replicated and scaled sustainably in various health facilities, especially in areas with limited resources.
Co-Authors Alfiansyah, Gamasiano Ardianto, Efri Tri Damayani, Desnia Sindi Deharja, Atma Dewi, Riskha Dora Candra Febriyanti, Bella Amalia Irfiah, Irfiah Kiromah, Siska Ainul Lestari, Melia Sinta maya weka santi, maya weka Muflihatin, Indah Nuraini, Novita Olidela, Imanuel Nikson Putri, Fitriana Rachmawati, Ervina Rahagiyanto, Angga Rohman, Nonik Aisyah Rohman, Nur Cholis Abdul Sustin Farlinda, Sustin Wicaksono, Andri Permana Zatin, Widian Almas