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All Journal Syntax Jurnal Informatika Jurnal TAM (Technology Acceptance Model) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Aisyah Journal of Informatics and Electrical Engineering Journal of Information Systems and Informatics SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Jurnal Pengabdian Kepada Masyarakat Ungu ( Abdi Ke Ungu) Yumary: Jurnal Pengabdian kepada Masyarakat Jurnal Abdimas Bina Bangsa Jurnal Maternitas Aisyah (JAMAN AISYAH) Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Jurnal Algoritma Jurnal Informatika Polinema (JIP) Jurnal Rekayasa Perangkat Lunak Jurnal TAM (Technology Acceptance Model)
Zulkifli
Prodi Sistem Informasi STMIK Pringsewu, Lampung
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Journal : Journal of Information Systems and Informatics

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Agile-Scrum Methodology for Hospital Information System Development Zulkifli, Zulkifli; Ratnasari, Ratnasari; Arifin, Yulyani; Habib, Cahya
Journal of Information System and Informatics Vol 7 No 2 (2025): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i2.1148

Abstract

Hospitals face significant challenges in managing large and complex data, and Hospital Information Systems (SIRS) are essential for supporting hospital operations. However, many SIRS projects experience delays and failures due to rigid development approaches. Agile-Scrum is proposed as a more flexible and adaptive solution, emphasizing collaboration and iterative processes to enhance the quality of healthcare services. This qualitative case study, conducted in a hospital with an internal development team, used observations, document analysis, and semi-structured interviews with 10 participants, including developers, a Scrum Master, and key hospital stakeholders. The findings indicate that implementing Agile-Scrum led to a 35% increase in team collaboration, a 40% improvement in responsiveness to changing requirements, and a 30% boost in overall project efficiency. The study highlights the effectiveness of Agile-Scrum in managing the complexities of SIRS development, especially through backlog organization, sprint planning, and stakeholder feedback. The study suggests further research to assess the long-term impact of Agile-Scrum in other information system development contexts.
A Multi-Algorithm Approach for Predicting OSCE Exam Passing Status Zulkifli; Panji Bintoro; Fitriana; Muhammad Galih Ramaputra; Hafsah Mukaromah
Journal of Information System and Informatics Vol 8 No 2 (2026): April
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i2.1518

Abstract

This study provides a paradigm for using a digital decision support system to automate OSCE evaluation. The effectiveness of this model is restricted to the scope of small-scale data and particular educational situations at Aisyah University, despite the results demonstrating great accuracy. As a result, additional modifications are needed for its practical implementation at other institutions. However, this research provides a crucial basis for the creation of digital assessment systems that might assist teachers in identifying students who want extra aid prior to final exams. Five machine learning algorithms Neural Network (NN), Support Vector Machine (SVM), Random Forest (RF), Naive Bayes (NB), and K-Nearest Neighbors (kNN) are assessed experimentally in this study. A dataset of 439 clinical competency data from Aisyah Pringsewu University midwifery students was used to create the model. Eight clinical skill factors were used as input, including baby massage, newborn care, and family planning services. To guarantee result stability, the 5-fold cross-validation approach was used for model validation. According to the test findings, every algorithm performs well, with an accuracy of more than 90%. On this particular dataset, SVM achieved a 100% classification accuracy, whereas Random Forest and SVM showed the most efficacy. With an average validation accuracy of 95%, neural networks also demonstrated excellent performance. This study provides a paradigm for using a digital decision support system to automate OSCE evaluation. The effectiveness of this model is restricted to the scope of small-scale data and particular educational situations at Aisyah University, despite the results demonstrating great accuracy. As a result, additional modifications are needed for its practical implementation at other institutions. However, this research provides a crucial basis for the creation of digital assessment systems that might assist teachers in identifying students who want extra aid prior to final exams.
Co-Authors Abdullah Abdullah Adi Prasetia Nanda Agus Wantoro Ahmad Ahlun Nazar Andika, Tahta Herdian Andino Maseleno Ani Kristianingsih Aras, Irsan Arifin, Yulyani Aviv Fitria Yulia Ayu Andini, Dwi Yana Azri Afdhalluddin Bintoro, Panji Candra Irawati Desni Sagita, Yona Dwi Feriyanto Dwi Yana Ayu Andini Eko Setiawan, Agustinus El Hanif, Azka Fadzlan Thoriq Fadzlan Thoriq Fahlul Rizki Ferly Ardhi Ferly Ardhy Fitra Endi Fernanda, Fitra Endi Fitriana Fitriana Gustianing, Defy Habib, Cahya Hafsah Mukaromah Hany, Hany Zahra Nabbilla Herdia Andika, Tahta Ilham Ubaidillah Joko Triloka M. Galih Ramaputra M. Islamahdi Muhammad Ahsan Jamal Muhammad Arifin Muhammad Galih Ramaputra Mulyono, Andi Nasrullah Nopi Anggista Putri, Nopi Anggista Nur Aminudin Nurul Isti Fada Ockhy Jey Fhiter Wassalam Pasaribu, Alfredo Ramadhanti, Dinda Ratnasari Ratnasari Rendy Yudha Pratama Rini Wahyuni Rizki, Fahlul Salman Alfarisi Salimu Sarifuddin Sarifuddin Septika Yani Veronica Sodikin Sodikin Sukarni Sukarni Sunarmi Syazili Mustofa Tahta Herdian Andika Tri Ayu Septiana Yana Ayu Andini, Dwi Yana Ayu, Dwi Yani Veronica, Septika Yona Desni Sagita