Article Per Year (5 Year)
p-Index From 2021 - 2026
2.81
P-Index
This Author published in this journals
All Journal Bulletin of Electrical Engineering and Informatics International Journal of Artificial Intelligence Research Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Ilmiah Keperawatan Sai Betik Aisyah Journal of Informatics and Electrical Engineering Journal of Information Systems and Informatics Wellness And Healthy Magazine Jurnal Aisyah : Jurnal Ilmu Kesehatan Jurnal Pengabdian Kepada Masyarakat Ungu ( Abdi Ke Ungu) Jurnal Ilmu Kesehatan Indonesia (JIKSI) Jurnal Maternitas Aisyah (JAMAN AISYAH) Kolaborasi Jurnal Pengabdian Masyarakat Jurnal Gizi Aisyah
Fitriana Fitriana
Universitas Aisyah Pringsewu
Computer Science & IT Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Medicine & Pharmacology Nursing Public Health Veterinary Other

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
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 Amali Rica Pratiwi Andini, Dwi Yana Ayu Anggista Putri, Nopi Anggraeni, Egi Ani Kristianingsih Aprilia Pratiwi Azri Afdhalluddin Beniqna Maharani Bertalina Bertalina Bintoro, Panji Desi Kumalasari Dewi Yunarti Fauziah, Nur Alfi Hafsah Mukaromah Hardiana, Erni Hellen Febriyanti Heni Pujiastuti Iis Tri Utami Ika Fitria Elmeida Juwita Desri Ayu Komalasari Komalasari Lia Puspita Lienggonegoro, Lisa Andriani Luthfiana Nurkusuma Ningtyas Marshanda, Novi Maulia Isnaini Monica Dara Delia Suja Muhammad Galih Ramaputra Nisrina, Zalfaa Nopi Anggista Nopi Anggista Putri Nopi Anggista Putri, Nopi Anggista Nurul Badriyah Panjaitan, Novaria Sari Dewi Psiari Kusuma Wardani Putriani, Olif Delfia Rahmawati, Nira Rahmi Khalida Rika Agustina, Rika Salwa, Akhla Saras Cipta Casmi SEPTI WULANDARI Septika Yani Veronica Setiani Setiani Sfenrianto, Sfenrianto Sheilla, Putri Soeprihatini, Retno Ariza Sri Lita Yani Suci Lanavia Sudarmi Sudarmi Sukarni Sukarni Sukarni Sukarni Sukarni Sulistiawati, Yuni Sunarno Sunarno Suriyani Tan, Suriyani Suyanto, Jipri Syarif Hidayat Tahta Herdian Andika Umar, Mareza Wiyanti, Zulvi Yani Veronica, Septika Yuliani Yuliani Yuliarti, Elis Yuni Sulistiawati Yuni Sulistiawatia Yuni Sulistyawati Yuniastini Yuniastini Yunita Anggriani Zulkifli