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All Journal International Journal Software Engineering and Computer Science (IJSECS) Repeater: Publikasi Teknik Informatika dan Jaringan
Yosefin Caltrin Odelia
Unknown Affiliation
Computer Science & IT

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Sistem Informasi Kepegawaian Dinas Perhubungan Kota Jayapura Jeanet Damariska Simatauw; Yosefin Caltrin Odelia; Rahmat Haryadi Kiswanto
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 2 (2025): April: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v3i2.403

Abstract

The Personnel Information System at the Jayapura City Transportation Office aims to increase efficiency and effectiveness in managing personnel data. In today's digital era, manual data management has limitations that affect the speed and accuracy of information. Therefore, a computerized information system is necessary for better management of employee data. This study aims to analyze the implementation of the personnel information system at the Jayapura City Transportation Office, as well as evaluate its impact on personnel administration performance. The methods used in this study include direct observation of the system in use, interviews with staff and system managers, and analysis of the system's effectiveness in improving data management. The system was evaluated in terms of its ability to streamline administrative tasks, facilitate easy access to personnel data, and enhance overall efficiency in managing personnel information. The results of the study indicate that the system has successfully optimized employee data management, improved administrative efficiency, and made access to information faster and more accurate. However, some obstacles were identified, such as the need for further training for staff to use the system optimally and occasional technical issues with system integration. Despite these challenges, the personnel information system has proven to be an essential tool for improving the overall performance of the personnel administration at the Jayapura City Transportation Office. The study concludes with recommendations for further system enhancements and the importance of ongoing staff training to ensure the system's continued success.
Expert System for Disease Diagnosis in Pregnant Women Using Backward Chaining Method Yosefin Caltrin Odelia; Patmawati Hasan; Emy Lenora Tatuhey
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4498

Abstract

Healthcare providers treating pregnant women need reliable tools for accurate disease diagnosis. We created an expert system that assists doctors in identifying illnesses during pregnancy through backward chaining inference methods. The project involved collaboration with medical professionals at North Jayapura Health Center who shared their clinical expertise to develop the system. Our backward chaining method examines patient symptoms by working backward from potential diseases to find diagnostic matches. Through detailed interviews, healthcare professionals contributed their years of experience treating pregnant patients. We transformed their knowledge into diagnostic rules that help the system recommend possible diagnoses based on symptom patterns. The system serves as a decision support tool that helps doctors make quicker, more confident diagnostic choices. Many pregnancy-related diseases share similar symptoms, which can confuse even experienced practitioners. Our tool helps sort through these diagnostic challenges while preserving the doctor's authority in making final decisions. Evaluation showed the expert system significantly improved diagnostic performance in primary care settings. Many healthcare facilities lack access to specialists familiar with pregnancy complications. The system brings expert-level diagnostic knowledge to these underserved areas, improving patient care quality
Co-Authors Jeanet Damariska Simatauw Kiswanto, Rahmat Haryadi Patmawati Hasan Tatuhey, Emy Lenora