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All Journal Saturnus: Jurnal Teknologi dan Sistem Informasi Jurnal Publikasi Teknik Informatika
Masayu Wianda Putri
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Computer Science & IT

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Perancangan Sistem Informasi Manajemen Antrian untuk Meningkatkan Efisiensi di Puskesmas Stabat Lama Ali Ikhwan; Fahar Abdul Aziz; Muhammad Prahmana Tirta; Masayu Wianda Putri; Ananda Utami
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 1 (2025): Januari: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i1.648

Abstract

Health centers have an important role in providing effective and efficient health services to the community. However, the problem of long and unorganized queues often hinders the quality of service. This study aims to design and implement a web-based queue management system at the Stabat Lama Health Center. The methods used include system requirements analysis, database design, and software development. This system allows patient registration, queue number retrieval, and automatic patient calling, thereby reducing waiting time and increasing operational efficiency. The implementation results show that this system is able to create a more orderly service flow, minimize errors in the queuing process, and increase patient satisfaction. With the integration of information technology, this system is expected to support the transformation of more modern and responsive health services.
Sistem Pakar Diagnosa Penyakit Kulit menggunakan Metode Certainty Factor dan Forward Chaining Vidya Ramadhani; Muhammad Rizki Fadillah; Masayu Wianda Putri; M Prahmana tirta; Ika Yusnita
Jurnal Publikasi Teknik Informatika Vol. 5 No. 1 (2026): Januari: Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v5i1.6391

Abstract

This study focuses on developing an expert system for diagnosing skin diseases using the Certainty Factor and Forward Chaining methods. The increasing prevalence of skin diseases and the similarity in symptoms among different conditions make accurate initial diagnoses challenging without expert help. Expert systems are valuable in supporting early medical decisions and improving public access to diagnostic information. The study aims to diagnose skin diseases based on symptoms while considering the uncertainty in medical decision-making. The novelty of the study lies in integrating the Certainty Factor method to quantify confidence in diagnoses with the Forward Chaining inference mechanism, which processes symptom-based rules. A rule-based expert system approach is used, with data on symptoms and diseases gathered from literature and expert knowledge. Forward Chaining serves as the inference engine, while the Certainty Factor method calculates the certainty level of diagnoses based on user-selected symptoms. The results show that the expert system can accurately diagnose skin diseases and provide a certainty value aligned with expert opinions. The combination of Certainty Factor and Forward Chaining enhances the clarity and reliability of the diagnosis. The study concludes that the proposed system effectively supports the initial diagnosis of skin diseases by providing diagnostic results along with a certainty level.
Co-Authors Ali Ikhwan Ananda Utami Fahar Abdul Aziz Ika Yusnita M Prahmana tirta Muhammad Prahmana Tirta Muhammad Rizki Fadillah Vidya Ramadhani