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All Journal Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Jurnal Publikasi Teknik Informatika
Vidya Ramadhani
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Computer Science & IT

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Implementasi Agile dalam Perancangan UI/UX Sistem Informasi Absensi Siswa di MTS Muhammadiyah 01 Medan Ali Ikhwan; Asri Akmaliyah Syahfitri; Vidya Ramadhani; Muhammad Yusuf Siregar; Zikri Ezza Alhira
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 3 No. 1 (2025): Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v3i1.393

Abstract

The implementation of the Agile method in designing the UI/UX for the student attendance information system at MTS Muhammadiyah 01 Medan resulted in a responsive, efficient, and user-friendly interface design. The Agile approach allowed for iterative and adaptive design development, utilizing user feedback for refinement at each stage. The design process included requirements gathering, design, testing, and evaluation with a focus on user experience. The resulting UI/UX design makes it easier for teachers to manage attendance, replacing the inefficient and error-prone manual methods. This implementation also supports the digitalization of administrative processes in the educational environment, improving accessibility, efficiency, and user comfort. With an intuitive design that meets user needs, this system is expected to be widely adopted, having a positive impact on data management in schools, and serving as a model for similar development in the future.
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 Asri Akmaliyah Syahfitri Ika Yusnita M Prahmana tirta Masayu Wianda Putri Muhammad Rizki Fadillah Muhammad Yusuf Siregar Zikri Ezza Alhira