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All Journal JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Malikussaleh Journal of Mathematics Learning (MJML) Indonesian Journal of Applied Informatics Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Jurnal Computer Science and Information Technology (CoSciTech) BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer SATUKATA: Jurnal Sains, Teknik, dan Studi Kemasyarakatan Jurnal Aplikasi Sistem Informasi dan Elektronika
Yanuarti, Rosita
Universitas Muhammadiyah Jember
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : SATUKATA: Jurnal Sains, Teknik, dan Studi Kemasyarakatan

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SISTEM PAKAR DIAGNOSA PENYAKIT ANEMIA MENGGUNAKAN METODE CERTAINTY FACTOR DAN FORWARD CHAINING BERBASIS ANDROID Isnanda Denny Soggy Rachmad; Agung Nilogiri; Rosita Yanuarti
SATUKATA: Jurnal Sains, Teknik, dan Studi Kemasyarakatan Vol. 1 No. 2 (2023)
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (230.311 KB) | DOI: 10.47353/satukata.v1i2.577

Abstract

Anemia is a disease related to the level of hemoglobin which is called red blood cells and causes a decrease in the level of oxygen that the body absorbs. Anemia is a disease that often occurs and occurs quite a lot in society. This study aims to determine the accuracy value of the certainty factor and forward chaining methods in an expert system for diagnosing anemia. This study designed an expert system by combining two methods, namely certainty factor and Android-based forward chaining. The use of the forward chaining method can make the system perform reasoning like an expert, then combine it with the certainty factor method with the aim that the system to be designed can measure the level of certainty of disease diagnosis. The results of this study are tests that have been carried out using 15 test data samples and produce a system accuracy value of 93.33%. Design using the certainty factor and forward chaining methods can work on expert systems in diagnosing anemia and shows the meaning that this system is feasible to use and is able to apply knowledge from experts to be able to diagnose anemia with a fairly accurate level.
Co-Authors A’yun, Qurrota Agung Nilogiri Al Faruq, Habibatul Azizah Al-Faruq, Habibatul Azizah Amiri, Yusril Izzi Arlisa Annisa Annisa Arniza, Rizqy Berliana Kusuma Riasti Dasuki, Moh. Dimas Anditha Cahyo Sujiwo Fahadaena, Rinaldi Nur Ginanjar Abdurrahman Gita Anesya Pebrianika Isnanda Denny Soggy Rachmad Krisna, Bayu Munawaroh, Sulistyowati Prasetyo, Ibnu Khoirul Qurrota A’yun Rafika Sari Yaslan Ramadhani, Calvin Bahtiar Setiawan, Ardhi Harry Ulya Anisatur Rosyidah