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All Journal Jurnal Computech & Bisnis (e-Journal) Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Naratif : Jurnal Nasional Riset, Aplikasi dan Teknik Informatika Journal of Innovation Research and Knowledge Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Jurnal Ilmu Komputer dan Sistem Informasi
Hendi Suhendi
Universitas Adhirajasa Reswara Sanjaya
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Perancangan Sistem Pakar Mendiagnosa Anemia Menggunakan Metode Fuzzy Mamdani Yusuf Supriadi; Hendi Suhendi
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 3 No. 2 (2025): April : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v3i2.2246

Abstract

Anemia is a condition of reduced red blood cells in the body lower than the normal amount, or what is commonly referred to as erythrocytes in the blood circulation or hemoglobin so that it is unable to fulfill its function as an oxygen carrier to all body tissues. An expert system is a system designed to mimic the experience of an expert in answering questions and solving problems. By using an expert system, a non-expert can solve problems and make decisions that would normally be made by an expert. Expert systems are now being developed in various fields, expert systems in the health sector are widely developed to detect various diseases with various methods. The fuzzy mamdani method is a method that is also often known as the MAX-MIN or MAX-PRODUCT method. The fuzzy mamdani method can help users in terms of detecting diseases based on symptoms that arise and lifestyle and provide diagnostic results for further action. Based on the description above, it can be seen that the fuzzy method is one method that has been widely used in software development for the diagnosis of a disease. Modeling this expert system to determine anemia based on the symptoms felt by patients.
Co-Authors Adi Suparwo Andi Supriadi Ardiansyah Dwi Ariyandi Fadhli Umar Ali Givy Devira Ramady Harya Gusdevi Indra Nurdiyana Ismail Saleh Ismail Saleh Ivan Sofyan Jaler Yudha Prasetyo Mayya Nurbayanti Shobary Miftah Fahmi Miftah Fahmi Muhamad Agung Sedayu, Muhamad Agung Ogi Rahmansyah Riki Saputro Rizal Nugraha Rizal Rachman, Rizal Syarif Hidayatulloh Toni Arifin Wahyu Dwi Cahyo Wira Wardana Yusuf Supriadi