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Journal : JOINT (Journal of Information Technology

Analisis Metode Certainty Factor dalam Akomodasi Inexact Reasoning pada Sistem Pakar Diagnosa Penyakita Jantung desiani, anita; Lubis, Andika Cristian; Irmeilyana
Journal of Information Technology Vol 5 No 1 (2023): JOINT (Journal of Information Technology)
Publisher : LPPM STMIK AMIK BANDUNG

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Abstract

Heart is an important organ in the body that is useful as a blood pump with the aim of meeting the needs of oxygen and nutrients to the body. If the heart has impaired performance, blood flow in the body becomes abnormal and can lead to heart disease. The types of heart disease that commonly increase the death rate are coronary heart disease, heart valve disease, and heartbeat disorders (arrhythmia). In this case, there is a need for early detection in a complex manner through a high-accuracy system, namely an expert system. Expert systems contain detailed information about the disease being diagnosed. The Certainty Factor method is a certainty factor method that can overcome the uncertainty (inexact reasoning) of experts in making decisions based on disease symptoms and an interval scale of confidence in the symptoms given by system users. The application of the expert system begins with assembling a system involving the acquisition of knowledge sources explored from heart specialist experts. The analysis obtained on accommodating inexact reasoning on symptoms and the interval scale of the system user's confidence level for 5 test data based on the symptoms felt by the disease sufferer resulted in prediction accuracy for each type of heart disease where 90.46% coronary heart disease in the first test data, 80.76% arrhytmia in the second test data, 87.43% heart valve disease in the third test data, 93.12% coronary heart disease in the fourth test data, and 93.96% heart valve disease in the fifth test data. The application of the certainty factor method to the expert system produces appropriate prediction accuracy so that the expert system designed is effective for measuring certainty in diagnosis and it can be an alternative to early detection of several types of heart disease.
Co-Authors Affandi, Azhar Kholiq Agus lukowi Ajeng Islamia Putri albar Pratama Ali Amran Ali Amran Anasari Anasari Andini, T Anita Desiani Annisa Kartikasari Annisa Nabila, Annisa Arhami, Muhammad Arum Setiawan Arum Setiawan Bambang Suprihatin Bella Arisha Berry Gultom Cahyani, Kariah Ayu Cahyono, Endro Setyo Cahyono Calista, Nur Avisa Candra, Stefanie Fortunita Clarita Margo Uteh Danny Matthew Saputra Danny Matthew Saputra Derry Alamsyah Des Alwine Zayanti, Des Alwine Desty Rodiah Dwipurwani, O Endang Sri Kresnawati Enyta Yuniar Febriyanti, Indrike Ferani Eva Zulvia fildzah daniela, nyayu audy Fitra Nur Azizah Fitri Maya Puspita Hadi Tanuji Herlina Hanum Hermansyah Hermansyah Iffah Husniah Indah Amalia, Indah Indah Verdya Alvionita Indrawati Indrawati Indrawati Indri Andarini Ira Rayyani Juniwati Juniwati Kurnia, M Kahfi Aldi Lady Yulita Yulita Laila Hanum Lubis, Andika Cristian Makhalli, Siddiq Maya Meilensa Maya Meilensa Meiza Putri Lestari Mirza Denia Putri Muhammad Akbar Mukhlizar Nirwan Samsuri Mukhlizar Nirwan Samsuri Mutiara, Siti Rahma Muzayyadah, Fathona Nur Narti Narti, Narti Ngudiantoro . Ngudiantoro Ngudiantoro Ning Eliyati NUNI GOFAR Nur Avisa Calista Oky Sanjaya Putra B. J. Bangun Putra BJ Bangun Putra BJ Bangun Putri, Ajeng Islamia Putri, Rizki Eka Putri, Wine Zea Rahayu Tamy Agustin Ramadhan, Raihan Ramayanti, Indri Rana Sania Rana Sania Robinson Sitepu Sasongko, Muhammad Aditya Savera, Mutiara Siddiq Makhalli Simamora, Valentino Sri Indra Maiyanti Sri Indra Maiyanti Sugandi Yahdin Suratama, Bintang Syarifuddin, Fauzi Yusuf Yadi Utama Yuanita Windusari Yuli Andriani Yuli Andriani Yuniar, Enyta Z, Des Alwine Zubaidah R, Zubaidah