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All Journal Jurnal Serambi Engineering
Munazat Salmin
Prodi Teknik Informatika, Fakultas Teknik, Universitas Khairun, Maluku Utara
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Environmental Science

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Penggunaan Algoritma Nearest Neighbor Pada Sistem Penalaran Berbasis Kasus Untuk Diagnosis Penyakit ISPA Miswar Papuangan; Munazat Salmin
Jurnal Serambi Engineering Vol 5, No 1 (2020)
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v5i1.1739

Abstract

Acute Respiratory Infection  is defined as an acute respiratory disease caused by an infectious agent that is transmitted from human to human. Symptoms include shortness of breath, difficulty breathing, sore throat, fever, wheezing, runny nose, and cough. This research implements CBR to help diagnose ARI. The diagnosis process is done by entering a new problem that contains the symptoms and risk factors that will be diagnosed in the system. The normalized nearest neighbor method with expert confidence is used to calculate the similarity between new problems and cases stored on a case basis. The results of testing the system using 112 case data with 78 case stored in a case base and 34 data used as new cases data, the system has identified four types of ARI disease with a system performance measurement 97.06%.
Co-Authors Miswar Papuangan