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All Journal Jurnal Teknoin Jurnal Teknologi INFORMAL: Informatics Journal Proceeding SENDI_U Sebatik Jurnal Sisfokom (Sistem Informasi dan Komputer) AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT JMAI (Jurnal Multimedia & Artificial Intelligence) Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Sains dan Teknologi Journal Of Information System And Artificial Intelligence Jurnal Pengabdian Nasional (JPN) Indonesia
Agus Sidiq Purnomo
Universitas Mercu Buana Yogyakarta
Religion Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Journal : Journal Of Information System And Artificial Intelligence

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Sistem Pakar Diagnosa Penyakit Kulit Akibat Gigitan Serangga Menggunakan Teorema Bayes Bagas Irvan Bagaskara; Agus Sidiq Purnomo
Journal Of Information System And Artificial Intelligence Vol. 2 No. 1 (2021): Journal of Information System and Artificial Intelligence Vol II, No I November
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.952 KB) | DOI: 10.26486/jisai.v2i1.62

Abstract

This research was to design an expert system to diagnose skin diseases caused by insect bites using Bayes’ Theorem. Bayes' Theorem is a theorem used in statistics to calculate the probability of a hypothesis. The basis of the expert system knowledge is derived from the acquisition of doctors’ knowledge. This study used 25 data of medical records. The medical records were implemented into the system. The results of the system were matched with the experts to get the maximum matching number and a close identification result. Based on the 25 patient data tested against the experts and the system, the system could detect 4 types of skin diseases caused by insect bites, namely Scabies, Insect Bite, Atopic Dermatitis, and Prurigo Simplex. Of the 25 patients who had skin diseases caused by insect bites and had been matched with the experts’ validation, 21 of them matched and 4 did not match. The accuracy level of the system based on the results of the experts’ validation and the system was 84%.
Co-Authors Ade Fitriadin Alfian Romadhon Anief Fauzan Rozi Anief Fauzan Rozi Anief Fauzan Rozi Arif Wiji Setiyanto Arifi Zulaika Aris Susanto Bagas Irvan Bagaskara Berita Estu Widodo Dany Suktiawan Irman Fiano Emi Agustina Erlangga Samudera Kencana Fernando Bayu Andika Ficky Septian Ali Gita Prastianingrum Indah Susilawati Ismunu, R. Sumarwan Jevi Ariyanti M. Ridwan Nur Septian Mutaqin Akbar Muthia Gidriani Maelan Nadafi'ah Hari Fitri Natalia Anjela Sagat Nisriina Nuur Hasanah Octy Kartika Dewi Putri, Novita Anggraini Rahmandhita Fikri Sannawira Rahmandhita Fikri Sannawira, Rahmandhita Fikri Robi Adi Saputra Subardjo, Ratna Yunita Setiyani Supatman Supatman Widatin Mayasari Yasser Yazid Mohammad