Expert System for Diagnosing Human Skin Diseases Using Web-Based Naïve Bayes Method Sistem Pakar Diagnosis Penyakit Kulit Manusia Menggunakan Metode Naïve Bayes Berbasis Web
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Abstract
Skin disease is a disease that often found in tropical countries like Indonesia. According to the survey, skin disease is the third of the ten most outpatient diseases. Lack of public knowledge about skin diseases and how to prevent and treat them can cause a person to develop acute skin diseases. The purpose of this research is to create an expert system application for diagnosis of human skin diseases using the web-based naïve Bayes method. With expert system, it hoped that human skin diseases can be detected early and can minimize the occurrence of more dangerous diseases. The calculation in this expert system uses the naïve Bayes method. This expert system makes diagnosis by analyzing input of symptoms experienced by patient and then processing it using certain rules according the expert knowledge that has been stored in the knowledge base. The result of this research is to build an expert system for diagnosing human skin diseases using website-based naïve Bayes. The results of the system trial of 20 respondents were the website could provide diagnosis results based on the inputted rules and could diagnose skin diseases properly. This website can used as an alternative use of technology so it can be used to diagnose skin diseases quickly, precisely and accurately. So in the future the handling of skin diseases can be faster and more efficient.
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[2] Daili, Ess, Sl Menaldi, and Im Wisnu. 2005. “Penyakit Kulit Yang Umum Di Indonesia.” Jakarta Pusat: Pt Medical Multimedia Indonesia Kramat …, 66–67.
[3] Candra Dewi, Indriana, Arief Andy Soebroto, and Muhammad Tanzil Furqon. 2015. “Sistem Pakar Diagnosa Penyakit Sapi Potong Dengan Metode Naive Bayes.” Journal of Enviromental Engineering and Sustainable Technology 2 (2): 72–78. https://doi.org/10.21776/ub.jeest.2015.002.02.2.
[4] Ramadhan, Kurnia, I Gede Pasek Suta Wijaya, and Moh.Ali Albar. n.d. “Sistem Pakar Diagnosa Penyakit Kulit Berbasis Website Menggunakan Metode Naive Bayes ( Web Based Expert System For Diagnostic Skin Disease Using Naive Bayes Method ).”
[5] Aditya Nugroho, Praditio, Ristu Saptono, and Meiyanto Eko Sulistyo. 2016. “Perbandingan Metode Probabilistik Naive Bayesian Classifier Dan Jaringan Syaraf Tiruan Learning Vector Quantization Dalam Kasus Klasifikasi Penyakit Kandungan.” Jurnal Teknologi & Informasi ITSmart 2 (2): 21. https://doi.org/10.20961/its.v2i2.628.
[6] Setiawan, Wahyudi, and Sofie Ratnasari. 2015. “Sistem Pakar Diagnosis Penyakit Mata Menggunakan Naïve Bayes.” Conference Paper, no. November 2014: 1–6.
[7] Widiyawati, Cerly, and Mohammad Imron. 2018. “Sistem Pakar Diagnosa Penyakit Pada Kucing Menggunakan Metode Naive Bayes Classifier.” Techno.Com 17 (2): 134–44. https://doi.org/10.33633/tc.v17i2.1625.
[8] Ilyas, I. 2016. “Sistem Pakar Diagnosa Penyakit Dan Relasionalitas Obat Apotek Amor.” http://repositori.uin-alauddin.ac.id/2907/.
[9] Ikhlaashi, Sofiyah, and Hanson Prihantoro Putro. 2019. “Komparasi Dua Teknik Black Box Testing: Equivalence Partitioning Dan Boundary Value Analysis.” Annual Research Seminar (ARS) 2019 5 (1): 213–20.
[10] Munthe, Rouli, Paulus Insap Santosa, and Ridi Ferdiana. 2015. “Usulan Metode Evaluasi User Acceptance Testing (UAT) Dalam Pengembangan Perangkat Lunak.” Prosiding Seminar Nasional Pendidikan Teknik Informatika, no. September: 3. http://pti.undiksha.ac.id/senapati.