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All Journal Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Informasi dan Teknologi
Subrianto Chandra
Universitas Putra Indonesia YPTK Padang
Computer Science & IT

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Sistem Pakar Menggunakan Metode Certainty Factor untuk Estetika Kulit Wanita dalam Menjaga Kesehatan Subrianto Chandra; Yuhandri Yunus; Sumijan Sumijan
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i4.70

Abstract

The skin is an important organ located on the outside of the human body that needs to be kept healthy. Good skin health will certainly increase self-confidence, especially for women. Lack of information about diseases and treatment solutions and the small number of professional estheticians means that women end up not consulting when skin problems arise. If left untreated, skin problems will be more serious. The purpose of this study was to identify the accuracy of skin problems in women so that a solution in caring for the skin was obtained. The data processed in this study are the results of an interview from an aesthetic doctor about skin problems in women and the solutions and symptoms experienced by patients. Then the data obtained manually were processed using the Certainty Factor method and tested with a website-based system. The processing stage of this method is the compilation of symptoms into rules, giving weight values ​​for each symptom and calculating based on the Certainty Factor rule formula. The results of testing this method were 13 data on aesthetic skin diseases identified from 15 trial data. So that the level of accuracy is 86.67%. The results of this test have been able to identify well. The Certainty Factor method used can identify quite specifically and can be recommended to skin aesthetic doctors in increasing accuracy for identifying skin problems in women.
Expert System For Diagnosing Hemophilia In Children Using Case Based Reasoning Subrianto Chandra; Sumijan Sumijan; Eka Praja Wiyata Mandala
Indonesian Journal of Artificial Intelligence and Data Mining Vol 2, No 1 (2019): March 2019
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v2i1.6681

Abstract

Many people who have children do not know about hemophilia, because this disease is one of the rare diseases. Hemophilia is a genetic disorder in the blood caused by a lack of blood clotting factors. Therefore there is a need for information for the public to be able to find out about this disease, so that when there is an unnatural bleeding, early treatment can be done properly.Therefore an expert system was designed to diagnose early hemophilia in children.The method used in this expert system is the Case Based Reasoning method. The Case Based Reasoning method is a method used to solve a new case by adapting the symptoms found in previous cases that are similar to the new case.This expert system can provide solutions / early prevention of the diagnostic process carried out. Expert system applications are designed based on websites using the PHP programming language.
Co-Authors Eka Praja Wiyata Mandala Sumijan Sumijan Yuhandri Yuhandri