DOI: https://doi.org/10.14710/jtsiskom.5.2.2017.84-89

Aplikasi Sistem Pakar Berbasis Mobile Untuk Diagnosis Dini Meningitis

Mobile Application of Expert System for Meningitis Early Diagnosis

*Mona Pradipta Hardiyanti  -  Department of Computer Engineering, Universitas Diponegoro, Indonesia
R. Rizal Isnanto  -  Department of Computer Engineering, Universitas Diponegoro, Indonesia
Ike Pertiwi Windasari  -  Department of Computer Engineering, Universitas Diponegoro, Indonesia
Received: 7 Feb 2017; Published: 30 Apr 2017.
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Open Access Copyright (c) 2017 Jurnal Teknologi dan Sistem Komputer under http://creativecommons.org/licenses/by-sa/4.0.

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Abstract

In Indonesia, cases of meningitis happen quite a lot because meningitis patients are not aware that he was infected with meningitis. This is because the early symptoms resemble regular headaches. Lack of community information about a disease and its symptoms and causes make the process of treatment is slow so it can make the disease worse and fatal. This research is devoted to makes of meningitis expert system that can be used by the public to solve the problem. This expert system is developed using Expert System Development Life Cycle (ESDLC). The steps to create an expert system using this method are assessment, acquisition of knowledge, design, and testing. This application tested using black box testing methods and directly testing by an expert. Based on test results showed a qualitative testing that system there is no error of its functions. Application of expert system can make the process of diagnosis according to the data obtained from the experts. For renew of disease and symptoms, it can be done by modifying the database.

Keywords: meningitis detection;expert system; forward chaining

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Last update: 2021-01-18 14:48:50

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Last update: 2021-01-18 14:48:51

  1. An Expert System for Diagnosis of Rheumatic Disease Types Using Forward Chaining Inference and Certainty Factor Method

    Hairani, Mokhammad Nurkholis Abdillah, Muhammad Innuddin. 2019 International Conference on Sustainable Information Engineering and Technology (SIET), 2019. doi: 10.1109/SIET48054.2019.8986035
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