Prototype expert system using bayesian network for diagnose social illness

Rahmad Kurniawan, Afrizal M. Nur, Rado Yendra, Ahmad Fudholi

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The social illness has become main problem in Indonesia such as drug addiction, prostitution, game addiction, and so on. Based on Indonesian government, through its anti-drug agency, the National Narcotics Board (BNN) in 2015 the number of drug users are 5 million people. Drugs have caused for as many as 15,000 deaths each year in Indonesia. Peoples did not get information about social ills such as the types of drugs that have the same characteristics. As a largest Muslim country in the world may be reduce the social ills with the Islam approach. Recently, the integration of Islamic science and technology has become popular. At times the people get obstacles to get information and advice directly from expert and scholars in Islamic science. This paper is to develop a prototype expert system by providing prevention and best treatment based on Quran and Hadith. We use some of the data for knowledge base obtained from Selat Panjang, Riau. Based on the preliminary results, it has similar diagnoses with expert. A prototype expert system using Bayesian Network has been successful and capability for early diagnosing and educating the peoples in social ills cases based on Quran, Hadith and advice of experts but still has plenty room for improvement.

Original languageEnglish
Pages (from-to)338-344
Number of pages7
JournalJournal of Theoretical and Applied Information Technology
Volume93
Issue number2
Publication statusPublished - 30 Nov 2016

Fingerprint

Bayesian networks
Expert System
Bayesian Networks
Expert systems
Drugs
Prototype
Knowledge Base
Game

Keywords

  • Bayesian network
  • Expert system
  • Social illness

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Prototype expert system using bayesian network for diagnose social illness. / Kurniawan, Rahmad; Nur, Afrizal M.; Yendra, Rado; Fudholi, Ahmad.

In: Journal of Theoretical and Applied Information Technology, Vol. 93, No. 2, 30.11.2016, p. 338-344.

Research output: Contribution to journalArticle

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