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All Journal Jurnal Media Infotama JUKI : Jurnal Komputer dan Informatika Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Digital Transformation Technology (Digitech) Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Jurnal Dehasen Mengabdi SATIN - Sains dan Teknologi Informasi
Nofi Qurniati
Universitas Dehasen Bengkulu
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Immunology & microbiology Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Metode Forward Chaining Pada Sistem Pakar Diagonis Penyakit Tanaman Tomat Prahasti Prahasti; Nofi Qurniati; Venny Novita Sari
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5833

Abstract

Agricultural extension workers need solutions to the various difficulties faced by tomato farmers with their tomato plants. The aim of this research is to produce an expert system application in diagnosing diseases in tomato plants as an effort to help the difficulties of agricultural instructors and tomato farmers regarding problems with tomato plants by utilizing information technology through the Visual Basic programming language with a MySQL database through prior definition by experts. The method used in the research is the waterfall model, meanwhile in creating the knowledge base expert system application used is the forward chaining method. The expert system application is created to produce data that is entered into the application consisting of symptom data, disease data, solution data, solution data, rule data, as well as diagnosis (consulation) data by farmers. The output from the application created produces diagnostic results for tomato plant diseases based on the symptoms entered and solutions to the diagnoses that have been made. The results of the research are that the expert system application created can be operated well with a knowledge base using the forward chaining method and rules as a knowledge base that are in accordance with the objectives
Expert System for Diagnosing Hepatitis Disease Using the Forward Chaining Method Yessi Mardiana; Devina Nino Sari; Nofi Qurniati
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.10408

Abstract

Hepatitis is a liver disease characterized by inflammation. Inflammation is indicated by elevated liver enzyme levels, which are caused by disruption or damage to the liver membrane. Given the significant negative impact of this disease, serious prevention and treatment of the dangers of hepatitis are necessary. Efforts to minimize these risks can be achieved by increasing public awareness of the factors that can cause hepatitis. Therefore, a system is needed that can serve as an alternative to consulting a doctor for the general public. The purpose of this research is to develop an expert system that can serve as an initial solution in the treatment of hepatitis. In its implementation, this expert system uses the forward chaining method. In this method, data is used to determine which rules will be executed to achieve a result. Based on the testing conducted, it can be concluded that this expert system application can be used by users for the early diagnosis of hepatitis
Co-Authors Adriyani Prawitasari Andre Pranata Annisa Putri Pratiwi Bagas Fauzan Desi Mahdalena Devina Nino Sari Dian Mardiati Sari Eko Prasetiyo Rohmawan Fredricka, Jhoanne Hendi Raden Wijaya Jhoanne Fredericka Juju Jumadi Jusuf Wahyudi Kanedi, Indra Kanedi Khairien Eka Putri Lena Elfianty M.Adhlan Alhawari Maryaningsih Maryaningsih Mirnawati Mirnawati Nia Ade DO Prahasti Ricky Zulfiandry Sallaby, Achmad Fikri Siswanto Siswanto Siti Sundari Suwarni Venny Novita Sari Wahyu Al Amar Yessi Mardiana Yoli Andi Rozzi