Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal JURIKOM (Jurnal Riset Komputer)
Ayuningsih, Devi
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Sistem Pakar Mendiagnosa Kerusakan Pada Mesin Penggilingan Padi Menggunakan Metode Naive Bayes Ayuningsih, Devi; Hasibuan, Nelly Astuti
JURIKOM (Jurnal Riset Komputer) Vol 5, No 4 (2018): Agustus 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v5i4.952

Abstract

A rice milling machine is a machine that is used to facilitate the work of farmers to separate rice grains from their skin while maintaining the quality of rice and minimizing the loss of yield that often occurs in the process of rice formation which is done manually to get quality production. Expert systems can be used to help people solve problems that are usually resolved by experts. The difficulty of the community in finding an expert or understanding experts causes expert systems to be needed by one of them in the industrial field. The limited knowledge in identifying damage that often occurs in rice milling machines often makes it difficult for machine users to repair. This system is built to predict damage to rice milling machines using the application of the Naive Bayes method. This method is able to be the solution to the above problems because Naive Bayes are able to predict opportunities in the past. This system is created by taking data from one of the rice refineries consisting of damage data, and the symptoms which will then be entered into the naïve Bayes formula, in order to find more accurate results.
Co-Authors Nelly Astuti Hasibuan