JURIKOM (Jurnal Riset Komputer)
Vol 6, No 5 (2019): Oktober 2019

Analisis Perbandingan Rule Pakar dan Decision Tree J48 Dalam Menentukan Jumlah Produksi Kain Tenun Menggunakan Metode Fuzzy Tsukamoto

Tundo Amri Mujahid (UIN SUNAN KALIJAGA YOGYAKARTA)
Enny itje Sela (Universitas Teknologi Yogyakarta)



Article Info

Publish Date
22 Nov 2019

Abstract

This study explains the comparative analysis of expert rules and J48 decision tree using Tsukamoto fuzzy in determining the amount of woven fabric production. From the results of the research analysis, it was found that the rule base model in this study was a decision tree with 83.3333% accuracy based on the J48 decision tree algorithm that was tested using WEKA tools. The results of direct comparison analysis with actual production data that J48 decision tree rule is the closest to the actual data is with an error rate of 3.89% so that the accuracy of the truth reaches 96.11%, while using expert rules has an error rate of 14.45% so that the accuracy truth obtained reached 85.55%. Therefore, an idea was found that to make a rule without having to consult with experts, that is enough to use a decision tree with WEKA tools, because WEKA tools will display the accuracy of the truth of the rules formed.

Copyrights © 2019






Journal Info

Abbrev

jurikom

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

JURIKOM (Jurnal Riset Komputer) membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. Topik utama yang ...