Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Hilmy Khairi Idris
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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

Found 1 Documents
Search

 1 
Klasifikasi Teks Bahasa Indonesia Pada Dokumen Pengaduan SAMBAT Online Menggunakan Metode Naive Bayes dan Kombinasi Seleksi Fitur Hilmy Khairi Idris; Mochammad Ali Fauzi; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (323.132 KB)

Abstract

SAMBAT Online is a form of e-Government realization in Malang City. SAMBAT Online or The Integrated Online Community Application System is a platform of a website provided by the Malang City Government to receive complaints, criticisms, suggestions, or questions to the government. Each incoming report will be grouped manually by the SAMBAT Online system manager. Grouping is based on The Regional Work Unit (SKPD) which is handled manually. Therefore, a classification system was built to save time in the process of grouping reports to SKPD using the Naive Bayes method and the Combination of Feature Selection between Chi-Square and Information Gain. In the tests conducted, the system succeeded in providing better accuracy results when using feature selection than without using feature selection with an accuracy value of 83.33%. Furthermore, when a feature selection combination is performed, the results of the accuracy obtained are the same as the results without a combination of 83.33%. So, the combination of selection has not been able to provide better results.
Co-Authors Indriati Indriati M. Ali Fauzi