Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 3 No 3 (2019): Maret 2019

Klasifikasi Teks Bahasa Indonesia Pada Dokumen Pengaduan SAMBAT Online Menggunakan Metode Naive Bayes dan Kombinasi Seleksi Fitur

Hilmy Khairi Idris (Fakultas Ilmu Komputer, Universitas Brawijaya)
Mochammad Ali Fauzi (Fakultas Ilmu Komputer, Universitas Brawijaya)
Indriati Indriati (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
10 Jan 2019

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.

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Journal Info

Abbrev

j-ptiik

Publisher

Subject

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

Description

Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian ...