Teks Mining untuk Klasifikasi Keluhan Masyarakat Menggunakan Algoritma Naive Bayes

Abstract

Handling public complaints of Probolinggo city, whose known as Laporo Rek , requires more time
to provide the report to the relevant office. Its caused by the administrators sometimes doesn't know
where the public complaints to addressed. Using nae bayes algorithm in Text Mining for Public
Complaints of Probolinggo city can help the administrators to work more effective and efficient. The
processing data of Public Complaints of Probolinggo city through several stage of text mining
which are token, filter, steaming and analyzing. After completed the stage, the data will be classified
using nae bayes algorithm. The nae bayes algorithm calculation will view the result of each
data class of Public Complaints of Probolinggo city, which is entered by phone, text message
complaints. The research using this method has resulted accuray 95%, it's means each public
complaints of Probolinggo city can be classified by each government agency in Probolinggo .