Klasifikasi Penanganan Keluhan Masyarakat Kota Probolinggo Menggunakan Algoritma Naïve Bayes

Ariyanti, Dyah (2020) Klasifikasi Penanganan Keluhan Masyarakat Kota Probolinggo Menggunakan Algoritma Naïve Bayes. J-Sakti.

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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 naïve 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 naïve bayes algorithm. The naïve 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.

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