OKTAL : Jurnal Ilmu Komputer dan Sains
Vol 1 No 06 (2022): OKTAL : Jurnal Ilmu Komputer Dan Sains

Analisis Layanan Pelanggan PT PLN Berdasarkan Media Sosial Twitter Dengan Menggunakan Metode Naïve Bayes Classifier

Tri Prasetyo Prast (Universitas Pamulang)
Hadi Zakaria (UNIVERSITAS PAMULANG)
Pandu Wiliantoro (UNIVERSITAS PAMULANG)



Article Info

Publish Date
30 Jun 2022

Abstract

Services for power and energy are currently still managed by a company from the State Electricity Company (PLN), which is one of the companies within the scope of State-Owned Enterprises (BUMN). Company PT. This PLN has the aim of serving the public interest and maintaining the quality and quality of power and energy itself. By being oriented to customer satisfaction, PT. PLN will always maintain quality so that the profits get bigger every time. Public opinion is divided into negative opinions containing public complaints, positive opinions containing community support, then neutral opinions containing reports or complaints from the public. The keywords used to capture public responses and opinions on PT PLN services in the web scraping process are using keywords, namely pln tangerang district", "pln tangerang city", "pln tangerang south", "pln banten. Based on research that has been done with sentiment analysis through the use of twitter based on tweets that have been carried out using the nave Bayes classifier method with more than 80% accuracy results.

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Journal Info

Abbrev

oktal

Publisher

Subject

Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

Description

1. Komputasi Lunak, 2. Sistem Cerdas Terdistribusi, Manajemen Basis Data, dan Pengambilan Informasi, 3. Komputasi evolusioner dan komputasi DNA/seluler/molekuler, 4. Deteksi kesalahan, 5. Sistem Energi Hijau dan Terbarukan, 6. Antarmuka Manusia, 7. Interaksi Manusia-Komputer, 8. Hibrida dan ...