Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Vol 5, No 1 (2024): Edisi Januari

Analisis Sentimen Terkait Ulasan Pada Aplikasi PLN Mobile Menggunakan Metode Support Vector Machine

Hibatullah Faisal (Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta Timur, Indonesia)
Arafat Febriandirza (Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta Timur, Indonesia)
Firman Noor Hasan (Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta Timur, Indonesia)

Article Info

Publish Date
27 Jan 2024

Abstract

PLN's mobile applications have become an important part of modern society, providing easy and fast services. However, the user experience of these apps often reflects dynamic changes in the technology environment and user needs. Therefore, sentiment analysis of user reviews becomes very important to find out what users feel and how best to improve the application. This thesis uses the Support Vector Machine (SVM) method to perform sentiment analysis of PLN Mobile app user reviews. SVM is an effective algorithm in text classification based on sentiment. Through this study, it is expected that the analysis results can be used for improvement and enhancement of the PLN Mobile application, thus providing a better user experience.

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Journal Info
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Website

Abbrev

kesatria

Publisher

Sekolah Tinggi Ilmu Komputer Tunas Bangsa

Subject

Computer Science & IT Control & Systems Engineering

Description

KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) adalah sebuah jurnal peer-review secara online yang diterbitkan bertujuan sebagai sebuah forum penerbitan tingkat nasional di Indonesia bagi para peneliti, profesional, Mahasiswa dan praktisi dari industri dalam bidang Ilmu ...