Analisis Sentimen Tingkat Kepuasan Pengguna Vidio dan Loklok Berdasarkan Rating dan Ulasan di Google Play Store Menggunakan Naive Bayes

Stani .A. Sinay, - and Choerun Asnawi, - (2025) Analisis Sentimen Tingkat Kepuasan Pengguna Vidio dan Loklok Berdasarkan Rating dan Ulasan di Google Play Store Menggunakan Naive Bayes. Diploma thesis, Universitas Jenderal Achmad Yani Yogyakarta.

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Official URL: https://library.unjaya.ac.id

Abstract

Latar Belakang: Vidio dan Loklok adalah platform hiburan populer di indonesia. Namun, banyak ulasan negatif dan rating rendah di Google Play Store, menunjukkan ketidaksesuaian antara rating dan isi ulasan. Analisis sentimen diperlukan untuk memahami persepsi pengguna.
Tujuan: Mengklasifikasikan ulasan Vidio dan Loklok kedalam sentimen sentimen positif dan negatif serta mengukur akurasi algoritma Naive Bayes.
Metode Penelitian: Sebanyak 1.000 ulasan (500 per aplikasi). Dikumpulkan melalui web scraping, diproses (cleaning, filtering, stemming, tokenizing), dilabeli manual, dan dianalisis menggunakan Naive Bayes. Evaluasi mencakup akurasi, presisi, recall, dan F1-score
Hasil: Sebagian besar ulasan negatif 86,7% (Vidio), 73,3%(Loklok). Akurasi 91%(Vidio), 86%(Loklok). Precision 0,42(Vidio), 0,09%(Loklok). Terdapat 17 dan 32 mismatch antara rating tinggi dan negatif.
Kesimpulan: Analisis sentimen lebih mencerminkan persepsi pengguna dibanding rating. Naive Bayes efektif, terutama untuk Loklok.

Item Type:	Thesis (Diploma)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science (Informatics)
Divisions:	Faculty of Engineering, Science, Computer, and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Tiara DP
Date Deposited:	13 Jul 2026 15:34
Last Modified:	13 Jul 2026 15:34
URI:	https:///id/eprint/6517

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