ANALISIS SENTIMEN PUBLIK TERHADAP DOMPET DIGITAL DI INDONESIA BERDASARKAN ULASAN PLATFORM X DAN GOOGLE PLAY STORE MENGGUNAKAN NAÏVE BAYES CLASSIFIER - Submit Jurnal

Salamah, Umi (2025) ANALISIS SENTIMEN PUBLIK TERHADAP DOMPET DIGITAL DI INDONESIA BERDASARKAN ULASAN PLATFORM X DAN GOOGLE PLAY STORE MENGGUNAKAN NAÏVE BAYES CLASSIFIER - Submit Jurnal. Bachelor thesis, Institut Teknologi Kalimantan.

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Abstract

Kemajuan teknologi digital mendorong peningkatan penggunaan layanan dompet digital di Indonesia. Penelitian ini bertujuan untuk menganalisis sentimen publik terhadap dompet digital seperti OVO, GoPay, Dana, dan ShopeePay berdasarkan ulasan pengguna di Platform X dan Google Play Store. Data yang dianalisis berjumlah sebanyak 64.530 komentar. Label sentimen ditentukan secara otomatis menggunakan pendekatan lexicon-based dengan kamus sentimen positif dan negatif. Tahap preprocessing mencakup cleaning, spelling normalization, tokenizing, stopword removal, dan stemming. Proses klasifikasi dilakukan menggunakan algoritma Multinomial Naïve Bayes, yang sesuai untuk data berupa frekuensi kata. Representasi fitur dilakukan dengan metode TF-IDF, dan performa model dievaluasi menggunakan metrik akurasi, precision, recall, dan F1-score. Hasil akurasi tiap e-wallet yang dihasilkan yaitu 74,8 % (GoPay), 74,4% (DANA), 73,6% (OVO), dan 77,2% (ShopeePay) menunjukkan bahwa model mampu mengklasifikasikan sentimen dengan cukup baik dan menggambarkan persepsi masyarakat terhadap masing-masing platform dompet digital. Penelitian ini diharapkan dapat memberikan masukan bagi pengembang layanan untuk memahami opini publik secara lebih mendalam.

Item Type:	Thesis (Bachelor)
Subjects:	H Social Sciences > HA Statistics Q Science > Q Science (General)
Divisions:	Jurusan Matematika dan Teknologi Informasi > Statistik
Depositing User:	Umi Salamah
Date Deposited:	07 Jul 2025 03:53
Last Modified:	07 Jul 2025 03:53
URI:	http://repository.itk.ac.id/id/eprint/22797

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