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All Journal Teknik: Jurnal Ilmu Teknik dan Informatika Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat)
Lidiya
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Humanities Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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Journal : Teknik: Jurnal Ilmu Teknik dan Informatika

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Analisis Feedback Pengguna Aplikasi Shopee Menggunakan Distribusi Proporsi dan Teknologi Informasi Dora Alvionita; Lidiya; Jadiaman Parhusip
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 1 (2025): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i1.602

Abstract

This research aims to analyze Shopee application user feedback using Google Colab-based information technology and a proportion distribution approach. The method used includes a Multinomial Naïve Bayes-based classification technique to categorize sentiment into positive and negative. The research results show that the model accuracy level is 90.84% ​​with an average precision for the positive and negative categories of 0.93 and 0.78 respectively. The statistical test produces a T-statistic value of 2759.50 with a p-value of 0.0, which shows significance in the difference in the distribution of positive and negative reviews.
Co-Authors Aris Sudianto Dora Alvionita Jadiaman Parhusip, Jadiaman Marcelina Ayu Vandini Nurhidayati Pungky Andriatama Rony Edward Utama Taupik Hidayat, Taupik