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Menampilkan 1–3 dari 3 artikel
Analisis Sentimen Layanan Aplikasi Pendidikan Menggunakan Multinomial Naive Bayes
Journal of Informatics Education
Vol 9
, No 1
(2026)
The rapid development of educational technology has increased the use of e-learning applications such as Ruangguru, generating a large amount of user reviews on Google Play Store that can be utilized to evaluate service quality. This study aims to analyze the sentiment of Ruangguru user reviews using the Multinomial Naive Bayes algorithm. The research data consisted of 5,000 user reviews collected through web scraping techniques from Google Play Store. The data were processed through severa...
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Analisis Sentimen Ulasan Pengguna Layanan Publik Menggunakan Algoritma Naïve Bayes
Journal of Informatics Education
Vol 9
, No 1
(2026)
This study aims to analyze the sentiment of user reviews of the Super App Polri application on the Google Play Store using the TF-IDF feature extraction method and the Multinomial Naïve Bayes classification algorithm. Super App Polri is a digital service of the Indonesian National Police providing SIM, STNK, SKCK renewals, and public complaint services. Data were collected via web scraping of 3,500 user reviews. Preprocessing stages—cleansing, case folding, tokenizing, stopword removal, and stem...
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Nilai Heuristik dalam Sumpah Palapa Sebagai Spirit Ibu Kota Nusantara
Populer: Jurnal Penelitian Mahasiswa
Vol 2
, No 2
(2023)
This article aims to reveal the heuristic value of the palapa oath as the spirit of the Nusantara Capital, by emphasizing the historical aspect of how the oath was motivated and applied along with its achievements. This study is a heuristic setting, qualitative analysis, studying sources systematically one by one descriptively. The conclusion of the study: that the heuristic value in the palapa oath is the idea of knitting diversity within the framework of unity and equity in development and e...
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