I Made Pradnyananda Kevin Arnawa
Politeknik Negeri Bali

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Dashboard Analisis Sentimen Ulasan Google Maps Perguruan Tinggi di Bali Berbasis IndoBERT I Made Pradnyananda Kevin Arnawa; Putu Manik Prihatini; Yessi Aprilia Waluyo
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 2 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No2.pp535-542

Abstract

Public opinions shared on the Google Maps platform factually reflect the reputation and service quality of higher education institutions in Bali Province. However, manually analyzing thousands of reviews is time-consuming and potentially subjective. Therefore, this research focuses on developing a web-based system equipped with an interactive visual dashboard to computerize the categorization and comparison of review sentiments. The text classification process is built using the IndoBERT (Indonesian Bidirectional Encoder Representations from Transformers) deep learning architecture, which sorts opinions into positive or negative sentiments before presenting them on the web interface. Algorithm performance evaluation shows that IndoBERT is reliable, achieving an accuracy rate of 82.18% and a sensitivity (recall) of 91.90%. The modeling output is visualized dynamically through a dashboard, enabling institutions and prospective students to monitor campus sentiments more efficiently, objectively, and precisely.