Analisis Sentimen Aplikasi Elektrokardiogram di Play Store Berbasis IndoBERT dan BERTopic

Authors

  • Muhammad Chairul Izzat Universitas Prima Indonesia
  • Daniel Parlindungan Simanjuntak Universitas Prima Indonesia
  • Fajar Michael Sanjaya Sianturi Universitas Prima Indonesia
  • Pianus Lase Universitas Prima Indonesia
  • Agung Prabowo Universitas Prima Indonesia

DOI:

https://doi.org/10.30865/json.v7i4.9767

Keywords:

analisis sentimen, topik modeling, IndoBERT, BERTopic, aplikasi EKG

Abstract

Perkembangan aplikasi kesehatan digital, khususnya aplikasi Elektrokardiogram (EKG), meningkatkan jumlah ulasan pengguna pada Google Play Store yang dapat dimanfaatkan sebagai sumber informasi untuk mengevaluasi kualitas aplikasi. Namun, ulasan pengguna bersifat tidak terstruktur sehingga sulit dianalisis secara manual. Penelitian ini bertujuan menganalisis sentimen dan mengidentifikasi topik utama pada ulasan pengguna aplikasi EKG menggunakan pendekatan Natural Language Processing (NLP). Metode yang digunakan adalah analisis sentimen dengan IndoBERT dan topic modeling dengan BERTopic. Dataset penelitian terdiri dari 1000 ulasan berbahasa Indonesia yang diperoleh melalui proses web scraping. Tahapan penelitian meliputi preprocessing, pembagian data latih dan uji, analisis sentimen, topic modeling, serta penyajian hasil dalam sistem informasi monitoring. Hasil penelitian menunjukkan bahwa model IndoBERT mampu melakukan klasifikasi sentimen dengan akurasi sebesar 72%, yang menunjukkan performa cukup baik, meskipun kemampuan klasifikasi pada sentimen negatif dan netral masih terbatas akibat ketidakseimbangan distribusi data. BERTopic berhasil mengidentifikasi topik utama, meliputi akurasi aplikasi, kemudahan penggunaan, serta kendala teknis seperti error dan masalah kamera. Integrasi kedua metode memberikan analisis yang lebih komprehensif karena mampu menunjukkan kecenderungan sentimen sekaligus isu utama yang dibahas pengguna. Hasil analisis divisualisasikan melalui sistem informasi monitoring sehingga dapat mendukung evaluasi aplikasi berbasis data.

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Published

2026-06-30

How to Cite

Izzat, M. C., Simanjuntak, D. P., Sianturi, F. M. S., Pianus Lase, & Prabowo, A. (2026). Analisis Sentimen Aplikasi Elektrokardiogram di Play Store Berbasis IndoBERT dan BERTopic. Jurnal Sistem Komputer Dan Informatika (JSON), 7(4), 1332–1340. https://doi.org/10.30865/json.v7i4.9767

Issue

Vol. 7 No. 4 (2026): Juni 2026

Section

Articles

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