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All Journal Jurnal Jurusan Ilmu Keolahragaan Journal of Physical Education Health and Sport Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal JBMP (Jurnal Bisnis, Manajemen dan Perbankan) Kinestetik : Jurnal Ilmiah Pendidikan Jasmani JURNAL PENJAKORA TEGAR: Journal of Teaching Physical Education in Elementary School JURNAL ILMU KEOLAHRAGAAN Jurnal Performa Olahraga Journal of SPORT (Sport, Physical Education, Organization, Recreation, and Training) Jurnal PORKES Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Jurnal Pendidikan Jasmani (JPJ) Devotion: Journal of Research and Community Service Gladi : Jurnal Ilmu Keolahragaan Eduvest - Journal of Universal Studies Jurnal Inovasi Global Journal Of Sport Education, Coaching, And Health ACTIVE: Journal of Physical Education, Sport, Health and Recreation
Fauzi, Rizal Ahmad
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Aerospace Engineering Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Neuroscience Public Health Social Sciences Other

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Journal : Jurnal Inovasi Global

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Analisis Sentimen Pelanggan Terhadap Aplikasi Investasi di Indonesia Septiara, Felicia Penny; Fauzi, Rizal Ahmad
Jurnal Inovasi Global Vol. 3 No. 7 (2025): Jurnal Inovasi Global
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jig.v3i7.382

Abstract

This research evaluates user sentiment in reviews of five Indonesian investment applications - Bibit, Ajaib, Bareksa, Stockbit, and Pluang - using a machine learning approach. Data was collected from Google Play Store and analyzed using supervised learning algorithms including Naïve Bayes, SVM, Random Forest, XGBoost, LightGBM, as well as a Soft Voting ensemble method with TF-IDF feature representation. Evaluation was conducted through 10-Fold Cross-Validation using accuracy, precision, recall, and F1-score metrics. The results indicate that the Soft Voting model achieved the best performance, while logistic regression and SVM also demonstrated balanced performance. Overall, all applications received more positive reviews compared to neutral or negative ones. Ajaib stood out as the application with the most positive perception, both in terms of volume and sentiment dominance, while Bareksa faced challenges due to its high proportion of negative and neutral reviews. Bibit, Pluang, and Stockbit showed relatively balanced sentiment distributions, though they still need to address frequently reported technical issues. Reviews were generally written in casual language, suggesting that most users come from non-professional backgrounds. These findings imply that developers should strengthen advantages such as ease of use, speed, and relevant features while improving technical issues. A limitation of this study is that it only covers Indonesian-language reviews from a single platform, potentially overlooking perspectives from other platforms or languages. This research contributes to fintech studies, investment app UX development, comparison of ML models for Indonesian text analysis, and provides user complaint-based policy insights.
Co-Authors Adrian, Rio Ainun Nizar, Daffa Aldiansah, Rizal Alif, Muhammad Nur Alifah, Meilani Anindita Alya Rahmawati Andrian, Moch Anggaraeni, Lukytawati Anugrah, Rano Arvana Asy'ari, Fadli Adiya Ayu Agustina, Eka Ayudia, Trisa Bawazir, Ibnu Alif Deden Deden, Deden Destriansyah, Yuki Dukat Dukat Dwitama, Muhammad Fachri Erliza Noor Fadhilah, muhammad Yasin Firmansyah, Restu Dwi Fitri, Shafira Nabila Hamzah, Retria Mazni Haryati, Riska Herdiansyah, Sopyan Hery Widijanto Kurnia, Muhammad Arbi Lengkana, Anggi Setia Ma'mun, Amung Melinda, Meli Muhammad Lukman Hakim, Muhammad Lukman Nuryadi Nuryadi Pramana, Esa Rahmawati, Alya Ramadhan, Daffa Fadlamsyah Ramdani, Aria Riyadi, Afrizal Rizki Rizqi, Nauval Rukmana, Anin Rusnindar, Dera Saputra, Yudha Munajat Septiara, Felicia Penny Somantri, Dimas Sudrazat, Adang Suryani, Karina Syaefullah, Mohamad Alwi Syarif, Muhammad Fatiar Trias Andati Wahyudi, Aldi Wiji Lestari, Shabrina Windyaningsih, Mia Yuliansah, Latif