Published: 2024-10-01

Sentimen Analisis dengan Long Short-Term Memory dan Synthetic Minority Over Sampling Technic Pada Aplikasi Digital Perbankan

DOI: 10.35870/jtik.v8i4.2320

Ali Ahmad, Windu Gata, Supriadi Panggabean
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Abstract

In recent years, we have witnessed significant growth in digital banking transactions, supported by technological advancements. According to the latest data from the FinTech Association of Indonesia, digital banking transactions in Indonesia have increased by 35% from the previous year. In this context, the development of digital banking applications becomes increasingly important. However, to ensure the quality and success of these applications, feedback from users is crucial. One technique used by banks is sentiment analysis to gather feedback on their digital applications. This research aims to analyze user sentiment for two banking applications, DbankPro and M-BCA, through reviews on the Google Playstore. The method used is CRISP-DM, implementing the "Imbalance Data Handling with SMOTE" technique and LSTM model. The test results show the accuracy of sentiment analysis for M-BCA is 91.07%, while for DbankPro it is 89.82%. The implications of this research emphasize the importance of paying attention to user feedback in the development of digital banking applications to enhance their quality and meet user expectations

Keywords

Sentiment Analysys ; Text Mining ; LSTM ; Class Imbalance

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Ahmad, A., Gata, W., & Panggabean, S. (2024). Sentimen Analisis dengan Long Short-Term Memory dan Synthetic Minority Over Sampling Technic Pada Aplikasi Digital Perbankan. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 8(4), 973-984. https://doi.org/10.35870/jtik.v8i4.2320
Article Information

This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 8 No. 4 (2024)

  • Section: Computer & Communication Science

  • Published: %750 %e, %2024

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Author Biographies
Ali Ahmad
Google Scholar ResearchGate ORCID

Program Studi Ilmu Komputer, Fakultas Ilmu Komputer, Universitas Nusa Mandiri, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta, Indonesia

Windu Gata
Google Scholar ResearchGate ORCID

Program Studi Ilmu Komputer, Fakultas Ilmu Komputer, Universitas Nusa Mandiri, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta, Indonesia

Supriadi Panggabean
Google Scholar ResearchGate ORCID

Program Studi Ilmu Komputer, Fakultas Ilmu Komputer, Universitas Nusa Mandiri, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta, Indonesia

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