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Topic Modeling Analysis of I.Saku on the Play Store using Latent Dirichlet Allocation Zahra, Aulya Dialira; Alam , Syamsu; Ruslan , Andi
AJAR Vol. 8 No. 02 (2025): Atma Jaya Accounting Research (AJAR)
Publisher : Magister Akuntansi - Universitas Atma Jaya Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35129/bzh27s35

Abstract

The development of digital wallets in Indonesia shows a rapid growth trend; however, not all applications can maintain user loyalty, including i.Saku, which has received a low rating on the Google Play Store. This study aims to identify the key factors shaping user reviews of the i.Saku application and to formulate service improvement recommendations based on those reviews. The method used is topic modelling with the Latent Dirichlet Allocation (LDA) algorithm applied to 3,000 user reviews from scraping the Play Store. Evaluation was conducted using coherence scores to determine the optimal number of topics, resulting in four main themes: (1) balance issues and customer service response, (2) transaction convenience and core features, (3) PIN and account access problems, and (4) login and verification obstacles. The analysis reveals that most negative reviews are related to technical issues and customer service, while positive reviews are dominated by ease of transaction. This study provides valuable insights for i.Saku developers to prioritize service improvements based on dominant issues identified in user reviews.
Empirical analysis of the impact of monetary policy through interest rates on economic growth in Indonesia Hamzah, Muh. Qardawi; Ruslan , Andi; Ashari, Ihsan
Priviet Social Sciences Journal Vol. 6 No. 2 (2026): February 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v6i2.851

Abstract

This study investigates how inflation and monetary policy, as reflected in the policy interest rate (BI Rate), affect Indonesia's economic growth, as indicated by the GDP. Multiple linear regression analysis was employed to discover connections between independent and dependent variables in an economic setting. The analysis's findings indicate that neither the BI Rate nor inflation significantly affects GDP growth. Although not sufficiently strong to be regarded as statistically significant, the positive coefficients derived from both variables show a propensity for increases in inflation and policy interest rates to enhance economic growth. The significance of the interaction between the two variables in monetary policy is confirmed by simultaneous analysis, which reveals that both inflation and the BI Rate significantly contribute to GDP variance when examined together. These results suggest that monetary policy must work in tandem with fiscal policy and the real sector, as well as be adaptively managed to respond to changes in the global economy to effectively stimulate economic growth in Indonesia [2]. This study is anticipated to significantly aid policymakers in developing more potent plans to accomplish sustainable growth and national economic stability.