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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Impresi Indonesia Jurnal Locus Penelitian dan Pengabdian
Ramadiah, Amanah
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Religion Aerospace Engineering Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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User Review Analysis of the BNI Wondr Mobile Banking Application: Systematic Literature Review Mubina, Basma Fathan; Halim, Dicky; Budi, Indra; Ramadiah, Amanah; Putra, Prabu Kresna; santoso, Aris budi
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 8 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i8.4541

Abstract

In the digital age, mobile banking has become essential for facilitating efficient financial transactions, with the Wondr mobile banking application from Bank Negara Indonesia (BNI) emerging as a significant innovation in this sector. Designed to provide a secure and user-friendly experience, Wondr aims to meet the diverse needs of its customers. However, to enhance its service and ensure user satisfaction, BNI must actively engage with customer feedback. This study leverages user reviews from platforms like Google Play Store to gain insights into the strengths and weaknesses of the Wondr application. Employing text analysis techniques, we utilise topic modeling through Latent Dirichlet Allocation (LDA) to extract relevant themes from these reviews to identify key areas for improvement and generate targeted recommendations. The findings of this research are intended to inform the ongoing development of the Wondr application, ultimately enhancing user experience and reinforcing BNI’s position within the digital banking landscape.
Exploring the influence of soft information from economic news on exchange rate and gold price movements Prastowo, Rahardito Dio; Budi, Indra; Ramadiah, Amanah; Santoso, Aris Budi; Putra, Prabu Kresna
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i6.pp5231-5239

Abstract

Information on business conditions is an important concern for market players and regulators. Hard information relates to easily validated characteristics such as production levels and employment conditions. In contrast, soft information such as consumer and public perceptions—is subjective and difficult to verify. Although previous studies on hard and soft information mainly focus on microeconomics and banking, current developments in big data and machine learning enable broader applications in financial market analysis. This study combined VADER sentiment analysis and support vector machine (SVM) classification (accuracy=85%) to analyze economic news, followed by Granger causality and multiple linear regression to examine causal effects and predictive relationships. The findings reveal that negative news sentiment and the Indonesian Rupiah (IDR) exchange rate influence each other, while positive sentiment has no causal impact on the exchange rate. Both negative and positive sentiments affect gold prices, whereas gold price movements do not influence sentiment. Regression analysis shows that negative sentiment has a stronger effect in decreasing the IDR exchange rate than positive sentiment, with the model explaining approximately 20% of the variance. Integrating sentiment and exchange rate data enhances the predictive model for gold price forecasting and highlights the asymmetric roles of positive and negative news in financial dynamics.
Aspect-Based Sentiment Analysis In The Asean Tourism Sector: A Systematic Literature Review Arnandy, Jovi; Budi, Indra; Ramadiah, Amanah; Putra, Prabu Kresna; Santoso, Aris Budi
Jurnal Impresi Indonesia Vol. 4 No. 11 (2025): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i11.7228

Abstract

Online reviews are becoming increasingly important for assessing tourist satisfaction, and although aspect-based sentiment analysis (ABSA) can offer in-depth insights, its use in the ASEAN tourism sector is still largely unexamined. Problem: This gap highlights a significant research issue, as there is insufficient knowledge re-garding the present condition, obstacles, and particular possibilities for applying advanced sentiment analysis methods in this distinctive, multicultural area . Objectives: The main aim of this study is to methodically identify worldwide research trends, highlight gaps, and describe the challenges of utilizing ABSA in the tour-ism industry, concentrating on their effects on ASEAN . Methods Used: To accomplish this, a systematic literature review (SLR) was performed on 61 chosen articles following the PRISMA methodology. Re-sults: The findings indicate a notable research gap marked by a narrow emphasis on the ASEAN region and the application of less sophisticated methods in current studies; the main challenges recognized include the varie-ty of languages, cultural differences, and a lack of datasets in local languages . Conclusion & Solution Offered: This organized review of literature concludes by providing suggestions for a plan-based approach that allows the region to use online reviews to improve its tourism competitiveness, emphasizing the necessity of creating local data resources, encouraging cooperation among different fields, and using data-driven tools to support small businesses .
Co-Authors Arnandy, Jovi Budi, Indra Halim, Dicky Mubina, Basma Fathan Prabu Kresna Putra, Prabu Kresna Prastowo, Rahardito Dio Santoso, Aris Budi