JSAI (Journal Scientific and Applied Informatics)

Sentiment Analysis of the MPStore Application Using Logistic Regression and LDA Algorithms

Tia Arlin Dita — 2025-12-30

The rapid growth of the digital economy encourages user satisfaction as the key to successful application innovation. Within technopreneurship, understanding user sentiment is essential for sustainable product development. This study aims to analyze sentiment and identify the deter-minants of user satisfaction regarding the MPStore application based on reviews from the Google Play Store. Review data were collected via scraping and analyzed using Logistic Regression (LR) for sentiment classification (positive, negative, neutral) also Latent Dirichlet Al-location (LDA) for satisfaction topic extraction. The result shows that the LR model achieved an accuracy of 88.5%. The LDA analysis also successfully revealed eight main topics, includ-ing ease of use, transaction speed, and technical obstacles (errors, login, balance issues). Over-all, a majority of users hold a positive perception of MPStore's efficiency and ease of transac-tions. This study concludes that the combination of sentiment analysis and topic modeling is effective for explaining the level of user satisfaction and providing a strategic foundation for digital application developers.

Retrieval-Augmented Generation Method in the Development of Large Language Model Chatbots for the Anambas Civil Registry Public Information Service

Muhammad Habsyi Mubarak — 2025-12-30

Population administration services in the Anambas Islands Regency face significant challenges related to limited information access caused by geographical conditions. Service information on the official Disdukcapil website, which is passive, often makes it difficult for the public to obtain fast and relevant answers. This condition leads to service queue buildups and potentially decreases public satisfaction. As a solution, an intelligent chatbot application based on a Large Language Model (LLM) with a Retrieval-Augmented Generation (RAG) approach was developed. This method effectively combines precise information retrieval capabilities from a document database with the LLM's natural language understanding ability to produce contextual answers. The system's development process was carried out using the LangChain framework, Chroma vector store, and was integrated into a web interface as the frontend. Official Disdukcapil service information was processed through chunking, embedding, and RAG pipeline creation stages. The results showed that the chatbot was able to respond to inquiries about population services accurately and efficiently. Based on evaluations using the BERTScore metric, the system obtained average scores of 98,5% for Precision, 99,1% for Recall, and 98,8% for F1-Score. This system can be accessed from anywhere, greatly assisting people in remote areas, and serves as a potential initial prototype to support the digitization of public services in archipelago regions.

Information Technology, Social Media, and Digital Transformation on the Performance of Laundry MSMEs in Batam City

Surya Tjahyadi — 2025-12-30

This study examines the effects of information technology, social media, and digital transformation on the business performance of laundry MSMEs in Batam City using a quantitative associative approach. Data were collected from 94 owners or managers of laundry MSMEs through questionnaires and analyzed using IBM SPSS Statistics 25. Classical assumption tests indicated that the data were normally distributed and free from multicollinearity and heteroscedasticity. Simultaneous testing showed that information technology, social media, and digital transformation jointly have a significant effect on business performance (F = 4.588; p = 0.005). However, partial test results revealed that only social media has a positive and significant effect on business performance, while information technology and digital transformation do not show significant effects. These findings suggest that in small-scale service MSMEs, market-oriented digital tools are more effective in improving business performance than complex internal technology adoption.

Comparative Analysis of UI/UX of Online Transportation Booking Applications Using the System Usability Scale (SUS) and Heuristic Evaluation

Paisal — 2025-01-12

This study aims to analyze and compare the User Interface (UI) and User Experience (UX) of three online transportation applications in Palembang City, namely Gojek, Grab, and Maxim. The rapid growth of Indonesia’s online transportation industry, which reached 88.3 million users in 2024, highlights the importance of evaluating usability quality. Palembang has unique geographical characteristics, as the city is divided by the Musi River, creating specific challenges for app-based transportation services. The novelty of this study lies in the integration of the System Usability Scale (SUS) with Nielsen’s heuristic evaluation within an urban geographical context fragmented by natural barriers. A descriptive comparative approach was employed, involving 120 active users and three UI/UX expert evaluators. The results show that Gojek achieved the highest SUS score of 78.5 (Good), followed by Grab with 75.2 (Good) and Maxim with 68.7 (OK). One-Way ANOVA indicates significant differences among the applications (F = 12.847; p < 0.001). Theoretically, these findings demonstrate that an integrated usability evaluation approach provides a more comprehensive understanding of UI/UX quality in geographically specific contexts.

Development and Evaluation of the Usability of the Hadroh Instrument Marketing Website Using the System Usability Scale (SUS)

Danu Dwi Setiawan — 2025-01-12

The rapid growth of digital technology has encouraged micro, small, and medium enterprises (MSMEs) to adopt digital marketing strategies in order to remain competitive. This study aims to develop a marketing website for the Syekh Hadroh MSME and to evaluate the quality of the developed system in terms of functionality and usability. The research employed a Research and Development (R&D) approach with the Waterfall model as the system development method. Functional testing was conducted using Black Box Testing with the Equivalence Partitioning technique, while usability evaluation was performed using the System Usability Scale (SUS) involving 10 respondents. The results of Black Box testing indicate that all test scenarios were successfully executed with a success rate of 100%, demonstrating that the system functions according to the specified requirements. Furthermore, the SUS evaluation produced an average score of 73, which falls into the “good” usability category, indicating that the system is easy to use and well accepted by users. These results suggest that the developed marketing website is functionally reliable and usable, and therefore suitable for implementation as a digital marketing medium to support market expansion and improve service quality for MSMEs.

Analysis of the Effect of Conventional QRIS and ESB QRIS Use on Digital Payment Efficiency at BJ Restaurants in the Digital Age

Wishnu Aribowo Probonegoro — 2025-01-12

The development of digitalization has encouraged the adoption of cashless payment systems through the Quick Response Code Indonesian Standard (QRIS) in the culinary sector, including Rumah Makan BJ. This study aims to analyze the effect of Conventional QRIS and ESB QRIS on digital payment efficiency. This research employs a quantitative approach with a sample of 122 respondents. Data were collected through questionnaires and analyzed using SPSS version 17. The partial test results indicate that Conventional QRIS has a positive and significant effect on digital payment efficiency, with a t-value of 2.802 and a significance level of 0.006 (<0.05). ESB QRIS shows a stronger influence, with a t-value of 6.029 and a significance level of 0.000 (<0.05). Simultaneously, the ANOVA test shows an F-value of 57.155 with a significance of 0.000, indicating that both variables jointly have a significant effect on digital payment efficiency. The coefficient of determination (R²) of 0.405 indicates that 40.5% of the variation in digital payment efficiency is explained by QRIS usage. These findings are consistent with previous studies on integrated digital payment systems.