Journal of Multimedia Trend and Technology

Implementation of Business Intelligence for Population Data Analysis and Visualization in Central Java Province Using the Tableau Platform

R M. Fikriyadi Maulana — 2025-12-27

In Indonesia, especially Central Java Province, population growth continues to increase every year. Data regarding population growth in Central Java Province is an important factor as a basis for calculating decision-making based on the visualization results of the data. The purpose of this study is to visualize population growth data from 2020 to 2022 in Central Java Province by implementing a business intelligence system to display the results of the development of population growth that has been recorded from 2020 to 2022 in Central Java Province. The method is to process the population dataset in Central Java Province using Tableau using the ETL (Extract, Transform, Load) method. The results are in the form of a report in the form of a dashboard visualization, such as total population data, the number of population growth by year and Regency in Central Java Province that can be used to support decision-making. The display of data generated from the analysis results will be visualized with an interactive dashboard with Tableau for easy understanding.

Effectiveness of QRIS Implementation in Supporting Digital Transactions for MSMEs

Fadli Bachtiar — 2025-12-27

This study evaluates the effectiveness of QRIS implementation for MSMEs by examining its impact on transaction efficiency, business growth, financial transparency, customer adoption, and challenges encountered. Data were gathered using structured questionnaires and analyzed using descriptive statistics as part of a quantitative descriptive approach. The results show that QRIS positively impacts MSME performance. More than 90% of respondents believed that QRIS enables digital payments, and 61.3% of respondents embraced QRIS primarily for transaction simplicity. In terms of company success, 80.7% of respondents said that the number of transactions increased, with 35.5% reporting notable increases and 45.2% reporting just modest gains. With 96.8% of respondents saying that QRIS helps or substantially helps with transaction recording, it also promotes financial transparency. Given that 48.4% of their consumers noted that only 40–70% of them utilize QRIS, the frequency of consumer use remains moderate. Notwithstanding the advantages, a number of obstacles still exist, such as erratic internet connections (35.5%), a lack of consumer adaptation (22.6%), technical malfunctions (16.1%), and worries about Merchant Discount Rate (MDR) costs, which over half of MSMEs said were onerous. In conclusion, QRIS has proven effective in supporting MSMEs' digital transformation, yet improvements in infrastructure, customer education, and fee structures are required to maximize its impact.

Digital Vital Signs: Decision Trees as Behavioral Tripwires for Adolescent Smartphone Overuse

Sulthon Fadhlun Nafi — 2025-12-27

Smartphones are a double-edged sword for teenagers; on the one hand, these devices provide a window to vast knowledge. However, the dark side of smartphones emerges when uncontrolled use is linked to mental health and exposure to negative content. Problematic smartphone use (PSU) occurs in 12–37% of adolescents and has been associated with sleep disturbances, depressive symptoms, and deterioration in academic functioning. Methods: We have trained an interpretable decision tree over a 1,000-participant dataset using stratified 80:20 splitting, class balancing, one-hot encoding, and grid search using cross-validation. Results: The model achieved 85.2% test accuracy (CV mean 85.0% ± 1.5%). Primary predictors were screen time per day (risk for >5.3 h/day associated with 4.3× increased risk), social media exposure (more than >2 h/day), and app variety (more than >5 apps/day). Extractable rules (e.g., >6.5 h screen time ∧ >2 h social media 92% precision for "high" addiction) permit tiered intervention thresholds. Conclusions: An interpretable decision tree provides strong prediction and converts insights into actionable behavioral thresholds for parents, schools, and developers for the purpose of early PSU intervention.

User Interface Design for Discrepancy-Simple Additive Weighting Evaluation Instrument

I Made Sugiarta — 2025-12-27

In an effort to make it easier for users to understand how DSS-based instruments function without having to run the actual application, a user interface design is required. The purpose of this study was to show the quality of the user interface design of the Discrepancy-SAW evaluation instrument. The research approach used the R&D development model, which focuses on three stages of development. The three stages were design creation, initial design trial, and revision of the initial design trial. The subjects involved in the initial trial of the user interface design were 40 respondents. The trial tool was a questionnaire consisting of 10 questions related to the user interface design. Analysis of the trial data was carried out by comparing the percentage of user interface design quality with quality standards that refer to the eleven-scale categorization. The results of this study show the quality of the user interface design of the Discrepancy-SAW evaluation instrument in the good quality category by a quality percentage of 83.38%. The impact of the results of this study is that stakeholders in the field of education gain knowledge about the existence of the user interface design of the Discrepancy-SAW evaluation instrument. It is appropriate for use in determining the dominant factors that trigger inequality in the lecture process in the research methodology course.

Analysis of Factors Affecting Student Interest in Using Mobile Banking

Novita Dea Pratiwi — 2025-12-27

Study aims to analyze the effect of trust, compatibility, perceived risk, risk acceptance, and satisfaction on students’ interest in using mobile banking applications. Mobile banking has become one of the most widely used digital financial solutions due to its convenience and practicality, especially among young users who are familiar with technology. This research employs a quantitative approach using multiple linear regression analysis. The data are derived from a secondary dataset titled “COGENT ADOPTION M-BANKING PLS,” which contains survey responses from 219 students who use mobile banking services. The analysis results reveal that satisfaction, compatibility, and trust significantly influence students’ interest in using mobile banking, while perceived risk and risk acceptance show no significant effect. The coefficient of determination (R²) value of 0.570 indicates that the model explains 57% of the variation in students’ interest in mobile banking adoption. These findings highlight the importance of user trust, system suitability, and satisfaction as key factors in sustaining mobile banking usage. The study contributes both theoretically and practically by enriching the understanding of technology acceptance behavior among students and providing insights for banking institutions to enhance application design, strengthen security systems, and develop more user-oriented mobile banking strategies.

Technology Governance Analysis and Design Information on the Application “CatatMak”

Rujianto Eko Saputro — 2025-12-27

This paper presents the analysis and design of information technology (IT) governance for the CatatMak financial recording application developed by PT Jadi Kaya Raya Bersama. The study aims to identify weaknesses in the current IT governance, including API instability, insecure authentication, lack of monitoring and fallback systems, and the absence of integration with digital financial services. Using the COBIT 2019 framework as a reference, this research employs a qualitative descriptive approach through observation and interviews to assess governance gaps and formulate improvement strategies. The proposed design includes short-term solutions—such as API monitoring implementation, authentication enhancement, and SLA development—and long-term initiatives like financial system integration, SOP creation, and IT security team formation. Key Performance Indicators (KPI) and Key Risk Indicators (KRI) are also defined to ensure measurable evaluation of IT governance performance. The results are expected to improve system reliability, security, and operational efficiency in supporting the company’s digital transformation goals.