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Journal : Science Information System and Technology

Analysis of Reliability, Transaction Speed, and User Experience on Information System Integration in E-commerce Business in Indonesia Loso Judijanto; Wily Mohammad; Etika Purnamasari; Hanifah Nurul Muthmainah
West Science Information System and Technology Vol. 1 No. 02 (2023): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v1i02.478

Abstract

This research investigates the dynamics of information system integration in the context of e-commerce businesses in Indonesia, focusing on the critical factors of reliability, transaction speed, and user experience. Employing a quantitative approach, the study utilizes Structural Equation Modeling with Partial Least Squares (SEM-PLS) to analyze data from a sample of 175 participants. The measurement model assessment reveals robust factor loadings and reliability measures, establishing the foundation for further analysis. Discriminant validity analysis highlights the distinctiveness of the constructs, though attention to refining measurement items for user experience is recommended. The model fit assessment indicates that the proposed structural model aligns well with the observed data. The structural model analysis uncovers significant positive relationships between reliability, transaction speed, user experience, and information system integration. Furthermore, the R-Square values underscore the substantial impact of these factors, explaining approximately 60.2% of the variance in information system integration. The findings provide valuable insights for businesses and policymakers, emphasizing the need to prioritize reliability, transaction speed, and user experience to enhance information system integration in Indonesian e-commerce.
Analysis of Threat Detection, Prevention Strategies, and Cyber Risk Management for Computer Network Security in Government Information Systems in Indonesia Loso Judijanto; Rifky Lana Rahardian; Hanifah Nurul Muthmainah; Moh. Erkamim
West Science Information System and Technology Vol. 1 No. 02 (2023): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v1i02.479

Abstract

This research investigates the landscape of threat detection, prevention strategies, and cyber risk management within Government Information Systems in Indonesia. A quantitative approach, employing Structural Equation Modeling - Partial Least Squares (SEM-PLS), was utilized to analyze data collected from 150 participants across diverse government institutions. The study assessed perceived cyber threats, the effectiveness of threat detection mechanisms, prevention strategy implementation, and cyber risk management practices. Findings revealed significant regional variations in threat perception and underscored the importance of both technological and human-centric approaches. The Structural Equation Model demonstrated satisfactory fit, with notable path coefficients indicating strong relationships among latent variables. The study contributes valuable insights to cybersecurity practices in the Indonesian government sector, informing policymakers and practitioners on strategies to enhance network security resilience.
Implementation of Edge Computing IoT-based Database Management System for Renewable Energy Management in Indonesia Widyatmoko Widyatmoko; Salfin Salfin; Nanny Mayasari; Hanifah Nurul Muthmainah
West Science Information System and Technology Vol. 1 No. 02 (2023): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v1i02.480

Abstract

The implementation of an IoT Smart Computing-based Database Management System (DBMS) for renewable energy management in Indonesia represents a pivotal step toward sustainable energy practices. This research conducted a comprehensive analysis using both descriptive and inferential statistics based on data collected from 100 renewable energy sources. The results revealed a mean energy production of 500 kWh, coupled with a high mean reliability index of 0.92, indicating a stable and consistent energy supply. Regression analysis highlighted a positive correlation between sunlight exposure and energy production, emphasizing the need for adaptive strategies in harnessing varying climatic conditions. Hypothesis testing confirmed the significant improvement in energy management metrics compared to traditional systems (p < 0.001). The findings provide valuable insights for optimizing renewable energy utilization and offer practical recommendations for stakeholders involved in Indonesia's renewable energy landscape.