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All Journal WIDYABHAKTI Jurnal Ilmiah Populer Science Information System and Technology Technologia Journal
Agus Purwanto
Institut Teknologi dan Bisnis STIKOM Bali
Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences

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Big Data Analytics Capability and Database Integration in Supporting Quality Decision Making in the E-Commerce Industry in Indonesia Joko Santoso; Anggun Nugroho; Agus Purwanto; Affan Irfan Fauziawan; I Wayan Karang Utama
West Science Information System and Technology Vol. 4 No. 02 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i02.3043

Abstract

The rapid development of Indonesia’s e-commerce industry has increased the importance of data-driven decision-making to improve business competitiveness and operational effectiveness. The availability of massive amounts of digital data requires organizations to develop technological capabilities that enable accurate, timely, and strategic decisions. This study aims to analyze the role of Big Data Analysis and Database Integration in supporting high-quality decision-making within Indonesia’s e-commerce industry. This research employs a quantitative approach involving 105 respondents who are engaged in e-commerce-related activities. Data were collected using a five-point Likert scale questionnaire and analyzed using SPSS version 25 through validity testing, reliability testing, classical assumption testing, multiple linear regression analysis, F-test, and coefficient of determination analysis. The results indicate that Big Data Analysis has a positive and significant effect on high-quality decision-making. Database Integration also demonstrates a positive and significant influence on decision-making quality. Furthermore, the simultaneous test confirms that Big Data Analysis and Database Integration significantly affect decision-making quality, with an explanatory power of 62.6% (R² = 0.626). These findings demonstrate that effective utilization of analytical capabilities and integrated database systems enables e-commerce organizations to improve information accuracy, reduce uncertainty, and enhance strategic decision-making processes. This study contributes empirical evidence regarding the importance of digital data capabilities in supporting organizational decision-making within Indonesia’s rapidly evolving e-commerce ecosystem.
Analysis of Privacy Protection Mechanism and Information Security Policy as Antecedents of User Trust in E-Commerce Platforms in Indonesia Agus Purwanto; Joko Santoso; Affan Irfan Fauziawan; I Wayan Karang Utama; Anggun Nugroho
West Science Information System and Technology Vol. 4 No. 02 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i02.3045

Abstract

The rapid growth of e-commerce in Indonesia has increased the importance of personal data protection and information security in building consumer confidence. This study analyzes the effects of Privacy Protection Mechanisms and Information Security Policies on User Trust in e-commerce platforms in Indonesia. A quantitative research approach was employed using a cross-sectional survey involving 150 respondents who had experience using e-commerce platforms. Data were collected through a structured questionnaire measured using a five-point Likert scale and analyzed using Partial Least Squares Structural Equation Modeling with SmartPLS 3. The measurement model demonstrated satisfactory reliability and validity. The structural model showed that Privacy Protection Mechanisms had a positive and significant effect on User Trust, while Information Security Policies also had a positive and significant effect on User Trust. The model explained 61.7% of the variance in User Trust, with an R² value of 0.617 and a Q² value of 0.428, indicating satisfactory explanatory and predictive relevance. Information Security Policies emerged as the strongest predictor of User Trust. These findings confirm that both privacy governance and information security management are essential for strengthening consumer confidence in e-commerce platforms. E-commerce providers should therefore improve privacy transparency, user control, authentication, transaction security, fraud prevention, and incident response mechanisms to support sustainable digital trust.
Co-Authors Affan Irfan Fauziawan Amalia Putri Khomariyah Anggun Nugroho Anggun Nugroho I Wayan Karang Utama I Wayan Karang Utama Joko Santoso M. Azman Maricar Made Dharma Ekayasa Ni Kadek Sukerti