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p-Index From 2021 - 2026
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All Journal Journal of Computer Science and Technology Application JOT
Aulia Khanza
University of Raharja
Computer Science & IT Other

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Data Driven A or B Testing Methodology for Website Effectiveness Qurotul Aini; Aulia Khanza; Vinkan Likita; Steven Harazaki Lase; Yasir Mustafa Kareem
CORISINTA Vol 3 No 1 (2026): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/t04mab20

Abstract

Website design and optimization decisions are often driven by subjective opinions, internal organizational preferences, or prevailing industry trends rather than empirical evidence derived from large-scale user interaction data, resulting in suboptimal performance and inconsistent user experiences. In digital environments characterized by high data volume and velocity, the absence of a structured experimentation methodology limits organizations’ ability to effectively leverage Big Data for continuous website improvement. This paper presents a comprehensive and systematic methodological guide to A or B testing as a data-driven approach for enhancing website effectiveness in data-intensive contexts. Unlike existing A or B testing guides that focus mainly on tools or isolated experimental outcomes, this study proposes an end-to-end framework integrating hypothesis formulation, scalable experimental design, statistical rigor, iterative learning, and practical decision-making into a unified and replicable process. The methodology outlines the complete A or B testing lifecycle, including alignment of business objectives with measurable data signals, development of testable hypotheses, controlled experiment implementation, large-scale data collection, and statistical analysis to ensure validity and significance of findings. The results demonstrate that a disciplined and continuous A or B testing program supported by Big Data analytics enables incremental yet compounding improvements in website performance. Through illustrative case examples, the study shows that relatively small, data-informed changes to website elements such as headlines, calls-to-action, images, and layout structures can lead to statistically significant gains in conversion rates, user engagement, and overall user experience. The paper concludes that A or B testing serves as a strategic Big Data analytics mechanism that supports evidence-based website optimization decisions grounded in empirical user behavior rather than intuition.
Microfinance 2.0 and Digital Lending Platforms for Human Well-Being and Financial Inclusion Wisnu Wira Atmadja Effendi; Dwi Apriliasari; Muhtarom Muhtarom; Aulia Khanza; Zeze Nanle
Journal of Orange Technology Vol. 2 No. 2 (2026): April
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v2i2.80

Abstract

The microfinance industry is undergoing a significant transformation driven by the emergence of digital lending platforms, a shift often referred to as ”Microfinance 2.0.” Traditional microfinance models, characterized by group-based lending and intensive personal interaction, are increasingly being replaced by technology-enabled systems that offer lower operational costs, broader outreach, and enhanced data analytics capabilities. This study aims to empirically exam- ine the impact of digital lending platform adoption on the operational performance, portfolio quality, and financial inclusion capacity of MFIs. This research adopts a quantitative approach using secondary financial and operational data collected from MFIs that have implemented digital lending platforms. Key performance indicators analyzed include cost per loan, loan portfolio at risk (PAR), processing time, and number of clients served. The data are analyzed using descriptive statistics, correlation analysis, and multiple regression modeling to evaluate the relationship between digital platform adoption and institutional performance outcomes. The findings indicate that the adoption of digital lending platforms is significantly associated with reduced operational costs, shorter processing times, and expanded client outreach. Statistical results also suggest improvements in portfolio monitoring efficiency, although variations in default risk patterns are observed across institutions. The study concludes that digital transformation contributes positively to operational efficiency and financial inclusion when supported by appropriate risk management mechanisms. Strategic integration of technology can enhance financial sustainability while maintaining the social mission of microfinance institutions in the era of Microfinance 2.0.
Co-Authors Dwi Apriliasari Muhtarom Qurotul Aini Steven Harazaki Lase Vinkan Likita Wisnu Wira Atmadja Effendi Yasir Mustafa Kareem Zeze Nanle