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p-Index From 2021 - 2026
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This Author published in this journals
All Journal Eduvest - Journal of Universal Studies Insight : International Journal of social research
Rendi Brahma Fahrezi
Universitas Catur Insan Cendekia
Aerospace Engineering Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Health Professions Neuroscience Social Sciences

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Redesign UI/UX Website of Professional Certification Institute Using Design Thinking Method and Agile Framework Rendi Brahma Fahrezi
Eduvest - Journal of Universal Studies Vol. 4 No. 12 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i12.1356

Abstract

Professional Certification Institute (Lembaga Sertifikasi Profesi, LSP) is important in improving the quality of human resources in Indonesia through the provision of training and competency tests in accordance with their fields. For this reason, a medium is needed to promote the services of the Professional Certification Institute in order to reach the Indonesian people widely and online. One of the efforts to improve the promotion of the LSP Ditekindo is to improve the quality of the LSP Ditekindo website. The purpose of this research is to provide recommendations for redesigning and improving the quality of UI/UX, as well as completing information that should be on the LSP Ditekindo website. Researchers applied the Design Thinking method and Agile Framework, and collected data through questionnaires to find out user opinions about the website. The results showed that the Design Thinking method proved to be able to produce a better website redesign in terms of user experience. The Agile Framework method also helps produce a website redesign that is iterative, collaborative, and responsive to user needs. This is evidenced by the results of A/B Testing that has been carried out, where overall Design B or the results of the LSP Ditekindo website redesign were selected and favored by the accession.
Big Data Analytics for Predicting Customer Behavior in Digital Marketplaces Rendi Brahma Fahrezi; Nina Marlina; Haryati Haryati; Depi Agustina; Aad Adji
International Journal of Social Research Vol. 3 No. 6 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

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Abstract

The rapid growth of digital commerce has generated vast amounts of data from customer interactions within online marketplace platforms. This study aims to analyze the role of Big Data Analytics in predicting customer behavior in digital marketplaces. The research employs a qualitative research approach with a descriptive design to explore how data-driven strategies are used to understand consumer behavior and support business decision-making. Data were collected through in-depth interviews with digital marketing managers and data analysts, questionnaires distributed to licensed employees working in digital marketing and analytics roles, as well as observational analysis of customer interaction patterns on digital marketplace platforms. The results indicate that big data analytics plays a crucial role in identifying customer preferences, predicting purchasing patterns, and improving marketing effectiveness. Predictive models based on transaction history, browsing behavior, and customer reviews enable companies to develop personalized recommendation systems and targeted promotional strategies. These analytical capabilities significantly enhance customer engagement and increase sales performance in digital marketplaces. Furthermore, the findings highlight that organizations implementing advanced data analytics technologies gain competitive advantages through improved customer insights and more efficient marketing strategies. Despite several limitations related to sample size and qualitative data interpretation, this study provides valuable insights into the strategic importance of big data analytics for understanding consumer behavior in digital commerce ecosystems. The study also offers practical implications for businesses seeking to implement data-driven decision-making in the rapidly evolving digital economy.
Co-Authors Aad Adji Depi Agustina Haryati Haryati Nina Marlina