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All Journal Techno.Com: Jurnal Teknologi Informasi Prosiding National Conference for Community Service Project
Vanessa, Nancy
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering

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Perancangan dan Implementasi Front end Website Profile & Crud Product Knowledge di PT. Panca Utama Vanessa, Nancy; Sama, Hendi; Siahaan, Mangapul
National Conference for Community Service Project (NaCosPro) Vol. 7 No. 01 (2025): The 7th National Conference for Community Service Project 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v7i01.10795

Abstract

Digital transformation is a key requirement for companies that want to compete in the modern era, including for PT. Panca Utama, a hospitality equipment provider company that has been operating for more than two decades. In order to increase digital visibility and expand marketing reach, a community service activity was carried out in the form of designing and implementing a company website that includes a company profile and CRUD features for managing product information. The project was implemented using the Scrum methodology and involved the development of a user interface (front-end) using HTML, CSS, and JavaScript, as well as a Django-based backend. The final result is an official website that is informative, interactive, and easily accessible has been successfully implemented, enabling the company to appear more professional and efficient in serving customers and supporting future business growth.
Behavioral Manipulation In Big Data Implementation: Systematic Literature Review Sama, Hendi; Siahaan, Mangapul; Vanessa, Nancy
Techno.Com Vol. 25 No. 1 (2026): February 2026
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v25i1.15099

Abstract

This study investigated the phenomenon of behavioral manipulation in big data implementation through a systematic literature review of thirty peer-reviewed articles published between 2020 and 2025. The objective of the review was to provide a comprehensive understanding of the mechanisms, impacts, and mitigation strategies related to the use of big data for influencing human behavior. The review was conducted following the PRISMA 2020 framework, ensuring transparency and reproducibility in the selection and evaluation process. Out of an initial 250 records identified across major academic databases, 30 studies were ultimately included based on predefined inclusion and exclusion criteria. The analysis revealed that behavioral manipulation was primarily executed through algorithmic recommendation systems, dynamic pricing models, deceptive interface design, and data-driven persuasion techniques. The reviewed studies indicated that such practices compromised individual autonomy, shaped consumer and political decisions, and contributed to psychological strain and social inequality. The findings also highlighted the paradox of algorithmic transparency, showing that disclosure without user comprehension could legitimize manipulation rather than reduce it. Furthermore, evidence suggested that emerging interventions, such as dynamic consent mechanisms and independent algorithmic audits, showed potential in restoring trust and protecting user rights, although their implementation remained limited. Approximately 83.3% of the reviewed studies concluded that behavioral manipulation through big data is a multidimensional challenge requiring an integrated response that combines technical safeguards, ethical design, adaptive regulation, and enhanced digital literacy.   Keywords - Behavioral manipulation, Big data implementation, Decision making
Co-Authors Mungkap Mangapul Siahaan Sama, Hendi