Kohesi: Jurnal Sains dan Teknologi

Articles

Vol. 10 No. 8 (2026): Kohesi: Jurnal Sains dan Teknologi, ISSN 3025-1311

SISTEM INFORMASI PEMANTAUAN BIG DATA POLDA JAJARAN PADA WEB DIV HUMAS POLRI 2025

Submitted
January 10, 2026
Published
2026-01-10

Abstract

The rapid development of information and communication technology has encouraged the uti­lization of Big Data across various sectors, including the public sector. Big Data enables the man­agement of large, diverse, and high-velocity data to support more effective and data-driven deci­sion-making processes. This study aims to analyze the utilization of Big Data in the management and maintenance of the website of the Public Relations Division of the Indonesian National Police (Divisi Humas Polri), particularly in improving the quality of public information services.

This research employs a systematic literature review and comparative analysis of previous studies related to Big Data, combined with a qualitative approach through documentation studies of the website www.humas.polri.go.id. The analysis focuses on website visitor data, public infor­mation request features, the Tawk.to webchat application, and website maintenance as well as server infrastructure management. The results indicate that the Divisi Humas Polri website has functioned as an effective two-way communication platform, as evidenced by the high number of visitors reaching 109,220 in October 2025. The implementation of the Tawk.to application enables real-time interaction between the public and website administrators, thereby accelerating the han­dling of complaints and information requests in a more structured and well-documented manner.

In conclusion, the integration of a dynamic website, monitoring systems, and data-based com­munication applications contributes to enhancing transparency, accountability, and the effective­ness of public services. Nevertheless, challenges related to data quality, security, privacy, and hu­man resource competencies remain and require further attention. This study is expected to serve as a reference for government institutions in optimizing the use of Big Data to improve public information services.

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