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Journal : Journal Of Informatics And Busisnes

Implementasi Knowledge Management Menggunakan Model Big Data Untuk Media Sosial UMKM Putri Permata Sari; Tulas Novalima; Eka Indah Wahyuni
Journal Of Informatics And Busisnes Vol. 2 No. 4 (2025): Januari - Maret
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i4.2384

Abstract

The purpose of this research is to examine the Implementation of Knowledge Management Using the Big data Model for MSME Social Media. With the rapid growth of data generated from interactions on social media, MSMEs are faced with the challenge of managing information effectively to improve competitiveness. This research uses a qualitative approach. This approach aims to explore the meaning, understanding, concepts, characteristics, symptoms, symbols, and descriptions of a phenomenon. This model describes the synergistic relationship between big data and KM and provides a framework for SMEs to use big data through KM. This framework includes four constructs, namely, strategic use of big data, knowledge-guided big data project planning, IT solutions for SMEs, and new knowledge products. Research results The implications for big data practices for different types of businesses may not be the same. Analysis of various business cases shows that successful SMEs should not ignore big data opportunities, and exploit big data by placing emphasis on KM, rather than on sophisticated IT techniques or the sheer magnitude of data, to generate knowledge products that are valuable to the competition.
Evaluasi Keandalan Infrastruktur Cloud Computing Di Politeknik Belitung Untuk Mendukung Layanan Kampus Digital Dion Anugrah; Rizki Ananda; Eka Indah Wahyuni
Journal Of Informatics And Busisnes Vol. 3 No. 1 (2025): April - Juni
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v3i1.2441

Abstract

This study evaluates the reliability of cloud computing infrastructure at Belitung Polytechnic in supporting digital campus services. The evaluation was carried out by analyzing aspects of performance, security, and scalability of the cloud-based system used. The methods applied include measuring uptime, system response, and data security against cyber threats. The results of the study indicate that the cloud computing infrastructure at Belitung Polytechnic has a fairly high level of reliability, but there are still several obstacles related to latency and security that need to be improved. Recommendations for improvement are focused on optimizing the network, improving data encryption, and implementing a stricter monitoring system. With these improvements, it is hoped that digital campus services can run more efficiently and safely, supporting academic needs and campus operations optimally.