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Halimah, Endang
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Membangun Taxonomy Riset Big Data Analytics dan Business Intelligence: Systematic Literature Review dalam Konteks Manajemen Informatika Tribuana, Dhimas; Dewi Haryanti Agustan, Andi; Hidayat; Halimah, Endang; Dianah, Koas; Isiswanty
Jurnal Teknologi dan Bisnis Cerdas Vol 1 No 2 (2025): Volume 1 Nomor 2 (September 2025)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v1i2.12

Abstract

Digital transformation has propelled the role of Business Intelligence (BI) from a mere reporting system to a strategic data-driven platform. This study aims to map the state of the art of BI through a Systematic Literature Review (SLR) guided by the PRISMA 2020 framework. A total of 50 scholarly articles published between 2010 and 2025 were systematically analyzed, sourced from both open-access databases and standard repositories (Scopus, Web of Science, Google Scholar, Semantic Scholar, and DOAJ). The analysis produced a taxonomy dividing the literature into five main domains: BI Foundations, Big Data Analytics, Data Governance & Quality, Real-Time & Stream Processing, and BI-AI Integration. The findings indicate that BI research evolves progressively, beginning with conceptual foundations, expanding toward advanced analytic capabilities, reinforcing data governance, accelerating real-time processing, and culminating in integration with Artificial Intelligence (AI) and Generative AI (GenAI). The study offers theoretical implications by providing a comprehensive conceptual framework for BI research, practical implications by guiding organizations in adopting BI-AI technologies effectively, and policy implications by emphasizing the need for adaptive regulation in data governance and AI ethics. Limitations include the restricted publication period and reliance on academic literature. Future research is recommended to incorporate grey literature and empirical case studies to enhance practical relevance.
HRIS dan Kinerja Pegawai Perbankan: Employee Wellbeing sebagai Mekanisme Peningkatan Kinerja (Studi Bank X Makassar) Halimah, Endang; Isiswanty, Isiswanty; Diana, Koas; Dewi Haryanti Agustang, Andi; Said Uddin, Abu; Firdania, Andi
Jurnal Teknologi dan Bisnis Cerdas Vol 1 No 3 (2025): Volume 1 Nomor 3 (Desember 2025)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v1i3.65

Abstract

Digital transformation in human resource management has become a strategic necessity for the banking industry to enhance employee effectiveness and performance. One of the key forms of this transformation is the implementation of a Human Resource Information System (HRIS), which integrates functions such as attendance, payroll, performance appraisal, self-service, and training. This study aims to examine the effect of HRIS implementation on employee performance, with employee wellbeing as a mediating variable, at Bank X in the Makassar area. A quantitative approach was employed using a survey method involving 150 employees of Bank X Makassar who actively use HRIS in their daily work activities. Data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results indicate that HRIS implementation has a positive effect on employee performance and employee wellbeing. Furthermore, employee wellbeing has a positive effect on employee performance and partially mediates the relationship between HRIS implementation and employee performance. These findings highlight that HRIS serves not only as an administrative tool but also as a strategic support system that enhances employee wellbeing and sustainable performance in the banking sector.
Co-Authors Dewi Haryanti Agustan, Andi Dewi Haryanti Agustang, Andi Dhimas Tribuana Diana, Koas Dianah, Koas Firdania, Andi Hidayat Isiswanty Isiswanty, Isiswanty Said Uddin, Abu