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p-Index From 2021 - 2026
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All Journal Jurnal Manajemen Dan Bisnis Ekonomi Jurnal Riset Manajemen
Wargijono Utomo
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Implementasi Business Intelligence untuk Mendukung Pengambilan Keputusan Strategis Sumber Daya Manusia di Universitas Pancasila Nur Laila Afnash; Wargijono Utomo
JURNAL MANAJEMEN DAN BISNIS EKONOMI Vol. 4 No. 2 (2026): April: JURNAL MANAJEMEN DAN BISNIS EKONOMI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jmbe-itb.v4i2.4437

Abstract

Human Resource (HR) management in universities requires a data-driven strategic decision support system. Universitas Pancasila faces challenges in monitoring employee performance, turnover, and training effectiveness due to fragmented data across multiple systems. This study implements a Business Intelligence (BI) system to support HR strategic decision-making. A star-schema Data Warehouse was built by integrating data from SIMPEG, e-Learning, and Payroll systems through Extract, Transform, Load (ETL) processes, yielding 4,217 employee records over 2021–2023. An interactive dashboard was developed to visualize four KPI categories: employee performance, turnover, training, and workforce distribution. System evaluation used the Technology Acceptance Model (TAM) with 35 respondents, achieving a Perceived Usefulness score of 4.21 and Perceived Ease of Use of 4.08 (scale 1–5). KPI results showed overall performance at 78.6%, turnover rate of 8.3%, and training completion at 71.4%. The BI system enabled HR leadership to identify underperforming units and formulate targeted interventions, reducing manual reporting time by 65%.
Implementasi Business Intelligence dan Metode TOPSIS dalam Sistem Pendukung Keputusan Pemilihan Produk Terlaris pada Toko Retail Berbasis Dashboard Analitik Nurul Mukharomi Azizah; Wargijono Utomo
JURNAL RISET MANAJEMEN (JURMA) Vol 4 No 1 (2026): March: JURNAL RISET MANAJEMEN (JURMA)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jurma.v4i1.4481

Abstract

This research aims to implement Business Intelligence and the TOPSIS method in a Decision Support System for selecting the best-selling products in retail stores through an analytical Dashboard. Retail businesses generate large amounts of transaction data every day, but the data is often only used for operational reporting and has not been optimally utilized for strategic decision making. This study integrates Business Intelligence technology, data Warehouse, ETL process, Dashboard Analytics, and TOPSIS method to analyze product sales patterns and determine the best-selling products based on several criteria such as sales quantity, stock turnover, profit level, customer demand, and sales frequency. The research method uses a system development approach consisting of data collection, dimensional modeling, ETL implementation, TOPSIS calculation, Dashboard design, and system evaluation. The results show that the implemented system can accelerate reporting processes, improve decision-making accuracy, and assist management in identifying strategic products quickly and interactively. The integration of TOPSIS with Business Intelligence Dashboards contributes to effective data-driven decision making in retail management.
Co-Authors Nur Laila Afnash Nurul Mukharomi Azizah