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Adizty Suparno
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Teknik Industri, Fakultas Teknik, Universitas Mercu Buana, Jl. Meruya Selatan No. 1, Kembangan, Jakarta Barat 11650
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INDONESIA
JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI)
Published by Universitas Mercu Buana
ISSN : 20855869     EISSN : 25984853     DOI : 10.22441/pasti
Core Subject : Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Transportation
The Journal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) receives scientific papers on research that are closely related to the research and application of Industrial Systems and Engineering.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 392 Documents
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Designing an IoT-Based EMIS using Linear Regression and CUSUM for Real-Time Anomaly Detection in Pharmaceutical Industry Freska Lionia Darlion; Muhammad Isa Lufti
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 19 No. 3 (2025): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/0.22441/10.22441/pasti.2025.v19i3.011

Abstract

The pharmaceutical industry is a high energy-intensity sector requiring strict operational stability. However, many companies still rely on manual energy monitoring methods, leading to information latency. A case study at a multinational pharmaceutical company in Indonesia revealed a baseload inefficiency of 14.3 kW during non-operational hours, which remained undetected due to an ad-hoc energy management system. This study aims to design an IoT-based Energy Management Information System (EMIS) architecture to transform the energy management business process from reactive to proactive-predictive. The study utilizes secondary data from the 2025 Energy Audit Report. The system design integrates a linear regression model (R²=0.80) for Energy Performance Indicators (EnPI) determination and the Cumulative Sum (CUSUM) algorithm for real-time anomaly detection. Investment feasibility is evaluated using techno-economic analysis. The implementation of EMIS requires an investment of IDR 225,000,000 with potential annual energy cost savings of IDR 44,172,687. Although the Simple Payback Period (SPP) is 5.1 years, the project is considered feasible due to its strategic value in data transparency, operational risk mitigation, and ISO 50001 compliance. Furthermore, this digital transformation supports the achievement of Sustainable Development Goals (SDG 7, 9, and 12) by promoting energy efficiency and responsible industrial consumption. Digitizing energy systems is not merely a tool replacement but a strategic transformation that turns energy data into critical business decision assets.
Managing Workflow Time Overruns: A Workload-Aware Operational Management Approach Supported by Machine Learning Rizaldi Mu'min; Jakfat Haekal; Andrian Haro; Rhamdalia Fanny Gustaji; Joval Ifghaniyafi Farras
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 20 No. 1 (2026): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Workflow time overruns are recurring operational control problems rather than mere forecasting errors. When actual completion times exceed plan, managers face schedule instability, coordination losses, approval bottlenecks, and rising service costs. Using 2,500 task-level observations, this study examines how workload-aware analytics from routine workflow data can improve operational control over time overruns. The analysis treats time overrun as the main outcome and evaluates whether variables such as task type, department, priority, approval level, employee workload, estimated duration, and cost provide useful visibility into overrun risk. The results show that routine workflow data can indicate where overrun exposure tends to accumulate, especially around estimate quality, workload conditions, approval requirements, and task heterogeneity. However, the strongest managerial value of analytics lies less in replacing judgment than in improving planning discipline, estimate calibration, workload review, and exception monitoring. The study therefore reframes workflow overrun analysis as an operational control and process-governance issue.

Page 40 of 40 | Total Record : 392

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