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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Mustajib, Muhammad
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Real-Time Integration of PLC and ERP Odoo for Enhanced Production Monitoring Using OEE in a Bottle Sorting Plant Asnawi, Mashudi; Agustina, Tri Siwi; Mustajib, Muhammad; Solakhudin, Muhammad Rafi
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5920

Abstract

The integration of Operational Technology (OT) and Information Technology (IT) plays a pivotal role in optimizing enterprise-level decision-making, improving company efficiency and productivity. In this research, a software connector was designed to link Programmable Logic Controllers (PLCs) with Odoo’s Enterprise Resource Planning (ERP) system, facilitating real-time data acquisition from industrial machines. The integration supports communication protocols such as Modbus TCP/IP, Ethernet IP, and Profinet, enabling seamless data flow between OT and IT systems. To demonstrate this integration, a bottle sorting plant controlled by a PLC was developed, with production data transmitted in real-time to Odoo ERP. The Overall Equipment Effectiveness (OEE) method was employed within a custom-built manufacturing module in Odoo to monitor key performance metrics, including Availability, Performance, and Quality. Results of the OEE analysis were cross-verified with manual calculations, showing a 0% discrepancy, thus ensuring accuracy. In addition, the OEE metrics were visualized in Grafana, where real-time monitoring revealed the sorting machine's OEE at 85.7%, placing it in the world-class category. Availability reached 96.67%, Performance was at 92.53%, and Quality measured at 95.7%. This system not only streamlined production processes but also provided actionable insights, enabling the company to make data-driven improvements. The findings of this research highlight the benefits of IT-OT integration, improving machine performance and serving as a vital tool for evaluating production efficiency at the enterprise level.
Autonomous Camera Tracking System Using Image Processing for Dynamic Educational Content Creation Solakhudin, Muhammad Rafi; Sinka, Valina; Gunawan, Sri; Mustajib, Muhammad
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 12 No 1 (2025): Jurnal Ecotipe, April 2025
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v12i1.4545

Abstract

In the context of the Online Learning activity, where video content plays a crucial role in educational materials, the demand for effective video production systems has become essential. Traditionally, at least two people are needed to operate cameras, which poses a challenge due to limited human resources. This study addresses this issue by developing a Camera Position Tracking System using image processing, specifically utilizing the MediaPipe framework for real-time tracking of presenters. The system's mechanics enable a DSLR camera to automatically adjust its position based on the presenter’s movement, detected within a range of 1.5 to 8 meters. The light intensity required for optimal operation is between 125 and 190 lux. The system's success lies in converting detected position data into motor stepper pulses that move the camera, ensuring efficient, cost-effective video production with minimal human intervention.
Co-Authors Asnawi, Mashudi Sinka, Valina Solakhudin, Muhammad Rafi Sri Gunawan Tri Siwi Agustina