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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Hukum Volkgeist Jurnal Teknologi Terapan Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton JTRM (Jurnal Teknologi dan Rekayasa Manufaktur) Jurnal Abdidas Journal La Multiapp Journal Of Human And Education (JAHE) Innovative: Journal Of Social Science Research Jurnal Multidisiplin Indonesia Jurnal Polimesin The Indonesian Journal of Computer Science Jurnal Legislasi Indonesia
Supriyanto, Hadi
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Journal : jurnal polimesin

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Production monitoring system using SCADA-IIOT for improving efficiency and productivity on stamping machines Maulana, Gun Gun; Mulia, Sandy Bhawana; Purnomo, wahyudi; Supriyanto, Hadi
Jurnal Polimesin Vol 24, No 2 (2026): April
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i2.8713

Abstract

The manufacturing industry plays a crucial role in the global economy, requiring continuous improvements in efficiency and productivity. Digital transformation through Supervisory Control and Data Acquisition (SCADA) systems has enabled better monitoring and control of production processes. However, recent industrial challenges demand more advanced solutions, particularly through the integration of Industrial Internet of Things (IIoT) technologies. This research proposes a web-based SCADA–IIoT production monitoring system for stamping machines that supports real-time machine monitoring, reliable communication, and automated abnormal event notifications. The system architecture integrates sensors for monitoring critical production parameters, SCADA software for visualization and control, and a web-based interface for remote monitoring. System security and communication reliability are ensured through appropriate protocol implementation. A case study conducted in a manufacturing environment evaluates the performance of the proposed system. Experimental results show that the system achieves a data integrity level of 98.99% during monitoring operations. The system is also capable of storing machine condition history and operational activities with a storage capacity of 604,800 data points and an average storage delay of 45.50 ms. Additionally, an error notification feature integrated with the Telegram messaging platform provides automated alerts with an average message latency of 445.99 ms. The proposed system demonstrates the potential of SCADA–IIoT integration to enhance production monitoring, improve decision-making accuracy, and increase operational efficiency in manufacturing environments.
Co-Authors Abadi, Sarosa Castrena Abbas, Muhammad Iqbal Imanuddin Abdul Rahman Adi, Reka Aji, Wisnu Candra, Wahyu Adhi Eko Satria Eliezer, Vincent Fachry Abda El Rahman Fadly, Debryan Febrianti, Dita Fitria Suryatini Gun Gun Maulana, Gun Gun Gunayanuar, Krisna Husen, Ahmad Ismail Rokhim, Ismail Mahardhika, Fadlan Martawireja, Abdur Rohman Harits Maulana, Gungun Muthmainna, Waode Novita Ayu Naufaldo, Naufaldo Novianti, WaOde onny, Fajrin T Pratama, Aristo Rizky Pratama, Rizki Aji Purnomo, Wahyudi Putra, Iwan Syah Ramadhan, Nur Jamiludin Rizal, Muhammad Nursyam Rizqi Aji Pratama Salad, Hariasi Sandy Bhawana Mulia, Sandy Bhawana Sari, Yeti Purnama SUBEKTI, RUMINTO Suhartono, Rizki Mustika Susetyo Bagas Bhaskoro Syamsul Falah Vitatrisanti, Aprillia Wibowo, Sugeng Widayat, Brian Wahyu Zidan, Alwan Zubair