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All Journal TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi Formosa Journal of Computer and Information Science
Stefany Yunita Baralangi
Universitas Atma Jaya Makassar
Computer Science & IT

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Pemodelan Aplikasi Pendeteksi Pelaksanaan Social Distancing dalam Membantu Pengawasan Program 3M Arnold Nasir; Stefany Yunita Baralangi
TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi Vol. 10 No. 1 (2022): TEMATIKA Volume 10 Nomor 1 (Maret 2022)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56963/tematika.v10i1.137

Abstract

The Coronavirus has made severe damage to the society around the world. Every aspect of human life was affected. As the result, the government propose the “new normal” policy to be applied as the new standards for regulating people in doing their activities. One of the rules within the new normal policy is to implement social distancing in a public space. In order to enforce the rule, the implementation of computer vision technology by using CNN becomes one of the solutions, especially in the university environment.
Interpretive Practices of PLC Based Automation in Industrial Production Systems under Dynamic Operational Conditions Ferdianto Tangdililing; Stefany Yunita Baralangi
Formosa Journal of Computer and Information Science Vol. 5 No. 1 (2026): March 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i1.16489

Abstract

This study examines interpretive practices in PLC-based automation, particularly how real-time data supports adaptive decision-making in PLC–SCADA manufacturing systems. Using a mixed-method approach, the findings reveal that system effectiveness depends not only on deterministic control logic but also on the integration of sensor data, HMI visualization, and adaptive control. Under dynamic conditions, effective data interpretation enhances production efficiency, reduces downtime, and accelerates response to disruptions. Furthermore, the integration of PLCs with IoT and data analytics improves system flexibility and reduces decision ambiguity. The study concludes that successful PLC automation relies on the synergy between control technology, data interpretation, and human–machine interaction, contributing to the development of more adaptive and intelligent production systems.
Co-Authors Arnold Nasir, Arnold Ferdianto Tangdililing