Claim Missing Document
Check
Articles

Found 2 Documents
Search

The Application of Programmable Logic Controllers (PLC) in Vocational Education Wisnu Budiarjo; Trisna Ardi Wiradinata; Rolan Siregar; Yendi Esye; Eva Novianti; Bagus Tri Mahardika; Atik Kurnianto
JEPTIRA Vol 3 No 1 (2025)
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jeptira.v3i1.95

Abstract

This article outlines a systematic training program aimed at introducing and improving participants' comprehension of Programmable Logic Controllers (PLCs), a fundamental element in industrial automation systems. The training employed practical, hands-on workshops concentrating on fundamental PLC principles, hardware types, programming languages, and operational procedures. The participants were vocational school educators, students, and undergraduate engineering majors. The findings indicated substantial enhancements in the understanding and utilization of PLCs in automation activities, effectively connecting theoretical education with practical industry applications. The results further illustrate the efficacy of experiential learning in cultivating practical skills necessary for meeting the requirements of Industry 4.0 settings.
Deteksi CO di Kabin Kendaraan Berjarak Jauh dan Analisis Kepadatan Lalu Lintas Menggunakan Logika Fuzzy: Deteksi CO di Kabin Kendaraan Berjarak Jauh dan Analisis Kepadatan Lalu Lintas Menggunakan Logika Fuzzy Suzuki Syofian; Aji Setiawan; Muhamad Fathan; Rolan Siregar
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 2, July 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i2.26854

Abstract

Carbon monoxide (CO) inside vehicle cabins poses a significant health risk to passengers and can even lead to fatalities. This danger primarily arises from inadequate ventilation, which allows exhaust fumes to seep into the cabin and be gradually inhaled. CO is a gas that lacks color, odor, taste, and does not cause irritation, making it difficult to detect without proper tools. It is commonly encountered in industrial environments and is produced by the incomplete combustion of fuel in motor vehicles, heating systems, devices that burn carbon-based materials, wood stoves, train emissions, gas burning, and even tobacco smoke. However, the primary contributor is the residual combustion from vehicle engines. Given these concerns, this study aims to develop a system to monitor and control carbon monoxide concentrations within vehicle cabins using fuzzy logic. The system achieved an average error rate of 2.9% in reducing CO concentrations, with responsive fan control latency below 5 seconds. A microcontroller will serve as the core component for processing and control. The implementation of this system is expected to enable real-time detection of CO levels in the cabin and alert the driver accordingly. Ultimately, this can help reduce incidents of CO poisoning among vehicle occupants