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Hamdan Gani
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UPPM Politeknik ATI Makassar Gedung UPPM Politeknik ATI Makassar, Jl. Sunu No. 220, Kota Makassar
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JEAT : Journal of Electrical and Automation Technology
Published by Politeknik ATI Makassar
ISSN : 28300939     EISSN : 28300939     DOI : -
Core Subject : Science, Engineering,
Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Mechanical Engineering
JEAT : Journal of Electrical and Automation Technology adalah jurnal ilmiah blind peer review yang menerbitkan artikel dalam bidang yang meliputi Teknologi Otomasi, Kontrol, Elektronika, Komputer, Listrik, Energi dan Mekatronika.
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 53 Documents
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Design and Development of a PLC-Based Conveyor Trainer with Variable Speed Drive Andi Muh Akbar Amanullah Taufik; M Sakir Syarif; Lutfi; Fahri
JEAT : Journal of Electrical Automation Technology Vol. 5 No. 1 (2026): JEAT : Journal of Electrical and Automation Technology
Publisher : UPPM Poltek ATI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61844/jeat.v5i1.1405

Abstract

The design and construction of a miniature conveyor based on an Omron CP1E Programmable Logic Controller (PLC) and Schneider ATV212 Variable Speed Drive (VSD) aims to provide a safe and representative industrial automation training medium for technicians and operators at PT Indexim Coalindo. Direct training on real industrial equipment entails high safety risks and substantial operational costs. The experimental method was employed, encompassing hardware design, ladder diagram programming, and integrated system interlock testing. Data were collected through field observations, literature reviews, and component reliability testing. The results indicate that the miniature conveyor was successfully developed and accurately performed basic operational functions (start, stop, and reset). The VSD effectively regulated the speed of the three-phase induction motor. Furthermore, the integrated protection devices—including the emergency stop, pull cord switch, belt drift switch, and rotation sensor—proved responsive in detecting potential faults and automatically stopping the system to ensure operational safety. This system is suitable for interactive simulation to enhance human resource competencies in industrial automation.
Design and Development of Arduino Uno and LoRa E32-Based Hoist Crane Operator Calling System Annisa Nurul Puteri; Andi Muh Ramdhan Irga; Muh Izzad Syifa; Nurhayati Djabir; Sukriyah Buwarda
JEAT : Journal of Electrical Automation Technology Vol. 5 No. 1 (2026): JEAT : Journal of Electrical and Automation Technology
Publisher : UPPM Poltek ATI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61844/jeat.v5i1.1406

Abstract

Calling crane operators in industrial areas is still frequently performed manually through voice signals, direct communication, or conventional communication devices. These methods have notable limitations, particularly in noisy work environments, across long communication distances, or in spatial conditions where direct communication is unfeasible. This study aims to design a crane operator calling system based on Arduino and the LoRa E32 communication module as an efficient, low-power, and easily deployable long-range wireless communication medium. The system consists of a transmitter unit utilizing buttons, Arduino, and LoRa E32 to send data, as well as a receiver unit that processes incoming call signals to activate indicators such as a buzzer, I2C LCD, or information display. The testing methodology was comprehensively conducted, covering local component functionality and wireless signal transmission range. The functional testing results indicated that the push button, 16x2 I2C LCD, and buzzer operated optimally with a 100% success rate. Furthermore, the wireless transmission test results demonstrated that the system achieves an effective operational range of up to 180 meters in an industrial environment with stable data delivery and zero packet loss. When the distance exceeds 180 meters, communication performance begins to suffer signal degradation. By utilizing LoRa E32, this system is expected to increase communication effectiveness, reduce the risk of miscommunication, and support occupational safety in industrial environments.
Design and Development of a DS-200C4 Proximity Sensor Control Panel for Automatic Gallon Brush Imam Sya'roni; Achmad Ghalib; Diaz Erlangga; Muhammad Fadli Azis; Roby Tristiantoro
JEAT : Journal of Electrical Automation Technology Vol. 5 No. 1 (2026): JEAT : Journal of Electrical and Automation Technology
Publisher : UPPM Poltek ATI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61844/jeat.v5i1.1407

Abstract

The gallon washing process in the Bottled Drinking Water industry plays a crucial role in maintaining cleanliness and product quality standards prior to filling. This final project research was motivated by operational problems in the gallon brush machine at PT. Rapid Tirta Sejahtera, which still utilizes a manual control system. The absence of object detection causes the brush drive motor to rotate continuously even when there are no gallons in the washing area, triggering electrical energy waste, accelerating component wear, and lowering production efficiency. As a solution, this experimental study implements an E3F-DS200C4 infrared photoelectric proximity sensor to automate the gallon brush control panel. The integrated system utilizes a switching power supply, 12 VDC relay, LM2596 step-down module, 10-second Omron H3Y timer, single-phase MCB, and a contactor to control the Shimizu water pump and single-phase induction brush motor. Based on electrical parameter testing, the system operates stably with pump operating voltages ranging from 223 to 225 VAC (current 1.30–1.35 A) and sensor voltages from 12.14 to 12.18 VDC (current 0.82–0.85 A). The sensor works effectively within a detection range of 2 cm to 20 cm. The implementation of this timer-based automatic control reduces average manual washing time from 18.6 seconds to a constant 10 seconds, achieving a working time efficiency increase of 46.24% while optimizing electricity and water usage.

Page 6 of 6 | Total Record : 53

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