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All Journal Abdi Masya Teknika
Pambudi, Slamet
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KUALITAS LAJU PANAS KONVEKSI PADA MESIN OVEN KOMPOR ROTARY Prihatin, Joko Yunianto; Kustanto, Heri; Pambudi, Slamet; Maulindra, Satyagraha
Teknika Vol 6 No 4 (2020): September 2020
Publisher : Pusat Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (383.346 KB)

Abstract

Berdasarkan prinsip kerja pemanasan merupakan suatu metode untuk mengeluarkan atau menghilangkan sebagian air dari suatu bahan dengan cara menguapkan air tersebut menggunakan energi panas. Permasalahan utama adalah akurasi pemanasan awal dan proses pemanasan yang tidak sesuai dengan efisiensi waktu, sehingga biaya beban listrik menjadi naik dan merugikan para pengusaha roti. Penelitian ini bertujuan untuk menentukan alternatif solusi yang bertitik berat kepada kajian kualitas laju panas konveksi pada mesin oven kompor rotary. Metode yang diterapkan adalah membandingkan pengaruh kualitas beban dan akurasi waktunya. Hasil penelitian menunjukkan bahwa nilai pemanasan awal 10 menit oven kompor rotary yang efektif adalah 51oC dan 72oC. Nilai pemanasan konveksi yang paling optimal dari mesin oven kompor rotary ini mencapai 121,4 kW.
REKAYASA LEAK TEST MACHINE BERBASIS PLC (PROGRAMMABLE LOGIC CONTROLLER) Pambudi, Slamet; Lestari, Tri Rahayu Kuwat; Prasetyo, Agung
Teknika Vol 9 No 2 (2024): October 2024
Publisher : Pusat Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52561/teknika.v9i2.256

Abstract

A Leak Testing Machine is a tool that determines the leakage level by applying a specific air pressure to the material being tested. This tool is designed for packaging plastic bottles. This research aims to create an automatic Leak Testing Machine to detect bottle leaks. In addition, air pressure testing is carried out by varying the time and hole diameter to obtain the correct time parameters and hole diameter at optimal air pressure. The work sequence of this Leak Testing Machine uses a PLC and a conveyor drive system using a 3-phase induction motor. Conveyor speed regulation uses an inverter, while air pressure regulation uses a Pressure Vacuum Controller. The research showed that at a hole diameter of 2 mm, the average air pressure data obtained in the bottle was 185.2 kPa for 2 seconds, 155 kPa for 5 seconds, and 135 kPa for 7 seconds. With a hole diameter of 4 mm, the average air pressure data on the bottle is 170.8 kPa for 3 seconds, 139.4 kPa for 5 seconds, and 121.2 kPa for 7 seconds. With a hole diameter of 6 mm, the average air pressure data on the bottle is 153.4 kPa for 2 seconds, 123.6 kPa for 5 seconds, and 113.4 kPa for 7 seconds. The greater the leak in the test bottle, the smaller the air pressure in the test bottle. The longer the leak testing time on the test bottle, the lower the pressure.
IoT IMPLEMENTATION BASED ON POWER QUALITY NETWORK ANALYZER FOR 3-PHASE INDUCTION MOTOR CONTROL Aiman, Muhammad Afiq; Hussian, Ammar Husaini; Ibrahim, Mohd Tarmizi; Pambudi, Slamet
Teknika Vol 10 No 2 (2025): October 2025
Publisher : Pusat Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52561/teknika.v10i2.612

Abstract

This study presents the design and implementation of a Power Quality Network Analyzer (PQNA) employing an ESP32 microcontroller to monitor and analyze key power quality parameters, including voltage, current, power factor, and total harmonic distortion (THD) for each phase of a three-phase induction motor. Traditional monitoring systems rely on manual or fixed data acquisition methods, which are inadequate for achieving efficient real-time data analysis. In contrast, the proposed system utilizes the RS-485 communication protocol, ensuring robust and reliable industrial data transfer, and functions as a data gateway that transmits all acquired parameters to the Thinger.io cloud platform for real-time visualization and analytics. This configuration enables enhanced diagnostic capabilities and predictive maintenance, improving system reliability and operational efficiency. Furthermore, the project demonstrates the potential of IoT integration in enabling remote assessment of power quality, thereby minimizing motor downtime and facilitating data-driven decision-making for performance optimization in industrial environments. The proposed framework also contributes to the advancement of intelligent industrial automation, emphasizing how real-time data analytics can significantly enhance productivity and sustainability.
Co-Authors Aiman, Muhammad Afiq Bambang Supriyanto Edwin, Yoga Harjendro Heri Kustanto Hussian, Ammar Husaini Ibrahim, Mohd Tarmizi Jayawarsa, A.A. Ketut Joko Yunianto Prihatin Lestari, Tri Rahayu Kuwat Lujeng Widodo, Lujeng Maulindra, Satyagraha Mutaqin, Niki Agastia Pamungkas, Adam Adi Rahmat Rahmat Roedy Kristiyono, Roedy Saraswo, Aris Joko Sinatrya, Cahya sri murtini .