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Modification of Paving Block Molding Machine with the Addition of an Automatic Control System Based on a Programmable Logic Controller (PLC) Safitri, Laksita Aji; Darmawan, Andri; Sampurno, Bambang; Mashuri, Mashuri
IPTEK The Journal of Engineering Vol 11, No 3 (2025)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v11i3.a23052

Abstract

Company X is a paving block molding machine fabrication company in Surabaya. However, the machine still has some shortcomings because it is still conventional or manually operated. Some of these shortcomings, such as being still prone to human error and being less consistent when operating, can affect the results of the amount of production. From this phenomenon, automation is very important in the industrial world. Therefore, by referring to previous phenomenon, through this research, an automatic control system is made on paving block molding machine using PLC. The results showed that PLC succeeded in developing a system that works automatically on the machine. Then, the ladder diagram used several instructions, including interlock, timer, counter, and set reset according to how the machine works. Then, the PLC-based automatic control system has a shorter cycle time than the original manual machine. Cycle time has decreased by 15.4%. From this decrease in cycle time, if simulated related to production capacity, an automatic control system can increase production per hour by 300 pcs more than the manually operated machine.
Design and construction of an Arduino-based baby incubator simulator using IoT Rusdiyana, Liza; Jamot Damanik, Joel Juanda; Sampurno, Bambang; Suhariyanto, Suhariyanto; Mursid, Mahirul; Widianti, Ika Silviana
Indonesian Journal of Electrical Engineering and Computer Science Vol 41, No 1: January 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v41.i1.pp99-108

Abstract

This study aims to create a baby incubator simulator equipped with an internet of things (IoT)-based temperature control system using Arduino UNO. We use a DHT22 sensor to measure temperature and humidity, as well as fuzzy logic to ensure more accurate and responsive temperature control. The Thinger.io platform enables real-time monitoring and control of the incubator, providing flexibility and ease of supervision. With fuzzy logic, the temperature control system can handle changes and uncertainties in the incubator environment, providing a smoother response compared to traditional on-off methods. Testing shows that this system has a very low error rate, with an error value of only 0.97%, meaning that the measured temperature is almost identical to the actual conditions inside the incubator. Additionally, the authors used mice as a model for premature infants in the testing. The results showed that the mice's body temperature increased gradually and stably in line with the incubator conditions, reaching the desired temperature within 90 minutes. This demonstrates that our temperature control system is capable of maintaining optimal environmental conditions for premature infants.
Analysis and selection of skf bt2-8131 a roller bearing lubricant for the vertical roller mill at pt. solusi bangun indonesia tuban factory Suhariyanto; Rusdiyana, Liza; Sampurno, Bambang; Hakim, M Lukman; Abimanyu, Abiyyu Abyan
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol 4 No 2 (2025): December
Publisher : Faculty of Vocational Studies - Research Center, DRPM ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213560.v4i2.9361

Abstract

In the industrial world, friction between machine elements such as bearings can affect the performance and service life of components, making lubrication systems based on tribology principles very important. This study analyzes the selection of lubricants for SKF BT2-8131 A roller bearings in a Vertical Roller Mill owned by PT. Solusi Bangun Indonesia, Tuban Factory, with the aim of determining a better lubricant than before and identifying the type of lubricant film formed. The research process involved collecting machine operational data and lubricant specifications, as well as calculating the kappa value and Streibeck curve to determine the type of lubricant layer, such as boundary, mixed, or full film lubrication. The results showed that Pertamina Masri RG 460 lubricant with a kappa value of 1.29 was selected because it had adequate technical performance and was more economical, although Mobil SHC 600 460 lubricant with a kappa value of 1.73 was also recommended if technical performance was the main priority. The results were validated by calculating the predicted bearing life to ensure optimal efficiency and performance.