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Development of Learning Media for Pneumatic Control Systems for Separation and Transportation of Goods Based on Programmable Logic Controller (PLC) Aldi, Aldi; Akbar, Muhammad; Hamdani, Hamdani; Najib, Nandy Rizaldy
Jurnal Teknologi Elekterika Vol. 21 No. 2 (2024)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v21i2.5105

Abstract

Pneumatic systems have advantages compared to other systems, pneumatic systems can support quality, productivity and efficiency of work. The research process starts from designing, developing existing tools to testing pneumatic system tools controlled using PLC and HMI. The results show that the design and development process started from adding color sensors and HMI from the system to be created. Then make modeling with the Festo Fluidsim application. After the capitalization is carried out, the hardware assembly is divided into two parts, namely the main and supporting hardware. The main hardware consists of a metal separator system, color separator and robotic arm, while the supporting hardware such as tables, conveyors and control panels. Once the hardware is complete, the PLC and HMI programs are made, the PLC uses MELSOFT Series GX Works2 software and the HMI uses Live Studio software. When the hardware and software are complete, testing and data collection of the tool work are carried out. Tool testing is carried out to determine the required bar pressure with a 100% success rate.
Fuzzy Logic Based Automatic Chili Plant Watering and Pest Monitoring Using the Internet of Things (IoT) Najib, Nandy Rizaldy; Tahir, Muhammad; Loloallo, Reginald; Syahban, Aditya Rahmat
Indonesian Journal of Advanced Research Vol. 4 No. 9 (2025): September 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijar.v4i9.15395

Abstract

A challenge many chili farmers currently face is how to streamline watering from manual to automatic for more effective chili plants. This research aims to streamline water use by utilizing fuzzy logic and the Internet of Things (IoT). The method used begins with modeling in fuzzy logic and pest monitoring program code, connecting the system to an Android device. Test results show that the soil moisture sensor is capable of detecting soil moisture in various conditions, both dry and wet. The error tends to be slightly larger due to the increased sensor sensitivity with an average accuracy error below 5%. This sensor is very suitable as an automatic monitoring tool, especially for determining the need for automatic plant watering.