Nur Jamiludin Ramadhan
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Implementasi Algoritma Particle Swarm Optimization pada AS/RS Berbasis Mikrokontroler Arduino Ruminto Subekti; Nur Jamiludin Ramadhan; Agnia Hanifah
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4261

Abstract

Manual warehouse systems in Indonesia cause tracking and storage issues, increasing the risk of damage. Implementing Particle Swarm Optimization (PSO) in Automated Storage and Retrieval Systems (AS/RS) can optimize travel paths, reduce errors, and enhance storage efficiency. Parameters such as particles, iterations, and inertia are applied in this system. This study integrates PSO with Arduino-based AS/RS using the VDI 2206 method, with AS/RS racks designed in a 4x4 matrix. In various case studies, PSO successfully reduced travel distances by 1% to 32% and operational time by 5% to 21%. PSO effectively enhances the operational efficiency of AS/RS by optimizing travel routes, thereby reducing the time needed for storage and retrieval operations. Additionally, it is important to note that the reduction in travel distance is influenced by the initial input addresses without PSO, which might already be near optimal. Thus, while PSO significantly improves efficiency, the extent of reduction can vary based on how close the initial input addresses without PSO are to the optimal route.
Design and Development of a Motorized Electronic Valve as a Flow Control Actuator Based on the ESP32 Microcontroller Nurkamila, Hasna Azkiya; Ridwan; Nur Jamiludin Ramadhan
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 20 No. 1 (2026)
Publisher : Faculty of Engineering, Universitas Brawijaya

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Abstract

Electric actuators have an important role in automatic control systems by replacing manual mechanisms, therefore increasing efficiency through automation. Among the most expensive components in control systems are control valves. In this study, an electronically motorized valve was designed to respond to three types of industrial analog signals. The valve was developed using an ESP32 microcontroller to optimize the performance of the DC motor. The researched methodology followed the VDI 2206 model, which provides a systematic and structured approach to product development through modeling, analysis, and verification. The system is designed to integrate with PLC control using voltage and current signals as inputs. Validation results show that the system achieves multi-input capability with highly linear and accurate position control (R² > 0.99; MAPE 5.96%). Although the functional response to flow rate is also consistent (R² > 0.96), its accuracy is lower (MAPE 24.54%) due to systematic errors primarily caused by mechanical factors such as valve friction and pump pressure.