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All Journal SAGA: Journal of Technology and Information Systems Mein: Journal of Mechanical, Electrical & Industrial Technology Sainstech Nusantara
Rama Arya Sobhita
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science

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Anticipation of Deep Discharge of Batteries in Solar Panels Based on the Particle Swarm Optimization (PSO)Algorithm Anggara Trisna Nugraha; Purwidi Asri; Hendro Agus Widodo; Joesianto Eko Poetro; Mohammad Abu Jamiin; Urip Mudjiono; Isa Rachman; Mohammad Basuki Rahmat; Muhammad Naufal Maulana; Muhammad Fikri Fathurrohman; Raimundus Risa Arnestanta; Ivan Azwar Septiadi; Rama Arya Sobhita
SAGA: Journal of Technology and Information System Vol. 2 No. 2 (2024): May 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i2.304

Abstract

Renewable energy is an alternative type of energy that can be used continuously without fear of environmental pollution. One of the things that can be used to get new renewable energy is using solar panels where later the electrical energy produced will be stored in batteries. A part from the advantages of a battery that can store electrical energy, but if it is used excessively and causes the battery to experience a deep discharge condition, steps are needed to over come it.This study uses the Particle Swarm Optimization method as an auxiliary method. And in this research it has been found that the auto switch system can charge battery 1 and battery 2 when the voltage level is below 11.88V or the DoD is already at 55% and stops charging when the voltage level is above 12.86Vfor battery 1and batteries 2.
Efficiency Of Generator Set On Changes In Electrical Load On Fishery Vessels Fahmi Yahya Saputra; Rama Arya Sobhita; Anggara Trisna Nugraha; Akhmad Azhar Firdaus
MEIN : Journal of Mechanical, Electrical & Industrial Technology Vol. 1 No. 2 (2024): MEIN : Journal of Mechanical, Electrical & Industrial Technology
Publisher : P3M Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/mein.v1i2.2

Abstract

Electrical energy is an essential requirement for fishing vessels, and it is primarily generated by diesel-driven electric generators. This energy is utilized for various purposes onboard such as lighting, navigation, and supporting fishing activities including loading and unloading. The efficient operation and longevity of the electric generator onboard depend on ensuring that the load imposed on it does not surpass its capacity. Researchers conducted several phases in this study, including identifying the electrical power distribution system, determining the generator capacity and the electrical load it receives, and calculating the electrical load under various operational conditions. Additionally, the study examined the operational efficiency of the generator under four different conditions. The findings reveal that the fishing vessel employs a radial electrical distribution system and is equipped with two electric generators, each having a capacity of 225 kVA. The generators demonstrate efficient performance across all operational scenarios, with load factors ranging from 79.70% to 83.08%.
Coffee Drying Tool with LQR-PID Control Sindy Yurisma Sheila; Rama Arya Sobhita; Anggara Trisna Nugraha; Rachma Prilian Eviningsih
MEIN : Journal of Mechanical, Electrical & Industrial Technology Vol. 1 No. 2 (2024): MEIN : Journal of Mechanical, Electrical & Industrial Technology
Publisher : P3M Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/mein.v1i2.6

Abstract

Indonesia ranks as the third largest coffee bean producer globally due to its favorable climate for coffee cultivation and production. The drying process is one of the crucial stages in coffee bean processing as it significantly impacts the bean's quality. This study focuses on optimizing the drying process through the implementation of a sun tracking system mechanism. In essence, a sun tracking system is employed to maximize sunlight exposure by controlling the tray's position to constantly align with the sun's movement. The constructed system comprises both mechanical and electrical components. The control methods utilized in this system involve LQR and PID control. Experimental results will be analyzed to determine which controller yields the best performance.
Analysis and Implementation of LQR and LQT Control Strategies for the Maxon RE36 DC Motor Using MATLAB Simulink Environment Nugraha, Anggara Trisna; Mukhammad Jamaludin; Rama Arya Sobhita; Dimas Eka Saputra
SAINSTECH NUSANTARA Vol. 2 No. 2 (2025): May 2025
Publisher : Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71225/jstn.v2i2.97

Abstract

The field of automatic control plays a crucial role in advancing science and technology. Among various actuators, DC motors are widely used but are often prone to overshoot due to their high initial torque and generally unstable performance characteristics. This study aims to determine the most effective control approach for optimizing the performance of the Maxon RE36 DC motor. Two control strategies are evaluated: the Linear Quadratic Regulator (LQR) and the Linear Quadratic Tracking (LQT) method. In a first-order system analysis, the motor's output significantly deviated from the target setpoint of 1, exhibiting an overshoot of approximately 0.505%. The application of the LQR method in output response modeling effectively reached the setpoint without any occurrence of overshoot or undershoot. Conversely, the LQT method achieved the setpoint but introduced a 5.851% undershoot and a 0.7% overshoot, although it demonstrated a rapid response time, achieving steady-state within approximately ±0.5 seconds.Experimental results on the Maxon RE36 DC motor revealed that while the LQT method offered faster settling times, the LQR method produced a cleaner response with no overshoot or ripple, making it more suitable for precision optimization of the motor's dynamic performance.
System Optimization Using LQR and LQT Methods on 42D29Y401 DC Motor Nugraha, Anggara Trisna; Akhmad Azhar Firdaus; Rama Arya Sobhita; Zaki Wicaksono
SAINSTECH NUSANTARA Vol. 2 No. 2 (2025): May 2025
Publisher : Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71225/jstn.v2i2.108

Abstract

Control systems are critical for managing, commanding, and regulating the behavior of dynamic systems. A DC motor converts direct current electrical energy into kinetic energy, requiring positive and negative voltage terminals for operation. Due to their ease of control across wide speed ranges, DC motors are widely applied in various industrial sectors. Speed regulation is typically achieved using control devices tailored to specific system requirements. To optimize DC motor performance, this study employs mathematical modeling and control strategies using MATLAB software. The 42D29Y401 DC motor is modeled and simulated using the Linear Quadratic Regulator (LQR) and Linear Quadratic Tracking (LQT) methods. Simulation results show that the first-order DC motor achieved a stable step response with an amplitude of 3.40, a rise time of 3.11 seconds, and minor overshoot and undershoot values of 0.501% and 1.98%, respectively. The LQR-optimized system improved performance with an amplitude close to 1, a faster rise time of 1.1 seconds, and reduced overshoot and undershoot at 0.505%. Comparatively, the LQR-based system demonstrated better overall performance than the unoptimized model, while the LQT-based system yielded the highest level of performance among all configurations.
Simulation of Motor Speed Regulation Utilizing PID and LQR Control Techniques Muhammad Izzul Haj; Dimas Eka Saputra; Rama Arya Sobhita; Nugraha, Anggara Trisna
MEIN : Journal of Mechanical, Electrical & Industrial Technology Vol. 2 No. 1 (2025): MEIN : Journal of Mechanical, Electrical, and Industrial Technology
Publisher : P3M Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/mein.v2i1.37

Abstract

Indonesia is widely regarded as a pioneer in agricultural innovation, with a strong focus on advancing industrial processes through modern control systems. A key challenge in motorized industrial systems lies in ensuring operational precision and efficiency, especially in applications involving automated machinery. This study explores methods to enhance the performance of induction motor control systems by employing advanced techniques. The primary aim is to ensure reliable and accurate regulation of motor speed and position in industrial environments. By integrating electrical and mechanical components, the system is designed for stable and efficient operation. To achieve these objectives, two control approaches Proportional-Integral-Derivative (PID) and Linear Quadratic Regulator (LQR) are applied and analyzed. Simulations and experiments are carried out to evaluate the effectiveness of each method in ensuring motor stability and operational efficiency. The results indicate that LQR demonstrates higher flexibility and resilience, whereas PID offers a straightforward yet efficient control mechanism. This research advances the field of intelligent control systems for industrial use, emphasizing the critical role of sophisticated control strategies in optimizing motor-driven operations across diverse industrial sectors.
Optimization Control in MG-16 DC Motor Using LQR and LQT Configurations Nugraha, Anggara Trisna; Muhammad Bilhaq Ashlah; Rama Arya Sobhita; Dhadys Ayu Juli Anjhani
SAINSTECH NUSANTARA Vol. 2 No. 3 (2025): August 2025
Publisher : Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71225/jstn.v2i3.105

Abstract

DC motors are widely used electronic components commonly found in everyday applications. Typically, when a load is applied, a DC motor tends to decelerate and fails to maintain a constant speed. To address this, motor speed can be controlled by adjusting the input voltage. However, to maintain consistent speed under varying loads, a control system is necessary. LQR works by adjusting the motor response to closely approach the desired setpoint, while minimizing both overshoot and undershoot within the system. On the other hand, LQT is a linear control strategy designed to ensure that the system output closely follows a time-varying reference or setpoint. When implemented, LQR yields a motor response that aligns with the target setpoint without any overshoot or undershoot. In contrast, if LQR is not applied, the motor response deviates significantly from the desired target and takes a longer time to settle. Meanwhile, the LQT method produces a quicker response reaching steady state in approximately ±0.5 seconds although it does introduce some overshoot and slight ripple in the signal. Despite these minor drawbacks, LQT is often favored over LQR for applications involving the MG-16B DC motor due to its superior speed in reaching the setpoint.
Simulation Analysis of System Optimization Using an EC-Max 40 Type DC Motor Plant Muhammad Izzul Haj; Nugraha, Anggara Trisna; Rama Arya Sobhita; Rony Dwi Kristiawan
SAINSTECH NUSANTARA Vol. 2 No. 3 (2025): August 2025
Publisher : Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71225/jstn.v2i3.107

Abstract

A control system functions to regulate one or more variables, ensuring they remain at specific values or within desired limits. The primary aim is to achieve optimal system performance through effective control strategies. In this study, system optimization is explored within a closed-loop configuration using a DC motor as the plant. The motor selected for this analysis is the EC-Max 40, a direct current motor that converts electrical energy into mechanical motion. Utilizing the motor's datasheet, a first-order mathematical model is developed and implemented in Matlab Simulink for simulation purposes. The system design incorporates both Linear Quadratic Regulator (LQR) and Linear Quadratic Tracker (LQT) methods to evaluate and compare their performance. The analysis focuses on the step response of the system observing how the output behaves in response to input variations both under ideal conditions and in the presence of noise. The simulations reveal that both LQR and LQT methods produce similarly effective results; however, the LQT approach demonstrates a faster convergence to stability compared to the LQR method.
IOT-Based Smart Home Control Design Using Blink Application and Esp8266 Wi-Fi Module Anggara Trisna Nugraha; Ananda Ismul Azam; Rama Arya Sobhita; Epyk Sunarno
MEIN : Journal of Mechanical, Electrical & Industrial Technology Vol. 1 No. 1 (2024): MEIN : Journal of Mechanical, Electrical & Industrial Technology
Publisher : P3M Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/mein.v1i1.5

Abstract

The swift progression of technology has significantly impacted contemporary human existence, leading to an escalating demand for tools that simplify daily tasks. Automation is viewed as a means to reduce time, enhance accessibility, and improve efficiency. Particularly, the adoption of Smart Home technology is becoming increasingly crucial in present times. This research endeavors to develop an innovative prototype for a home equipped with IoT capabilities. The prototype incorporates a range of sensors and components to fulfill various functions: a DHT11 sensor for monitoring room temperature, an MQ-2 sensor for detecting gas leaks, an ultrasonic sensor for object detection, an MC38 magnet sensor for door security, a relay to control lamp switches, and a buzzer for alarms, all managed by a microcontroller. Additionally, the system utilizes a NodeMCU with a Wi-Fi module ESP8266, facilitating communication and control through the Blynk App. The Research and Development (R&D) methodology was employed to create this IoT-enabled Smart Home prototype, aiming to enhance user convenience in daily living.
Performance of Permanent Magnet Synchronous Generator (pmsg) 3 Phase Radial Flux Results Modification of Induction Motor Ahmad Raafi Fauzi; Rama Arya Sobhita; Anggara Trisna Nugraha; Anisa Fitri Santosa
MEIN : Journal of Mechanical, Electrical & Industrial Technology Vol. 1 No. 2 (2024): MEIN : Journal of Mechanical, Electrical & Industrial Technology
Publisher : P3M Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/mein.v1i2.7

Abstract

Abstract: The demand for electrical energy in Indonesia has experienced a significant surge, becoming indispensable for nearly all modern activities. However, despite this surge, the primary energy source for power plants continues to heavily rely on fossil fuels. Consequently, it is imperative to transition towards renewable energy sources to mitigate environmental impact and tackle the prevailing energy crisis. In response to this need, permanent magnet synchronous generators have emerged as a promising alternative within the electricity industry. These generators operate by utilizing permanent magnets to generate a magnetic field within the coil, thereby eliminating the necessity for excitation current. By leveraging renewable energy sources such as wind or hydro power, these generators strive to optimize electricity production and alleviate the ongoing energy crisis. This research project aims to repurpose materials sourced from used water pump motors, including rotors and stators, to construct permanent magnet synchronous generators. The process involves incorporating permanent magnets into the rotor and modifying the original motor winding. Through rigorous testing involving the application of a 40 Ohm load and varying rotational speeds between 2000 and 1600 rpm, the research reveals that the generator can generate a minimum power output of 0.7 Watts at 200 rpm and a maximum power output of 41.8 Watts at 1600 rpm. The optimal efficiency of 75.78% is attained at 400 rpm. Overall, this research underscores the potential of repurposing existing materials to develop renewable energy solutions, offering a sustainable approach to addressing not only the energy needs of Indonesia but also those of other regions globally.
Co-Authors Ahmad Raafi Fauzi Akhmad Azhar Firdaus Ananda Ismul Azam Anggara Trisna Nugraha Anisa Fitri Santosa Ary Pratama Paluga Asri, Purwidi Dhadys Ayu Juli Anjhani Dimas Bayu Dwi Saputra Dimas Eka Saputra Epyk Sunarno Fahmi Yahya Saputra Hendro Agus Widodo Isa Rachman Ivan Azwar Septiadi Joesianto Eko Poetro Mohammad Abu Jamiin Mohammad Basuki Rahmat Muhammad Bilhaq Ashlah Muhammad Fikri Fathurrohman Muhammad Izzul Haj Muhammad Naufal Maulana Mukhammad Jamaludin Rachma Prilian Eviningsih Raimundus Risa Arnestanta Rony Dwi Kristiawan Sindy Yurisma Sheila Urip Mudjiono Zaki Wicaksono