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Mustika Kurnia Mayangsari
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Maritime in Community Service and Empowerment
Published by Politeknik Perkapalan Negeri Surabaya
ISSN : -     EISSN : 31099335     DOI : https://doi.org/10.35991/micse
Core Subject : Humanities, Science, Education, Engineering,
Humanities Automotive Engineering Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Physics
MiCSE (Maritime in Community Service and Empowerment) - Electrical Focus is a specialized, peer-reviewed journal dedicated to advancing the intersection of electrical engineering, maritime studies, community service, and empowerment. This unique platform seeks to highlight research, projects, and initiatives that leverage electrical engineering innovations within the maritime domain to create positive societal impacts, promote community development, and empower marginalized populations. The scope of MiCSE encompasses but is not limited to the following: - Marine electrical infrastructure - Renewable energy integration - Community empowerment and engagement - Safety, sustainability, and resilience - Interdisciplinary collaboration - Equitable access to energy
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 39 Documents
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Application of Flowmeter Sensor Technology in Ship Auxiliary Engines for Improved Energy Efficiency in the Maritime Community Based on PLC Technology Anggara Trisna Nugraha; Chusnia Febrianti
Maritime in Community Service and Empowerment Vol. 2 No. 2 (2024): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Abstract

The container transport system plays a crucial role in facilitating cargo transfer by simplifying the unloading process to make it more effective and efficient. In container vessel operations, fuel consumption management is a critical aspect that significantly impacts operational costs, accounting for approximately 70% of the total expenses. Therefore, shipping companies must closely monitor fuel consumption to prevent wastage. Without an effective monitoring system, the management cannot track fuel consumption in real-time, which may lead to misuse by crew members. This study aims to implement a flowmeter sensor technology based on Outseal PLC for automatic monitoring of fuel consumption on vessels. The data from the flowmeter sensor will be transmitted to a web server, allowing authorized personnel to access the information for transparent and accurate oversight. The test results of the flowmeter sensor show low error rates of 1.23%, 2.07%, and 2.06%. Thus, this system proves to be effective as a real-time fuel consumption monitoring solution for auxiliary engines, with a reading interval of approximately 1 minute and 58 seconds per liter. This research contributes to improving energy efficiency in the maritime sector while empowering the shipping community with technology that can be accessed by relevant parties, as part of a broader community service initiative.
Design of LQR and LQT Controls on DC Motors to Improve Energy Efficiency in Community Service Programs Fortunaviaza Habib Ainudin; Anggara Trisna Nugraha
Maritime in Community Service and Empowerment Vol. 2 No. 2 (2024): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Abstract

The effectiveness and efficiency of motor speed control are critical for sustainable development, particularly in community-based industries. A control system, defined as a mechanism to regulate, command, and manage a system's state, plays a significant role in optimizing energy usage. DC motors, widely utilized for their linear torque-speed characteristics and high efficiency, are preferred due to their simple control systems and minimal hardware requirements. This research focuses on developing and implementing Linear Quadratic Regulator (LQR) and Linear Quadratic Tracking (LQT) control systems for DC motors, particularly in community service programs aimed at improving energy efficiency in small-scale industries or maritime applications. The study was conducted in several stages, starting with a comprehensive literature review on first-order mathematical modeling, LQR, and LQT methodologies using journal articles, papers, videos, and books. Subsequently, DC motor specifications were obtained from datasheets and converted into first-order mathematical models. The LQR formulation was applied to derive state-space models through MATLAB programming. Experimental results demonstrate that LQR and LQT controls significantly enhance motor speed optimization while minimizing input signals. However, the introduction of noise or disturbances in the system caused instability, resulting in non-uniform motor speed. The study highlights the potential of LQR and LQT controls to improve energy efficiency in DC motor applications within community service programs. These findings can benefit communities by reducing operational energy costs and supporting sustainable technology adoption.
Integration of LQR and LQT Optimal Control Technologies in DC Motors for Energy Empowerment of Maritime Communities Using Simulink Matlab Ivan Nanda Septiandi
Maritime in Community Service and Empowerment Vol. 2 No. 2 (2024): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Abstract

The rapid advancement of technology has significantly influenced various aspects of human life, including the field of electrical systems and control technologies. Access to information and knowledge has become increasingly seamless, fostering innovation and the development of sustainable solutions for future challenges. One critical aspect of technological advancement lies in control systems, which play a pivotal role in modern applications such as ship steering systems, aviation, and industrial automation. Control systems are essential in enhancing product performance and efficiency, especially in optimizing the operation of DC motors. A DC motor, which converts electrical energy into kinetic energy, requires precise control mechanisms to achieve optimal performance. This study focuses on the optimization of DC motors using Linear Quadratic Regulator (LQR) and Linear Quadratic Tracker (LQT) methods. By simulating these control techniques in MATLAB Simulink, this paper evaluates the performance of DC motors under the influence of added noise. The results aim to demonstrate how these advanced control strategies can improve energy efficiency and system stability. Furthermore, the research highlights the practical application of this technology to empower maritime communities by addressing energy challenges, promoting sustainability, and supporting community-based technological adoption.
LQR and LQT System Optimization Models to Improve the Output Response Performance of Brushless DC Motors (BLDC) in the Context of Maritime Community Empowerment Ilham Akbar Syafa'atullah
Maritime in Community Service and Empowerment Vol. 1 No. 1 (2023): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Abstract

Brushless DC Motors (BLDC) are essential components commonly found in industrial settings and daily applications. To ensure optimal performance, control systems are required to enhance the operational efficiency of these motors. Modeling plays a critical role in determining whether the inherent response of a BLDC motor, even before applying a load, meets the desired performance criteria. Common plant models include SISO, SIMO, MISO, and MIMO systems, each requiring a mathematical representation to illustrate system responses through graphical outputs generated using software tools. This research focuses on the mathematical modeling of first-order and second-order BLDC motors, specifically the 42BLFX02 type, and examines their responses under different configurations, both with and without noise. In real-world scenarios, it is unrealistic for a plant to operate without disturbances, with internal noise being a common issue that impacts system performance. The study aims to compare the responses of first-order and second-order BLDC motors modeled in SISO, SIMO, MISO, and MIMO configurations, highlighting the effects of noise disturbances. Results indicate that the SISO model without noise exhibits the most optimal response, characterized by linear behavior and the absence of ripples. Additionally, second-order mathematical models produce responses closer to the setpoint values compared to first-order models. In MISO and MIMO configurations, the system's output responses tend to align with the shape of one of the input signals. Furthermore, noise inclusion causes the motor's output response to mimic the shape of the introduced noise signals. This study contributes to the development of control systems by providing insights into motor response behavior under various modeling configurations. The findings have significant implications for empowering maritime communities, particularly by optimizing energy-efficient BLDC motor applications in vessels to improve operational reliability and reduce energy consumption.
Optimization of LQR and LQT Control Systems on PG 28 1:16 Carbon-brush DC Motors for Technological Capacity Building and Productivity in Agricultural, Educational, and Creative Industry Communities Mochammad Husain Purendatama
Maritime in Community Service and Empowerment Vol. 2 No. 2 (2024): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Abstract

DC motors are widely used for their high torque, and one of the key methods for optimizing their performance is through speed control. This study explores the use of wireless communication, specifically radio waves, to enable control systems without requiring direct line-of-sight between transmitter and receiver. The research investigates various configurations, including SISO, SIMO, MISO, and MIMO, to improve data transmission and channel capacity, with multiple antennas (4, 8, and 16) and an SNR range of 0–30 dB. The results demonstrate significant improvements in data rate and system reliability. Linear Quadratic Regulator (LQR) and Linear Quadratic Tracking (LQT) control strategies are applied to optimize the performance of DC carbon-brush motors (PG 28 1:16). LQR calculates an optimal input with a constant feedback gain matrix to stabilize the system, while LQT ensures the output follows a predefined trajectory. MATLAB Simulink is used for simulation and analysis. This research focuses on community service applications, showing how these control systems can benefit agricultural, educational, and creative industries. In agriculture, they can enhance irrigation systems to reduce waste and labor. In education, they provide hands-on STEM learning experiences in vocational schools. In the creative industry, motorized machines can increase productivity in small-scale manufacturing, such as textile production. The findings demonstrate how advanced control systems can drive technological capacity building and improve productivity across different sectors, contributing to sustainable development and local economic growth.
Evaluation of the Effectiveness of the Use of LQR-LQT Control System on DC Motor Dunkermotor GR30X10 for Energy Efficiency Improvement in Technology-Based Community Empowerment Program in Village X with SISO Approach Using MATLAB Simulink Mochammad Nawal Gibran
Maritime in Community Service and Empowerment Vol. 1 No. 1 (2023): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Abstract

This paper presents a modeling of the LQR and LQT control systems simulated in a SISO (Single Input, Single Output) setup using MATLAB Simulink. The simulation is conducted on wireless communication signals, where the input signal transmitted is expected to match the output at the receiver. However, during data transmission, disturbances such as noise often occur, which are typically outside the sender's control. Therefore, this research explores the differences between a standard SISO system and one that includes noise disturbances. The findings are significant in demonstrating the effect of noise on the efficiency of communication systems and how advanced control methods like LQR and LQT can be utilized to mitigate the impact of such disturbances in real-world applications, particularly in the context of community empowerment programs. These programs leverage technological innovations to optimize energy usage and improve productivity in rural areas.
Optimization of RF 370 Type DC Motor System with LQR and LQT Method Approach in Community Service Program to Improve Linear Dynamics-Based Control System Performance Mohammad Ryan Fauzi
Maritime in Community Service and Empowerment Vol. 2 No. 2 (2024): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Abstract

The application of DC motors is widely recognized due to their suitability for various control-based systems, particularly in industrial and community-driven applications. In community contexts, precise motor control systems are essential for improving productivity and system efficiency. This study focuses on optimizing the performance of the RF-370 DC motor using the Linear Quadratic Regulator (LQR) and Linear Quadratic Tracker (LQT) methods, which are well-known for their capability to design efficient and responsive control systems. DC motors play a pivotal role in both advanced technologies and industrial processes. Specific examples of their applications include spacecraft navigation, missile guidance, aircraft control systems, and satellite positioning. In industrial settings, DC motor control is critical for regulating production machines during operations, such as controlling pressure, temperature, flow, friction, and humidity. The growing demand for energy-efficient and high-performance systems has made optimal control a crucial area of research. Optimal control focuses on achieving a balance between performance objectives and technical constraints to create systems that operate efficiently within physical limitations. This involves designing controllers that minimize deviations from desired behaviors while maintaining system stability. The LQR method, for example, calculates optimal control actions by minimizing a defined cost function that balances control effort and system state deviations. Similarly, the LQT method enhances system performance by precisely tracking reference signals. This research highlights the potential of integrating LQR and LQT methodologies into community service initiatives. By applying these advanced control techniques to small-scale industries and educational training programs, the study demonstrates the practical benefits of improving local technological capacities and fostering innovation. The outcomes of this research are particularly relevant for communities seeking to adopt affordable and effective motor control solutions in sectors such as agriculture, creative industries, and vocational education.
Optimizing DC Motor Control for Energy Efficiency in the Maritime Community with Linear Quadratic Regulator and Linear Quadratic Tracking Based on MATLAB Simulink Imam Mursyid Muttaqin
Maritime in Community Service and Empowerment Vol. 2 No. 2 (2024): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Abstract

This paper presents a comparative analysis between classical control techniques, such as Linear Quadratic Regulator (LQR), and modern control methods applied to motor control systems (Taini & Triwiyatno, 2019). Motor control systems are essential components in modern systems, requiring linear control strategies to optimize motor performance, particularly when faced with noise or operational disturbances. Traditionally, the Linear Quadratic Regulator (LQR) has been widely utilized. However, under certain conditions, its performance is deemed suboptimal (Riski Hanifa et al., 2018). As a result, there is a growing need for the development of more advanced and efficient control techniques, such as the feedback Linear Quadratic Tracking (LQT) method (Albar, 2018). A comparative analysis of performance response times under noisy conditions was simulated using MATLAB/Simulink. The simulation results show that the LQT control method outperforms LQR in terms of response time, exhibiting fewer overshoot and undershoot phenomena when noise is introduced before reaching the settling time (Andria et al., 2014). On the other hand, the LQR control method generates a transient response with a 0.7% overshoot before reaching the settling time. The Linear Quadratic Tracking (LQT) method, which is designed to track a predefined input path, successfully controls the system's output by adjusting the motor's speed and position. This method is especially useful for ensuring stability and minimizing disturbances during operation, even when faced with external noise. The results indicate that both LQR and LQT controllers were able to track the desired inputs effectively, maintaining stable performance despite their individual limitations. This study contributes to advancing the practical application of control systems in maritime communities, where motor efficiency and stability are crucial for supporting economic empowerment and sustainability in small-scale maritime operations.
Utilization of Linear Quadratic Regulator (LQR) and Linear Quadratic Tracker (LQT) Models for Improving Energy Efficiency in RS 224-8636 DC Motors in the Context of Community Service Hulyan Denny Afriyansah
Maritime in Community Service and Empowerment Vol. 2 No. 2 (2024): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Abstract

Optimal control systems have gained significant attention in recent years due to the growing demand for high-performance systems. The optimization concept in control systems balances the selection of performance indices and engineering constraints to achieve an optimal control system within physical limitations. In addressing optimal control systems, it is essential to determine a control rule that minimizes the deviation from ideal system behavior. This study focuses on the application of Linear Quadratic Regulator (LQR) and Linear Quadratic Tracker (LQT) models to improve energy efficiency in DC motors, specifically the RS 224-8636 model, as a solution for community service in maritime settings. The research begins by identifying the DC motor's parameters through datasheet analysis and simulating the control model using MATLAB software. After obtaining the necessary datasheet information, first-order mathematical modeling is conducted. The next step involves testing the LQR and LQT circuits in MATLAB, followed by analyzing the results and drawing conclusions. Additionally, the experiments include comparing first-order Simulink simulations with simulations of LQR under two conditions: without noise and with noise interference. The findings indicate that the addition of noise introduces significant deviations in the system's response. Noise interference degrades the quality of the received signal, leading to disruptions in data transmission and processing. These results are particularly relevant in designing robust control systems for real-world applications in energy optimization for maritime communities. By addressing challenges such as noise interference, this research contributes to the development of resilient and efficient energy systems, which can be implemented to enhance the sustainability and economic independence of communities.
Effect of PHP Preprocessing and Optimization of Enzymatic Saccharification on Bioethanol Production from Teki Grass with Its Benefits as Ship Fuel in Supporting Energy Availability for Ship Fuel in Coastal Areas Rosyidah Khoirunnisa Al-ghiffary; Riyad Khoirul Anam
Maritime in Community Service and Empowerment Vol. 2 No. 2 (2024): MiCSE : Maritime in Community Service and Empowerment
Publisher : Politeknik Perkapalan Negeri Surabaya

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Abstract

The availability of environmentally friendly energy as ship fuel in coastal areas is one of the challenges faced today. One alternative that can be used is bioethanol. This study analyzed the potential of Cyperus rotundus (teki grass) as the main ingredient of bioethanol G2 through preprocess-PHP and optimization of enzymatic saccharification. Preprocess was carried out at two temperatures (40°C and 50°C) with time variations, followed by saccharification and fermentation using Aspergillus niger and Saccharomyces cerevisiae. The results showed that optimal saccharification in preprocessing at 50° C produced 13.66% cellulose content. The best bioethanol content was obtained at a fermentation time of 7 days with a temperature of 38°C. This research contributes to the development of an effective method for producing bioethanol from teki grass, supporting the sustainability of renewable energy while considering environmental aspects.

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