Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)

IMPLEMENTATION OF FUZZY LOGIC FOR EARLY WARNING SYSTEM FOR FLOOD DISASTER IN CILACAP DISTRICT

2025-04-25T02:47:42+00:00

unexpected flooding. The increasing volume of river water often overflows unnoticed, causing great losses to residents, both in terms of health and economy. A flood Early Warning System (EWS) based on LoRa communication and Arduino Mega2560 microcontroller was developed to address this problem. The system uses ultrasonic sensors to measure water level, DHT11 sensors for temperature and humidity, rain gauge sensors for rainfall, anemometer for wind speed, and SIM900A module to send data to ThingSpeak and website. Different from previous studies that only consider the water level, this EWS uses fuzzy logic by considering rainfall and wind speed for better accuracy. Sensor testing showed that the ultrasonic sensor error reached 2.55%, DHT11 sensor by 3.19%, anemometer sensor by 2.38%, and rain gauge sensor by 2.14%. Data transmission to ThingSpeak takes 11 seconds, with an accuracy of 99.94%, while to the website the average is 15.03 seconds. Fuzzy logic proved effective in improving the accuracy of flood early warnings.

Design of PID Controller using LQR-Based Parameter Selection for DC Motor Position Control

2025-04-25T02:47:42+00:00

DC motors are widely applied in various fields due to their simple design, ease of control, and capability to generate high torque at low speeds. Position control of DC motors is crucial to ensure the performance and accuracy of the motorized electro-mechanical systems. The most common conventional control utilized in DC motors is the Proportional Integral Derivative (PID) controller. However, selecting the proper parameters for that controller is challenging. In this paper, the Linear Quadratic Regulator (LQR) approach is used to determine PID controller parameters for DC motors. The LQR approach, based on optimal control theory, offers a systematic alternative to traditional trial-and-error methods for tuning PID controllers. The proposed method improves the performance and efficiency of DC motors by optimizing the PID parameters, ensuring precise control and energy utilization.

PI Control Application for Low Speed Stepper Motor in Medical Infusion Pump for Flow Rate Stability

2025-04-25T02:47:42+00:00

An infusion pump is an intravenous injection machine for administering high-alert type drugs. Failure to administer this type of drug can result in the patient's death. One of the causes of failure is disturbances in the infusion fluid flow rate, which is influenced by the performance of the stepper motor. This research proposes a PI control design for controlling flow rate stability in infusion pump machines. PI is applied by simulating Simulink using the Ziegler Nicholes type 1 tuning method and creating a 1st-order transfer function using the Cian Cone method. The system is also applied directly to the hardware and tested using standard medical calibration tools. The simulation results show that the PI control can reach the set point and maintain stability with a rise time of 19.49 seconds and a settling time of 32.39 seconds. In actual testing of the infusion pump machine with PI control, the average level of accuracy of the flow rate reached 98%, and the stability reached below 0.3 ml/h. This proves that the infusion pump that has been successfully created can be used to administer high-alert drugs precisely according to the dosage and can be used for a long time with constant delivery quality.

Development and Design A Queue Service System Banyumudal Health Center Using the Waterfall Method

2025-04-25T02:47:42+00:00

Puskesmas Banyumudal is a health care facility in Pemalang Regency, located at KM 1, Banyumudal, Jalan Raya Moga-Karangsari, Moga District, Central Java. This health center aims to improve the standard and equity of health services for all levels of society. one of the main obstacles that is often faced is the lack of management of patient queues that still use manual systems, causing long and irregular queues resulting in inefficient and ineffective patient waiting times. this research was conducted to build a more efficient and effective Banyumudal Health Center queue service system. by using the waterfall method, through this system, it is hoped that service efficiency will increase by reducing the duration of patient queues and improving better service quality. This method involves clear stages, starting from analyzing needs, designing designs, and testing. The results of the study show that the application of the waterfall method in the development of the Banyumudal health center queuing service system is able to improve queue management efficiently and effectively and provide information to patients regarding queue status, as well as facilitate health center officers and doctors in monitoring the queuing process. blackbox testing results show that all systems function properly according to predetermined specifications. thus, the queuing system designed is expected to have a positive impact on improving the quality of queuing services at the Banyumudal Health Center.

Optimization of Small-Scale Coffee Roasting Machine with Servo Temperature and Angle Control for Consistent Roasting Results

2025-04-25T02:47:42+00:00

The coffee roasting process is essential for creating distinctive aromas and Flavors. Manual roasting often results in uncontrolled temperatures, resulting in uneven and burnt coffee beans. Therefore, an automatic roasting machine was developed to control stable temperatures at setpoints of 180°C (light roast), 220°C (medium roast), and 250°C (dark roast), with a monitoring system to ensure optimal results. Servo angle settings are used to optimize temperature stabilization, while a DC fan serves to remove excess heat from the machine. The system uses an Arduino Uno and ESP32, with a Thermocouple Type K temperature sensor and an I2C LCD display for real-time monitoring. Integration with IoT Blynk allows remote monitoring and control through a mobile application. Research shows that a servo angle of 140° provides the optimal temperature increase, while an angle of 100° is effective for lowering the temperature when it exceeds the setpoint. These angles are used in the system to keep the temperature controlled according to the specified target.

Autonomous Camera Tracking System Using Image Processing for Dynamic Educational Content Creation

2025-04-25T02:47:42+00:00

In the context of the Online Learning activity, where video content plays a crucial role in educational materials, the demand for effective video production systems has become essential. Traditionally, at least two people are needed to operate cameras, which poses a challenge due to limited human resources. This study addresses this issue by developing a Camera Position Tracking System using image processing, specifically utilizing the MediaPipe framework for real-time tracking of presenters. The system's mechanics enable a DSLR camera to automatically adjust its position based on the presenter’s movement, detected within a range of 1.5 to 8 meters. The light intensity required for optimal operation is between 125 and 190 lux. The system's success lies in converting detected position data into motor stepper pulses that move the camera, ensuring efficient, cost-effective video production with minimal human intervention.

Improving the Effectiveness of Help Desk Service Management in the Self-Service System at the UIN Sunan Ampel Surabaya Academic Library

2025-04-25T02:47:43+00:00

The increasing reliance on self-service systems in academic libraries necessitates robust service desk man-agement to ensure user satisfaction and operational efficiency. At the UIN Sunan Ampel Library, self-service systems provide convenient access to various services, but their performance remains underexplored. Evaluat-ing the library's service desk management using the ITIL V4 framework reveals critical insights into its effec-tiveness and areas for improvement. The framework’s Service Desk Practice Success Factors (PSF)—Acknowledge, Classify, Own, and Act—are used to assess how well self-service systems align with ITIL best practices. This research adopts a qualitative descriptive methodology, utilizing interviews and data analysis to evaluate service desk processes. The findings indicate significant benefits in accessibility and user empower-ment through self-service features. However, challenges persist, including manual acknowledgment workflows, insufficient SLA implementation, and limited real-time monitoring capabilities. These issues hinder optimal service delivery and responsiveness. To address these gaps, the study recommends integrating automation for acknowledgment tasks, developing measurable SLA policies, and implementing comprehensive training for library staff. Additionally, real-time tracking tools should be incorporated to enhance system efficiency and user experience. Despite these challenges, the study underscores the potential of ITIL V4 to improve library service desk management, ultimately fostering better user satisfaction and operational excellence.

Effect of Tilt Angle on Solar Cell Efficiency and Electrical Energy of Nanofluid Filled Photovoltaic-Termal (PV/T) Systems

2025-04-25T02:47:43+00:00

This study aims to analyze the effect of nanofluid concentration and panel tilt angle variation on photovoltaic-thermal (PV/T) system efficiency using numerical simulation with the Finite Element Method (FEM). The results showed that the optimal nanofluid concentration of 20% resulted in an even distribution of fluid flow, while increasing the concentration to 20% at an inclination angle of π/6 decreased the PV cell temperature, increased the photovoltaic efficiency to 12.04%, and the best electrical power of 36.71 W. The highest thermal efficiency of 69.5% was achieved at a concentration of 20% with an inclination angle of π/6, while the highest total efficiency of 81.7% was achieved at an inclination angle of π/3. The optimal combination of nanofluid concentration and tilt angle was shown to significantly improve the energy efficiency of the PV/T system, making an important contribution to the development of more efficient renewable energy technologies.

Review on Innovative DC-DC Converter Design for High Efficiency and High Voltage Gain Applications

2025-04-25T02:47:43+00:00

This paper reviewed the advancements in DC-DC converter technologies, emphasizing their role in addressing the demands of high efficiency and high voltage gain in renewable energy systems, electric vehicles (EVs), and distributed energy networks. Advanced topologies, including hybrid, quadratic, triple-boost, coupled inductor, and voltage multiplier designs, were evaluated for their ability to overcome the limitations of traditional converters. Key findings highlighted significant improvements in energy efficiency, exceeding 95%, and a substantial reduction in voltage ripple. Performance metrics such as scalability, thermal management, and component stress were analized, demonstrating the suitability of these designs for diverse applications. Comparative analyses illustrate the superiority of innovative designs in meeting the energy needs of emerging technologies. Applications in renewable energy, EV infrastructure, and distributed networks underscore the transformative potential of these converters in optimizing power delivery and enhancing system reliability. This review bridged the gap between theoretical advancements and practical implementations, showcasing the pivotal contribution of DC-DC converter to modern energy systems.

Analysis of Characteristics of Three Phase Transformer Using MATLAB

2025-04-25T02:47:43+00:00

Three-phase transformers are integral components of modern electrical power systems, serving as the backbone of energy transmission and distribution networks. Their primary purpose is to step up or step-down voltage levels efficiently, enabling the transfer of electrical power over long distances with minimal losses. Due to their widespread use in industrial, commercial, and residential applications, understanding the operational characteristics of three-phase transformers is crucial for improving energy efficiency, ensuring reliability, and optimizing performance. The analysis of transformer characteristics, such as efficiency, voltage regulation, power losses, and behavior under varying load conditions. This research aims to analyze the characteristics of three-phase transformers using MATLAB. The results of the analysis obtained in the study of the characteristics of 3-phase transformers produce an active power (P) of 6183.42 W, a reactive power (Q) of 3832.14 VAR, an apparent power (S) of 7274.61 VA and a transformer efficiency of 97.75% with a time of 0.02 s and produces losses in copper of 81.65 W which forms electromagnetic field radiation where the radiation pattern of the electric field (E field) and the magnetic field (H field) is in the form of a polar graph.

User Capacity Optimization Using The Mobility Load Balancing Algorithm For Downlink Data Long Term Evolution

2025-04-25T02:47:43+00:00

The increasing number of users in a Long Term Evolution (LTE) network often decreases network performance. A cell that has high traffic experiences a decline in network performance due to unavailable resources for certain users, while in cells with low traffic, the use of resources in these cells is inefficient. The mobility load balancing (MLB) algorithm balances the intercellular loads in an LTE network and improves the performance by distributing part of the load in a high traffic cell to neighboring cells that have low loads. An activated MLB will detect the network load and calculate the available resource for each cell to determine which cells are overloaded. The MLB will consider the candidate cell where the load could be distributed. MLB simulation results show that the application of MLB has succeeded in reducing the percentage of unsatisfied users by 9.4% and increasing throughput system to 5.617 Mbps.

Statistical Analysis of Protection Current Transformer Performance Based on Error Ratio and Knee Voltage on 20 kV Feeder at Bangka Transmission and Substation Service Unit

2025-04-28T07:20:18+00:00

Current Transformers (CTs) are essential components in power system protection, ensuring accurate current measurement for relay operations.. This study evaluates the accuracy of protection CTs used in 20kV feeders at the Bangka Transmission and Substation Service Unit. Measurements were conducted on CTs with 5 and 7 years of usage to analyze ratio error and knee voltage compliance with IEC 61869-2 standards. The results indicate that all CTs meet the standard, with ratio errors below 1% and knee voltages exceeding 60V. Normality tests confirmed that the data are normally distributed, allowing statistical analysis using t-tests. The t-test results showed no significant difference in ratio error and knee voltage between CTs used for 5 and 7 years. This study concludes that aging over this period does not significantly affect CT accuracy, ensuring continued reliability in power system protection.