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The problem with a 4-stroke gasoline engine-driven electric generator is a decrease in tool performance due to wear on important components for the stator, cooling fan, air filter, oil filter, and gasket. The purpose of component replacement planning is to obtain replacement costs, maintenance schedules in 2027, and the ratio of maintenance costs to profits. The component replacement planning method includes collecting maintenance data from previous years, applying the inspection-replace-repair-overhaul (IRRO) method, assessing component conditions, predicting component lifespan, predicting labor costs, predicting supporting equipment to be used in maintenance, predicting spare part replacement times, predicting maintenance costs in 2027, and calculating the ratio of maintenance costs to profits. The results of the replacement planning obtained maintenance costs in 2027 amounting to IDR 570,007,- with an estimated electric generator rental rate of IDR 30,000,-/hour which has the potential to be rented for 128 hours/year, a profit of IDR 3,840,000,- was obtained, and the ratio of maintenance costs to profits was 14.84% which implies that a 2.5 kW electric generator that uses gasoline-pertalite fuel of around 1.5 liters/hour at maximum power is still suitable for use in the next few years and has the potential to generate profits.

The decrease in student enthusiasm for learning at MAN 2 Blitar is caused by the limited physical references in the madrasah library, thus hindering the expansion of students' knowledge. To overcome this, madrasas provide Wi-Fi facilities as an alternative learning medium to increase learning motivation, especially in fiqh subjects. This research uses a qualitative approach with a case study type. Data sources include Madrasah Heads, Curriculum Waka, Fiqh Teachers, and MAN 2 Blitar students. Data collection techniques are carried out through interviews, observations, and documentation. Data analysis used data reduction, data presentation, and conclusion drawing techniques, with the validity of the data tested through triangulation, extension of participation, and peer discussion. The focus of this research includes the urgency, implementation, and barriers and solutions for the use of Wi-Fi in increasing motivation to learn fiqh. The results show that the use of Wi-Fi is important because it can reduce the economic burden on students, facilitate the learning process, and create a varied and innovative learning atmosphere. The implementation of Wi-Fi is carried out through online article searches, the use of the Canva application for presentations and poster assignments, and the use of learning videos from YouTube. The obstacles faced include unstable networks, power outages, and misuse of internet access, which are overcome by the addition of routers, the provision of generators, as well as supervision and restrictions on the use of student devices.

Biomass is one of the materials that can be utilized as fuel. To ensure optimal quality, effective management of biomass is required to maximize its potential. One possible approach is the application of a biomass stove fueled by rubber wood pellets. By integrating a thermoelectric generator, data can be obtained to determine whether all aspects meet the established standards. This system is designed to generate electrical energy from combustion heat, supported by components such as a buck-boost converter and a 3V DC lamp. Testing was carried out using proximate and ultimate analyses on the fuel as well as the Water Boiling Test (WBT) on the stove, referring to SNI 8021:2020 and SNI 8021:2014 standards. The results showed that rubber wood pellets contained 7.64% moisture and had a calorific value of 4050 kcal/kg. The stove demonstrated an efficiency of 23.53%–37.28% and a fuel consumption rate of 0.61–0.77 kg/hour, both of which meet the requirements. In addition, the thermoelectric generator produced a voltage of 3.6 V and an electric current of 0.05 A, which are higher than those reported in previous studies (2.06 V and 0.01 A, respectively). Therefore, this thermoelectric biomass stove system is considered successful and feasible for further development as an alternative energy application.

The availability of electrical energy is one of the important factors during learning activities. However, because the electrical system can be said to be very complicated, starting from the generator center all the way to the consumer, there will most likely be a disruption that causes the flow of power to the consumer to be cut off. One of the factors that affect includes environmental factors, maintenance and other factors, so that the learning process is slightly hampered. The purpose of this research is to maintain electricity supply by automatically switching sources and utilizing renewable energy as a reserve for lighting students' practice rooms. Therefore, a system is needed that automatically regulates the switching of primary sources to backup sources. Automatic Transfer Switch or ATS is a device that automatically switches the main power source from PLN to a backup source such as solar panels by setting the time using Time Delay Relay (TDR). TDR functions to regulate the duration of the power source change operation to meet load needs, especially on small loads such as student practice rooms with a voltage of 220 Volts in one language. The advantage of this system is that it is able to automatically switch electricity supply between PLN and Solar Panels with a controlled time lag. The research method involves the installation of electrical panels and Solar Panels using Solar Charger Controller or SCC, Inverter devices. At the time of the study, the adjustment of the TDR setting to set the time lag on the ATS. SCC settings are carried out to obtain Inputs and Outputs in the optimal battery charging process where the measurement results show that When the load of the incandescent lamp is increased from 50Watt to 300Watt, the current increases from 4.47A to 25.2A, while the voltage decreases from 11.7V to 9.8V. In conclusion, the greater the load, the solar panel voltage decreases and the current increases. The results of the study show that the implementation of the automatic transfer switch system is able to automatically switch the electricity supply between PLN and Solar Panels with a controlled time lag.

This study analyzes the potential use of solar cells as a renewable energy source on the MV SARI INDAH. With the increasing demand for energy and the negative environmental impacts of fossil fuels, solar cells provide a promising eco-friendly alternative. The research focuses on developing a prototype system to charge batteries using solar power, converting DC power into AC for ship operations. The methodology includes measuring sunlight intensity, current, and output voltage, while also calculating the battery capacity and the ship’s electrical load. Tests were conducted at various tilt angles, with data recorded hourly over two days to assess performance. The results show that a 75° tilt angle yields the highest voltage, current, and power output when compared to other angles. Based on these findings, the study recommends installing solar panels at a 75° angle on the compass deck. The system design utilizes two panels positioned opposite each other, forming a 150° angle to optimize energy capture. This setup is capable of supplying power to key areas on the ship, such as seven lamps in the E/R 2nd Deck, Control Room, Emergency Generator Room, and CO₂ Room. The system is designed to meet the total daily energy demand of approximately 1,400 Wh, which can be efficiently fulfilled by eight solar cells rated at 50 Wp each, providing a sustainable and efficient energy solution for the vessel.

This research aims to develop and evaluate the performance of a steam plant prototype designed as an alternative source of electrical energy to support the Vessel to Grid (V2G) concept. Utilization of backup energy on ships is becoming important as electricity demand increases and demands for a more sustainable electrical system. This system relies on ESP32 microcontroller technology as a control center that functions to monitor and control several key parameters, including steam pressure, combustion temperature, boiler water level, and the generated electrical voltage. The research method used is an experiment with a static and dynamic testing approach. Static testing is carried out to measure the performance of main components such as the boiler, turbine, and generator separately, while dynamic testing focuses on evaluating the overall system by involving the integration of sensors and supporting actuators. The test data is then analyzed quantitatively to determine the system's response to variations in steam pressure, temperature, and other operational conditions. The results show that the steam produced by the boiler is able to rotate the turbine, thereby driving the generator to produce electricity. The maximum voltage achieved is 25.7 volts at a steam pressure of 50 psi. The highest energy conversion efficiency was recorded at 4%, while the lowest efficiency was 0.9%. These findings demonstrate that, despite its relatively low efficiency, the prototype can function as an alternative energy source and emergency backup solution. Thus, this research provides an initial contribution to supporting the implementation of the V2G concept through the development of a small-scale steam plant-based energy conversion system.

As an archipelagic country, Indonesia has significant potential for the utilization of renewable energy, particularly wind energy in maritime areas with low wind speeds (3–6 m/s). This study aims to design and test a vertical Savonius wind turbine system equipped with a Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) algorithm as a power source for shipboard water heating systems. The research method applied is Research and Development (R&D), integrating several components such as a DC generator, full-wave bridge rectifier, INA219 current sensor, anemometer cup sensor, ESP32 microcontroller, and a monitoring interface utilizing Google Spreadsheet and a 20x4 LCD. The system was tested under two operating conditions: without MPPT and with MPPT. The experimental results show that the application of the MPPT algorithm successfully increased power output by up to 272.64% while maintaining voltage stability despite varying wind speeds. Nevertheless, the average output power of 2.605 W remained insufficient to meet water heating requirements within a short time. For example, charging a 12V 50Ah battery would require approximately 9.6 consecutive days of operation, highlighting the system’s limitations in high-demand scenarios. Despite these constraints, the findings demonstrate that the vertical Savonius wind turbine integrated with MPPT has strong potential as a clean and environmentally friendly alternative energy solution for maritime applications, particularly for small-scale onboard electrical loads. This study contributes to renewable energy utilization in the shipping sector and provides a foundation for further technological development and optimization.

Asynchronous motors, commonly known as induction motors, are widely utilized due to their robustness, reliability, and efficiency in both industrial and household applications. These motors typically operate by converting electrical energy into mechanical energy through the interaction between a rotating magnetic field and the rotor. Under normal operating conditions, the rotor speed is always slightly less than the speed of the magnetic field, which is known as "slip." However, when the slip becomes negative, meaning that the rotor speed exceeds the speed of the rotating magnetic field, the motor begins to function as a generator. This condition occurs when the motor is driven above its synchronous speed by an external mechanical force, causing the rotor to generate electrical power. Using an asynchronous motor as a generator offers several notable advantages. One of the key benefits is its ability to produce a pure sine wave voltage, which is crucial for various applications that require stable and high-quality electrical power. Since these motors do not use brushes, they are free from the problems associated with brush wear and maintenance. Moreover, they do not generate radio frequency interference (RFI), making them suitable for environments sensitive to electromagnetic disturbances. The use of an asynchronous motor as a generator also provides the ability to function as a rotary phase converter. This is especially beneficial in applications where three-phase power is unavailable, but the load requires it. To facilitate this process, a capacitive voltage is required to induce excitation in the rotor. The capacitive current is supplied by an additional capacitor, which is installed in parallel with the motor output. This capacitor helps maintain the necessary phase shift and enables the motor to generate the required three-phase power.

The Paiton Steam Power Plant (PLTU) is one of the main sources of electrical energy in East Java, which plays a vital role in maintaining a sustainable electricity supply. The reliability of generator units is a key element in maintaining stable energy distribution. However, the high frequency of sudden generator failures poses serious challenges, such as increased downtime and increased maintenance costs. To address these challenges, this study aims to design a generator maintenance prediction model based on the Naive Bayes algorithm with a predictive maintenance approach. This study uses historical maintenance data and key sensor parameters such as temperature, oil pressure, and vibration as input. The data is analyzed through several stages, namely data preprocessing, selection of relevant features, and labeling generator conditions into three categories: Normal, Warning, and Critical. The Naive Bayes model is trained to classify the data probabilistically to generate predictions of future generator conditions. Model evaluation using accuracy metrics and a confusion matrix shows that the model successfully achieved an accuracy rate of 89% and was able to provide early warnings of potential failures up to 3 days before failure occurs. The implementation of this system is expected to support the shift in maintenance strategies from reactive and scheduled systems to data-driven predictive systems. Implementing failure predictions allows the technical team at the Paiton PLTU to conduct planned maintenance, avoid sudden disruptions, and extend equipment lifespan. Thus, this model has the potential to reduce operational downtime by up to 25%, while providing significant savings in operational and logistics costs. This research also shows that integrating machine learning technology into energy facility management can improve the efficiency and resilience of the overall electric power system.

This study examines the role of Artificial Intelligence (AI) in piano education through a qualitative review of six recent academic sources. AI technology has brought about significant transformations in music learning methods, particularly for the piano instrument. Various AI applications such as automated performance feedback systems, musical accompaniment generators, technical error detection devices, and adaptive learning platforms have enabled new approaches to teaching and learning. AI provides instant feedback, tailored exercises to individual abilities, and creates more interactive and flexible learning environments. These innovations are considered to support the development of students' technical skills more effectively, while increasing learning motivation through personalization and ease of access. Furthermore, this study examines the information systems that support these AI applications, including human-computer interaction, audio signal processing, and the use of machine learning models to recognize playing patterns and technical errors. While AI offers significant benefits, concerns arise regarding its limitations in understanding and responding to the emotional aspects of music. AI is not yet capable of fully supporting the development of subjective and complex musical expression. Over-reliance on this technology is also feared to undermine students' critical thinking, artistic sensitivity, and creativity. Therefore, this study emphasizes the importance of a balanced integration between AI technology and human pedagogical roles, with the teacher remaining the primary facilitator in fostering expression, interpretation, and artistic values in piano learning. The study recommends further research on emotionally responsive AI, blended learning models, and long-term evaluation of AI's impact on students' artistic and musical development.  

A 300 kVA generator set is an important tool as a backup power source in many sectors. Manual monitoring of generator set performance is often inefficient and can cause delays in detecting problems. Various advances in Internet of Things (IoT) technology have enabled the design of remote monitoring systems to overcome these limitations. This study aims to develop an IoT-based monitoring tool capable of monitoring important generator set parameters such as voltage, current, power, and engine temperature in real-time. This will enhance generator set management efficiency and reduce the risk of damage. The method used is an experimental approach involving the creation of an IoT-based monitoring system prototype. Operational data from the generator set is collected using sensors and then transmitted to an IoT platform for analysis. This research uses PZEM-004T sensors to monitor parameters such as power, current, and voltage. RTD PT100 sensors monitor parameters such as engine temperature, oil temperature, and turbo temperature. Honeywell PX3 sensors monitor oil pressure. Honeywell 1GT101DC sensors monitor engine speed. The results of the study show that the device works well with an average error of 0.76% from the sensors used. The greater the distance between the Wi-Fi modem and the device, the slower the data response speed.

Small-scale Hydropower Plants (HPP) are an effective renewable energy alternative to meet electricity needs in remote areas. This study aims to develop and test a small-scale HPP model using a 24-volt DC generator as the main component. The development process involves analyzing water flow rates, head height, and the conversion of mechanical energy into electrical energy. The 24-volt DC generator was chosen due to its availability, high efficiency, and ease of integration with energy storage systems.This small-scale HPP model is expected to provide a reliable electricity solution for households or small communities, particularly in areas not yet connected to conventional power grids. This study also paves the way for further development, especially in optimizing design and utilizing more efficient components. With a generator capacity of 24 volts, the voltage produced will tend to be stable compared to a generator with a capacity of 12 volts. So that this study is able to provide an accurate impact given by the water discharge that drives the.

Generator Set Service Management is the process of organizing maintenance, repair, and upkeep activities of generator sets, starting from planning, implementation, evaluation, control, and improvement of services to ensure the generator machine continues to operate effectively and efficiently. The research was conducted at PT. Sigma Quantum Insani, located in Balikpapan, East Kalimantan. The problem addressed in the research is the frequent delays in completing scheduled tasks within the generator set service management activities. The purpose of the study is to determine the critical path of activities and identify the duration of the critical path. From the analysis using the Critical Path Method (CPM) assisted by MS Project software, the identified critical path activities are: A1-B1-B2-B3-B4-B5-B6-B7-B8-B9-B10-B14-B16-B17-C1-C2-D1-D2-D3, which include DO approval, engineering scope, painting scope, and delivery scope. The total time obtained for the critical path is 38 days, resulting in a time efficiency of 8 days in the generator set service process.

The Industrial Design Rights of the Koper Generator have been revoked based on the Decision of the Central Jakarta Commercial Court No. 78/Pdt.Sus-HKI/Desain Industri/2023/PN.Niaga,Jkt.Pst. However, even though the registration of the Koper Generator Industrial Design has been revoked, the rights holder continues to exercise his economic rights, thereby causing real losses to the Plaintiff. Therefore, the Plaintiff filed a lawsuit for infringement of industrial design rights and a claim for compensation. The decision on the lawsuit basically rejected the Plaintiff's lawsuit, on the grounds that the Plaintiff did not have legal standing to file a lawsuit for infringement of industrial design rights and a claim for compensation.Based on the results of the study, it was found that legal protection for related parties or parties interested in industrial design rights is only related to filing a lawsuit for cancellation of industrial design rights, but cannot reach legal protection to file a lawsuit for infringement of industrial design rights and a claim for compensation; Legal considerations of the Panel of Judges of the Commercial Court in case No. 76/Pdt.Sus-Hki/Desain Industri/2023/PN.Niaga.Jkt.Pst, is not appropriate, because it does not consider the fact of bad faith from the Defendants who continue to exercise their industrial design rights, even though their industrial design rights (Genset Koper) have been revoked by a court decision. The fact of direct losses suffered by the Plaintiff is not taken into consideration. This can make the judge's decision based on formalistic or procedural justice.

The knee is the largest joint in the human body. Like other joints, the knee consists of several structures, such as muscle cartilage, ligaments, tendons, and nerves. Almost all leg movements depend on the knee joint. Therefore, the Knee Brace or Health Knee Brace is a tool designed to provide stability support and reduce knee pain. The purpose of this study was to design and build an Arduino-based knee pain therapy tool and to test the safety and effectiveness of the tool in reducing knee pain. This tool is designed using Arduino Mega as a microcontroller, using a DS18b20 sensor that functions as a temperature reader on the Knee support which has a heater pad as a heat generator, a Vibration Motor as a vibration effect giver on the tool and a 2.4 TFT LCD Touch Screen as a display and a 12V adapter on this tool. According to the analysis of the tool made by the researcher, based on the results of the function and performance tests, the Arduino-based Knee Pain Therapy tool can function properly and safely.

Remote islands in Indonesia face significant challenges in achieving sustainable electricity supply. This study analyzes the technical and economic feasibility of implementing a hybrid Solar Power Plant (PLTS) and Wind Power Plant (PLTB) system on Dudepo Island, North Gorontalo Regency. With an average solar radiation of 5.2 kWh/m²/day and wind speed of 4.8 m/s, the hybrid system is designed to supply approximately 97% of local electricity demand with an efficiency of 85%. Simulations using HOMER Pro reveal an optimal configuration of 100 kW PLTS, 60 kW PLTB, and 300 kWh battery storage. Economic analysis indicates a Levelized Cost of Energy (LCOE) of IDR 1,450/kWh, more affordable than conventional diesel generators, with an eight-year payback period. The system’s implementation has enhanced community well-being by providing stable electricity access for education, healthcare, and economic activities. Moreover, it contributes to carbon emission reduction by up to 120 tons of CO₂ annually. Technical challenges and local human resource capacity necessitate sustainable management strategies, including technician training and IoT-based monitoring systems. This study offers recommendations for sustainable renewable energy development on remote islands as a model for environmentally friendly energy transitions.

This research aims to analyze the performance comparison of several AI Image Generator platforms in generating images based on text prompts, considering the influence of internet speed on rendering time. The platforms tested include Blackbox AI, Craiyon AI, Dreamina AI, and Freepik AI. Testing was conducted using two types of internet providers, namely XL and Indihome, to evaluate differences in rendering time and the accuracy of the generated images. The results indicate that internet speed significantly affects rendering time, with Freepik AI showing the greatest impact. Additionally, the accuracy of the generated images varies depending on the platform's ability to translate text prompts into images. These findings provide insights into the factors influencing the performance of AI Image Generators, particularly in the context of internet speed and output accuracy.

Generators are an important component in electrical generation. One of the disturbances that occurs in the generator is a short circuit fault. PT Oki Pulp and Paper has a Diesel Generator which is equipment that can be used as an alternative electrical generator to meet backup electricity needs, when a trip / shutdown occurs, the diesel generator will become backup power. The diesel generator observed is YCSR with a capacity of 3875 KVA/380 Volts. The purpose of this research is to analyse the Short Circuit Disturbance of Diesel Generator YCSR 3875 KVA and analyse the calculation of the time required for Over Current Protection on short circuit disturbance of Diesel Generator YCSR 3875 KVA. The research was conducted at the DG House of PT Oki Pulp and Paper in December 2024. The results of the short circuit fault analysis obtained are 17,042.40 A. The time required for the relay to disconnect the electricity during a short circuit is 4.09 seconds. The time obtained from the calculation is quite short, it can be seen that the short circuit fault that occurred was 17,042.40 A. To get the results of the relay working time, there is a calculation to find out how much TMS is determined through calculation, from the calculation getting the TMS result of 1,007 seconds. With TMS = 1.007 seconds, calculations are carried out to find the time required for the overcurrent relay to send a signal to the circuit breaker.

Biogas is an alternative energy source that is environmentally friendly, cheap, easy to obtain and renewable. In general, all types of organic materials can be processed to produce biogas, however only homogeneous organic materials (solid and liquid) such as manure and urine (urine) of livestock are suitable for a simple biogas system. Biogas can be burned like LPG and on a large scale can be used to generate electricity, so that biogas can be used as an alternative energy source that is environmentally friendly and renewable. To determine the performance of biogas as an alternative energy source, in this research the method used is to compare the performance of Biogas with LPG gas as a source of electrical energy. Analysis of trial data per minute (RPM), with varying load levels, shows that the RPM of generators using LPG only decreases slightly as the electrical load increases, which shows that the generator is able to maintain more consistent performance. The RPM produced by LPG, which ranges from 2358 to 2420 RPM, indicates that the engine is running faster and more efficiently, while biogas has a lower RPM, ranging from 1715 to 1820 RPM, which indicates slower operation. LPG efficiency ranges from 89.60% to 98.12%, while biogas efficiency ranges from 74.67% to 89.60%. Even though biogas shows less stable performance than LPG, biogas still has potential as an alternative fuel, especially in areas that have limited access to LPG but have abundant sources of biogas raw materials. The use of biogas can reduce dependence on fossil fuels and reduce greenhouse gas emissions. Even though LPG is more efficient, biogas has significant potential to be developed as a more environmentally friendly alternative energy source because LPG relies on non-renewable fossil fuels and has a negative impact on the environment in the long term.

Electrical energy is a vital need to support daily life in various sectors such as industry, housing and government. In Indonesia, the majority of electrical energy is still produced from fossil fuel plants, which have significant environmental impacts and limited resources. Therefore, the development of renewable energy is crucial to reduce dependence on fossil fuels. One promising alternative is the Micro Hydro Power Plant (PLTMH), which uses flowing water to produce electrical energy. This research focuses on the implementation of MHP in Babakan Banten Village, Bogor Regency, an area with the potential for abundant water flow throughout the year. This project aims to provide a reliable electricity supply for communities, most of whom do not yet have access to electricity from the national grid. This study includes the process of planning, assembling and testing the MHP system using field data such as river water discharge, land elevation (head) and other technical specifications. The measurement results show that the PLTMH with a generator capacity of 2 kW is able to meet the electricity needs of 18 houses in Babakan Village, Banten. System testing shows good operational stability with optimal turbine rotation at full load and results in accordance with planning. It is hoped that the implementation of this PLTMH will not only increase accessibility to sustainable electrical energy, but will also have a positive impact on the welfare of local communities. Utilization of locally available natural resources not only reduces dependence on conventional energy, but also becomes a real example of the application of technology for sustainable development in remote areas of Indonesia.