The rapid growth of the population and socio-economic activities in society has led to anincreasing demand for and consumption of electrical energy every year. Customers in the social sector,specifically those under tariff categories S1, S2, and S3, such as office buildings, schools, universities,hospitals, and other buildings, are believed to be the largest consumers of electrical energy, given the highlevel of activity in this sector. This has prompted efforts to conserve energy, in line with GovernmentRegulation No. 70/2009 on Energy Conservation. To achieve this, the initial step involves conducting anenergy audit, a method used to calculate the energy consumption rate of a building. The purpose of thisstudy is to analyze energy consumption and energy conservation programs for social sector customers inManokwari Regency. The analysis results show that the Energy Consumption Intensity (IKE) for electricityuse among social sector customers in Manokwari is 64,5 kWh/m²/month, with an average IKE of 10,67kWh/m²/month, which is considered efficient for air-conditioned rooms according to the Ministry of Energyand Mineral Resources Regulation No. 13 of 2012. and then the recommended energy savings opportunityis 44,3%, equivalent to 12.279,18 kWh/month.

Explores the application of the PDCA (Plan-Do-Check-Act) method in the development of an Arduino-based control system for a 3-crank hospital bed to enhance patient comfort and safety. In the planning phase, requirements were identified, and a detailed design was formulated. The do phase involved the implementation of the control system using an Arduino Uno, relay modules, and linear actuators, alongside a keypad for user input. The check phase comprised performance evaluations, revealing that the actuator motor takes 15.53 seconds to lower, 17.56 seconds to raise, and the safety lock activates within 5.74 seconds. Finally, in the act phase, improvements were identified, including the integration of advanced sensors and wireless control for enhanced functionality. This study demonstrates that the PDCA method provides a structured and effective approach for developing and optimizing a hospital bed control system, ensuring continuous improvement and alignment with user needs.

The management of water resources in dams relies heavily on reliable control and monitoring systems to prevent disasters such as floods and droughts. This research aims to design and build an automatic control system for dam sluice gates and real-time water level monitoring based on the Internet of Things (IoT). This system uses ultrasonic sensors to measure water levels, microcontrollers as control centers, and servo motors to automatically adjust the sluice gate opening and closing based on a predetermined height threshold. Water level data is sent and displayed in real-time through an IoT platform so that it can be accessed by users via smartphones or computers\cite{alfariski2022automatic}. The test results show that the system is able to monitor the water level with good accuracy and control the floodgates responsively according to actual conditions in the field. Thus, this system is expected to improve the efficiency of dam management and provide early information for disaster mitigation

This study presents a simulation-based model of micro-scale energy harvesting using Droplet-based Electricity Generator (DEG) technology, which aims to address the energy challenges faced by remote communities. Utilizing five-year (2019-2023) rainfall data from the Ciaul weather station in Sukabumi, Indonesia, we estimated the energy yield of the DEG system based on the known electrostatic output per water droplet (3.2 μJ per 100 μL). The model evaluates the monthly and annual energy availability per square meter and compares the results with the energy requirements of basic electrical loads such as LED lights. The results show that even a small DEG array (1-10 m²) has the potential to support intermittent micro-loads in areas with high rainfall. This simulation framework supports future prototyping and hybrid integration of DEG systems in rural renewable energy planning.

Innovative technology solutions are developed to help patients manage their medication more effectively. Diabetes is a chronic disease that requires regular monitoring of blood sugar levels and proper regulation of medication consumption. This system is designed to assist diabetics in remembering when to take their medication and to ensure the correct dosage in accordance with the doctor’s recommendations. It utilizes an IoT device connected to a mobile application or web-based platform, allowing users to receive notifications at predetermined times. Additionally, the system includes patient condition monitoring features, such as blood sugar level tracking synchronized with measurement devices. The collected data is transmitted in real-time to the application, enabling both patients and medical personnel to monitor treatment progress and make necessary adjustments. Through the integration of IoT, this system not only enhances patient adherence to medication schedules but also provides better analysis of medication effectiveness and potential risks, thereby minimizing negligence in medication consumption. The implementation of this technology has the potential to significantly improve the quality of life for individuals with diabetes.

This study investigates the application of a Fuzzy Logic Controller (FLC) for optimizing the performance of Direct Current (DC) motors. DC motors offer advantages such as high starting torque and ease of maintenance, making them suitable for replacing petroleum-fueled engines that contribute to pollution and global warming. The transition to electric vehicles is supported by advancements in battery technology, which provides reliable DC electricity. A crucial aspect of using DC motors in vehicles is speed control, which is essential for performance optimization. Traditional control methods like PID controllers face challenges with complex and nonlinear systems. FLC provides an alternative by employing fuzzy rules for decision-making, improving stability, accuracy, and dynamic response under varying conditions. This research aims to determine the optimal control parameters for DC motors using FLC. Simulations conducted in Simulink Matlab demonstrate that the FLC enables the system to reach the desired set point with minimal overshoot and a rapid settling time. The results shows that rise time is around 1.05 sekon and settling time approximately 1.1 sekon.

Distribution network systems typically begin at the GI (Main Substation) and proceed to the 20 kV feeder before being divided and sent to the ULP (Customer Service Unit). Electricity is dispersed over a considerable distance via the network, which lowers voltage and current (Voltage Drop). The length of a conductor on a medium voltage distribution channel causes this disruption, which can hurt customers by damaging electrical items. A voltage drop analysis must be performed to ascertain the amount of voltage drop along the distribution channel from the base to the end of the network in compliance with the SPLN (State Electricity Company Standard), as this disruption has a detrimental effect on customer service surpass 510% (SPLN 72: 1987). We will compare the voltage loss on the 20 kV distribution network in the Ulee Kareng feeder using simulations using etap 12.6.0 software and hand calculations utilizing formulae in this final project. Data will be collected and verified at PT. PLN (Persero) UP3 Banda Aceh prior to analysis. Current is 61.8 A and reactance is 0.164 at ULK 008-00 with a voltage of 20,000. This results in a value of 0.2317 kV and a percentage of 0.0115844%, whereas the percentage determined using etap software simulation yields a value of 0.2318 kV and a value of 1.19%. By altering the cross-sectional area, the voltage loss may be addressed because A power transformer added to a distribution with an excessive load might alter the number of turns, which will result in the channel impedance.

This report aims to see the value of insulation resistance on the power breaker that will be tested. The test method uses Megger MIT1025 test equipment where the test performed is Insulation Resistance Testing. The tests carried out can determine the value of insulation resistance on the equipment to be tested is still classified as in good condition or not. The average test result value is in the amount of Giga so that it can be declared in good condition. The value still meets the allowable standards according to SK-DIR 0520 , so that the incoming cubicle power breaker 20 kV GI Gunung Megang is still suitable for use.

The problem that is often faced in the crossing area is the lack of safety for pedestrians due to the absence of automatic vehicle protective equipment. Without a system that can automatically hold or slow down the vehicle, drivers are less likely to reduce their speed when approaching the crosswalk, increasing the risk of accidents and making it difficult for pedestrians to cross safely. In this study, the variables used are dependent variables or bound variables. Explain the effectiveness of vehicle restraint, pedestrian safety level, driver reaction time and system success percentage. The method in this study is experimental, namely by manipulating pedestrians with tools. At the same time regarding the overview of the principles or process of the tool. The design of this system is expected to be an innovative solution to make it easier for pedestrians, reduce the risk of accidents in crossing areas and make a positive contribution to improving road safety.