PLN as an electricity provider that serves all regions in Indonesia certainly always wants to provide the best service to its consumers, including PT. PLN Persero UP3 Gresik. Along with the increase in consumers, the company continues to develop distribution lines, however, because the addition of more and more lines makes the distribution cables longer and the load becomes greater, resulting in voltage drops and power factors decreasing in several feeders, including in the feeder network. LOWAYU, causing poor power quality.This research aims to find and obtain the magnitude of the power flow which includes active power, reactive power, apparent power and the magnitude of the power losses (losses) contained in the LOWAYU feeder network, the magnitude of the voltage and voltage drop on each bus on the network. LOWAYU feeder using the backward-forward method. And determine the value of reactive power required for the capacitor on each bus that experiences a voltage drop. Then a comparison will be made between the results of manual calculations using the backward-forward method and the results of simulation data using ETAP Power Station 19.0.1 software.From this research, it can be seen that the safe limit for the voltage drop value is still below 5% or above 5%, so it is necessary to add capacitor banks to improve the power factor and reduce the voltage drop value on distribution network buses that experience voltage drops.

Energy audit is a technique used to obtain the efficiency of a building with a certain method. Continuous research implementation is expected to be able to identify electrical efficiency and the purpose of data analysis is to obtain electrical energy efficiency to calculate the Energy Consumption Intensity (IKE) value in the building. Energy audits can also be carried out at any time or according to a predetermined schedule. Regular monitoring of energy usage is a must to find out the amount of energy used in each part of the operation during a certain period of time. Thus, savings efforts can be made.

In the curcumin compound there are aromatic compounds that have electronic spins on each side of the benzene. In previous research, the concentration of curcumin and H2O as coatings on copper coils could provide physical changes to the characteristics of copper coils, namely increasing the strength of the magnetic field and increasing the electric current in the coil. The fuzzification process can be described using membership variables with concentrations of curcumin and H2O as input, magnetic field strength and current as output. It is known that the greatest concentration of curcumin indicates increased magnetic field strength and electric current. Simulation of the aromatic spin on the curcumin compound as an Op Amp shows that the highest curcumin concentration value results in an increase in the output voltage (Vout).                                                                                                

Digital innovation in the agricultural sector is increasingly becoming an important concern as a solution to increase agricultural efficiency and productivity. This research discusses the comparison between open source technology and commercial technology in the agricultural sector, with the aim of understanding the advantages and challenges of each in the agricultural context in Indonesia. Using a comparative descriptive approach, this research involved 30 farmers who were divided into two groups, namely farmers using open source technology and farmers using commercial technology. Data was collected through interviews, questionnaires and field observations, then analyzed descriptively to describe the use of both types of technology.The research results show that open source technology is more affordable and flexible, but is limited by a lack of technical support and integration with existing agricultural systems. Meanwhile, commercial technology offers more complete technical support and more integrated systems, but high costs are a major obstacle for small farmers. In conclusion, choosing the right technology must take into account local conditions, economic capabilities and existing technical support. This research suggests the importance of policies that support the provision of affordable technology and training accessibility for farmers to maximize the potential of digital transformation in the agricultural sector.

There are various types of cybersecurity threat in the globe, one of which is an insider threat. Because the current vulnerability generates an insider threat, SMEs suffer. In this situation, the company suffers a loss of profit and trust. Because of the speed and intensity of cybersecurity, particularly internal threats, SMEs must conduct regular vulnerability assessments. Insider threats to cyber security are a major issue in today's environment. Insider threats come in a variety of flavours, one of which is the unintended insider threat, or UIsT. This type of threat is a real one, and it is important to understand who and how they can become an insider threat.

The Information System for Participant Data Management in Vocational Training Institutions (LPK) is designed to enhance the efficiency and effectiveness of participant data management at the Department of Manpower in Asahan Regency. This system focuses on managing training participant data, encompassing registration, grouping, and reporting processes. The data management process includes recording participant identities, the type of training attended, training schedules, and evaluation results. The system is designed to streamline administrative workflows, minimize manual errors, and accelerate access to information. Participant data is recorded and stored automatically using a structured format, including details such as participant names, addresses, identification numbers, and training programs attended. This system is developed using web-based technologies, such as HTML and other supporting technologies, to ensure flexibility and ease of access for users. By implementing this system, it is expected that the data management of vocational training participants in LPKs can be conducted more efficiently, accurately, and integratively, thereby supporting the improvement of administrative service quality at the Department of Manpower in Asahan Regency.
Keyword :Information System, Participant Data, Vocational Training Institution, Department of Manpower, Data Management.

Meter management and maintenance play a critical role in ensuring billing accuracy and operational efficiency at PLN, particularly in the Kisaran Branch Office. The manual system currently employed often encounters challenges such as inconsistent data recording, delays in maintenance, and a lack of information transparency. To address these issues, a Meter Maintenance Information System has been designed as an efficient solution for managing measuring instruments.This system is designed to support meter data recording, maintenance schedule monitoring, maintenance history logging, and real- time reporting of meter conditions. Utilizing web-based technology and a centralized database, the system integrates meter data from various locations, facilitating decision- making for technical staff. Implementation results indicate that the Meter Maintenance Information System can improve management efficiency by up to 40%, reduce recording errors, and accelerate the identification process of meter damage. Furthermore, the system supports operational cost efficiency by optimizing maintenance schedules. Thus, this system is expected to serve as a strategic step for PLN to enhance service quality for its customers.
 

Vannamei shrimp (Litopenaeus vannamei) is a high-value export commodity with strong demand in local and international markets. This shrimp species excels due to its adaptability, disease resistance, and delicious taste. However, white feces disease poses a serious threat, affecting the shrimp's digestive system, appetite, and growth. To prevent this, the recirculating aquaculture system (RAS) technology is a crucial innovation. This system maintains water quality and oxygen levels through continuous water and oxygen circulation, ensuring the health and productivity of vannamei shrimp.

Mobility is one of the major challenges for visually impaired individuals in their daily activities. Visual impairments make it difficult for them to detect obstacles around them, increasing the risk of injury. This study aims to design and develop a smart stick based on ESP32, equipped with an ultrasonic sensor, to assist the mobility of visually impaired people. The system uses ultrasonic sensors to detect the distance of objects and provides early warnings to users through a buzzer, with varying rhythms depending on the proximity of objects. The research methodology includes system design and development of hardware and software, as well as direct testing on visually impaired users. The test results show that the system can detect obstacles with 95% accuracy at distances up to 200 cm, and provide appropriate responses based on the distance of detected objects. In addition, this prototype is energy-efficient, allowing for prolonged use without frequent recharging. This study provides a practical solution to enhance the independence and safety of visually impaired individuals in daily activities, with the potential for further development to improve detection accuracy and user comfort.

Rice pest control is one of the main challenges in the agricultural sector in Indonesia. Pests such as planthoppers, stem borers, and rats can cause significant losses to crop yields. Currently, many farmers have difficulty identifying pest types and how to control them quickly and effectively. Therefore, a technological solution is needed that can detect pests directly and provide recommendations for action. This study aims to design an Android-based application that is able to detect types of rice plant pests using visual images and provide recommendations for handling. This application is designed using digital image processing methods and is supported by a large pest database. This technology is expected to be an efficient and practical solution for farmers. The research method used in developing this application is a qualitative method, involving interviews with farmers, agronomists, and data collection related to pests and their damage patterns. This application utilizes AI-based pattern recognition technology to detect pests through photos taken directly by farmers. The results of the study showed that this application was able to detect several types of major pests with an accuracy of up to 85%. In addition, this application provides recommendations for handling steps based on guidelines from the Ministry of Agriculture. The trial showed that this application can help farmers identify pests faster than manual methods. The main contribution of this research is to create a technology-based solution to agricultural problems in Indonesia, especially in the rice sector. With this application, farmers can increase their yields through early identification and proper pest management. In future implementations, this application will continue to be developed to detect additional pests and expand its database. It is hoped that this application can be an important tool in supporting smart farming in Indonesia.