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Analysis Of Power Requirements and Solar Power Plant (PV System) Components For an Electric Vehicle Charging Station at Universitas Pembangunan Panca Budi Medan
Full text linkThis study focuses on determining the capacity of the solar power plant (PLTS) components used as an energy source at a public electric vehicle charging station (SPKLU) to charge the batteries of electric cars at Universitas Pembangunan Panca Budi Medan. Calculations are carried out to obtain the area of the solar module, the power required, the number of solar panels, the SCC capacity, the backup battery, and the charging time of the electric vehicle. The research method used is a research method with an approach calculation by comparing several similar references related to planning in building a PLTS. The battery data collection method is carried out by observation, literature study and collection of weather condition data through the BMKG of Medan City. The results of the study show that with a solar intensity of Gav 4.42 kWh/m2/day, a module array area of 42,071 m2 is required. With a sunlight intensity of 1000 W/m2, the power generated by the area is 6,731 Wp. By using a 120 WP solar module, the number of panels used is 60 units consisting of 15 strings of 4 units in each string. The system can produce 8,333 Wp, 71 V 103 A of power. The SCC produces 128.73 A. The charging time required is 8.63 hours or 8 hours 37 minutes
Effectiveness of Public Service Malls in Depok City, West Java Province
Full text linkThis study examines the effectiveness of the Public Service Mall (MPP) in Depok City, West Java Province, with a focus on its ability to provide efficient and easily accessible public services to the public. With the rapid development of digital technology, public expectations for more transparent, efficient, and user-friendly public services are increasing. MPP, as an integrated public service center, aims to meet this need by combining various government and private service providers in one place, thereby improving the quality of service. This study uses the theory of effectiveness developed by Steers (1985), focusing on three main dimensions: goal achievement, integration, and adaptation. This study uses a qualitative method with data collection techniques in the form of direct observation, interviews, and document analysis. The data analysis technique used is thematic analysis. This method is used to evaluate the extent to which MPP has succeeded in achieving its goals and identifying factors that hinder its effectiveness, and efforts to explore strategies to improve the efficiency of services provided at MPP Depok City. The results of the study indicate that although MPP is still ineffective in achieving its goals despite having made significant progress in streamlining public services. There are still challenges, especially in terms of organizational structure, coordination between agencies and digital literacy of the community. Recommendations are given to improve service integration, strengthen communication between agencies, and increase the use of digital tools to optimize services. These efforts are essential to ensure that MPP can meet the growing demands of the community and contribute to increasing the effectiveness of public services in Depok
MRI Image Classification Analysis of Brain Cancer Using ResNet18 and VGG16 Deep Learning Architectures
Full text linkDeep learning approaches, particularly Convolutional Neural Networks (CNNs), have proven effective in medical image processing. Two prominent CNN architectures are VGG16 and ResNet18. Previous research has shown that ResNet50 and VGG16 have been used in brain tumor classification with varying accuracy. This study aims to systematically compare the performance of ResNet18 and VGG16 in brain cancer MRI image classification, considering accuracy, computational efficiency, and model generalization capabilities. The results show that the ResNet18 model with pretrained weights achieved the highest accuracy of 97.43%, excelling in detecting all categories of brain tumors with minimal error. In contrast, the VGG16 model trained from scratch performed the lowest with an accuracy of only 63.09%, having significant difficulty distinguishing between classes
Implementation of Job Analysis Policy in Employee Placement at the Regional Secretariat of South Buton Regency
Full text linkThe purpose of this study is to describe the implementation of job analysis policy in employee placement at the Regional Secretariat of South Buton Regency using Charles O. Jones's policy implementation theory, which includes three main dimensions: organization, interpretation, and application. The research method used is a descriptive qualitative approach. Data were collected through observation, interviews, literature studies, and documentation. Data sources were obtained from informants through direct observation and interviews, and documents obtained in the form of regulations. Data processing was analyzed using the Miles and Huberman model, which includes data reduction, data presentation, and verification. The results show that in the organizational dimension, job analysis implementation is still carried out ad hoc without a permanent implementation team or standardized SOPs. Limited human resources, uneven technical training, and the use of manual methods without an integrated information system are the main obstacles. In the interpretation dimension, the policy has been described in normative documents such as Regent Regulations and job maps, but has not been equipped with detailed local technical SOPs. Directions and training for implementers have also not been carried out systematically, resulting in differences in understanding between work units. In the application dimension, job analysis results have not yet been fully utilized as a strategic basis for employee placement. Employee placement is based more on immediate needs and the considerations of immediate superiors, without a structured and ongoing job evaluation cycle
Maturity Analysis of Governance, Risk, and Compliance (GRC) Implementation at PT Kimia Farma Trading & Distribution
Full text linkIn an era of globalization and increasingly fierce competition, companies in Asia, including Indonesia, face increasingly complex challenges in maintaining and improving their position in the market. Competition with other Asian countries is one of the main factors that encourages companies to continue to adapt and improve their performance. In an effort to face this challenge, company management has developed from conventional concepts to focus on governance, risk, and compliance, known as GRC (Governance, Risk and Compliance). The aim of this research is to determine the maturity of the implementation of Governance, Risk and Compliance (GRC) at PT Kimia Farma Trading & Distribution (KFTD). This study utilized qualitative methods to understand and describe the situation that takes place in the research environment. The analysis began with the coding stage of the data derived from the results of the interviews which had been transcribed into text using a case study approach. The research concludes that the maturity level of Governance, Risk Management, and Compliance (GRC) implementation at KFTD is currently at an early stage, with the integration between governance, risk management, and compliance not yet fully achieved. Although the organizational structure and regulatory compliance provide support, GRC functions are still operating separately, and internal awareness and commitment need to be enhanced. A more mature GRC implementation is necessary to improve operational efficiency, decision-making, and ensure business sustainability. Recommendations for KFTD include strengthening GRC socialization programs, developing an integrated GRC system, increasing management support, conducting regular maturity assessments, and leveraging technology for monitoring and reporting
Analysis of Measurement Uncertainty in the Calibration of Digital Scales in the Downstream CPO (Crude Palm Oil) Production Unit
Full text linkCalibration of measuring instruments is an important aspect in ensuring the accu-racy and reliability of industrial production systems, including in the palm oil derivatives (CPO) processing sector. Digital scales play a crucial role in the weighing process of raw materials, semi-finished products, and final products. However, each calibration process is inseparable from measurement uncertainty that can affect the quality of production results. Where this study aims to analyze the level of measurement uncertainty in the calibration process of digital scales used in CPO derivative production units. The research method is carried out by collecting scale reading data with standard loading, calculating type A (statistical) and type B (non-statistical) uncertainties, as well as calculating com-bined uncertainty and expanded uncertainty in accordance with ISO GUM (Guide to the Expression of Uncertainty in Measurement). Thus, the results of the analysis show that the greatest uncertainty comes from the variation in readings (repeatability) and the tol-erance of the standard weights used. The combined uncertainty value obtained is within the range that meets the industrial calibration tolerance limit, but there are recommenda-tions for improving environmental control procedures during calibration to minimize fur-ther deviations
The Influence Of Profitability, Liquidity And Leverage On Company Value With Dividend Policy As A Moderating Variable In Raw Goods Sector Companies Listed On The Indonesian Stock Exchange In 2017–2021
Full text linkThis study aims to identify and analyze the effect of profitability, liquidity, and leverage on the value of raw material sector companies listed on the Indonesia Stock Exchange (IDX) in the 2017-2021 period. In addition, this study also aims to see whether dividend policy is able to moderate the relationship between these independent variables and firm value. This study provides an overview of how the financial condition of companies in the sector is related to the dividend policy taken, as well as how factors such as profitability, liquidity, and leverage affect firm value, both directly and in the context of interactions with dividend policy. The results of the study indicate that profitability and liquidity have a significant positive effect on firm value, while leverage does not have a significant effect and tends to be negative. Dividend policy acts as a moderator that strengthens the effect of profitability on firm value, but weakens the effect of liquidity and leverage. These findings demonstrate the importance of dividend policy in moderating the relationship between a company's financial condition and firm value, and highlight the need for management to consider the right dividend policy in an effort to increase firm value, especially in the raw material sector listed on the IDX
Correlation Between Self-Care And Quality Of Life In Pa-tients With Type 2 Diabetes Mellitus At Royal Prima Gen-eral Hospital, Medan
Full text linkSelf-care plays a crucial role in managing Type 2 Diabetes Mellitus (T2DM) and directly impacts patients' quality of life. This study aims to analyze the correlation between self-care and the quality of life of T2DM patients at Royal Prima General Hospital, Medan. This research employs a cross-sectional design with a sample size of 1.760 patients, selected through 200 Samples. Data were collected using standardized self-care and quality of life questionnaires. The results indicate a significant positive correlation between self-care and quality of life, with a p-value < 0.05. Patients who demonstrated better self-care practices reported higher quality of life scores. These findings suggest that enhancing self-care behaviors through education and support programs can improve the overall well-being of T2DM patients
An Analysis Of Working System Carcinogenic Substance Neutralization Tool (Smoke/Gas) In A Closed Space Using An Arduino Uno-Based MQ3 Sensor
Full text linkThis study aims to analysed the working system of a carcinogenic substance neutralization device for smoke or gas in enclosed spaces, using an MQ3 sensor based on Arduino Uno. Carcinogenic substances in the form of smoke or gas can pose significant health risks, especially in areas with limited air circulation. The device developed in this research utilizes the MQ3 sensor to detect harmful gases, which are then processed through Arduino Uno to automatically activate the neutralization system. The research method involves the design, assembly, and testing of the neutralization system. The MQ3 sensor functions as a detector for hazardous gases at specific concentration levels, sending data to the Arduino Uno, which triggers the activation of a fan and air filter as the neutralization system. Testing was conducted in an enclosed space to evaluate the effectiveness of the system in reducing harmful gas concentrations over a given period. The results indicate that this neutralization device effectively detects and significantly reduces harmful gas concentrations. The MQ3 sensor is highly responsive to changes in gas levels, and the Arduino Uno-based system allows for efficient automated control. With these results, the device is expected to serve as a solution for improving indoor air quality and protecting users from exposure to carcinogenic substances
Strategy for Reducing Doubtful Receivables on Cash Performance of PT PLN (Persero) ULP Denai
Full text linkDoubtful receivables are one of the main challenges in financial management, particularly for public service providers such as PT PLN (Persero). This study aims to analyze strategies that can be implemented to reduce doubtful receivables and their impact on the company's cash performance. The research employs a quantitative approach by analyzing financial data from PT PLN (Persero) ULP Denai over a specific period. The results indicate that implementing more effective collection strategies, a digital customer monitoring system, and discount and incentive policies for timely payments significantly contribute to reducing doubtful receivables. Additionally, optimizing the prepaid electricity system (token-based payment) has proven to mitigate the risk of uncollectible receivables. By applying the right strategies, PT PLN (Persero) ULP Denai can improve operational cash flow, reduce financial burdens caused by uncollected receivables, and enhance efficiency in revenue management