This research aims to elucidate the design of metaverse learning media with the goal of improving the quality of education. Metaverse is a virtual environment that enables interaction among users through 3D avatar representations. In the context of education, the use of metaverse offers a different learning experience, optimizing the current technology and educational media, and supporting the development of soft skills and building confidence through the simulations offered. This research also discusses the potential and limitations of metaverse educational applications, as well as the challenges and opportunities for their use in the education world. The research findings indicate that the use of metaverse in education can overcome existing limitations, such as classroom capacity, distance, and time constraints. However, the use of metaverse also poses some challenges, such as user security and privacy. Therefore, the design of metaverse learning media needs to consider these aspects to enhance the quality of education.

A reliable, efficient and high quality electrical energy supply is certainly very necessary. Frequent damage to electronic equipment and practical equipment in Building A, Faculty of Science and Technology (FST), Jambi University, prompted the author to conduct research on analyzing the quality of electrical power in this building. The research aims to analyze the quality of electrical power in building A FST. The research method used is the observation method which cannot influence the variables studied but can only record and observe the data that has been measured. The power quality quantities measured are voltage, current, active power, reactive power, power factor, voltage harmonics and current harmonics in each main panel. Based on the research results, the problem that occurs in the main panel of transformer A is load imbalance, namely at a percentage of 5.56% to 6%, the standard set by the IEC is only 5%. and the occurrence of current harmonic distortion (THDi) at a percentage of between 24%, the standard set by IEEE is 12%. The problem that occurs in the main panel of transformer B is that it has a low power factor value in the R and T phases, namely below 0.85. The occurrence of load imbalance is at a percentage of 10.9% to 12%, the standard set by the IEC is only 5%. The occurrence of voltage fluctuations is +7.4%, the standard according to PUIL 2011 is +5% with a value of 231 Volts and -10% with a value of 198 Volts and the occurrence of current harmonic distortion (THDi) is very high at a percentage of 29.83% to 58.419%, the value permitted by the IEEE standard is 15%.

The background of this study is based on the challenges currently being faced by the Indonesian financial sector in terms of transparency and trust. Various cases that often occur such as data manipulation, fraud, and lack of accountability in the financial transaction process have drastically reduced public trust in financial institutions. Blockchain technology here is present as one of the potential solutions to overcome this problem, by offering a decentralized, transparent, and immutable financial recording system. This study aims to analyze the implementation of blockchain technology in increasing transparency and trust in the Indonesian financial sector. The research method used is qualitative with the Systematic Literature Review (SLR) approach. This research was conducted by collecting and analyzing relevant literature related to the implementation of blockchain in the financial sector, especially in Indonesia. The analysis process was carried out using the content analysis method in order to identify the benefits, challenges, and impacts of blockchain implementation on transparency and public trust. The results of the study show that blockchain has great potential in increasing transparency in the financial sector, by reducing the risk of data manipulation and increasing operational efficiency. However, several challenges are still faced, such as inadequate regulations, uneven technological infrastructure, and low digital literacy in the community. This study emphasizes the need for collaboration between the government, financial institutions, and the community to create an ecosystem that supports the widespread adoption of blockchain technology. With a collaborative approach, blockchain is expected to contribute significantly to strengthening a more transparent, accountable, and highly competitive financial ecosystem in the future. In addition, this study provides an understanding of the readiness of the Indonesian financial sector in facing technological changes and innovation opportunities in the future.

This study aims to investigate the influence of macro fundamental variables (such as inflation, interest rates, and exchange rates), micro fundamental variables (such as DER, DPR, DR), as well as capital structure variables, financial performance, and ownership structure as intervening variables on firm value in the mining sector on the Indonesia Stock Exchange. This study uses a quantitative approach with secondary data from the financial statements of mining companies listed on the Indonesia Stock Exchange for the period 2010 to 2019. Data collection is done by random sampling of these companies, and data analysis uses the SmartPls 4 application to test the relationship between the variables studied. The results of this study are expected to provide a deeper understanding of how macroeconomic and microeconomic fundamental factors, as well as capital structure, financial performance, and ownership structure, contribute to firm value in the context of the mining sector in Indonesia. The practical implications of this study are expected to provide guidance to stakeholders, including company management, investors, regulators, and academics, in optimizing investment strategies and decision-making in this highly potential sector. This research can also make a theoretical contribution in expanding the understanding of the factors that influence firm value in the mining sector

Companies in making a decision require good consideration, therefore we need a system that helps provide information from good data processing so that it becomes the basis for decision making. This analysis aims to create a decision support system that can help the company to provide an overview of the decision to procure a new fleet that the company wants to buy.This decision support information system is implemented using the Hypertext Preprocessor (PHP) programming language and MySsql as the database application so that the desired features are created and neatly stored in operating the information system.This decision support information system also uses the Weighted Product method which is used to assist in decision making in determining the procurement of new fleets.The end result of this decision support information system is to combine a programming language with the Weighted Product method which can be used for decision making in determining which new fleet to buy, where the calculations are based on several predetermined criteria so that their use is on target.

OpenCV is a widely used library in the field of image processing and computer vision. Combined with Python's flexibility, OpenCV provides an extensive range of functions for efficient image processing, modification, analysis, and visualization. This paper aims to introduce the fundamental concepts of image processing using Python and OpenCV, including image reading, color conversion, edge detection, and image manipulation such as resizing and cropping. Furthermore, this study discusses basic analysis techniques like color distribution histograms and feature detection. By presenting these concepts, the paper aspires to help readers understand the foundations of digital image processing and explore the potential applications of OpenCV in practical fields such as pattern recognition, object detection, and image segmentation.

There are jobs in the warehouse that are still not optimal, one of which is managing administration and other activities related to warehouse mechanics and inventory. In the warehouse management section, employees record incoming goods, outgoing goods, and stock of goods by recording them in the inventory book, resulting in a buildup of inventory which often causes discrepancies between the release of goods and transaction funds. The research method used to solve problems is by using interviews and observation methods and for system development using the object oriented method. The results of this research produce a warehouse inventory information system that is capable of carrying out web-based warehouse recording transactions, so it is hoped that it can help with problems in PT Laz Coal's warehouse inventory.

The analysis of Traveloka.com's services in the tourism industry encompasses various aspects, including usability, service quality, customer loyalty, and the influence of service quality on customer loyalty. The usability analysis of Traveloka.com's website revealed a high level of usability, as evidenced by efficiency, memorability, error rate, and user satisfaction. However, the study also identified areas for improvement, particularly in terms of system accessibility, privacy, and efficiency, which significantly impact customer satisfaction. Furthermore, the influence of service quality on customer loyalty was found to be significant, indicating the importance of continuous improvement in service quality to maintain and enhance customer loyalty. This research aims to provide a comprehensive understanding of Traveloka.com's services and their impact on the tourism industry, offering insights for the company's development and the advancement of the overall tourism sector.

This research aims to demonstrate the influence of the effectiveness of image preprocessing-based artificial intelligence technology in detecting the ripeness level of tomatoes on user satisfaction and to discover correlations between them. The applied research method is quantitative, with data collected through the distribution of questionnaires to attendees of the IT Festival 2023 Expo held on Sunday, August 27, 2023, at the Baranangsiang Campus, IPB. The data analysis methods used include Pearson correlation test, simple linear regression, coefficient of determination test, and T-test using SPSS 25.0 software. The test results indicate that the effectiveness of image preprocessing-based artificial intelligence technology has a positive and significant impact on detecting the ripeness level of tomatoes

Data mining is a technique to extract new information from the data warehouse, information is considered very important and valuable because by mastering the information so easily to achieve a goal, this makes everyone competing to obtain information, as well as on trading businesses such as bag store BRANDED. store is located close to the home of the population, this certainly affects the level of sales, with the daily sales activities, sales transaction data will continue to grow, causing data storage is greater. Sales transaction data is only used as an archive without being put to good use. Basically the data set has very useful information. The analysis of market basket with Apriori Algorithm is one method of data mining which aims to find the pattern of association based on consumer spending pattern, so that it can be known what items are purchased simultaneously. The result of this research found that the highest support and confidence value is Ysl and Chanel with a support value of 50% and confidence of 75%.