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This study focuses on analyzing the application of cloud computing as a supporting infrastructure for digital transformation in the implementation of Smart City at the Communication and Information Agency (Diskominfo) of Muara Enim Regency. In the era of digital transformation and accelerated urbanization, the need for smart city management based on information technology has become increasingly urgent. Cloud computing plays a strategic role in providing integrated, scalable, and efficient data services to support the effectiveness of public services and data-driven decision-making. This study aims to analyze the extent to which cloud computing has been implemented in the Muara Enim Diskominfo environment, identify the supporting and inhibiting factors of its implementation, and evaluate its contribution to the achievement of Smart City objectives. This study uses a comparative approach with data collection techniques through interviews, observation, and documentation studies. The results of the study show that the implementation of cloud computing at the Muara Enim Communication and Information Agency is still in the development stage, with positive achievements in data management efficiency and inter-unit collaboration, but facing obstacles in terms of system integration and human resources. This research contributes to strengthening academic understanding of cloud computing implementation strategies in the context of local government, as well as providing practical recommendations for policy makers to improve digital infrastructure readiness towards a sustainable Smart City.

This study presents the integration of a Large Language Model (LLM) Ollama with the OpenStreetMap (OSM) API within a Business Intelligence (BI) framework to develop an intelligent, location-based recommendation system. The system is designed to assist users in finding dining, leisure, and resting places through natural language interaction and contextual understanding. The LLM interprets user input semantically, transforms it into structured spatial queries, and retrieves relevant geospatial data from OSM. The data are then analyzed, categorized, and visualized using BI methods to enhance interpretability and decision-making. The system was implemented using Next.js, Leaflet.js, ensuring interactivity and scalability for web-based deployment. Technical evaluation focused on system accuracy, response time, and output consistency. Results demonstrate an average response time of 1.74 seconds, 80% accuracy, and 80% consistency, proving the model’s efficiency in producing relevant, context-aware recommendations. This integration highlights the potential of combining open geospatial data, local LLMs, and BI analytics to create intelligent, data-driven decision support systems applicable to tourism, urban planning, and spatial information management.

Education is used as a means of improving human resources. In increasing educational progress, a data management system is needed such as student, class, educator and education data, as well as recapitulation of school data reports for early childhood education levels. This Early Childhood Monitoring Information System was built for the process of monitoring Early Kindergarten (TK) reports to control student activities at school and make it easier to provide information on the development of children's activities that are reported in student activities, without having to use the old system by recording all student progress. manually because it is less efficient in its use and makes it easier for teachers to monitor students. The method used in system development is prototyping. The use of information systems makes it easier for teachers to input monitoring data and results of grades so that teacher users can easily monitor the progress of their students.  

This study aims to analyze the implementation of Metaverse technology as a medium for socializing religious moderation at the Palembang Religious Education and Training Center. Using a qualitative approach, this research explores how Metaverse can facilitate the dissemination of religious moderation values and its potential in improving the understanding of balanced, tolerant, and inclusive religious practices among participants. Data was collected through interviews, observations, and document analysis. The research findings show that Metaverse offers a dynamic and immersive platform to deliver training and discussions on religious moderation, allowing participants to interact more deeply with the material presented. However, challenges such as limited access to technology and understanding of the virtual environment were also found. This research highlights the need for further adaptation and support to maximize the effectiveness of this technology in building religious moderation.

The purpose of setting up SIMRS is to improve efficiency, effectiveness, professionalism, performance, and access and services in hospitals. In the preparation of this paper, data was collected through observation methods, interviews, literature studies, and the application of software development models using the waterfall method. The result is the design of a web-based patient registration information system using Laravel and MySQL as a database. Hospitals face several problems, including data redundancy in the input process and less than optimal data presentation, making it difficult to manipulate, change, and delete data. The author hopes that the development of a new information system can simplify and speed up the data input process. The information system designed is expected to make it easier for patients to register online as well as assist admins in the patient registration process, making it easier to make registration reports.    

This research employs the Six Sigma method using the DMAIC cycle (Define, Measure, Analyze, Improve, Control) to enhance the quality of Shopee’s services. Among the variables examined, significant results were found in the areas of delivery accuracy and application reliability. Based on the survey conducted, customer dissatisfaction reached 20% in delivery and 25% in application reliability. Through analysis, the root causes were identified and addressed by optimizing logistics and application stability. This research demonstrates that Six Sigma is effective in improving customer satisfaction and the quality of Shopee’s services.  

User satisfaction in information systems is a term used to describe how satisfied or dissatisfied users are when using a particular information system. User satisfaction includes how the information system meets the needs, expectations, and preferences of users in carrying out activities or achieving desired goals. User satisfaction is very important because it has a direct impact on the performance and success of information systems in organizations. The results of this study when viewed from Acceptability, Grade Scale and Adjective Rating are matched with the calculation of 50.5, namely the level of user acceptance is included in the marginal low category, the level of grade scale is included in the F category and the adjective rating is included in the ok-good category. According to the provisions of the conclusions that have been obtained, it can be concluded that users still experience difficulties when using SLiMS.

The application of Internet of Things (IoT) technology in campus facility management can enhance operational efficiency and effectiveness by monitoring the availability of rooms and equipment in real-time. This study aims to explore the basic concepts and implementation of IoT in managing campus facilities through document analysis. The results show that IoT can assist in managing classrooms and equipment, allowing campus managers to optimize facility usage, reduce wastage, and improve service quality. IoT implementation also facilitates the maintenance and replacement of faulty equipment by utilizing data generated from sensors. However, the main challenges in IoT implementation are related to technological infrastructure and data security, which require special attention to ensure the system operates effectively and securely. Overall, this study concludes that IoT technology provides a solution to improve campus facility management efficiency and supports the creation of a more modern and responsive educational environment.

This research aims to analyze the best-selling products at Toko Hartati using the K-Means Clustering method. K-Means Clustering is an unsupervised learning algorithm that is effective in grouping data based on certain similar characteristics. In this context, the data used includes the number of sales, product prices, and product categories. Through this analysis, it is hoped that insight can be gained regarding products that have the best sales performance, as well as sales patterns that can be used as a reference in stock management and marketing strategies. The data used in this research includes sales transactions during a certain period, with the aim of identifying product clusters based on sales patterns. The analysis results show the existence of two main product groups, where the first cluster contains products with high sales numbers, which can be classified as best-selling products, while the second cluster includes products with lower sales. These findings provide valuable information for the management of Toko Hartati in determining more targeted marketing strategies and more efficient stock management. This research suggests using the K-Means Clustering method in data-based decision making to improve sales performance in retail stores.

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.

This Electronic Medical Record is a digital version of a medical record, the same as a paper-based manual medical record, this electronic medical record also contains information regarding health history, diagnoses, laboratory results, examination notes, medications given, medical procedures, and other data. relevant to the patient's health condition. It is hoped that the implementation of Electronic Medical Records can increase the efficiency of BPJS claims and improve the quality of service. Therefore, this study aims to analyze the use of RME using the Delone and Mclean method. The Delone and Mclean method is an information system quality evaluation framework that includes six dimensions, namely information system quality, information quality, service quality, use quality, user satisfaction, and user impact. In this study, we apply this method to analyze the quality of RME management. This research uses a quantitative approach by collecting data through questionnaires distributed to RME users in hospitals. The questionnaire measures user perceptions of information system quality, information quality, service quality, use quality, user satisfaction, and impact of using RME. The results of this research are expected to provide better insight into the use of RME in the context of work efficiency. The findings of this research will provide input for RME developers to improve the quality of information systems, the quality of information, and the quality of services provided to users. Apart from that, this research also contributes to theory and research in the field of information systems by applying the Delone and Mclean method in the context of RME management.

Online learning has become an essential component of modern education; however, conventional online learning platforms often rely on two-dimensional interfaces that limit user engagement, interaction, and immersion. These limitations reduce learning motivation and hinder the creation of an effective learning experience, particularly for activities that require active participation. To address these challenges, this research focuses on the design of User Interface (UI) and User Experience (UX) for online learning implemented in a Virtual Reality (VR) environment. The objective of this study is to develop a user-centered VR-based online learning interface that enhances interaction, usability, and learning comfort. This research applies the Design Thinking methodology, which consists of five stages: empathize, define, ideate, prototype, and test. User needs and usability issues were identified through observations and interviews, followed by interface design and prototype development of a VR learning environment featuring chat rooms, whiteboards, slide presentations, and virtual representations of teachers and students. Usability evaluation was conducted using the Maze platform to measure user success rates in completing predefined tasks. The results show that 80% of users completed tasks through the expected interaction paths, exceeding the minimum usability threshold of 70%, while 20% of users failed to complete the tasks, indicating areas for improvement. These findings demonstrate that the proposed UI/UX design effectively supports user interaction and usability in a VR-based learning environment. In conclusion, this study confirms that integrating Design Thinking into the UI/UX design process contributes to the development of effective and user-centered VR-based online learning systems, while also highlighting the importance of usability evaluation for refining immersive educational interfaces.

This study aims to evaluate customer satisfaction with the menu offerings at "Rajanya Seafood" using the Lean Startup approach. This method was chosen because it enables businesses to develop products that better meet customer needs and preferences through rapid experimentation cycles, continuous feedback, and regular updates. Research data was collected through direct surveys of "Rajanya Seafood" customers, focusing on aspects such as taste quality, menu variety, pricing, and service. The collected data was analyzed to identify areas needing improvement as well as potential innovations to enhance customer satisfaction. The study results indicate that the Lean Startup approach is effective in quickly understanding and responding to customer needs, thus contributing to increased customer loyalty and satisfaction. These findings are expected to serve as a reference for "Rajanya Seafood" and other culinary businesses in applying the Lean Startup strategy to achieve optimal customer satisfaction levels.      

The Utilization of GPS and GSM technology in operational vehicle monitoring offers convenience and efficiency in management. This research designs a GPS-based vehicle monitoring system that is integrated with vehicle maintenance management to assist companies in making decisions related to fuel efficiency, predictive maintenance scheduling, and safety aspects. By monitoring vehicle position and condition in real-time, companies can optimize travel routes, reduce travel time and reduce operational costs. The system also includes tire pressure and fuel percentage monitoring, which serve as important indicators in an accurate and sustainable vehicle maintenance strategy. This research uses quantitative methods to analyze various aspects in designing a GPS-based monitoring system that is integrated with operational vehicle maintenance management. With the resulting data, managers are able to identify trends that support predictive maintenance as well as preventive steps to reduce the risk of sudden damage. The research results show that the integration of GPS and GSM provides significant benefits in improving performance and reliability for vehicles, especially in the distribution and logistics sectors. The implementation of this system is expected to support the company in maintaining optimal vehicle performance and contribute to operational sustainability.

The system for receiving police reports at the Semendawai Tribe III Police is currently still done manually by typing them in Microsoft Word which are then printed and stored in hard copy in the criminal investigation room. Storing files in hard copy form results in files piling up, being scattered, being tucked away, as well as the potential for losing files or having difficulty finding files when they are needed again. Apart from that, police report files in softcopy form are sometimes accidentally deleted, not copied, and immediately overwritten with a new police report, resulting in data loss that cannot be recovered. Therefore, this research aims to design electronic monitoring of police reports using a prototype method that allows gradual development of the system based on input from users. The electronic monitoring design was carried out in several stages, starting with the creation of a report recording module, followed by a combination of report status monitoring features, and ending with the implementation of automatic backup. Each stage is tested and evaluated separately to ensure optimal quality and usability. The research results show that this system is able to increase the efficiency of report management, can minimize the risk of data loss, and makes it easier for Sector Police personnel to monitor the progress of reports. With automatic backup, report data is stored safely and can be accessed at any time. It is hoped that this research can be an innovative solution for Sector Police in digitalizing administrative processes, as well as providing a basis for further development in the future.

In the digital age, e-commerce startups are racing to achieve success. However, behind sophisticated technology, the key to success lies in understanding and meeting customer needs. Value Proposition Design (VPD) emerges as an effective strategy for designing customer-centric business models. This study aims to examine the role of VPD in building successful e-commerce startup business models in the digital era. Using a qualitative approach and case studies, this research analyzes the experiences and strategies of several successful e-commerce startups in Indonesia that have implemented VPD. The findings indicate that VPD helps startups identify customer needs, design relevant value propositions, and build sustainable competitive advantages. Moreover, the study reveals the challenges and opportunities faced in implementing VPD in a constantly evolving environment. In conclusion, VPD is a crucial strategy that can enhance the competitiveness of e-commerce startups in the digital age. This research provides recommendations for entrepreneurs to understand and consistently implement VPD.