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The One Stop Service provided by the Indonesian Food and Drug Authority is designed to streamline the registration procedures for herbal medicines, cosmetics, and health supplements. This service is essential for improving efficiency, accessibility, and user satisfaction; however, empirical evaluations of user satisfaction remain limited. Previous studies highlight that service quality, communication, and responsiveness are key factors influencing satisfaction, but specific research on BPOM’s OSS is scarce. This study aims to evaluate user satisfaction levels, identify key determining factors, and provide recommendations for improving the service. A quantitative approach was employed, collecting data through questionnaires from participants who engaged in the service, both offline and online. The results indicate that most respondents were satisfied, particularly with processing time, ease of access, and staff responsiveness. However, areas requiring improvement include the development of digital features, more equitable service distribution, and enhanced transparency in communication. This study offers novelty by emphasizing the importance of a holistic approach that incorporates dimensions of communication, privacy, and inclusivity.

Efficient energy use in household appliances has become a primary concern as awareness of environmental sustainability grows. Smart electric stoves with automatic temperature control features offer an innovative solution to enhance energy efficiency while ensuring comfort and safety during use. This study aims to design and develop a smart electric stove system based on a microcontroller with automatic temperature control algorithms. The system employs temperature sensors to detect real-time temperature changes and a Proportional-Integral-Derivative (PID) algorithm to maintain stable temperatures as set by the user. A simple and intuitive user interface is designed to facilitate operation, while the automation feature allows the system to shut off the heating element independently when the temperature exceeds a safe threshold. Test results demonstrate that the designed system can reduce energy consumption by up to 25% compared to conventional electric stoves without automatic controls. Therefore, this research significantly contributes to the development of energy-efficient and safe smart kitchen appliances.

Structured and efficient inventory management is very important for cooperatives, which have special operational and logistical needs. This study aims to develop a web-based inventory system and also develop it into a mobile application that is able to support real-time stock and asset management, using Javascript, PHP, HTML, CSS, and implemented on the XAMPP platform with phpMyAdmin support. This system is designed to record and monitor goods accurately, optimize the flow of goods in and out, and provide automatic inventory reports. The waterfall approach is applied in the development of this system, starting from needs analysis, design, implementation, to testing. The results of the study show that this system has succeeded in increasing the accuracy of recording goods, accelerating the decision-making process through data-based reports, and reducing manual errors that often occur in inventory management. This system not only supports operational transparency, but also helps a cooperative in achieving logistical efficiency and resource optimization.

The growing number of vehicles in major cities has posed significant challenges in parking lot management. Motorists often have difficulty finding empty parking slots quickly, which not only wastes time but also aggravates traffic congestion and increases air pollution. This research develops a Python-based smart parking system by utilizing the OpenCV library to detect the status of parking slots in real-time. The system uses a camera as the main sensor and processes the image using techniques such as grayscale, Gaussian blur, and adaptive threshold to identify the parking slot status, whether empty or occupied, with good accuracy. The parking slot coordinate data is stored in CSV format to ensure efficient data management. Experimental results with video recordings show that the system is able to operate well in various parking conditions. The system proved to be cost-effective and easy to implement, making it an ideal solution for parking managers who want to improve management efficiency without being burdened with high costs. This research offers a practical solution to help motorists and parking managers optimize parking space usage, reduce search time, and minimize negative impacts such as congestion and carbon emissions.

The decline in the quality and quantity of groundwater resources is one of the biggest challenges in natural resource management in many areas. Mapping the potential of groundwater requires technology that can identify and detect the presence of water sources with high accuracy. The purpose of this study is to develop a groundwater detection application using a capacitance-based remote sensing method, which leverages the principle of capacitance changes on the soil surface due to the presence of groundwater. The capacitance sensing method was chosen because it can detect differences in capacitance between water-filled soil and dry soil. In this study, we integrate a capacitive sensor connected to electronic devices into a mobile application to visualize and analyze the data in real-time. This application aims to enable users, such as farmers and researchers, to easily monitor and detect the presence of groundwater sources at various locations with high efficiency.

The Internet of Things (IoT) has revolutionized agricultural practices by offering real-time monitoring, resource management, and process automation. In Lampung, Indonesia, pepper farming faces challenges such as pests, diseases, and inefficient water usage, hindering productivity. This community engagement program focuses on training vocational school (SMK SMTI Bandar Lampung) students in IoT-based smart farming solutions tailored to pepper plantations. The program employs LoRa-based IoT platforms and automatic irrigation systems to enhance agricultural efficiency and sustainability. By integrating theory and hands-on application, students gain critical digital and technical skills, contributing to the development of a sustainable agricultural ecosystem. This initiative also addresses technological literacy gaps, empowering future generations to embrace innovative approaches for agricultural improvement.

Traffic accidents are one of the leading causes of death worldwide, where drowsiness while driving is a significant factor that reduces driver alertness. This study develops a real-time driver drowsiness detection system using the Eye Aspect Ratio (EAR) method to avoid this. EAR calculates the ratio of the upper and lower eyelid distances to detect signs of drowsiness based on changes in eye shape. This system utilizes the OpenCV and Dlib libraries to identify faces and measure EAR, with a threshold of 0.25 as a warning trigger. If the EAR value drops below the threshold in several consecutive frames, the system automatically activates an alarm to increase driver alertness. With the advantages of cost efficiency and ease of implementation without additional hardware, this system is suitable for various types of vehicles. The results show that this system is effective in providing early warnings, thus helping to reduce the risk of accidents due to drowsiness.

The purpose of developing an outpatient management information system at Waikabubak Regional Hospital is to improve the efficacy and efficiency of the outpatient health service process. The system created will facilitate recording, managing, and monitoring patient health status in real-time. Current manual procedures often result in inaccurate recording, slow administration, and substandard medical data management. This information system is expected to facilitate medical decision-making and smooth the flow of information from patient registration and health checks to treatment and follow-up.

This research focuses on developing an IoT-based automatic irrigation control system for stevia plants to optimize plant growth and water usage efficiency. The system integrates ESP32 microcontroller with soil moisture sensors, DS18B20 temperature sensors, and DHT11 environmental sensors for comprehensive monitoring. Using Research and Development (R&D) methodology with an experimental approach, the system was designed and implemented to automatically control irrigation based on soil moisture levels. The results demonstrate that the system successfully maintains optimal soil moisture by activating the pump when moisture levels fall below 38% and deactivating it above 40%. Real-time monitoring through the Blynk platform enables remote observation and control of environmental parameters. The integration of multiple sensors with IoT technology provides an efficient solution for stevia plant irrigation management, offering potential applications in smart agriculture.

Regional cooperation agreements are not something new, these regional cooperation agreements have a positive impact in improving people's welfare which makes this cooperation based on considerations of efficiency and effectiveness of public services that are mutually beneficial. In practice, there are problems that often arise in regional cooperation agreements. In this research, we want to examine in more depth the flow of implementing regional cooperation agreements and also want to examine what factors cause the failure or non-performance of a regional cooperation agreement with the Sumenep Regency Government. The results of this research are that the stages in regional cooperation agreements are regulated in Minister of Home Affairs Regulation No. 22 of 2020 article 6. And the problems that often arise are 1) The cooperation agreement that will be carried out is not accompanied by a draft of a mutual agreement between the regent and the leadership of the party that will collaborate. 2) Most of the articles on rights and obligations as well as financing have not found common ground so that the draft text of the cooperation agreement that has been discussed has not yet been signed. 3) The draft cooperation agreement that was prepared several times is not in accordance with the Minister of Home Affairs Regulation on Procedures for Regional Cooperation with Other Regions and Regional Cooperation with Third Parties.

Computer-based Accounting Information Systems (AIS) have become a vital element in managing organizational finances in the digital era. To explore the role and benefits of computer-based AIS in increasing efficiency, accuracy and transparency of financial reports. By integrating information technology in the accounting process, AIS enables real-time data collection, processing and analysis, thereby supporting faster and data-based decision making, while also identifying challenges faced in implementing AIS, such as user training needs and issues. data security. That computer-based AIS not only speeds up transaction recording and information management, but also increases collaboration between departments and allows for more accurate and timely reporting. Therefore, computer-based AIS has proven to be an important strategic tool for organizations to improve financial performance and competitiveness in increasingly competitive markets.

This journal discusses the changes in editing in Microsoft Excel, the software that exists in the world. Since the launch of the ribbon interface in Excel 2007, access to editing tools has become more intuitive. The real-time collaboration feature introduced in Excel Online and Excel 2016 allows users to edit documents simultaneously, increasing work efficiency. The integration of AI technology, such as the "Ideas" feature, helps data analysis with automatic suggestions. The addition of new functions and more flexible formatting options strengthens data analysis capabilities. These changes demonstrate Microsoft's commitment to improving the user experience and relevance of Excel in modern business.

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.

Geographic Information Systems (GIS) have become essential technological tools for collecting, storing, processing, analyzing, and visualizing spatial data to support various human activities. The rapid advancement of information technology has significantly expanded the use of GIS, particularly through web-based platforms and mobile applications, enabling wider accessibility and real-time data utilization. This study focuses on analyzing the utilization of GIS applications and websites across multiple sectors and their contributions to improving efficiency, accuracy, and decision-making processes in daily life. The main objective of this research is to identify, evaluate, and synthesize recent developments in GIS implementation through a systematic literature review. Scientific articles were collected from reputable international and national journals published within the last five years (2018–2022). A total of 130 international journals and 100 national journals were initially identified through database searches. After applying relevance screening and inclusion criteria, 33 selected articles were analyzed in depth to extract key findings, application trends, and potential research gaps. The results show that GIS applications and web-based systems play a vital role in supporting various sectors. In education, GIS facilitates spatial mapping for industrial internship placement (PRAKERIN) and school zoning management. In healthcare, GIS assists in mapping healthcare facilities, including pharmacies and hospitals, to improve service accessibility. In transportation, GIS-based systems provide route planning, traffic monitoring, and public transport information to enhance mobility and reduce congestion. GIS applications are also increasingly applied in environmental monitoring, disaster management, urban planning, and natural resource management. Overall, this study emphasizes the growing importance of GIS technologies as strategic tools for data-driven decision-making and sustainable development. The findings are expected to provide valuable insights for researchers, practitioners, and policymakers in optimizing GIS-based solutions to improve public services and quality of life.

The current research aims to measure the role of accounting information technology represented by (Perceived benefit, ease of use) in reducing tax evasion represented by (Fair distribution of tax burden, penalties and penalties, combating tax evasion, employees efficiency, economic conditions) among a sample of employees of tax departments in the Middle Euphrates region, the research has stood on an important problem, which was formulated under the question of the research (What is the role of accounting information technology in reducing tax evasion?),  In order to address the problem, two hypotheses were formulated, and the research relied on the descriptive analytical approach in measuring, describing and analyzing the research variables, and the research relied on the questionnaire tool in collecting the necessary data, As (150) questionnaires were distributed to the concerned tax department employees, and (137) questionnaires were retrieved, with (129) questionnaires valid for analysis and (8) damaged questionnaires. To analyze the results, the (SPSS&AMOS) package was used (V.28). The research summarized several findings, foremost of which was that accounting information technology has an impact in reducing tax evasion. Additionally, there is a high degree of use of accounting information technology in improving the capabilities of tax department employees in the Middle Euphrates region to reduce tax evasion. The research recommends the use of modern accounting information methods and techniques to combat tax evasion and ensure timely payment of taxes in the right place.

Digitalization has greatly influenced the business world, particularly in the recruitment and selection processes. With the integration of communication and information technology, recruitment has shifted from manual methods to technology-driven systems. This shift is also being experienced by companies in Indonesia, including in State-Owned Enterprises (SOEs). In this context, the purpose of this research is to examine the role of digitalization in the recruitment and selection process at PT. Pertamina Hulu Rokan (PHR). This study employs qualitative methods, using three data collection techniques: structured interviews, observations, and literature reviews. The interview samples consist of nine individuals, including students participating in PT. PHR's internship program, internship coordinator from Caltex Riau University, and Human Capital Manager at PT. PHR. The findings indicate that digitalization plays a significant role in the recruitment and selection process at PT. PHR. Key benefits include enhanced efficiency and effectiveness in time management for both recruiters and applicants, cost reduction, increased company engagement and outreach, as well as improved company branding

This research aims to analyze the comparison of using contextual learning media (concrete) involving technology in improving the mathematics learning outcomes of first-grade elementary school students.  The research method used is a qualitative method with a descriptive approach.  Data collection was conducted through observation, interviews, and documentation to understand students' interactions with creative learning media and its impact on their understanding of basic mathematical concepts.  The results of this study indicate that the use of learning media, both contextual (concrete) and involving technology, such as visual aids and educational games, can increase students' interest in learning, help them understand the material more easily, and have a positive impact on their mathematics learning outcomes.  It is hoped that the use of innovative and creative learning media can continue to be applied in mathematics education to support the cognitive development and interest of students in mathematics from an early age.  However, the use of concrete learning media involving counting boards and jumping frogs is hindered by time efficiency.

Time Division Multiplexing (TDM) is a multiplexing technique that enables the transmission of multiple signals over a single communication channel by allocating separate time slots for each signal stream. This study aims to analyze the working principles of TDM, examples of its implementation, as well as the benefits and drawbacks of TDM in communication networks. The findings show that TDM can enhance data transmission efficiency through flexible bandwidth allocation, minimizing signal interference and thereby improving signal quality. Due to these advantages, TDM is widely used in fiber optic communication systems, such as telephone and internet networks. Additionally, all data processing is conducted within integrated circuits utilizing Plastic Optical Fiber (POF), allowing TDM to be implemented at a low cost. 

The design of a village fund assistance information system using the C4.5 algorithm aims to optimize the selection process for prospective aid recipients at the Ogan Ilir Regency Social Service (DINSOS). Currently, the village fund assistance selection process often takes a long time and is prone to inaccuracy and unfairness due to the limitations of the manual system. The C4.5 algorithm was chosen to build an effective decision tree in classifying based on predetermined criteria, such as income, number of dependents, employment, housing status, and expenses. By utilizing the Gain or Gain Ratio value of each attribute, the C4.5 algorithm is able to produce a clear decision tree, which makes it easier for DINSOS to make decisions objectively and transparently. This information system is designed with an easy-to-use user interface and a structured database to facilitate the management of aid recipient data. The results of the implementation of this system show increased accuracy in determining prospective aid recipients and time efficiency in data processing, thus supporting efforts to evenly distribute village fund assistance in Ogan Ilir Regency in a targeted manner.

The function of artificial intelligence (AI) in creating a positive consumer experience on the Shopee e-commerce platform is covered in this study. Nowadays, artificial intelligence (AI) plays a significant role in the e-commerce sector, allowing businesses to offer more individualized, quick, and safe services. This study examines how Shopee customer satisfaction and loyalty are impacted by the use of AI technologies, including chatbots, tailored product suggestions, fraud detection, and inventory management. This study found that AI plays a significant role in making shopping more responsive and convenient by analyzing data on the use of chatbot services, the efficacy of personalized recommendations, the accuracy of predicting customer needs, transaction security, and the efficiency of logistics management. According to the study's findings, implementing AI technology reduced service response times by up to 20% and increased customer satisfaction by 15%. In addition to enhancing service quality, the use of AI increases Shopee customer loyalty. These results demonstrate how AI in e-commerce holds enormous promise for fostering startup expansion and enhancing client connections.