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Manual post-harvest paddy stirring requires significant time and labor and often results in uneven mixing, which can affect grain quality. To address this issue, this study designed and implemented a prototype of an Internet of Things (IoT)-based paddy stirring robot to simplify the process and improve efficiency. The system utilizes an ESP32 microcontroller as the main controller, DC motors as the stirring mechanism, and an IoT module for wireless connectivity to a mobile application. The research stages included hardware design, control system programming, IoT platform integration, and performance testing. Testing was conducted to evaluate response time, mixing uniformity, and power consumption. The results showed that the system could be operated remotely via a local Wi-Fi network with an average delay of less than 1 second, enabling real-time control. The prototype successfully stirred 0.3 kg of paddy with a mixing uniformity rate of 92% and an average power consumption of 12 watts. The application of IoT in the paddy stirring mechanism significantly improved time efficiency, reduced manual labor requirements, and maintained grain quality compared to traditional methods. These findings indicate the potential for further development into a large-scale automated paddy processing system with integrated humidity and temperature sensors for real-time quality monitoring, supporting the modernization of post-harvest processing through digital technology.

This study addresses the inefficiencies in the manual student payment administration system currently used at SMK Bina Insan Nusantara, which relies on handwritten ledgers and Microsoft Excel spreadsheets, leading to frequent data errors, delayed reporting, and difficulties in retrieving payment records. The research aims to design a web-based information system to streamline the recording, monitoring, and reporting of student payments. A descriptive research approach was employed, with data collected through direct observation, semi-structured interviews with administrative staff, and literature review. System analysis was conducted using the PIECES framework, and system design followed the Unified Modeling Language (UML) methodology. The proposed system features user authentication, student data management, real-time payment input, digital receipt generation, and automated reporting (daily, monthly, and yearly). Black-box testing confirmed that the system functions as intended, validating inputs, processing transactions accurately, and generating reliable outputs. Findings indicate that the web-based system significantly improves data accuracy, operational efficiency, accessibility, and service quality compared to the existing manual process. The implementation of this system enables school administrators to manage payments more effectively, provides students and parents with timely access to payment information, and supports faster, data-driven decision-making by school leadership and the foundation. Future enhancements could include mobile integration and online payment gateways.

This research presents the design, development, and implementation of a mini smart car prototype that operates using Internet of Things (IoT) technology. The system is built around the ESP8266 microcontroller (Amica version), which functions as the core processing unit responsible for handling Wi-Fi communication and data processing. The motion of the car is controlled by an L298 motor driver module that regulates the operation of DC motors. The entire system is powered by a 3.7-volt rechargeable battery, ensuring portability and energy efficiency. The study discusses in detail the hardware configuration, software programming, and integration of IoT-based control through a web or mobile interface. Functional testing of the prototype, named MINIOT, focuses on evaluating the responsiveness, stability, and reliability of remote control operations. The results are expected to show that the system can effectively receive and execute user commands while transmitting real-time telemetry data, such as motor status and connection indicators. This project demonstrates the feasibility of low-cost IoT-based automation for small-scale robotic applications.

Lengthy, disorganized physical queues in conventional food ordering systems, particularly within canteens, significantly compromise customer convenience and operational efficiency. This direct-ordering model often results in crowd congestion, unpredictably long waiting times, and potential friction among patrons. To address these operational issues and substantially enhance user satisfaction, this research proposes the development and implementation of an innovative Web-Based Food Ordering System. This digital platform allows customers to place orders entirely online, effectively eliminating the need for physical queuing. The system's core functionality is the realtime monitoring of order status and queue position, providing transparent information directly to the customer's device. For canteen management, the application offers a crucial tool for integrated and structured order handling, ensuring staff can prepare meals more accurately and promptly. By transforming the ordering process into a streamlined digital workflow, the system is expected to accelerate the service cycle, minimize unnecessary crowding, and substantially improve customer satisfaction through a modernized, well-organized, and highly efficient experience. This initiative represents a significant step toward smarter and more responsive food service operations.

This study aims to analyze how the integration of Islamic economic values operates in the management of School Operational Assistance (BOS) funds in Islamic schools and to identify supporting and inhibiting factors, as well as stakeholders’ perceptions regarding the application of sharia values in financial administrative practices. The research employs a qualitative descriptive approach using data reduction, data display, and conclusion drawing stages. The findings reveal that Islamic economic principles such as amanah (trustworthiness), sidq (honesty), al-‘adl (justice), and mas’uliyyah (accountability) have been internalized within the organizational culture and individual behavior of school managers, although not yet fully institutionalized. Supporting factors include religious leadership, Islamic ethical organizational culture, and community participation, while the main constraints involve limited human resources, low literacy in sharia accounting, and the absence of a faith-based monitoring system. Stakeholders demonstrate a strong moral awareness of sharia values but with limited technical understanding. The study concludes that effective integration requires synergy between spiritual values, technical capacity, and institutional policies to establish transparent and socially just financial governance in Islamic education institutions.

Attendance is an essential component of school management that serves as both proof of presence and a basis for evaluating the discipline of teachers, students, and staff. The manual attendance system that is still widely used often leads to several issues, such as delayed data recapitulation, potential attendance manipulation, and low recording accuracy. This study aims to design and develop a web-based attendance application at SD Negeri 19 Pasar Cubadak by integrating geolocation, timestamp, and face recognition features as attendance validation tools. The research method employed is the Research and Development (R&D) approach using the Waterfall software development model, which includes the stages of requirements analysis, system design, implementation, and testing. The application was developed using the Laravel framework with PHP and JavaScript programming languages and a MySQL database. The results show that the web-based attendance application can record attendance in real-time, automatically validate user location and identity, and generate accurate and transparent attendance reports. The User Acceptance Test (UAT) results indicate that the system is user-friendly, improves recapitulation efficiency, and assists the principal in objectively monitoring school members’ discipline. Therefore, this application is expected to serve as a modern solution to enhance the effectiveness of attendance administration in primary education environments.

The Info BMKG application is a digital platform developed by the Meteorology, Climatology, and Geophysics Agency (BMKG) to provide information on weather, earthquakes, air quality, and early disaster warnings. This application is expected to enhance public preparedness in facing potential natural disasters. However, in its implementation, the Info BMKG application still encounters several issues, one of which is delays in delivering weather and disaster information. This study aims to analyze the effectiveness of the Info BMKG application in providing weather and disaster information. The research applies Budiani's (2007) theory, using four indicators: Program Target Accuracy, Program Socialization, Program Objectives, and Program Monitoring. This study employs a qualitative descriptive method with data collection through interviews, observations, and documentation. The findings indicate that the Info BMKG application has made a significant contribution to supporting public preparedness for disasters. While the application is relatively effective in providing weather and disaster information in North Jakarta, further development is still needed. Improvements in information accuracy, notification speed, and enhanced public socialization will help improve the quality of the application’s services in the future.

This research aims to design and build an Internet of Things (IoT)-based electrical energy monitoring system on a Darrieus turbine prototype to optimize energy yield. This research using the Research and Development or RnD method, this method was chosen by researchers because it can provide solutions, enable the development and application of more effective learning methods. The system uses NodeMCU ESP32 sensors to measure important parameters such as voltage, current, power, and energy produced by the turbine. The collected data is then analyzed and visualized through IoT platforms such as ThingsBoard, which allows real- time monitoring of the turbine's performance. The integration of IoT in this system is expected to improve energy use efficiency by providing useful information for management and decision-making in turbine operations. This research also fills the gap in Darrieus turbine development with an approach that combines IoT-based monitoring and energy yield optimization, and can be applied to improve the efficiency of renewable energy in Indonesia

This study designs and implements Bank Jali, a web-based bank queue system that applies a queue data structure with the First In First Out (FIFO) principle to improve service efficiency. The research and development method includes requirement analysis, design, implementation, testing, and evaluation. The application is built with HTML, CSS, and JavaScript, storing queue data temporarily through localStorage so the entire process runs client-side without a dedicated server. Key features include online queue registration, digital ticket generation, real-time status monitoring with waiting-time estimation, and an admin dashboard for managing teller and customer service queues. Testing shows the system operates reliably, processes queues according to FIFO, and provides a practical, lightweight user experience across devices.

The rapid development of information technology has created significant opportunities for secondary schools to improve the quality of learning through the use of digital-based applications. This study aims to design and develop a web-based tutoring application for students of Junior High School (SMP) Negeri 1 Tana Righu by applying Object Oriented Technology (OOT) as the software development approach. OOT was chosen for its ability to simplify the system design process through structured modeling using the concepts of classes, objects, attributes, and relationships between objects. The developed application provides various features, including the presentation of learning materials, interactive practice questions, learning outcome evaluations, and student progress reports accessible in real time by both teachers and students. The research method consisted of needs analysis, system design using UML diagrams, implementation, and application testing. The testing results indicate that the tutoring application is effective in improving the learning process, assisting teachers in monitoring and evaluating student progress, and providing students with a more engaging and interactive learning experience. Therefore, this application is expected to serve as an innovative solution to support tutoring activities in secondary schools and contribute positively to enhancing the quality of education in the digital era.

PT Intelix, a technology and information company with numerous collaborative projects, faces challenges in effective project management and monitoring. Despite utilizing project management applications like Jira, the generation of final reports often remains a manual process using Microsoft Excel, which is time-consuming and prone to errors. To address these issues, PT Intelix developed an internal Project Management application, yet it required further enhancements in its dashboard and reporting features for more detailed project monitoring optimization. This research aims to develop the Dashboard menu by adding a priority project table and several sub-menus in the Report menu to accelerate and simplify the preparation of final project reports. The development methodology employed is Agile Kanban, encompassing planning, system and interface design, incremental development and implementation, and testing. System functionality testing was conducted using Black Box Testing and User Acceptance Test (UAT) involving the project owner and end-users from PT Intelix. Test results showed all main functions running smoothly and stably, with all black box scenarios passing. UAT testing on six menus received a "very good" response from the project owner and users. The SUS evaluation of three users scored a 5 on the scale, with several scoring a 4, indicating a good system. Performance testing with 10 simultaneous users also demonstrated stable traffic and no errors.. The development of High Priority Project, Milestone Project, and Implementation Project features on the Dashboard successfully presented more detailed project information, while the addition of sub-menus in the Report accelerated report generation. Thus, this development successfully optimized integrated project monitoring and reporting at PT Intelix, reducing manual effort and enhancing data accuracy for decision-making.

The development of wearable technology, especially smartwatches, opens up great opportunities in preventive health monitoring, especially in rural areas such as Sembung Village, Wringinanom, Gresik, where access to health services is limited. However, this technology is still alien to the local community. Preliminary surveys show that the majority of citizens, including health cadres, have never used or even seen a smartwatch in person, and view it as a luxury and irrelevant item. In fact, the potential of smartwatches as “digital health assistants” is huge from tracking heart rate, blood oxygen levels (SpO₂), stress levels, to physical activity reminders that are essential for early detection of health disorders. This service activity aims to improve digital literacy and adoption of smartwatch technology through a participatory educational approach and direct assistance. Implementation methods include: (1) coordination with the village government and health workers, (2) Interactive socialization using local languages, (3) step-by-step practical training, (4) simulation of application in the field, and (5) pre-test and post-test evaluation of 27 participants (25 health cadres, 1 midwife, 1 nurse). The results showed significant improvements: function understanding from the original value of 1.8 increased to 4.2, consumption interest from the original value of 2.1 increased to 4.0, benefit perception from the original value of 1.9 increased to 4.3, self confidence from the original value of 1.5 increased to 3.8, and digital literacy awareness from the original value of 2.0 increased to 4.1. The hands-on approach proved effective in changing participants ' mindset from skeptical to enthusiastic, proving that the digital divide is not due to incompetence, but the lack of access to contextual education. The implication is that smartwatch has the potential to become a strategic tool for village health cadres in early detection and real-time data-based health education, provided that it is supported by sustainable mentoring.

This study analyzes the implementation of risk management at PT Lippo General Insurance Tbk over 2022–2024 using a qualitative descriptive approach. The review focuses on the four core risk-management cycles: identification, measurement, monitoring, and mapping–mitigation and on one key output: the risk profile assessment (inherent risk rating, quality rating of risk-management implementation, and implementation of risk level). The results indicate that risk-management processes are consistent and well documented through a risk register and supported by a Risk Management Information System, enabling rapid linkage of findings to action plans. Overall, the composite risk profile remains low, underpinned by a moderately strong quality of implementation and risk-level application. On the inherent-risk dimension, dynamics are observed: strategic risk improves in the final year, while insurance, credit, and liquidity risks rise relative to 2023. Nevertheless, the consistency of implementation quality and disciplined execution mitigates these effects, keeping the composite profile stable. Managerial implications include strengthening underwriting and claims management, enhancing counterparty and reinsurance quality, and enforcing liquidity discipline, while maintaining a strong risk culture and tiered monitoring mechanisms.

The IoT-based CO and COHb gas detector is a device used to detect the presence of carbon monoxide (CO) gas and the level of carboxyhemoglobin (COHb), supported by Internet of Things (IoT) technology for remote monitoring and real-time reporting. This device will be used in hospital rooms, serving as an important solution in efforts to ensure the safety of patients, medical staff, and hospital visitors. With the presence of the CO and COHb gas detector, hospital staff will find it easier to detect the presence of CO gas in the rooms within the hospital. The operation of this device is quite simple: just place the device in the room in the "on" condition, and it will automatically detect the CO and COHb gas present in that room. The measurement results of CO and COHb gas will be directly sent to Google Sheets for storage of the measurement results. The creation of this device requires several components, such as the ESP32 as the microcontroller, DHT11 as the temperature detection sensor, MQ7 as the CO gas detection sensor, and the application of IoT using a Google Sheets web app to monitor results remotely and store measurement results. According to the analysis of the device created by the researchers, the performance or functionality test results of the CO and COHb gas detector can be used smoothly. The author conducted functional tests or performance tests of the device by measuring data in a free room, roadside environment, motorcycle exhaust smoke, active smokers, and passive smokers.

This study investigates teachers’ perceptions, challenges, and institutional support related to the implementation of Differentiated Instruction (DI) in a rural Indonesian secondary school under the context of the Kurikulum Merdeka reform. While DI is widely recognized as a student-centered pedagogical framework that adapts content, process, product, and learning environment to students’ readiness, interests, and learning profiles (Tomlinson, 2017), its application in rural contexts remains underexplored. Employing a qualitative case study design, data were collected from three English teachers and two school stakeholders at MTs N 2 Manggarai Barat through semi-structured interviews, questionnaires, and classroom observations. Thematic analysis revealed that teachers perceived DI as a way to recognize learner diversity and as part of curriculum compliance, but their practices often remained partial and uneven. Stakeholders expressed awareness of DI, though with differing emphases: the headmaster focused on inclusivity, while the curriculum coordinator referred to multiple intelligences and student potential. Teachers faced challenges in three main areas: managing student diversity and curriculum shifts, preparing the Modul Ajar, and addressing students’ limited English vocabulary. Institutional support was evident through facilities, monitoring, and professional development, yet remained largely administrative rather than pedagogical. These findings confirm earlier studies that DI in Indonesia is conceptually valued but practically constrained by systemic, contextual, and linguistic barriers. The study recommends sustained, hands-on professional development, leadership mentoring, and reduced administrative burdens to enable DI’s transformative potential in rural schools.

Background: Maritime engineering has traditionally relied on reactive and preventive maintenance strategies, often leading to operational inefficiencies, unplanned downtime, and excessive costs. With the rise of smart ship technologies, predictive maintenance (PdM) has emerged as a data-driven solution, leveraging sensor-based monitoring and real-time diagnostics to optimize ship maintenance. However, its integration into maritime education remains underexplored, particularly in training vessels used for vocational learning. Original Value: This research contributes new insights into the feasibility, effectiveness, and educational relevance of predictive maintenance in maritime vocational training. Unlike previous studies that focus on commercial ship applications, this study examines PdM within the context of training vessels at Poltekpel SULUT, bridging the gap between academic training and industry expectations. Objectives: The study seeks to answer: How does predictive maintenance improve the efficiency, cost-effectiveness, and reliability of naval auxiliary systems in training vessels? Methodology: A qualitative approach was employed, integrating sensor-based performance analysis, structured interviews, and questionnaire surveys involving cadets, instructors, and industry professionals. Data were analyzed through thematic categorization, cross-group comparisons, and narrative synthesis. Results: PdM demonstrated high effectiveness in reducing downtime (92/100), optimizing maintenance efficiency (91/100), and aligning with industry practices (89/100). However, challenges in sensor accuracy (85/100) and training integration were identified. Conclusions: The findings highlight the necessity of incorporating predictive maintenance into maritime training curricula to equip future engineers with the skills required for Industry 4.0 maintenance solutions, ensuring better operational efficiency and sustainability in the maritime sector.

Modern industries require automation to enhance operational efficiency and productivity. This study designs and implements an automatic sorting system based on the Internet of Things (IoT) using a mini conveyor, ESP32 microcontroller, TCS3200 color sensor, servo motor, and the Blynk application. The system is designed to accurately detect object colors, sort objects based on color, and enable remote monitoring and control via mobile devices. Testing results indicate that the system can detect and sort objects with a high level of accuracy, although some errors occur due to changes in lighting conditions. The conveyor speed is consistently recorded at 0.335 m/s, while the system's response time, including color detection, servo movement, and application updates, operates within an optimal range. The Blynk application enhances the flexibility of real-time system control. This study demonstrates that IoT-based sorting systems can serve as an efficient solution to support industrial automation. Further development is recommended to improve color detection accuracy and expand the system's application in more complex industrial scenarios.

The banana chip business in Ledokombo Village, Jember Regency, is one of the sources of livelihood for the local community. However, increasingly fierce business competition has led to a decrease in demand and has an impact on declining turnover of MSME actors. Marketing that is still conventional is one of the factors limiting product reach. This community service activity aims to increase the marketing capacity of MSME actors through digital marketing training. The training was carried out for four weeks with stages: problem analysis, provision of branding and digital marketing materials, assistance in making packaging labels, marketplace accounts (Shopee) and social media (Instagram), as well as monitoring and evaluation. The results of the activity show that MSME actors understand the importance of digital marketing strategies, are able to create "The King" product packaging labels, and have Shopee and Instagram accounts that are actively used for online sales. Business actors are also getting used to operating digital application features that support the marketing process. This activity has a positive impact on increasing product attractiveness and expanding consumer reach. Thus, digital marketing training has proven to be effective as an innovative solution in facing MSME marketing challenges, as well as being a model for local economic empowerment that can be replicated in other regions with similar characteristics.

Based on the results of initial interviews and observations, it was found that several students still experienced difficulties in writing procedural texts effectively. These difficulties included a lack of understanding of the structure and characteristics of procedural texts, challenges in expressing ideas in written form, limited ability to compose coherent and communicative sentences, and the use of monotonous learning models that failed to stimulate student motivation. This study aims to describe the implementation of the Project Based Learning (PjBL) model based on the Tri N approach (Niteni, Niroke, and Nambahake) to improve the procedural text writing skills of fourth-grade students at Sidomukti Elementary School, Ambal Sub-district, Kebumen Regency, as well as to identify the improvement in writing skills after its application. The research employed a descriptive qualitative method with data collection techniques including observation, tests, and documentation. Data analysis was conducted through the stages of data reduction, data display, and conclusion drawing. The findings revealed that the application of the PjBL model integrated with Tri N values significantly improved students’ ability to write procedural texts. The learning process was carried out through six main stages of PjBL: formulating essential questions, planning projects, creating schedules, monitoring student activities, testing results, and evaluating learning experiences. The integration with Tri N principles encouraged students to understand, imitate, and develop their writing skills gradually. Thus, the PjBL model based on Tri N proved effective in helping students overcome writing difficulties while also fostering creativity, independence, and active participation in the learning process.

A partnership agreement is a form of business collaboration, either directly or indirectly, that is established based on the principles of mutual need, mutual trust, mutual reinforcement, and mutual benefit. Such partnerships generally involve Micro, Small, and Medium Enterprises (MSMEs) working with larger businesses in order to create a fairer and more sustainable business relationship. However, in practice, the implementation of partnership agreements often does not reflect these fundamental principles. This is also evident in the nucleus-plasma scheme within the palm oil plantation sector, where the relationship between the nucleus companies and plasma farmers tends to show an imbalance of bargaining power. This study aims to examine the application of partnership principles in the implementation of nucleus-plasma agreements in palm oil plantations, viewed from the perspective of prevailing legislation, particularly the Law on Micro, Small, and Medium Enterprises (MSME Law). The findings indicate that the application of partnership principles has not yet been fully implemented consistently. The partnership relationship remains unequal and is largely dominated by the nucleus companies, creating a sense of injustice for plasma farmers. In terms of supervision, the Indonesian Business Competition Supervisory Commission (KPPU) plays a crucial role in ensuring that partnership agreements are carried out in line with these principles. One of the measures taken is monitoring the implementation of behavioral change commitments by business actors. KPPU ensures that nucleus companies do not abuse their dominant position and continue to provide fair opportunities for plasma farmers. Therefore, this study highlights the importance of strengthening oversight and enforcing regulations so that the objectives of nucleus-plasma partnerships in palm oil plantations can truly be realized in accordance with the principles mandated by law.