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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.

Enhancing the efficiency of renewable energy on ships is crucial for reducing dependency on fossil fuels. This research employs the Research and Development (R&D) method, aiming to design and implement a solar panel optimization system for battery charging, with a focus on increasing power efficiency and providing real-time performance monitoring. The system is designed using Maximum Power Point Tracking (MPPT) technology to maximize the solar panel's power output. A 200Wp solar panel with dimensions of 1290 x 760 x 30 mm was utilized. Static testing results show that the deployed sensors possess a high degree of accuracy, with an average error of 0.71% for the temperature sensor and only 1.81% for the light sensor used to monitor environmental conditions. Dynamic and system integration tests prove that the MPPT implementation significantly increases power output efficiency by 30.83% compared to a system without MPPT. Furthermore, the system with MPPT charges the battery approximately 27% faster. Additionally, the developed Modbus protocol-based monitoring system enables comprehensive and remote monitoring of key parameters such as voltage, current, temperature, and light intensity via a cloud database. Data communication reliability tests confirmed the system's capability to transmit entire data packets to a Google Sheets database at a periodic interval of 15 seconds without failure. Based on these results, the developed solar panel optimization system is feasible for implementation in maritime environments to enhance the utilization efficiency of renewable energy and the operational reliability of onboard systems.

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 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.

Indonesia is a democratic country. Democracy provides freedom of space to express opinions, suggestions, and criticisms regarding the state. This study examines the neutrality of Apartur Sipil Negara (ASN) as a pillar of public ethics in the era of Indonesian democracy using the perspective of Good Governance theory. According to the World Bank (1992), good governance has four main principles, namely accountability, transparency, rule of law, and participation. However, democracy in Indonesia still faces various challenges that require serious attention. Political education, monitoring of democratic violations, and strengthening democratic institutions must be priorities to ensure democracy can run well. This study uses a literature study method by reviewing academic literature, regulations, and previous research. The results of the study indicate that the neutrality of ASN is the foundation of public administration ethics and an integral part of good governance. However, its implementation faces challenges in the form of patrimonial culture, political intervention, weak supervision, and inconsistent sanctions. Strengthening regulations, internalization of public ethics, and political commitment are needed to ensure the neutrality of ASN is truly maintained as the ideal of Weberian bureaucracy. Violations of the neutrality of Aparatur Sipil Negara (ASN) in Indonesia remain a serious and recurring problem, especially in the lead-up to electoral political momentum. KASN data from 2020–2024 shows that the number of cases of violations of ASN neutrality tends to increase in election years, illustrating the weak internalization and implementation of Good Governance principles according to the World Bank (1992). Regarding accountability, many ASN are still involved in practical political activities that prevent them from being neutral. Transparency, oversight, and enforcement of sanctions are still not optimal because information on violations is not fully disclosed. Regarding the rule of law, handling of ASN violations is still weak, resulting in a lack of deterrent effect. Regarding participation, the public is affected by ASN partisanship, which has the potential to create political pressure that ultimately undermines the quality of democratic freedom.

The increasing integration and digitization of smart grid systems have exposed them to a variety of security threats, necessitating robust security measures to ensure their reliability and efficiency. This paper proposes a novel Digital Twin-Based Cyber-Physical Security Framework, incorporating AI-driven predictive maintenance and zero-trust architecture to address the evolving challenges of securing smart grids. By leveraging digital twin technology, this framework creates a real-time virtual representation of physical systems, enabling continuous monitoring and simulation for enhanced security and operational performance. Zero-trust security principles are integrated to ensure that no entity, whether inside or outside the network, is trusted by default, thus significantly reducing the risk of cyber-attacks. Additionally, AI-driven predictive maintenance enhances the framework’s reliability by proactively identifying potential failures before they occur, reducing downtime and improving system resilience. Through the development and simulation of this framework, including attack and failure scenarios, the paper demonstrates that the proposed system outperforms traditional methods in terms of anomaly detection, system downtime, and response times. The integration of predictive maintenance allows for early identification of component failures, thus enhancing the overall resilience of the grid. The zero-trust architecture further strengthens the cybersecurity posture, preventing unauthorized access and attacks. The study also identifies challenges, such as data synchronization and scalability, which must be addressed for broader implementation in large-scale smart grid systems. The findings suggest that the proposed framework could play a critical role in the future evolution of smart grid security, offering valuable insights for researchers and practitioners.  

Technological advancements, particularly in microcontrollers and the Internet of Things (IoT), have brought significant changes to various aspects of life. Microcontrollers such as the ESP32, DS18B20 sensor, water pH sensor, and other supporting sensors enable the development of efficient automation systems. This research addresses issues related to the design and development of IoT devices for water quality monitoring, as well as the integration of these devices with web-based systems. The objective is to develop a device capable of monitoring water quality parameters such as pH, temperature, turbidity, dissolved materials, salinity projection, and dissolved oxygen projection, while providing automatic notifications under certain conditions. The development process applies the Agile methodology, which allows for rapid and adaptive iterations. Theoretically, this study contributes to improving understanding of IoT implementation and information systems, while practically, it provides a technological solution to support Koi fish farmers in monitoring and managing pond water quality. The expected outcome is a web-based water quality monitoring and management device for Koi ponds that can deliver real-time information and condition notifications, thereby reducing aquaculture risks and improving productivity.

This study aims to analyze the strategic role of the shipping agent, specifically PT. Naval Global Trans Belawan Branch, in ensuring the smooth flow of the maritime logistics chain. The shipping agent functions as a crucial intermediary coordinating contasiner distribution, bridging the interests of cargo owners, shipping companies, and the Belawan Port authority. The research utilizes a descriptive qualitative approach, with data collection performed through field observation and documentary study within the Belawan Port environment. The findings identify that the shipping agent holds broad responsibilities, commencing with container booking according to the required type and size, scheduling vessel arrivals and departures, managing customs and port documentation, and monitoring container movements (from the depot to loading onto the vessel). This role is highly instrumental in determining port throughput efficiency. However, in carrying out its functions, the shipping agent encounters several significant challenges. These constraints include limited container availability, disruptions in the port information system which is not yet optimally integrated, and dynamic changes in export-import regulations. These obstacles potentially cause operational delays and an increase in logistics costs. The study concludes by emphasizing the importance of better information technology integration between the shipping agent and the port authority. Furthermore, enhancing the quality of human resources (HR) through training and certification is key to ensuring that agents can respond to regulatory changes and operational challenges quickly and professionally.

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.

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.

Hypertension is a growing health problem, especially among the elderly and low-educated communities. Hypertension continues to emerge as a critical public health challenge, with increasing incidence and uneven impact, particularly affecting the elderly population and low-educated communities. In response to this situation, a community-based study was conducted in Plumpung Hamlet, Galengdowo Village, with the main objective of increasing residents' knowledge and awareness of primary prevention strategies and self-management of hypertension. The intervention method applied was multimodal, including interactive health lectures, distribution of leaflets designed with easy-to-understand language and clear visuals, and provision of free blood pressure checks that served as a screening tool and immediate awareness. This research design used a participatory approach with pre-test and post-test instruments to measure quantitative changes in participants' understanding, accompanied by blood pressure monitoring activities to evaluate the impact of education on physical health indicators. The evaluation results showed the program's significant success, marked by a 57.69% increase in comprehension scores between the pre-test and post-test sessions, while also showing an improvement trend in the blood pressure values of most participants after completing the entire education series. These findings clearly affirm the fundamental role of sustainable and accessible health education as an effective community-based intervention to mitigate hypertension risk factors and ultimately improve holistic quality of life. The implications of this study highlight the urgency of implementing regular, structured, and targeted education programs, especially those targeting the most vulnerable demographic groups, as a long-term health investment to prevent morbidity and complications from hypertension.  

Village Community Institutions (LKD) play a strategic role in supporting village governance and the implementation of community-based development. However, various challenges remain for many LKDs, particularly in terms of institutional capacity, regulatory understanding, and collaboration among stakeholders. This community service activity aims to strengthen the capacity of the LKD of Pamboborang Village, Banggae Sub-District, Majene Regency, in supporting sustainable village development. The activity was conducted through interactive lectures focusing on improving understanding of institutional functions, strategic roles in planning and monitoring development, and the importance of synergy between the LKD, village government, and the community. Participants included LKD members, village officials, and local community representatives. The results showed an increase in participants’ understanding of the main duties and functions of LKDs, along with a growing collective awareness of the importance of local institutional roles in sustainable development. This activity serves as a tangible contribution to transforming village governance through institutional empowerment. In the future, follow-up actions such as continuous mentoring and practice-based training will be needed so that LKD institutional capacity can develop systematically and independently.

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 Community Service Program (PKM) aims to support the achievement of Sustainable Development Goal (SDG) No. 3 (Good Health and Well-Being) by raising public awareness of the importance of a healthy lifestyle. The program was conducted in Pari Island, Kepulauan Seribu, involving 30 participants from the local community. The activities included health screenings such as blood glucose measurement, blood pressure monitoring, and uric acid level testing, as well as health education on adopting a healthy lifestyle, including balanced nutrition and regular physical exercise. Through this initiative, participants gained a better understanding of how to maintain their health and prevent non-communicable diseases such as diabetes, hypertension, and uric acid disorders. The health screening results indicated that some participants had elevated blood glucose and blood pressure levels, highlighting the need for further intervention through education and lifestyle modifications. Increased awareness was evident from participants' enthusiasm during the health education sessions and interactive discussions with the facilitators. Overall, this program successfully enhanced community knowledge and awareness regarding the importance of a healthy lifestyle while also providing a concrete initial step through early health screenings. It is hoped that this program serves as a starting point for fostering a healthier and more prosperous community in Pari Island, supporting the achievement of SDG No. 3.

This research analyzes the business licensing process for plywood products at PT Anugerah Albasia Abadi Talun, Blitar Regency. It aims to identify the processes undertaken, the obstacles encountered, and to provide recommendations. Employing a descriptive qualitative approach and the Triple Bottom Line framework, data was collected through interviews, observation, and documentation studies. The research findings indicate that the company has successfully fulfilled all complex formal licensing requirements, including the Business Identification Number (NIB), Industrial Business License (IUI), Timber Legality Verification Sistem(SVLK) certificate, Environmental Management and Monitoring Efforts (UKL-UPL), and Forest Product Transportation and Trading License (IPHH), demonstrating a commitment to regulatory compliance. Nevertheless, the licensing process is still hampered by the disharmony between the digital Online Single Submission (OSS) system and manual practices, dynamic regulatory changes that are not yet widely disseminated, limited internal human resource capacity, and a lack of harmonization and coordination among government agencies. The Triple Bottom Line analysis reveals that licensing legality supports economic competitiveness and market access, while social aspects are well-established through local job creation and CSR programs. However, environmental management remains administrative and not yet fully performance-based. Therefore, the research recommendations focus on strengthening internal capacity, optimizing the OSS system, developing proactive environmental management, and enhancing continuous community involvement to achieve higher operational efficiency and sustainability

The presence of Albumin, Microalbumin and Alpha-Feto Protein increase activity in third trimester. The aims of this study is to determine the Implication of Albumin, Microalbumin and Alpha-Feto Protein Variation in preeclamptic pregnant women in the third trimester of pregnancy. Forty (40) consenting pregnant women were recruited from St. Philomina Catholic Hospital, Edo State, Nigeria. Blood samples was spun in a bucket centrifuge at 2500 RPM (rounds per minute) for 10 minutes after which plasma was collected  and stored frozen in plain sample bottles and was analyzed for liver enzymes (albumin, Microalbumin and Alpha-fetoprotein) levels  by fluorescence immunoassay  method. . Data obtained from this study were analysed using Graph Pad Prism 9. Results generated were expressed as mean ± SEM and a P-value of ≤ 0.05 were considered statistically significant. The present study showed that there was statistically significant increase in Albumin, Micro albumin were observed in preeclamptic women compared to normotensive pregnant women, indicating various underlying pathophysiological processes such as liver dysfunction. These findings suggest albumin and Micro albumin are implicated as potential biomarkers in identifying and monitoring preeclampsia. However, levels of alpha-fetoprotein (AFP) did not show significant differences between preeclamptic and normotensive women.

This study aims to design and develop a web-based information system for managing socialization services at the Regional Disaster Management Agency (BPBD) of Banyuwangi Regency. The existing problem is that socialization data management is still carried out using Google Forms and Google Sheets separately, which causes difficulties in integration, monitoring, and reporting activities. This study uses the Research and Development (R&D) method with the Waterfall software development model which includes the stages of needs analysis, design, implementation, testing, and system maintenance. The results show that the developed web-based information system allows input, storage, and presentation of socialization activity data in real-time in one integrated dashboard. This system can simplify the process of monitoring, evaluation, and preparation of activity reports, while increasing the efficiency and accuracy of data management. With this system, BPBD Banyuwangi is expected to provide socialization services to the community in a more effective, transparent, and timely manner.

In facing the digital era, there is a change in conventional broadcasting to digital broadcasting with a focus on multiplatform content distribution. This encourages TVMU to adapt to digital broadcasting. This study aims to understand how media, especially TVMU, formulates strategies, chooses the right approach, implements, and conducts monitoring and evaluation to increase the relevance and reach of its broadcasts. The Media Management Strategy Theory that became the focus of the research from Media Strategy Formulation, Media Strategy Selection, Media Strategy Implementation, Monitoring and Evaluation. A qualitative approach with a case study method was used to extract data through observation and in-depth interviews with relevant informants. The results show that multiplatform content distribution is the main strategy in facing the challenges of digital broadcasting. Social media is utilized for promotion, interaction, and distribution of program excerpts, while the website serves as an additional channel for live streaming and information provision. Television remains the main focus, but digital platforms are used to expand audience reach and attract the younger generation. Monitoring and evaluation processes are conducted regularly to assess the effectiveness of the strategies implemented, with adjustments based on analysis of audience data and digital trends. Key challenges include copyright issues on digital platforms and the difficulty of attracting audiences to educational and da'wah content amidst the dominance of entertainment content. The study concludes that implementing an integrated and adaptive content distribution strategy is an important step to support media sustainability in the digital era. The findings provide guidance for other media in effectively managing content distribution to reach a wider audience.

The reliability of power distribution systems is a crucial factor in ensuring stable electricity supply for industrial, commercial, and household users. Conventional protection systems often face limitations in terms of real-time monitoring, remote control, and adaptive responses to fault conditions, which can result in longer outage durations and higher operational costs. This research aims to develop a smart protection system for power distribution using Internet of Things (IoT) technology to enhance system reliability. The proposed method integrates IoT-enabled sensors, microcontrollers, and communication modules to monitor critical parameters such as voltage, current, and frequency in real time. Data are transmitted to a cloud-based platform for analysis and decision-making, enabling rapid detection of abnormalities and remote tripping of circuit breakers. The prototype was tested under various fault scenarios, including short circuits and overloads, and demonstrated faster response times compared to conventional systems. Results show that the IoT-based protection system improved fault detection accuracy, reduced downtime, and provided predictive maintenance insights through data analytics. The synthesis of these findings highlights that integrating IoT into protection mechanisms not only increases operational reliability but also supports the transition toward smart grids. In conclusion, the developed system proves effective in addressing the limitations of traditional protection systems by offering real-time monitoring, automation, and enhanced decision-making for modern power distribution networks.

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.