Publication Search

This study aims to explore the implementation of Standard Operating Procedures for immigration services at TPI Tanjung Priok Port and examine its impact on service effectiveness in Indonesia's maritime sector. The research employed a qualitative approach to analyse the gap between formal SOP guidelines and on-the-ground practices, examining internal and external factors, including resource limitations, technological constraints, and inter-agency coordination issues. The findings reveal significant disparities that lead to both positive and negative discretion amongst frontline Immigration officers, influencing service consistency, efficiency, and transparency. Negative discretion results in procedural deviations that compromise reliability and potentially foster corruption, delays, and inefficiencies. In contrast, positive discretion emerges as adaptive responses indicating weaknesses in SOP design or infrastructure. The study concludes that enhancing frontline officers' competence, motivation, and accountability is essential for achieving desired outcomes, whilst integrating technological solutions such as digital documentation and real-time monitoring is vital for streamlined, transparent, and accountable procedures. Improving SOP adherence, coupled with better resource allocation and inter-institutional cooperation, can significantly reduce vessel turnaround times, lower logistics costs, and bolster maritime competitiveness. The research advocates for dedicated training programmes, supervisory systems, and technological innovations to ensure SOP compliance, minimise discretion-driven deviations, and promote accountability, thereby optimising maritime service delivery and supporting Indonesia's strategic maritime development objectives.

Household waste management is a significant challenge in creating clean, healthy, and sustainable residential areas. Dependence on manual monitoring methods often leads to delays in waste collection, waste pile-ups, and operational inefficiencies. This community service program implements a Smart Trash Monitoring Sistem (STMS) based on the Internet of Things (IoT) in Graha Panyindangan Estate, Indramayu. The system utilizes ultrasonic sensors and ESP32 to detect waste levels and sends real-time data to a dashboard accessible by residents and cleaning staff. The results of implementing STMS show improved efficiency in waste management, with waste collection being carried out on time based on accurate, real-time data. This system also reduces the need for manual inspections and encourages responsible waste management behavior among residents. In addition to technical benefits, there have been social changes, such as increased environmental awareness and the formation of new social norms within the community. The involvement of local leaders in supporting the system’s sustainability further strengthens the implementation of the smart living concept, resulting in a cleaner, healthier, and more sustainable residential environment in the long term.

Household waste management is a significant challenge in creating clean, healthy, and sustainable residential areas. Dependence on manual monitoring methods often leads to delays in waste collection, waste pile-ups, and operational inefficiencies. This community service program implements a Smart Trash Monitoring Sistem (STMS) based on the Internet of Things (IoT) in Graha Panyindangan Estate, Indramayu. The system utilizes ultrasonic sensors and ESP32 to detect waste levels and sends real-time data to a dashboard accessible by residents and cleaning staff. The results of implementing STMS show improved efficiency in waste management, with waste collection being carried out on time based on accurate, real-time data. This system also reduces the need for manual inspections and encourages responsible waste management behavior among residents. In addition to technical benefits, there have been social changes, such as increased environmental awareness and the formation of new social norms within the community. The involvement of local leaders in supporting the system’s sustainability further strengthens the implementation of the smart living concept, resulting in a cleaner, healthier, and more sustainable residential environment in the long term.

The high-value horticulture sector has gained increasing attention in modern agricultural development, particularly in the cultivation of premium melon through greenhouse and fertigation systems. The Satria Tani Hanggawana Cooperative has initiated premium melon farming to enhance members’ income; however, investment decisions in high-value commodities require a comprehensive financial feasibility assessment to ensure business sustainability. This study aims to analyze the financial feasibility of premium melon farming by examining production costs, revenue, income, and financial efficiency indicators. Using a descriptive method with qualitative and quantitative approaches, the research was conducted through direct observation and interviews in two active greenhouses. The results show that the total production cost for one planting season reached Rp20,413,750, dominated by variable costs, reflecting the intensive input requirement to maintain product quality. The total revenue of Rp33,950,000 generated a net income of Rp13,536,250, indicating that the enterprise is financially profitable. The R/C Ratio of 1.67 confirms that the business operates efficiently, while the B/C Ratio of 0.67 indicates that net benefits remain below total costs due to reduced production caused by pest disturbances. The break-even analysis further shows that actual production far exceeded the minimum threshold required to avoid losses. Overall, the findings demonstrate that premium melon farming is financially viable, yet improvements in cost management, production monitoring, and greenhouse operational efficiency are essential to enhance profitability and long-term sustainability for the cooperative.

Household waste management remains a critical challenge in creating clean and sustainable residential environments. Manual monitoring methods often lead to delayed waste collection, overflowing bins, and operational inefficiency. This community engagement program implements an Internet of Things (IoT)-based Smart Trash Monitoring SIstem (STMS) at Graha Panyindangan Estate, Indramayu. The sIstem utilizes ultrasonic sensors and ESP32 microcontrollers to detect the fill level of household waste containers and transmit data in real time to a user-accessible dashboard. The results demonstrate that the STMS provides accurate waste-level information, reduces manual inspections, enhances collection efficiency, and fosters data-driven behavior among residents. Social changes also emerged, including improved environmental awareness, new social norms, and the emergence of local leaders supporting sIstem sustainability. This program contributes to the realization of smart living in modern residential communities, ensuring better waste management, cleaner environments, and more sustainable practices for future generations. It also provides valuable insights into the role of technology in addressing environmental issues at the community level.

Human resource development is the process of preparing individuals to take on higher or different responsibilities within an organization, including enhancing intellectual abilities to support efficient task performance. This study aims to determine the extent to which human resource development contributes to improved employee performance at the East Lombok Regency Health Office. The qualitative, descriptive approach involved eight informants, consisting of officials familiar with the implementation of human resource development and staff who had participated in the program. The results indicate that education and training conducted by the East Lombok Regency Health Office have supported improved employee performance, as evidenced by more structured task implementation, public health monitoring surveys, and a decrease in maternal and infant mortality rates. However, in terms of human resource management, there are still shortcomings, with an average of 28 health workers per health facility, both civil servants and non-civil servants, reflecting an imbalance in workforce needs. Furthermore, the implementation of human resource development is supported by leadership commitment, inter-agency collaboration, and budget support from the provincial and central governments. However, it is hampered by limited qualified personnel, frequent policy changes, and the impact of natural disasters.

Suhu dan kelembaban merupakan parameter lingkungan yang harus dijaga pada ruang kubikel untuk memastikan peralatan distribusi listrik tetap bekerja secara optimal. Pada multi-kubikel, perbedaan fungsi dan beban menyebabkan karakteristik suhu dan kelembaban pada tiap ruang kubikel tidak sama, sehingga pemantauan secara manual menjadi kurang efektif dan efisien. Penelitian ini bertujuan untuk merancang dan membangun prototype sistem monitoring dan kontrol suhu-kelembaban pada multi-kubikel berbasis Internet of Things (IoT) yang terdiri dari tiga buah kubikel. Sistem ini menggunakan ESP8266 sebagai mikrokontroler utama dan sensor DHT20 sebagai sensor suhu dan kelembaban yang masing-masing dipasang pada kubikel dengan kondisi lingkungan berbeda. Sistem dilengkapi dengan aktuator kipas dan lampu, serta notifikasi real-time melalui LCD dan Telegram. Meskipun kontrol dan monitoring dilakukan secara terpisah pada tiap kubikel, notifikasi kondisi seluruh kubikel terintegrasi pada satu kanal Telegram yang sama. Pengujian kinerja sistem dengan memberikan variasi suhu dan kelembaban yang berbeda untuk tiap kubikel. Kubikel 1 diberi kondisi normal (suhu 35°C-40°C dan kelembaban 50%-70%), kubikel 2 diberi kondisi overheat (suhu di atas 40°C), sedangkan kubikel 3 diberi kondisi overhumidity (kelembaban > 70%). Hasil pengujian menunjukkan sistem mampu melakukan kontrol suhu dan kelembaban dalam ruang multi-kubikel serta mengirimkan notifikasi melalui Telegram dengan tingkat keberhasilan 100% dan rata-rata delay 5,6 detik.

The integration of cloud computing and data security systems is vital for the operational success and competitiveness of fintech startups. Cloud computing enables these startups to scale quickly, manage resources efficiently, and reduce infrastructure costs, making it an indispensable tool for businesses in the rapidly evolving fintech sector. However, with the benefits come significant challenges, particularly in data protection and cybersecurity. As fintech services handle sensitive financial data, ensuring robust security measures such as encryption, access controls, and continuous monitoring is crucial to maintaining user trust. Furthermore, regulatory compliance, both local and global, adds complexity to the data protection strategies of fintech companies. This research explores the key factors that drive cloud adoption in fintech, the security challenges associated with cloud environments, and the strategies implemented by startups to address these challenges. Interviews with IT managers from Indonesian fintech startups reveal that while cloud computing offers scalability and cost-effectiveness, issues like compliance with local regulations and the protection of sensitive data remain major concerns. The research suggests that fintech startups should invest in both cloud infrastructure and advanced cybersecurity measures to protect their operations and customer data. Additionally, creating a comprehensive roadmap for regulatory compliance and fostering partnerships with cybersecurity firms will help mitigate risks and ensure long-term success. The findings highlight the importance of integrating cloud computing with effective security strategies to navigate the complex regulatory and security landscape of the fintech industry.

This study explores the conceptual integration of Environmental, Social, and Governance (ESG) reporting and data analytics within the framework of sustainable digital accounting, with Industry 5.0 acting as a moderating paradigm. As organizations increasingly face demands for transparency, ethical governance, and sustainable operations, the limitations of traditional accounting systems have become evident. ESG reporting plays a crucial role in communicating non-financial performance and guiding strategic decisions aligned with stakeholder interests and regulatory expectations. However, the effectiveness of ESG disclosures is often hindered by fragmented data structures, inconsistent standards, and insufficient technological support. Data analytics, when integrated into ESG processes, enhances the precision, timeliness, and reliability of sustainability disclosures through predictive modeling, anomaly detection, and real time performance monitoring. Yet, despite its potential, the adoption of data analytics in accounting remains limited and under-theorized. Industry 5.0 introduces a human centric approach to technological transformation, emphasizing ethical innovation, inclusivity, and resilience. By positioning Industry 5.0 as a contextual and moderating framework, this study offers a novel perspective on how ESG and data analytics can synergize to create ethically aligned, future-ready accounting systems. Employing a systematic literature review, the research develops a conceptual model linking ESG, data analytics, and Industry 5.0, providing insights for academics, practitioners, and policymakers aiming to embed sustainability into digital accounting systems. The findings underscore the importance of aligning digital tools with ethical and societal values to advance accountable and sustainable business practices..    

The increasing global energy demand drives the search for efficient and sustainable renewable energy solutions. Solar panels have become one of the most widely used technologies; however, their efficiency remains limited when installed in a static position. This research aims to analyze the performance of a single-axis auto tracking system on a 10WP solar panel integrated with the Internet of Things (IoT) for real-time monitoring, specifically in powering a portable powerbank. The research method employed was a quantitative experimental design with three testing scenarios: powerbank charging using an auto-tracking solar panel, a static solar panel, and conventional household electricity as a comparison. Charging data were collected via an IoT system integrated with the Blynk application in real-time. The results indicate that the auto-tracking system increased charging efficiency by around 10%, compared to only 6% with a static panel in one hour. This performance is nearly equal to household electricity charging, which reached approximately 10–11%. The study concludes that the single-axis IoT-based auto-tracking system significantly enhances the performance of small-scale solar panels and holds strong potential for portable energy solutions in remote areas.

Food safety is crucial for maintaining public health, especially in rural areas that face limitations in knowledge and resources to detect harmful substances in food products. The PKK Group of Borisallo Village, Gowa Regency, has great potential to become an agent of food safety education and monitoring. However, they still face limitations in understanding the impact of pathogenic microbes, pesticide residues, and harmful chemicals such as formalin, borax, and synthetic dyes. This Community Service Program (PKM) aims to enhance the knowledge and skills of PKK members through education and training on detecting harmful substances using simple organoleptic methods and household tests. The activities include counseling, self-detection demonstrations, and providing supporting tools such as portable stoves and frying pans for home practice. The results show a significant improvement in participants' knowledge, especially regarding the characteristics of contaminated food and natural inspection techniques. The PKK group also showed high enthusiasm in disseminating food safety information. This program enhances the capacity of PKK as agents of change, strengthens the culture of food safety at the household level, and supports sustainable education through collaboration with the village government and health centers. It is hoped that this can be replicated in other villages.

Plastic waste detection in indoor environments is an essential challenge in the development of intelligent cleaning systems and robotic automation. Small and medium-sized plastic debris is often difficult to identify using conventional methods due to variations in color, shape, and reflectance. This study proposes an image-processing-based approach that combines thresholding and contour detection techniques to improve the accuracy of detecting plastic objects on floor surfaces. The initial stage involves converting the image into a color space that is more stable under varying illumination, such as HSV or grayscale, to reduce the influence of lighting intensity. Subsequently, adaptive thresholding is applied to separate plastic objects from the background by using dynamic threshold values tailored to the image’s conditions. The segmentation results are refined through morphological operations such as opening and closing, enabling the removal of small noise and enhancing the clarity of object boundaries. The core stage of the system employs contour detection to extract object shapes and areas, allowing the identification of plastic waste based on size, perimeter, and specific geometric characteristics. Experiments were conducted under different lighting conditions and various floor types, and the results demonstrate that the proposed approach successfully detects plastic debris with satisfactory accuracy and relatively fast processing time. Therefore, this method is suitable for implementation in robotic cleaning systems, indoor cleanliness monitoring devices, and other computer vision applications requiring real-time and efficient object detection.

The purpose of this activity is to socialize the implementation of biosecurity as an effort to prevent disease in cattle in Luhulely Village, Pulau Letti District, Southwest Maluku Regency. This activity was carried out using a socialization method involving beef cattle farmers and all Luhulely Village staff. The implementation of the activity was divided into 2 sessions, namely a material presentation session and an interactive discussion session. Some general steps in implementing biosecurity include the following: access management, animal movement control, cleanliness and sanitation, waste management, animal health monitoring, and vaccination. This socialization activity was attended by approximately 20 participants consisting of beef cattle farmers and several Luhulely Village staff. Several important things that can be concluded from the implementation of this activity are as follows: the majority of farmers showed an increased understanding of the importance of biosecurity after participating in the socialization, the farmers expressed their readiness to implement various biosecurity measures, such as quarantine of new livestock, waste management, and provision of adequate sanitation facilities in the livestock area, and several farmers requested further assistance regarding the implementation of more detailed biosecurity, including correct livestock vaccination techniques. The conclusion of this activity is that the socialization of biosecurity implementation on cattle farms is expected to increase farmers' awareness and understanding of maintaining livestock health and preventing disease transmission. Through proper biosecurity implementation, it is hoped that healthy, more productive, and sustainable livestock conditions will be created.

Social media has become an integral part of adolescent life, including that of junior high school students. While it offers benefits in terms of communication and access to information, social media also brings negative impacts on students’ ethical development, such as impolite behavior, the spread of hoaxes, and cyberbullying. This study aims to describe the strategies implemented by SMP Negeri 05 Kota Bengkulu in addressing the negative effects of social media on student ethics. The research employed a descriptive qualitative method with data collected through interviews, observations, and documentation. The findings reveal that the school implements five main strategies: (1) internal policies such as prohibiting the use of mobile phones during class hours, (2) integration of character education into the curriculum, (3) implementation of digital literacy programs, (4) collaboration with parents in monitoring social media use at home, and (5) positive utilization of social media for publishing student work and promoting digital ethics campaigns. These strategies have proven effective in shaping responsible digital behavior and reinforcing students’ ethical values. These findings align with previous studies that emphasize the importance of character education, digital literacy , and school–parent collaboration in fostering students’ digital ethics. Through an educational and preventive approach, school strategies can serve as an effective solution in addressing ethical challenges in the digital era.

Fortuna Furniture still manages its inventory manually, which causes many problems, including delayed reports, inaccurate information, and the potential for lost records. These issues affect the quality of decision-making and operational efficiency. This service aims to build a web-based inventory information system that improves speed, accuracy, and integration in inventory management. The system development process follows the Waterfall model SDLC approach, with requirements analysis, design, implementation, and testing supported by interviews, observation, and documentation. The results of the activity show that the developed system can reduce input errors, speed up the process of recording incoming and outgoing goods, and enable real-time stock monitoring. Additionally, the report generation process becomes more efficient and easier for management to access. Overall, the use of this information system significantly improved the efficiency of Fortuna Furniture's inventory management and demonstrated the importance of digitalization in helping businesses run more smoothly.

This study investigates strategies for improving social rehabilitation services for people with physical disabilities through technology-based approaches and family involvement at UPT Social Rehabilitation Bina Laras Pasuruan, East Java. Employing a qualitative case study design, data were collected through in-depth interviews, focus group discussions, observation, and documentation with rehabilitation staff, persons with disabilities, family members, and technology specialists. Findings reveal that integrating digital technologies—including mobile health applications, telemedicine platforms, and assistive devices—significantly enhances service accessibility and monitoring capabilities. Structured family involvement programs, encompassing psychoeducation sessions, home-based care training, and support groups, demonstrate substantial improvements in rehabilitation outcomes. Critical success factors include adequate technological infrastructure, staff digital literacy, family commitment, and inter-agency coordination. Challenges include the digital divide, resistance to technological adoption, and sustainability concerns. The research concludes that a hybrid model combining technology-enabled services with intensive family participation offers the most promising approach and recommends policy frameworks that institutionalise these innovations while ensuring equitable access across diverse beneficiary populations

Food-based micro, small, and medium enterprises (MSMEs) play a crucial role in supporting household economic growth, including in Sialang Village, Bangkinang Subdistrict. One of the local businesses, “Keripik Cabe dan Mie Kuning Bu Inun,” produces cassava chips using traditional frying methods, which result in high oil absorption, inconsistent quality, short shelf life, and low production efficiency. Limited knowledge of food processing technology, sanitation, and food safety standards further hinders business development. This community service program aims to address these challenges through the application of low-oil frying technology, training on Good Manufacturing Practices (GMP), production assistance, and periodic evaluation. The implementation method includes field observation, technical training, technology demonstration, production mentoring, and monitoring. The results show significant improvements in product quality, indicated by lower oil content, crispier texture, brighter color, and longer shelf life. Efficiency in oil usage and process stability also increased. Moreover, the knowledge and skills of MSME actors in sanitation, food safety, and production management improved considerably. Overall, the program successfully enhanced the competitiveness of the MSME, strengthened production sustainability, and provided positive economic impacts. This initiative can serve as a replicable model for other food MSMEs facing similar challenges.

This study examines innovative strategies to strengthen institutional and technological aspects of implementing the e-market retribution system to enhance transparency and accountability in Blitar Regency, East Java, Indonesia. The research employs a qualitative case study approach, utilising in-depth interviews with key informants from the Department of Trade, market managers, traders, and stakeholders, along with secondary data from official documents. The theoretical framework integrates New Public Management, Technology Acceptance Model, and Good Governance principles. Findings reveal that e-market retribution implementation faces both opportunities and challenges in institutional strengthening and technology adoption. Innovative strategies developed include: institutional restructuring through clear role division; capacity-building programs for human resources; technological integration through QRIS digital payment systems; stakeholder engagement through participatory approaches; and monitoring and evaluation mechanisms to ensure accountability. The study concludes that successful implementation requires a comprehensive approach combining institutional strengthening, technological readiness, and stakeholder collaboration. This research contributes to the literature on digital transformation in local government revenue management and provides practical recommendations for regions implementing similar innovations

Posyandu is one of the health facilities that plays an important role in monitoring the growth and development of toddlers, especially in rural areas. The number of infant visits to posyandu in Konawe District is still very low. In 2024, 25.6% of posyandu were classified as primary, 27.1% as intermediate, 43.9% as advanced, and 3.3% as independent. Visits by toddlers to Posyandu are influenced by various factors, including parental knowledge and family support. This study aims to determine the extent to which parental knowledge and family support influence the frequency of visits by toddlers to Posyandu in Lahunggumbi Village in 2025. This study uses an observational design with a cross-sectional approach. The research sample consisted of 35 parents of toddlers who were randomly selected from Lahunggumbi Village. Data collection was conducted through interviews using a questionnaire that had been tested for validity and reliability. The data obtained were analyzed using the chi-square statistical test to examine the relationship between parental knowledge and family support on infant visits to the Posyandu. The results showed that there was a significant relationship between parental knowledge (p = 0.015) and family support (p = 0.009) and the frequency of infant visits to the Posyandu. Parental knowledge and family support have a significant influence on infant visits to the Posyandu in Lahunggumbi Village. Therefore, inter

Penelitian ini bertujuan mengembangkan sistem informasi keberadaan dosen dan karyawan di Gedung Elektro Politeknik Negeri Bengkalis menggunakan metode face recognition berbasis Haar Cascade untuk deteksi wajah dan Local Binary Pattern Histogram (LBPH) untuk klasifikasi wajah. Sistem memanfaatkan ESP32-CAM sebagai perangkat akuisisi citra dan aplikasi Python untuk antarmuka grafis (GUI) secara real-time. Pengujian dilakukan pada variasi jarak (0,5 m, 1 m, dan 2 m) serta kondisi pencahayaan (terang, sedang, gelap). Hasil menunjukkan akurasi deteksi wajah rata-rata mencapai 83%, dengan pencahayaan terang dan sedang menghasilkan akurasi 100%, sedangkan kondisi gelap turun hingga 50%. Akurasi pengenalan wajah rata-rata sebesar 60%, dengan rincian 92% pada jarak 0,5 m, 50% pada 1 m, dan 33% pada 2 m. Hasil ini menunjukkan bahwa sistem mampu memberikan informasi keberadaan cdosen dan karyawan secara real-time, meskipun kinerja masih terbatas oleh kualitas kamera 2 MP, kondisi pencahayaan, dan jumlah dataset terbatas. Penelitian ini memberikan kontribusi pada implementasi monitoring keberadaan berbasis face recognition di lingkungan kampus serta menjadi dasar pengembangan lebih lanjut dengan kamera resolusi tinggi, metode deep learning, dan integrasi sistem absensi.