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Post-harvest handling of fish requires an effective cold chain system, including the availability of ice factories, to preserve the quality and freshness of catches. The presence of an ice factory enables fishermen to bring ice during fishing trips, ensuring the catch remains safe for consumption. The planning of a portable mini ice factory in Ciwaru Village, located within the Ciletuh National Geopark, aims to maintain fish quality along the southern coast of West Java. Although several ice factories exist in Sukabumi Regency, their availability at fish landing sites such as the Ciwaru Fish Auction Place (TPI) remains insufficient. According to the Regulation of the Minister of Marine Affairs and Fisheries No. 2 of 2021, assistance for ice factory construction is provided to fishermen groups following a feasibility study submission. This community service project aims to assist fishermen cooperatives in improving cold chain management and preparing a feasibility study for ice factory development. Key issues identified include limited human resource competence, hygiene and sanitation challenges, feasibility study preparation, and internal communication enhancement within cooperatives. Solutions are implemented through training programs, cold chain method applications, feasibility analysis for mini ice factories, and the development of an information system for fishermen. The planned ice factory unit has a capacity of 1 ton per 8-hour cycle, supported by three freshwater wells near the site. Economic analysis reveals an NPV of Rp1,170,676,141, an IRR of 10.91%, and a Net B/C Ratio of 1.64, with a BEP at 311 tons/year, well below the installed capacity of 788 tons/year, confirming its economic viability. The resulting feasibility study will serve as the basis for applying for government assistance, complemented by scientific publications, national media coverage, video documentation, and intellectual property registration.

The low quality of Dasawisma administrative management remains a major challenge in supporting the effectiveness of the Family Empowerment and Welfare (PKK) programs at the community level. This problem is characterized by poorly organized family data records, weak documentation of activities, and limited understanding among administrators regarding the strategic role of administration as a basis for planning and decision-making. This Community Service Program (PKM) aims to improve the quality of Dasawisma administration through collaboration between higher education institutions and Dasawisma groups as an effort to strengthen community organizational governance. The method employed is a participatory community organizing approach, encompassing stages of joint planning, technical administrative assistance, training, and reflective evaluation. The results indicate an improvement in administrators' understanding and skills in managing administrative tasks, the establishment of more systematic data and activity recording systems, and increased participation and organizational ownership among Dasawisma members. Furthermore, the program encouraged the emergence of local leadership and collective awareness of the importance of as an instrument for institutional strengthening. Overall, collaboration with higher education institutions proved effective in promoting sustainable improvements in Dasawisma administrative governance.

Introduction: Achieving carbon neutrality in industrial systems is essential for mitigating climate change and promoting sustainability. The increasing demand for energy optimization and carbon emission reduction has driven the development of advanced technologies, particularly hybrid machine learning (ML) models. These models, combining ensemble learning and reinforcement learning (RL), offer significant promise in optimizing industrial processes, reducing energy consumption, and improving environmental performance. This study explores the application of hybrid ML models in achieving carbon neutral goals through dynamic process optimization and energy control in industrial settings. Literature Review: Hybrid ML models integrate different machine learning techniques to handle complex and dynamic environments effectively. Ensemble learning methods, such as boosting, bagging, and stacking, combine multiple algorithms to improve predictive performance and robustness. Reinforcement learning (RL), on the other hand, enables real time decision making and adaptation based on trial and error interactions with the environment. In energy optimization, these models are used to reduce energy intensity and carbon emissions, enhancing overall operational efficiency. Previous studies have demonstrated the effectiveness of ML models in energy management, but challenges such as data quality, model integration, and computational complexity remain. Materials and Method: The study applies hybrid ML models combining ensemble learning and RL to optimize energy consumption and minimize carbon emissions in industrial processes. Data from real time sensors and operational parameters are used to train the models. The ensemble learning component improves the accuracy of energy predictions, while RL ensures dynamic process adjustments in response to fluctuating energy demand. The models were tested in various industrial settings, including manufacturing processes, smart grids, and microgrid systems. Performance metrics such as energy efficiency, carbon emissions reduction, and operational costs were evaluated to assess the effectiveness of the models.  Results and Discussion: The hybrid ML models achieved significant reductions in energy intensity (15-20%) and carbon emissions (18-25%). The real time adaptability of the RL component allowed the models to adjust energy consumption patterns dynamically, improving energy efficiency and reducing waste. The models demonstrated their ability to adapt to varying operational conditions, ensuring optimal energy use. A cost-benefit analysis showed that the hybrid models provided substantial energy savings and reduced operational costs, with a return on investment (ROI) of 30-35% within the first year of deployment. However, challenges such as computational complexity and data quality issues were identified, highlighting the need for further refinement in model development.

The development of vocational education requires Vocational High Schools (SMK) to align their competencies with student interests and industry needs. However, a mismatch between student interests and the competencies offered can result in low enrollment, requiring schools to consider closing certain programs. This study proposes the application of Artificial Neural Networks (ANNs) as a predictive method to determine the potential closure of vocational competencies based on an analysis of student interest patterns. The data used includes interest history, academic grades, and other preference indicators, which are then subjected to a preprocessing stage to ensure the quality of the model’s input. The ANN is trained to accurately recognize interest patterns, thus generating objective and adaptive decision-making recommendations. The results show that the ANN implementation provides high accuracy in predicting student interest trends and provides more precise The development of vocational education in Vocational High Schools (SMK) requires the ability to align skill competencies with students' interests and industry needs. A mismatch between students' interests and the competencies offered can lead to low interest in certain programs, which in turn may result in the decision to close those programs. This study proposes the application of Artificial Neural Networks (ANN) as a predictive method to determine the potential closure of skill competencies based on the analysis of students' interest patterns. The data used includes interest history, academic grades, and other preference indicators. This data is processed through a preprocessing stage to ensure the quality of input for the model. The ANN is trained to accurately recognize students' interest patterns, allowing it to generate more objective and adaptive decision recommendations. The results of the study show that the application of ANN has high accuracy in predicting students' interest trends and provides more precise recommendations compared to traditional methods. Therefore, this system can be an effective tool for schools to plan curriculum policies more strategically and sustainably, as well as support decisions regarding skill programs that align with students' interests and industry needs.  

This study aims to analyze employee performance at the Batuceper District Office, Tangerang City, using a qualitative descriptive approach. Performance analysis refers to six indicators according to Robbins: work quantity, work quality, timeliness, effectiveness, independence, and work commitment. Data were collected through in-depth interviews with sub-district officials and the community as service recipients, direct observation of work processes, and documentation of ongoing service activities. The results indicate that employee performance is generally in the fairly good category, particularly in terms of work quantity and timeliness. Employees are able to complete their workload according to targets and most services are provided on time. However, in terms of effectiveness, obstacles were found in optimal resource utilization. Some employees still show a dependence on superiors' directions in decision-making, so work independence has not been fully realized. Work quality is considered quite adequate, although there are still complaints from some members of the public regarding the consistency and detail of services. Employee work commitment is generally maintained, reflected in high attendance rates and a willingness to work outside operating hours when needed. However, improvements in the provision of supporting facilities, including the use of information technology, are considered important to support more effective performance. This study recommends ongoing training focused on improving technical skills, problem-solving abilities, and independent decision-making. Furthermore, improvements to service infrastructure, such as modern work equipment and digital administration systems, are needed to expedite public service delivery. Implementing these recommendations is expected to create more professional, responsive staff performance that aligns with the principles of excellent service, while simultaneously increasing public trust in government performance at the sub-district level.

This study aims to determine the influence of Work Motivation, Work Environment, and Job Satisfaction on Employee Productivity at PT. Nihon Seiki Indonesia. This research is motivated by the phenomenon of declining employee productivity as shown by the non-achievement of work targets in recent months. This problem indicates the possibility of a decline in internal quality that needs to be evaluated, such as low motivation, less supportive work environment conditions, and less than optimal job satisfaction. This decline can also have an impact on the company's overall performance, including in terms of efficiency, production quality, and customer satisfaction that are declining over time. The method used in this study is a quantitative method with a descriptive and verifiable approach. The data collection technique was carried out through the distribution of questionnaires to 90 employees as a sample of the total population of 115 employees working in the company. The research instrument was tested through validity and reliability tests. Data were analyzed using multiple linear regression analysis, t-test (partial), F test (simultaneous), and determination coefficient (R²) test, with the help of SPSS software version 26. The results of the study show that Work Motivation, Work Environment, and Job Satisfaction have a significant effect on Employee Productivity, both partially and simultaneously. These findings confirm that the increase in employee work productivity is not only dependent on external factors such as technology and management systems, but is also highly determined by internal factors that are directly related to individual comfort and satisfaction at work. Therefore, company management needs to focus more on efforts to create a conducive work environment, build strong motivation, and increase employee job satisfaction as a strategy to optimize productivity. In addition, continuous training and effective communication between teams also need to be improved to maintain morale, collaboration, and the achievement of overall organizational targets.

Islamic education has a very important role in shaping the character and morals of individuals, as well as in developing quality human resources. Evaluation of Islamic educational institutions is one of the most crucial aspects in efforts to improve the quality of Islamic educational institutions as a whole. This article discusses the importance of institutional evaluation in Islamic education to measure the extent to which institutions can fulfill the vision, mission, and goals of Islamic education. Evaluation does not only cover academic aspects, but also character, morals, management, curriculum, human resources, facilities, and relations with the community. In addition, this article also identifies the basic principles in evaluating Islamic educational institutions, namely objectivity, transparency, and justice. This study uses a library research method by collecting and analyzing related literature, such as books, scientific journals, and academic articles. The results of the study indicate that evaluation of Islamic educational institutions functions as a tool for continuous improvement, supports accountability, and adapts the curriculum and learning methods to the needs of the times. In addition, the role of leaders in the evaluation process is vital to ensure the successful implementation of the evaluation. It is hoped that this article can contribute to the development of an effective and efficient institutional evaluation system in Islamic education.    

Madrasas and Islamic boarding schools are Islamic educational institutions that have a strategic role in shaping the character, morals, and competencies of students. In addition to carrying out the formal learning process, these two institutions are also centers for moral, spiritual, and social development. In their operations, madrasas and pesantren manage various administrative activities, such as student data collection, attendance recording, grade processing, teacher data management, lesson schedule preparation, and delivery of academic information to related parties. However, many institutions still use manual systems that rely on notebooks or separate applications that are not integrated. This condition poses a number of obstacles, including the high risk of recording errors, duplicate data that is difficult to track, the slow process of recapitulation of grades and attendance, and delays in the delivery of academic information. In addition, manual processes cause administrative management to be less efficient and prone to data loss. As the need for fast, accurate, and accurate information increases, technological solutions are needed that are able to integrate all administrative and academic processes in one centralized system. Web-based information systems are an effective alternative to improve work efficiency, minimize errors, and facilitate access to information for teachers, students, and guardians. With the implementation of a well-managed system, madrasas and Islamic boarding schools are expected to improve the quality of services and support a more modern, structured, and sustainable learning process.

Vergence movement is an important mechanism in eye coordination to maintain visual focus. The neural pathways controlling vergence involve complex interactions between various brain structures, such as the mesencephalic nucleus of the oculomotor nerve (CN III), the abducens nucleus (CN VI), the reticular pontine formation (PRF), and the visual and motor cortices. Disorders in this system can lead to convergence insufficiency, esotropia, exotropia, as well as diplopia which impacts the quality of binocular vision. This study aims to conduct a systematic review of the neural pathways that play a role in the vergence system. This research design is a study that uses the Systematic Literature Review (SLR) method. 5 articles were obtained using a method of secondary analysis of literature review through scientific database portals such as SINTA, Scopus and Google Scholar published in 2015-2025 both national and international articles. The results of the analysis show that vergence disorders are common in children and the elderly, with various causes ranging from benign factors to more serious neurological conditions. Studies show that activities in the parietal eye field (PEF), frontal eye field (FEF), superior colliculus (SC), and PRF have important roles in vergence coordination. In addition, vergence deficits were also found in Parkinson's patients, who showed prolonged latency and reduced vergence gain. In the context of technology, research on virtual reality (VR) shows that vergence errors often occur when users interact with virtual environments, leading to visual fatigue and incorrect depth perception. This study also highlights that neurotransmitters such as GABA, glutamate, and dopamine have a role in the modulation of neural signals that control vergence. A deeper understanding of the neural pathways of vergence is crucial in ophthalmology and neurology, especially in the diagnosis and therapy of binocular vision disorders. In addition, research on vergence also contributes to the development of visual technologies, such as VR and eye tracking systems, that are more adaptive to human physiological characteristics.

The major work of the Cijurey Dam Project Package III is located in Bogor Regency, West Java Province, which is a spillway structure consisting of iron structures and concrete structures. To achieve the right quality, on time, on cost, and zero accidents, concrete casting calculations and appropriate work implementation methods are required. This research method uses descriptive with quantitative and qualitative approaches. The stages of concrete casting work for the Cijurey Dam spillway structure's launch channel consist of preparation, measuring the launch channel block boundaries, lean concrete work, reinforcement work, formwork panel preparation, formwork panel installation, waterstop and dowel bar work, concrete sampling and slump test, concrete casting, concrete curing/maintenance, formwork dismantling, and finishing of tierod holes. The results of the study showed that the calculations for casting the concrete channel were a large volume of concrete channel casting of 135,000 m3, concrete material requirements (in the form of: 1,115,100 sacks of cement, 58,050 m3 of sand, 1,020,600 m3 of gravel, and 29,025,000 liters of water), channel formwork (surface area) of 27,675 m2, productivity of casting the concrete channel launcher of 24 m3/hour or 193 m3/day, and the efficiency of casting the concrete channel launcher time of around 125% (25% faster than planned). Meanwhile, the stages of work implementation for channel concrete casting include preparation work, measurement work for the boundaries of the launcher channel blocks, lean concrete work, reinforcement work, formwork panel preparation work, formwork lubrication work, formwork panel installation work, waterstop and dowel bar work, concrete sampling and slump test work, channel concrete casting work, concrete curing/maintenance work, formwork dismantling work, and finishing work for tierod holes. In addition, an inter-segment locking system with a shear key is used to overcome problems with the concrete pump, joint inspections are carried out during mobilization, routine inspections, repairs and replacement of the concrete pump.

Deforestation in Indonesia's hilly regions has a significant impact on increasing the rate of erosion and sedimentation. This study aims to systematically examine the effects of deforestation on erosion and sedimentation processes and evaluate conservation approaches used to mitigate these impacts. The method employed is a literature review of various relevant national and international studies, focusing on tropical upland areas in Indonesia. The analysis reveals that the conversion of forests into agricultural land, plantations, and settlements results in the loss of vegetative cover, which plays a critical role in stabilizing soil particles and regulating surface runoff. The resulting impacts include increased erosion rates, soil structure degradation, and elevated sedimentation in water bodies, which deteriorate water quality, reduce reservoir capacity, and harm aquatic ecosystems such as coral reefs and mangrove forests. Effective conservation approaches include vegetative techniques such as reforestation and agroforestry, as well as mechanical techniques such as terracing and check dams. The main recommendation from this review is the need for integrated conservation policies, community participation, and the mapping of vulnerable areas to achieve sustainable and adaptive land management in Indonesia’s hilly regions.

This study aims to analyze the influence of accountability, transparency, rule of law, effectiveness, and efficiency on local government performance with supervision as a moderating variable in the Langkat Regency Government. This study uses an associative research method with a quantitative approach based on numbers. The study population consisted of 40 Regional Work Units (SKPD) with 120 respondents determined through purposive sampling techniques, with the criteria of heads of departments/agencies, secretaries, and treasurers who have served for at least the last five years. Primary data were obtained through distributing questionnaires using a Likert scale, and data analysis was carried out with the help of SmartPLS 4.0 software. The results of the study indicate that the variables of accountability, transparency, rule of law, and effectiveness and efficiency have a positive and significant effect on local government performance. However, the results of the moderation test indicate that supervision only plays a significant role as a moderating variable in strengthening the relationship between the rule of law and local government performance. Meanwhile, supervision does not significantly moderate the relationship between accountability, transparency, and effectiveness and efficiency on local government performance. These findings are expected to be a consideration for local governments in improving the quality of governance, especially through strengthening the rule of law supported by an effective monitoring system.

This study aims to analyze the effect of training and compensation on employee performance at the Women's Empowerment, Child Protection, and Family Planning Office of Waropen Regency, and to identify variables that have a dominant influence. The focus of the study is directed at efforts to improve employee performance through measurable and targeted human resource development strategies. This study uses a quantitative descriptive method with data collection techniques through field observation, questionnaire distribution, and document review. The study population includes all 39 employees of the office, with a census sampling technique so that all members of the population are respondents. The research instrument was tested for validity and reliability, while data analysis was carried out using multiple linear regression tests and t-tests using the SPSS version 23 program for Windows. The test results show that training has a significant effect on employee performance, with a significance value of 0.011 and a calculated t of 2.678 > t table 2.02269. Furthermore, compensation also has a significant effect on employee performance, with a significance value of 0.009 and a calculated t of 2.755 > t table 2.02269. Beta coefficient analysis shows that compensation has the most dominant influence on employee performance, with a Standardized Coefficient Beta value of 0.440. This finding indicates that improving training quality and providing adequate compensation can contribute significantly to employee performance in local government agencies. Planned, task-relevant training accompanied by fair compensation will motivate employees to perform optimally. Based on the research results, it is recommended that management strengthen competency-based training programs and review the compensation system to better align with employee contributions. This is expected to serve as a policy basis for efforts to improve performance and achieve organizational goals sustainably.

Pulmonary tuberculosis (pulmonary TB) is an infectious disease that attacks the respiratory system, especially the lungs, and can cause various clinical symptoms, one of which is decreased oxygen saturation (SpO₂). Decreased oxygen saturation can worsen the patient's condition and affect their quality of life. Therefore, effective interventions are needed to increase oxygen levels in the body, especially through safe and easy-to-implement non-pharmacological approaches. One intervention commonly used in nursing practice is the semi-Fowler position, which is a lying position with the head of the bed elevated around 30–45 degrees, which is believed to improve lung expansion and increase ventilation. This study aims to evaluate the effectiveness of implementing the semi-Fowler position on increasing oxygen saturation in pulmonary TB patients. The study was conducted using a descriptive method through a case study approach on three pulmonary TB patients treated in the Mawar Room of Subang District Hospital. Data were collected through direct observation of oxygen saturation using a pulse oximeter at minute 0 (before intervention), minute 10, minute 30, and more than minute 60 after the patient was placed in the semi-Fowler position. The results showed a significant increase in the SpO₂ values of the three patients after 30 minutes in the semi-Fowler position, with an average increase from 92–93% to 95–96%, and these values tended to be stable for more than 60 minutes after the intervention. These findings suggest that the semi-Fowler position can be an effective non-pharmacological nursing intervention option to increase oxygen saturation in pulmonary TB patients. The application of this position is recommended in daily nursing practice to help overcome respiratory disorders, increase comfort, and accelerate the recovery process of pulmonary TB patients.

Suboptimal waste management in Kalijoso Village, Secang District, Magelang Regency, is a critical issue that impacts environmental sustainability and public health. The inefficiency of conventional waste disposal methods has led to increased waste accumulation, soil and water pollution, and the spread of diseases, which has significant consequences for local communities. To address these challenges, the local government and community organizations have embraced the principles of the 3R (Reduce, Reuse, Recycle) through a transformation of traditional waste disposal sites (TPS) into 3R TPS. The new approach focuses on sustainable waste management practices that reduce the amount of waste sent to landfills. One of the key strategies implemented is educational outreach to raise awareness about the importance of waste segregation and recycling. Additionally, training programs have been conducted to teach the community how to process organic waste, particularly through the cultivation of maggots using Black Soldier Fly (BSF) larvae. This method not only helps reduce the volume of organic waste but also provides a practical solution for transforming waste into valuable resources. The maggots cultivated during the demonstration are used as animal feed, which creates a sustainable circular economy within the community. Furthermore, composting organic waste results in high-quality compost that supports local agricultural activities. This has added economic value by reducing the need for chemical fertilizers, while simultaneously improving soil health. The role of the Salakan Hamlet Youth Organization has been instrumental in this initiative. They have successfully managed a waste bank, providing an organized and systematic approach to waste collection and recycling. This initiative has fostered a sense of community responsibility and has not only improved waste management practices but also contributed to the overall economic development of the village.

Modernization of education in Islamic boarding schools is an important need to maintain the relevance of learning in the digital era. Salafiyah Islamic boarding schools, which are synonymous with the traditional approach through the study of the Yellow Book, face the challenge of adapting technological developments without losing their scientific character. This research aims to develop a model of curriculum modernization through the integration of deep learning-based digital technology  to improve the effectiveness of learning and the quality of academic evaluation. The methods used include literature studies, observation of the learning process, and trial implementation of digital learning tools equipped with deep learning algorithms  for student ability analysis. The results of the study show that the application of deep learning technology  is able to speed up the competency mapping process, provide automatic feedback on reading and comprehension of classical texts, and assist teachers in monitoring the development of students more accurately. This integration also increases interest in learning and strengthens the mula curriculum system without shifting the traditional values of the Islamic boarding school. Thus, technology-based modernization can be a strategic solution to bridge the classical approach and the needs of 21st century learning in Salafi Islamic boarding schools.

Digital Smart Branch as a form of banking digitalization is presented as the latest service strategy that makes it easier for people to enjoy banking services faster, easier and safer. The purpose of this study is to determine the implementation of Smart Branch digital services at Bank Mandiri Wahid Hasyim Malang in an effort to increase customer satisfaction. This study is a qualitative study with a method of collecting information through interviews with sources, books, literature reviews, literature, previous research, websites or articles that are relevant to the problem being studied. The results of the study indicate that with the Smart Branch service system, a strategy that can be applied to provide more efficient customer service is to utilize technology to personalize customer service, such as customized product recommendations or providing faster and easier problem solving.

Improving the quality of education is a strategic challenge for every educational unit, including private elementary madrasahs that carry the Integrated Islamic approach. MIS IT Nurul Ikhwan Cahaya Ananda Palembang as a basic educational institution based on Islamic values ​​and technology, faces various dynamics in managing quality management, ranging from limited resources to the complexity of implementing an internal quality assurance system. This study aims to describe in depth the management strategies applied in improving the quality of education, as well as identifying the challenges and solutions faced by madrasahs in the implementation process. The research method used is descriptive qualitative with data collection techniques in the form of observation, documentation, and in-depth interviews with key informants. The results of the study indicate that madrasahs have implemented quality management through strategic planning, strengthening teacher capacity, integrating technology in learning, and community involvement. Despite challenges such as budget limitations and imbalances in HR competencies, madrasahs are able to present solutions based on collaboration and innovation that are oriented towards the sustainability of education quality.

The Self-Help Housing Stimulant Assistance Program (BSPS) emerged as a response to the housing and settlement problems faced by the Indonesian people, especially related to the low quality of life due to slums (Sitompul, 2022). This program aims to provide livable houses for low-income people (MBR) through stimulant government assistance (Seri Mughni Sulubara, 2024). The research method used is a qualitative descriptive research method. This method aims to make descriptions of data systematically, factually, and accurately about existing facts. Descriptive research that is carried out continuously on the object of research is called a continuous descriptive method. The results of activities or findings from the implementation of the Self-Help Housing Stimulant Assistance Program (BSPS) in reducing the quantity and quality of Uninhabitable Homes (RTLH) show that this program has a positive impact on the beneficiary community. The BSPS program succeeded in improving the quality of the beneficiaries' houses. Houses that were built or renovated have a solid structure, adequate area, and a livable level of safety (Seri Mughni Sulubara, Amrizal Amrizal, et al., 2024). By making home improvements, BSPS contributes to reducing the number of uninhabitable houses and creating a more decent environment (B & Sadriah, 2020).  

Using a descriptive method with a triangulation approach including observation, document analysis, and interviews this study ensures data reliability. Daily monitoring is conducted on wastewater flow and pH levels, while monthly laboratory analysis covers eight key parameters: Total Suspended Solids (TSS), iron (Fe), copper (Cu), zinc (Zn), total chromium (Cr), phosphate (PO³), oil and grease, and pH to evaluate the perfomance of the treatment system. The treatment process begins with the inflow of 960 m³ of wastewater per day into the storage pond, where aeration is applied to ensure homogenization before being transferred to the neutralization unit. pH adjustment is carried out by adding NaOH or HCl before the wastewater undergoes coagulation and flocculation stages. The study’s findings indicate that the WWTP meets the environmental quality standards established in accordance with the Decree of the Head of the Investment Coordinating Board of the Republic of Indonesia (2020), Number SK.214/1/KLHK/2020 concerning the Permit for Wastewater Disposal into the Sea on Behalf of PT Pembangkit Jawa Bali Unit Pembangkitan Gresik. This study emphasizes the importance of systematic monitoring and treatment in wastewater management.