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This study aims to determine the implementation of financial management and infrastructure management on the quality of the learning process at Robbani Integrated Islamic Elementary School, Singosari, Malang. The background of this study is based on the importance of effective and efficient management of school resources to improve the quality of basic education as a foundation for student development. School financial management includes planning, management, supervision, and accountability of education funds, while infrastructure management focuses on the procurement, utilization, and maintenance of school facilities to support the learning process. The research method used is descriptive quantitative with a population of all teachers and education personnel at Robbani Islamic Elementary School, using data collection techniques in the form of questionnaires, documentation, and supporting interviews. Data were analyzed using descriptive statistics and hypothesis testing to examine the influence between variables. The results of the study indicate that financial management at Robbani Islamic Elementary School has been implemented based on the principles of transparency, accountability, and efficiency, reflected in the management of School Operational Assistance (BOS) funds and parent fees allocated for school operations, teacher competency improvement, and facility maintenance. In addition, school facilities and infrastructure such as classrooms, laboratories, libraries, and worship and sports facilities are already available although they still need development to better support technology-based learning. Statistical analysis revealed a significant influence of financial management and infrastructure on the quality of the learning process, as reflected in student exam results, academic and non-academic achievements, and parental satisfaction. This study recommends strengthening financial management through more careful planning and improving the quality of facilities and infrastructure to support active, innovative, creative, effective, and enjoyable learning (PAIKEM). The results of this study are expected to provide input for schools, foundations, and future researchers in developing educational policies.

Profitability is one of the most important indicators for assessing a company's financial performance, as reflects the extent to which management efficiently manages resources to generate profits for the company. The purpose of this study was to determine the effect of working capital turnover, cash turnover, accounts receivable turnover, and inventory turnover on the profitability of mining companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. The sample was selected using a purposive sampling technique with a non-probabilistic sampling approach based on specific criteria. As a result, 36 companies qualified for this study. Data were processed using multiple linear regression analysis with SPSS version 25. The results of this study indicate that working capital turnover has a positive effect on profitability, while cash turnover has no significant effect. Meanwhile, receivable turnover has a positive effect on profitability, and inventory turnover has a negative effect on profitability. These results indicate that effective current asset management in company can increase profits, while the low contribution of cash turnover indicates that liquidity don”t always correlate with profitability, the negative impact of inventory turnover indicates the potential for decreased profits if inventory management is suboptimal.. This study confirms that working capital management has diverse impact on profitability. Working capital and accounts receivable turnover are driving factors for improved financial performance, while cash turnover does not directly impact profits, inventory turnover can negatively impact profitability if not managed effectively.

This study discusses the optimization of the allocation of productive waqf funds using MATLAB through a case study on the Waqf Board of the Islamic University of Indonesia (UII) Yogyakarta. Productive waqf has an important role in supporting socio-economic empowerment, but its management often faces challenges in determining the efficient distribution of funds. The purpose of this research is to develop a mathematical model to optimize the allocation of waqf funds in various sectors such as education, health, micro enterprises, and social programs. The research method uses a quantitative approach with optimization techniques implemented in MATLAB to simulate various fund distribution scenarios. The results of the study show that the optimization model is able to provide a more effective distribution of waqf funds compared to the actual allocation pattern, thereby increasing efficiency and impact on community welfare. Thus, the use of MATLAB has been proven to help waqf institutions in formulating accurate data-based decisions and mathematical models. In addition, this study emphasizes that the application of modern computing technology can strengthen the role of waqf as an instrument of sustainable social development. The implications of this study show that the integration of mathematical modeling with modern computing tools can be an important strategy for Islamic philanthropic institutions in maximizing the potential of productive waqf, especially in Yogyakarta. This research also contributes to the development of Islamic economic literature, offers practical recommendations for waqf managers, and shows the application of MATLAB as a tool in economic decision-making. With this approach, productive waqf is expected to provide wider and sustainable benefits for the community, as well as be an inspiration for other waqf institutions in Indonesia to adopt a similar strategy.

This study is motivated by the importance of employee performance as a key factor in achieving organizational goals. Optimal performance is significantly influenced by various factors, one of which is workload and the working environment. An unbalanced workload can hinder productivity, while a non-conducive working environment can reduce comfort and work enthusiasm. Therefore, this study aims to analyze the impact of workload and the working environment on employee performance at PT Kampung Bali Indah Jakarta Pusat, both partially and simultaneously. This study uses a quantitative approach with a saturated sample of 52 respondents. Data collection was conducted using questionnaires, and the data were analyzed using SPSS version 25. The analysis included validity and reliability tests, classical assumption tests, multiple linear regression, t-tests, F-tests, and the coefficient of determination. The results show that workload has no significant partial effect on employee performance. This indicates that, although excessive workload can affect performance, other factors play a more dominant role in influencing employee performance. In contrast, the working environment has a positive and significant impact on employee performance. A conducive work environment provides comfort for employees to work more effectively and efficiently. Simultaneously, both workload and the working environment significantly affect employee performance, contributing 73.5%. This means that more than 70% of employee performance is influenced by these two factors, while the remaining performance is influenced by other factors not covered in this study. These findings suggest that to improve employee performance, the company should enhance the working environment to better support employee comfort and productivity. On the other hand, workload management should also be adjusted to remain optimal without adding excessive pressure on employees.

Physics learning in high schools is often facing challenges due to lack of laboratory facilities, especially for abstract topics such as electron deflection. Limited equipment often results in a theoretical learning process without real-world practical experience. This community service activity aims to address this gap by assisting with electron deflection experiments at a high school in Surabaya. The methods applied included preparation and coordination, provision of equipment, inquiry-based learning design, classroom experiment implementation, and activity evaluation. During the program, the team brought the electron deflection experiment equipment to the school. Students were divided into small groups, and each group took turns interacting closely with the equipment brought by the team. Students were encouraged to propose hypotheses, observe carefully, and engage in discussions. A total of 58 students participated in this activity and had the opportunity to directly observe electron path in a cathode ray tube. The evaluation showed an excellent response from students with an average score of 3.48 (scale 1–4), where they felt this activity helped them learn theory with practice and increased their enthusiasm for learning. This program demonstrates that collaboration between universities and schools can be an efficient solution to overcome the lack of laboratory facilities and improve the quality of more meaningful physics learning.

This research develops an automated temperature control system for water heaters, that is both efficient and stable, driven by the need for energy-saving heating solutions, particularly for marine applications. The main objective was to create an automatic system capable of maintaining water temperature within an optimal range while maximizing energy efficiency through the use of thermal storage materials. The methodology involved an on-off control system based on a microcontroller as the main controller, capable of processing temperature sensor data in real time. This system intelligently activates and deactivates the heater to keep the water temperature stable. Paraffin wax was used as a latent heat storage medium, playing a crucial role in gradually storing and releasing thermal energy to support temperature stability. An automatic water heater system based on the ESP32 microcontroller with an on-off control mechanism was successfully designed using paraffin wax combined with silica sand as a thermal storage medium. The addition of silica sand significantly enhanced heat conductivity and temperature stability. Test results showed a substantial reduction in energy consumption, with daily savings reaching Rp12,762.88, equivalent to 67% of total daily energy costs. Over a one-year period, the total savings amounted to Rp4,658,103.20, demonstrating that the paraffin wax–silica sand combination is highly effective in improving energy efficiency and reducing long-term operational costs.

This study analyzes the potential use of solar cells as a renewable energy source on the MV SARI INDAH. With the increasing demand for energy and the negative environmental impacts of fossil fuels, solar cells provide a promising eco-friendly alternative. The research focuses on developing a prototype system to charge batteries using solar power, converting DC power into AC for ship operations. The methodology includes measuring sunlight intensity, current, and output voltage, while also calculating the battery capacity and the ship’s electrical load. Tests were conducted at various tilt angles, with data recorded hourly over two days to assess performance. The results show that a 75° tilt angle yields the highest voltage, current, and power output when compared to other angles. Based on these findings, the study recommends installing solar panels at a 75° angle on the compass deck. The system design utilizes two panels positioned opposite each other, forming a 150° angle to optimize energy capture. This setup is capable of supplying power to key areas on the ship, such as seven lamps in the E/R 2nd Deck, Control Room, Emergency Generator Room, and CO₂ Room. The system is designed to meet the total daily energy demand of approximately 1,400 Wh, which can be efficiently fulfilled by eight solar cells rated at 50 Wp each, providing a sustainable and efficient energy solution for the vessel.

Concrete roof tiles are an important material in building construction, particularly for roofing work, due to their advantages in terms of strength, durability, and material availability. This study aims to analyze two main physical characteristics of concrete roof tiles, namely bending load and water absorption, using a literature review approach from various previous studies. Bending load refers to the material's ability to withstand bending forces, while water absorption describes the material's capacity to absorb and store water through its pores. These two properties significantly influence the quality and durability of roof tiles in facing external environmental conditions, especially wet-dry cycles and mechanical loads. The results of the literature review indicate that the use of waste as an aggregate substitute in concrete mixes can significantly improve the performance of concrete roof tiles. For example, research using broken roof tiles and ceramic waste as aggregate substitutes successfully increased flexural strength to a range of 12.5–15.0 MPa. Meanwhile, variations in water absorption were recorded in the range of 4%–8%, depending on the material composition and production method. This proves that the use of recycled materials not only supports sustainability but also improves the mechanical and physical properties of concrete roof tiles. Overall, this study underscores the importance of material innovation in concrete roof tile production, particularly utilizing waste as an alternative aggregate. However, further research is needed to explore the best combination of materials and production techniques for producing high-quality, efficient, and environmentally friendly concrete roof tiles.

This study aims to examine the effectiveness of attractants on the activity of the pollinating beetle Elaeidobius kamerunicus and its impact on the efficiency of pollination and palm oil (Elaeis guineensis) production at PT Menthobi Makmur Lestari, Lamandau Regency, Central Kalimantan. The study was conducted from May to July 2025 using a factorial randomized block design with two factors: topography (flat 0–8% and hilly 15–25%) and attractant doses (0, 1, 2, and 3 ml/ha) with three replications.The parameters observed included the frequency of E. kamerunicus visits to female flowers and the percentage of fruit set. The results showed that the topography factor, attractant dose, and their interaction significantly affected the number of E. kamerunicus visits and fruit set (p < 0.01). The combination of flat land with high attractant doses resulted in the highest visits (69.04 beetles/spike) and maximum fruit set (75.11%), while the hilly land without attractants showed the lowest results (34.60 beetles/spike; 61.22%). The application of attractants increased fruit set by more than 20% compared to the control, leading to an increase in bunch weight (BJR) of approximately 5.67 kg/bunch, additional production of about 1,151 kg FFB/ha per 1.5 months, and a potential income of Rp 3,683,200/ha, far exceeding the application cost of Rp 211,638/ha. These results indicate that the use of attractants is an effective and efficient agronomic strategy to improve palm oil productivity. Thus, attractants have proven to significantly enhance pollination efficiency and palm oil production, providing substantial economic benefits to farmers and supporting the sustainability of palm oil plantations. This approach offers an applicable and sustainable solution for agricultural practices, which can be applied to various locations with similar topographical conditions.  

In the current era, the land transportation sector in Indonesia is still in the development stage, both for private and public use. The needs of modern society, which demands that everything be more practical and efficient, has led to an increase in demand for motor vehicles, especially car rental services, every day. This study uses a quantitative method with a focus on analyzing data obtained from questionnaires. The independent variables in this study consist of price (X1), promotion (X2), and service quality (X3), while the dependent variable is customer decision (Y). The research data was collected from 100 respondents who used SJ Trans Rent Car services in Sidoarjo and analyzed statistically using SPSS version 25. The analysis results show a regression model of Y = 1.791 + 0.148X1 + 0.220X2 + 0.227X3 + e. If the values of X1, X2, and X3 are zero, then the Y variable remains at 1.791. However, a one-unit increase in price perception contributes positively to customer decisions, as do effective promotions and good service quality, which have a significant impact on increasing customer decisions. The three variables were found to have a positive relationship with Y, both partially and simultaneously. These findings confirm that the right pricing strategy, effective promotion, and high-quality service are important factors that service providers must consider in order to increase competitiveness and build customer loyalty in the car rental industry.

This study aims to determine the relationship between firm size, profitability, and debt policy on company value at PT. KMI Wire and Cable, Tbk. for the 2017–2024 period. Company value is the main focus because it reflects the company’s overall performance and can attract investor interest and perception. Firm size is measured by the natural logarithm of total assets (LN), profitability is measured by return on equity (ROE), debt policy is measured by debt-to-equity ratio (DER), and company value is measured by price-to-book value (PBV). This research employs a quantitative method using multiple linear regression analysis to examine the causal relationship between variables. The data used are secondary data in the form of quarterly financial reports of PT. KMI Wire and Cable, Tbk. during the study period. The results of the study indicate that firm size has a negative and significant effect on company value, while profitability and debt policy show a positive and significant effect. Simultaneously, firm size, profitability, and debt policy jointly have a positive and significant effect on company value. These findings highlight the importance of balancing company growth with efficient asset management and optimal capital structure to ensure long-term financial stability. Moreover, the study contributes to empirical evidence supporting Trade-Off Theory and Pecking Order Theory, showing how capital structure decisions and profitability management can shape investor perception and firm valuation. This study provides practical insights for management in designing strategies to optimize capital structure, strengthen profitability, and manage debt responsibly to enhance firm value and investor confidence.

This community service program in Gunung Kijang Village, Bintan Regency, Riau Islands Province, was designed to strengthen local empowerment through the synergy of education, economy, agriculture, and social participation. The activities consisted of four initiatives: workshops on Canva-based learning media for teachers, digital marketing training and social media account creation for MSMEs, participatory mapping of challenges and potentials of local food businesses, and smart farming education using soil moisture sensors to introduce efficient irrigation technology. The results showed significant achievements across sectors. In education, teachers improved their technological skills and created interactive media that enhanced student motivation. In the economic sector, MSMEs adopted digital promotion strategies, leading to wider market reach and sales. The participatory mapping revealed obstacles such as licensing, packaging, and financial literacy, while also identifying opportunities for product diversification using local resources. In agriculture, farmers were introduced to water-saving irrigation technology that improved efficiency and supported environmentally friendly practices. On the social side, community institutions such as PKK, Karang Taruna, and farmer groups played an important role in strengthening solidarity and expanding collaboration. Overall, the program proved that integrating digital literacy, technological innovation, and community participation can accelerate rural independence while fostering sustainable welfare for island communities.  

This study examines the importance of an efficient digital marketing strategy, particularly through Instagram, to increase public understanding of sports and recreation facility brands like Pondok Cabe Golf, especially amidst increasingly fierce competition in the digital world. The purpose of this study is to evaluate the digital marketing strategy implemented by Pondok Cabe Golf on Instagram to increase brand recognition among the wider public. A descriptive qualitative approach was used, with data collected through in-depth interviews with internal marketing and public relations teams, as well as external followers. Additionally, focus group discussions, observations, and non-participant documentation collection were conducted to supplement the analysis. The results reveal that Pondok Cabe Golf has successfully implemented a digital marketing strategy that aligns with the Marketing 4.0 concept and the 5A customer journey (Aware, Appeal, Ask, Act, Advocate). This strategy involves the use of consistent visual content, engaging user interactions, and focused promotions, which have significantly increased brand awareness and built positive relationships with the audience. The findings highlight the effectiveness of Instagram as a platform for building brand recognition and community engagement. This research offers valuable insights and practical recommendations for improving digital marketing efforts in the recreation sector, particularly for businesses looking to enhance their presence in the competitive digital landscape.

Purchasing plays a role in ensuring the availability of food ingredients with good quality and efficient costs, managing risks, supporting product innovation, and increasing efficiency in the food procurement process, with such an important role the hotel industry continues to strive to improve purchasing capabilities and competencies in order to be better in the food procurement process. Purchasing together with its duties and sections must understand and know and organize food procurement activities with clearly coordinated concepts and planning patterns and satisfactory and responsive services in any situation faced by both fellow employees and hotel guests. This type of research is descriptive qualitative with a Phenomenological approach. In this study, an interview method was used with 4 informants who were purchasing officers and receiving at Padma Resort Legian. This study aims to determine the role of purchasing in supporting the need for food procurement for kitchen operations at Padma Resort Legian. From the interview results, it can be concluded that the procurement of food ingredients for kitchen operations at Padma Resort Legian, which includes processing purchase requests, selecting suppliers, giving instructions to suppliers and receiving food ingredients, has been carried out correctly and in accordance with the Standard Operating Procedures (SOP) at Padma Resort Legian. Supplier selection has also been carried out in accordance with the Standard Operating Procedures (SOP) at Padma Resort Legian, but purchasing must be more careful in selecting and determining suppliers to avoid inconsistent delivery of food ingredients in terms of time, quantity, and quality of the food ingredients.

This community service activity was carried out in Sladi Village with the goal of improving the digital literacy of village officials through the utilization of Artificial Intelligence (AI) plugins in Microsoft Word and Excel. The main issue faced by the village officials was their limited ability to use digital technology, which resulted in administrative tasks being carried out manually and inefficiently. Therefore, this digital literacy training aimed to enhance the skills of village officials in utilizing digital tools, especially AI, to support their administrative work. The method used in this activity was Participatory Action Research (PAR), which involved the stages of diagnosing, action planning, action taking, evaluating, and specifying learning. Evaluation of the activity was conducted using Likert scale questionnaires and open-ended questions to collect feedback from participants regarding their understanding and responses to the training provided. Data analysis was carried out using SPSS to calculate the mean, standard deviation, and qualitative findings from the open-ended questions. The evaluation results showed that the benefits of the activity (mean = 4.2) and the intention to implement AI (mean = 4.2) received the highest scores, indicating that the participants found the training highly beneficial and were motivated to apply AI in their daily tasks. On the other hand, the understanding of AI in Excel (mean = 3.7) and the assessment of the material (mean = 3.7) showed that further in-depth learning was needed to improve participants' comprehension and skills. Overall, the activity successfully improved the skills of village officials and raised collective awareness to transition towards a more efficient and adaptive digital village administration. This training is expected to positively contribute to the digital transformation in the village.

The development of digital technology has brought significant changes to the banking industry, particularly through the implementation of internet banking and mobile banking services that aim to support financial inclusion. In addition, corporate concern for social aspects through corporate social responsibility (CSR) spending has also become an essential factor in ensuring business sustainability and increasing public trust. This study aims to analyze the effect of internet banking, mobile banking, and CSR expenses on the financial performance of banking institutions. The research population consisted of banking companies listed on the Indonesia Stock Exchange (IDX) during the 2018–2022 period, with a total sample of 55 companies that met the data completeness criteria. The analysis method employed was multiple linear regression to determine the relationship and influence of the independent variables on financial performance as the dependent variable. The results show that internet banking has a significant positive effect on financial performance, indicating that the more optimal the use of internet banking services, the better the financial performance of banks. Similarly, CSR expenses also have a positive effect on financial performance, suggesting that effective and efficient allocation of CSR funds provides benefits not only for society but also for the long-term sustainability of the banks. On the other hand, mobile banking does not have a significant effect on financial performance, implying the need for improving service quality, enhancing technological features, and strengthening digital literacy so that mobile banking can contribute more effectively to banking performance. Therefore, the findings highlight the importance of digital innovation and integrated socio-economic strategies to strengthen the sustainability and competitiveness of the banking sector in Indonesia.

The need for environmentally friendly marine transportation continues to increase, especially in tourist areas such as Penyengat Island, Tanjungpinang, Riau Islands. In the local context, the design of electric boats has not been widely developed for small islands in Indonesia, even though the potential and urgency for its application is very high. Geographical constraints, limited charging infrastructure, and a lack of technical data are the main obstacles. This research focuses on the design and construction of an electric-powered tourist boat prototype with an asymmetrical catamaran hull type as an effort to support a sustainable transportation system. The boat design applies an asymmetrical catamaran hull configuration to improve sailing stability and energy efficiency. The propulsion system is controlled via a wireless PS2 joystick integrated with an ESP32 microcontroller, supported by a 24V DC motor powered by lithium-ion batteries and solar panels as a supplement. Test results show that the boat can operate stably with remote control, good energy efficiency, and zero emissions during operation. Some technical challenges encountered include limited operational duration due to battery capacity and high sensitivity of electronic components to water exposure. Overall, this prototype has great potential for further development as an environmentally friendly alternative for maritime transportation system. The stable catamaran hull design provides advantages in terms of comfort and safety, especially in calm or shallow waters. The electric propulsion system used has proven to be efficient and responsive, supported by a remote control mechanism that is easy to operate via a wireless joystick

Hypertension is one of the most prevalent non-communicable diseases and a major risk factor for heart disease, stroke, and kidney disorders. The high prevalence of hypertension cases in the community, particularly in the working area of Puskesmas Kota Rantau Prapat, highlights the urgent need for more effective early detection efforts to prevent severe complications in the future. However, the limited capacity of healthcare workers in utilizing data analysis technologies has resulted in hypertension risk detection being dominated by conventional methods, which are often less accurate and inefficient. To address this issue, this community service program was conducted through training on the application of the Random Forest algorithm to analyze patients’ medical history data in order to detect hypertension risks. The training method included an introduction to the fundamentals of machine learning, data pre-processing stages, implementation of the Random Forest algorithm, and interpretation of prediction results. The outcomes of the program demonstrated that healthcare workers were able to understand the use of data analysis technologies to support more accurate early detection of hypertension. Furthermore, the participants gained practical skills in utilizing medical datasets to produce predictions that can serve as a decision-support tool for preventive medical actions.Thus, this training contributed to enhancing the capacity of community healthcare workers in integrating machine learning-based technologies into preventive healthcare services. This program is expected to serve as an initial step toward developing more effective, efficient, and sustainable data-driven health systems.

This study aims to analyze the thermal performance of the heating system in a small-scale plastic bolt molding machine using LDPE material, in order to determine process parameters that are efficient while maintaining product quality. The method used includes experimental testing at two set-point temperatures (90 °C and 120 °C), measurement of melting time and feed mass per cycle, as well as heat balance calculations separating the contributions of conduction, convection, and radiation on the barrel heated by a band heater. In addition, the power/energy requirement per cycle and productivity projections based on hopper capacity were calculated. The results show that increasing the set-point from 90 °C to 120 °C accelerates melting from ±240 s to ±180 s (≈25% faster). Heat transfer analysis confirmed the dominance of conduction (≈329.7 W at 90 °C and ≈471 W at 120 °C), while convection and radiation contributions were much smaller; the total system heat rate was ≈342.7 W (90 °C) and ≈490.8 W (120 °C). The discussion highlights the process trade-off: higher set-points increase production rate and mold filling quality (due to lower melt viscosity), but may raise energy consumption per cycle and require tighter mold temperature control to limit shrinkage/warpage. The practical implications for SMEs are the need for efficiency strategies based on barrel insulation, heater contact area optimization, and correlation of temperature-time settings with quality and energy consumption targets. This study concludes that controlled temperature and heating duration, supported by simple yet targeted thermal design, can improve cycle time consistency, dimensional precision, and energy efficiency in small-scale plastic bolt molding machines.

Final-year students have a high interest in immediately entering the workforce, but the available recruitment processes often do not meet their expectations. The e-recruitment system, which is expected to be efficient and transparent, instead causes confusion and doubt. Company reputation and compensation offered are also major considerations in the decision to apply. This study aims to analyze the influence of e-recruitment, company reputation, and compensation on the interest of Perwira Purbalingga University students in applying for jobs. A quantitative method was used with a causal associative approach. A sample of 59 respondents was selected through purposive sampling from students enrolled in 2021 and 2022. Data collection was conducted through questionnaires, then analyzed using instrument testing, descriptive analysis, classical assumption testing, and multiple linear regression. The results showed that e-recruitment had a negative and insignificant effect on job application interest. Company reputation had a positive and significant effect, while compensation had a positive but insignificant effect. The coefficient of determination value of 0.319 indicates that the three variables explain 31.9% of the variation in interest in applying for jobs, while the rest is influenced by other factors not examined in this study