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Educational financing management plays an important role in improving the quality of education in primary schools. However, limited school operational funds often become an obstacle to achieving optimal educational outcomes. This study aims to analyze the efficiency of educational financing as a strategy for improving education quality at SDN Mekarjaya, Tasikmalaya Regency. The research employed a qualitative descriptive approach with a case study design. Data were collected through interviews, observations, and documentation studies involving the principal, teachers, and school financial documents. The findings indicate that the implementation of data-based planning, priority-scale budgeting, digital financial administration through the ARKAS application, and collaboration with various stakeholders contributed positively to improving school quality. Financing efficiency supported literacy programs, teacher competency development, learning effectiveness, and school management improvement. Although the school still faced challenges related to limited funding sources and administrative constraints, efficient financial management enabled the school to optimize available resources effectively. This study concludes that efficient, transparent, and accountable educational financing management can serve as a strategic instrument in supporting sustainable improvement in the quality of primary education.

The shaft is a crucial component in mechanical systems because it serves to transfer power and rotational motion throughout the machine. This research aims to assess the structural strength and operational performance of shafts used in a tire shredding machine through numerical simulation methods in order to achieve a safe and efficient design. The study involved several stages, including the development of shaft geometry models, the determination of boundary conditions, load application, mesh generation, and stress analysis using the finite element method. Two shaft configurations were examined: a 59 mm diameter shaft made from AISI 1045 steel and a 49 mm diameter shaft manufactured from ASTM A36 steel. The simulation results indicate that the 59 mm shaft experiences a Von Mises stress of 8.9 × 10⁻⁵ MPa, with a maximum displacement of 0 mm and a safety factor of 15. Similarly, the 49 mm shaft shows a Von Mises stress of 8.4 × 10⁻⁵ MPa, no measurable displacement, and a safety factor of 15. These findings confirm that both shaft designs are capable of safely withstanding the applied working loads. In addition, cutting system tests revealed that a 24-tooth blade achieved an efficiency of 26.9%, while a 40-tooth blade reached only 22.3%, indicating that the 24-tooth configuration provides better performance.

Differential equations involve derivatives of unknown functions and are widely used in mathematical modeling of various real-world problems. They can be classified based on linearity, homogeneity, coefficients, number of independent variables, degree, and order, thus requiring appropriate solution methods. One commonly used approach is the reduction of order method, which simplifies equations by reducing their order step by step. However, this method generally requires the solution of the corresponding homogeneous equation as an initial step. This study aims to solve nonhomogeneous linear ordinary differential equations of order with constant coefficients using the reduction of order method without determining the homogeneous solution. This research is a theoretical study based on relevant references concerning solution methods and types of differential equations. The procedure consists of two main stages: determining the fundamental symmetric polynomial variables based on the coefficients and constructing a sequence of solutions through first-order linear differential equations obtained from the reduction process. The results show that this method systematically produces the general solution of linear differential equations of order , making it an effective and efficient alternative approach

This activity aims to improve the knowledge, awareness, and anti-corruption competency of final-year maritime cadets from all APPI member universities regarding international and national maritime anti-corruption regulations, further strengthening the ethical decision-making abilities of maritime cadets in dealing with corrupt situations in ports and on ships through a simulation approach based on real cases. This activity is designed as a participatory educational workshop with an active and experiential learning approach to adult learning (andragogy), which allows the implementation team to simultaneously collect scientific data on the effectiveness of workshop interventions in increasing participants' anti-corruption knowledge and awareness. The activity is carried out through three main stages that are systematically structured, namely the preparation stage, the implementation stage, and the evaluation and follow-up stage. The results of the activity confirm the effectiveness of the participatory workshop approach based on real case simulations (experiential learning) in significantly increasing knowledge and changing anti-corruption attitudes of maritime cadets in a relatively short duration. Furthermore, cadets have a stronger stock of knowledge, awareness, and moral commitment to deal with corrupt situations in the work environment. It is concluded that the participatory workshop approach based on real-life case simulations is an effective, efficient, and replicable strategy in empowering the next generation of Indonesian seafarers to face the challenges of corruption in the global maritime industry.

Dairi Regency is known as a regency that has a natural charm that can be a potential attraction that can attract many tourists. Puncak Sidiangkat is one of the destinations that is often visited because of its natural beauty which is still very beautiful and green. So this research was conducted with the aim of planning hotels and tourist areas using ecovillage design. Puncak Sidiangkat which has the opportunity to build hotels and glamping along with other tourist facilities, develops knowledge about the advantages of natural resources in Dairi Regency which blends directly with nature in an effort to achieve economic sustainability. The design of hotel and tourist areas is inseparable from how to design buildings that have a positive effect on the surrounding environment, especially the development of mountain tourism infrastructure and facilities as an environmentally friendly and energy-efficient tourism sector. This study also considers local cultural values, community participation, and the use of sustainable materials to ensure long-term environmental balance. Furthermore, the integration of renewable energy systems, proper waste management, and landscape conservation is emphasized to support eco-friendly tourism development. Through this approach, the project is expected to enhance tourist experience while preserving natural resources and improving the local economy.

This study is motivated by the importance of the principal’s leadership role in improving the effectiveness of organizational management in Early Childhood Education (ECE) institutions. As an educational leader, the principal is responsible for organizing, directing, and coordinating all available resources in ECE institutions to ensure they function effectively and efficiently. The aim of this study is to analyze the influence of principal leadership on ECE organizational management. The research method used is a qualitative approach with data collection techniques including observation, interviews, and documentation studies. The findings indicate that effective principal leadership, particularly democratic and participatory leadership styles, has a positive influence on improving the quality of ECE organizational management in terms of planning, organizing, implementation, and program evaluation. In addition, effective leadership also enhances teacher performance and creates a conducive working environment. The implication of this study suggests that improving the leadership competence of principals is essential to support the optimal management of ECE institutions.

The management of ethical drug inventory is a crucial aspect of supporting the smooth delivery of healthcare services in hospitals. Improper management of ethical drugs can lead to stockouts or overstock, which results increased operational costs and the risk of drug expiration. This study aims to analyze the inventory control of ethical drugs at RSUD Inche Abdoel Moeis Samarinda using the Economic Order Quantity (EOQ), Safety Stock, and Reorder Point methods. The data used in this study are the consumption of ethical drugs during 2024, obtained from the hospital’s Pharmacy Installation. The data analysis method involves calculating ordering and holding costs, determining the optimal order quantity using EOQ, and calculating Safety Stock and ROP to maintain drug availability during lead time. The results of this study indicate that the application of the EOQ method provides a more optimal and efficient order quantity compared to previous policies. Furthermore, Safety Stock and ROP calculations assist the hospital in preventing ethical drug shortages and creating a more structured ordering schedule. Thus, the implementation of EOQ, Safety Stock and ROP methods can improve the efficiency of ethical drug inventory management while supporting the continuity of healthcare services at RSUD Inche Abdoel Moeis Samarinda.

Strengthening the capacity of micro, small, and medium enterprises (MSMEs) is a strategic effort to enhance business competitiveness and sustainability, particularly within the Pamulang MSME Friends (SUP) community. This community service activity aims to improve MSMEs’ financial management capabilities and increase production efficiency through the development of a joint production house. The main challenges faced by partners include limited financial literacy, the absence of systematic financial transaction records, and inadequate production facilities. The implementation of the program was carried out through training activities, mentoring in the use of the APIK financial recording application, and facilitation in designing a collaborative production house model. The results indicate an improvement in MSMEs’ understanding of financial management, including the ability to record transactions systematically, separate business and personal finances, and calculate production costs more accurately. Furthermore, the establishment of a joint production house contributes to greater cost efficiency, increased production capacity, improved product quality, and stronger collaboration among MSME actors. Therefore, this activity contributes to creating a more structured, efficient, and sustainable MSME ecosystem that supports long-term business development.

Background: Automatic segmentation of the thyroid gland in ultrasonography (USG) images using deep learning requires a user-friendly interface to support diagnostic and educational processes. Purpose: This study aims to develop and implement a Graphical User Interface (GUI) that integrates a deep learning U-Net model for interactive and efficient segmentation and visualization of thyroid USG images. Method: The development method employed the Rapid Application Development (RAD) approach using MATLAB programming language. The GUI is designed to load transverse and sagittal USG images, display automatic segmentation results, and calculate thyroid gland volume based on dimensions measured automatically from the segmentation output. Testing was conducted using USG image data from 15 volunteers, and GUI functionality was evaluated using black box testing. Result: The GUI successfully displayed USG images and segmentation results with a responsive 4-panel interface; zoom, pan, and image navigation features functioned well. Automatic segmentation occurred in real-time after image input, and volume measurement results appeared automatically. Black box testing evaluation showed all GUI features operated as expected. The average Dice Similarity Coefficient (DSC) of 0.91 indicates high performance of the U-Net model in thyroid segmentation, consistent with previous findings. Statistical testing confirmed no significant difference between volume measurements using the application and manual methods (p = 0.953). Conclusion: This GUI implementation facilitates users in performing deep learning-based segmentation and visualization of thyroid USG images, improving efficiency and accuracy in thyroid volume measurement. The GUI has potential applications in clinical practice and radiology education.

This study examines the absence of clear time limits in civil procedural law and its impact on the effectiveness of the principle of simple, fast, and low-cost justice in Indonesia. Normatively, this principle serves as a fundamental guideline in ensuring efficient and accessible dispute resolution. However, in practice, civil proceedings often take a prolonged and complex course, leading to increased costs and legal uncertainty. This research aims to analyze whether the principle has real normative force and how the lack of time constraints in each stage of civil litigation contributes to procedural delays. The study employs a normative legal research method using statutory and conceptual approaches, supported by secondary legal materials. The findings indicate that the absence of strict and binding time limits allows procedural flexibility to be misused, resulting in repeated delays, inefficiency, and case accumulation. Consequently, the principle of simple, fast, and low-cost justice tends to remain declarative rather than operational. The study concludes that the effectiveness of this principle is significantly weakened by the lack of time regulation and suggests the need for reform through time-bound case management, stricter procedural control, and the integration of digital judicial systems to enhance efficiency and legal certainty.

The development of information technology encourages government agencies to switch from manual systems to digital systems that are more efficient and accurate. One important aspect of office administration is recording the absence of village officials, which is often done conventionally so it is prone to errors, data manipulation, and takes longer in the recapitulation process. Based on these problems, this research designs and implements a Qr-Code based attendance system at the Palatta Village Government Office. The design of this system is to provide a faster, more accurate and transparent attendance solution by utilizing Qr-Code technology which is integrated into a web-based application. The system is built with main features such as user login, Qr-Code scanning, attendance history, as well as an admin dashboard to manage data and generate reports. The results of implementation and testing using the Black Box method show that all functions run as required. Testing on users also shows that the system is easy to use, speeds up the attendance process, and helps admins in monitoring and recapitulating data. Thus, this Qr-Code attendance system is suitable to be implemented as a substitute for manual methods to increase work efficiency and discipline in the village office environment.

This study aims to determine the financial management strategies implemented and their contribution to increasing the level of company profitability at PT Sarana Baja Perkasa. The method used is qualitative with a descriptive approach. Data sources in this study consist of primary data and secondary data. Primary data was obtained through direct interviews with related parties, namely the financial manager, financial staff, and cashiers at the company's head office. Meanwhile, secondary data was obtained from various internal company documents relevant to the study. Data collection was carried out through interview, observation, and documentation techniques. Meanwhile, data analysis was carried out through the stages of data reduction, data presentation, and drawing conclusions, with data validity testing using source triangulation and member checking. The results of the study revealed that the financial management strategies implemented include financial planning, cash flow management, cost control, and working capital management that are carried out in a structured manner. The implementation of these strategies has a significant role in increasing company profitability through effective and efficient financial management, thereby driving profit increases, maintaining financial stability, and supporting the company's business sustainability

Education is a crucial aspect for individuals; however, in reality, many students face learning obstacles such as low motivation and academic procrastination, which can hinder their psychological development. This literature review aims to analyze the effectiveness of various Guidance and Counseling (GC) services in addressing students’ learning problems and to identify the most prevalent and efficient strategies. The research method used was a literature review of 20 scientific articles from accredited journals and academic books published over the past ten years. Data analysis was conducted thematically to map patterns and trends in the effectiveness of interventions. The results indicate that GC services significantly contribute to addressing learning difficulties through four primary models: group counseling, individual counseling, classroom guidance, and comprehensive services. Group counseling was found to be the most widely used and effective service in enhancing students’ learning motivation and social interaction through group dynamics. Meanwhile, individual counseling proved effective for addressing personal and specific issues such as truancy and procrastination. Although effective, the implementation of guidance and counseling services still faces challenges in the form of a limited number of counselors and suboptimal time management. The implications of this study emphasize the need to optimize group services as a primary strategy, as well as increased support from schools and parents to create preventive and comprehensive interventions.

Bali cattle have significant potential advantages and are sought after by breeders and farmers due to their adaptability to the environment and high productivity. The management of Bali cattle in Mawasangka District, through a local government program, is expected to foster awareness of efficient and optimal livestock farming. This study aims to analyze the input and output of the Bali cattle assistance program from the village government in Mawasangka District, Central Buton Regency. The method used in this study uses observation, interview, documentation and analyzed using descriptive analysis. The number of respondents used was 40 people. The research respondents were taken from two villages, namely Matara and Wasilomata villages. The results of this study indicate that the impact of village regulations on the management of Bali cattle assistance in Mawasangka District, Central Buton Regency : (1) The input process of the Bali cattle assistance program has been in accordance with the previously determined plan, namely 40 Bali cattle breeders and males. (2) Output (results) there was an increase in the number of livestock owned, an increase in the maintenance system and the number of pens owned increased.

Sweet corn is a high-value horticultural crop with steadily increasing demand for both fresh consumption and use as a raw material in the food industry. This study aims to evaluate the effectiveness of NPK 16-16-16 fertilizer on the growth and yield of sweet corn. The research was conducted at Sindangbarang Experimental Field, Faculty of Agriculture, IPB University from July to October 2025. This experiment used a Randomized Complete Block Design (RCBD) with a single factor, namely the dose of fertilizer application. Treatments were using fertilizer dosages of 0, 50, 0,75, 1,00, and 1,50 NPK 16-16-16, with a control treatment for comparison. During the vegetative phase, sweet corn exhibited similar growth responses across all fertilization levels relative to the control. However, all fertilizer doses significantly improved stover weight, cob weight with and without husk, cob length, cob diameter, yield per plot, and overall productivity compared to the control. The application of NPK 16-16-16 fertilizer at the recommended (1.0) rate achieved the highest relative agronomic effectiveness (103.11%), corresponding to a 1.03-fold yield increase over the control and outperforming the comparison treatment. Application of NPK 16-16-16 at the 1.0 recommended dose is suggested as the most efficient fertilization strategy for sweet corn production, as it maximizes yield and productivity without unnecessary increases in fertilizer input.     

This study is grounded in the observation that the implementation of an efficient, simple, and low-cost judicial process in civil cases remains ineffective, particularly in relation to mediation as a dispute resolution mechanism. Although mediation has been incorporated into judicial proceedings with the aim of expediting case resolution, simplifying procedural stages, and reducing litigation costs for the parties, these objectives have not been fully realized in practice. This research seeks to examine the extent to which mediation in civil litigation effectively contributes to the realization of an efficient, straightforward, and affordable justice system. In addition, it aims to identify the factors that influence both the success and failure of the mediation process. The study employs a normative legal research method, utilizing statutory and conceptual approaches. The research is conducted through a literature review of primary and secondary legal materials. The findings indicate that the implementation of mediation in civil courts has not yet reached an optimal level. This is reflected in the relatively low success rate of dispute resolution through mediation, as well as the tendency for mediation to be treated merely as a procedural formality. Several contributing factors include the lack of good faith from the parties, limited time allocated for mediation, and the suboptimal role of mediators.

This study aims to analyze the influence of digital marketing through Instagram on purchasing decisions at UMKM Jamu Bu Bekti in Karawang Regency. The research uses a quantitative approach, with data collected through questionnaires distributed to consumers who have seen or purchased the products. The data analysis technique applied is regression analysis to examine the relationship between marketing content and promotional variables on consumer purchasing decisions.The results show that marketing content shared on Instagram does not have a significant effect on purchasing decisions. However, the content is considered quite attractive, informative, and helpful in providing product information to consumers. On the other hand, promotion has a positive and significant impact on increasing consumer interest and encouraging purchasing decisions. This indicates that consumers are more responsive to promotional strategies such as discounts, bonuses, or special offers rather than relying solely on content quality.These findings suggest that promotional strategies play a crucial role in digital marketing, especially for small and medium enterprises (SMEs). Therefore, business owners are advised to focus more on creating attractive, creative, and targeted promotional activities on social media to boost sales. This study is expected to contribute to the development of more effective, efficient, and sustainable digital marketing strategies for SMEs in the future.

Cloud job-length prediction remains challenging when the target distribution is highly skewed and contains rare extreme values. This study proposes a log-transformed, regime-based machine learning framework for robust prediction of cloud job length, represented in million instructions (MI). The approach integrates sequential feature engineering, logarithmic target transformation, weighted learning, and regime-aware modeling to distinguish between normal and extreme job-length behavior. Using an ordered GoCJ-derived cloud job-length sequence of 1000 jobs, the dataset exhibits a heavy-tailed distribution, with a mean of 129,662 MI, a median of 93,000 MI, a 95th percentile of 525,000 MI, a 99th percentile of 900,000 MI, and a skewness of 3.695. The proposed model is evaluated against sequential baselines and stronger machine learning baselines, including Naive_Last, RollingMean_5, Global_Log_ExtraTrees, RandomForest, GradientBoosting, and MLP_Log. On the main test split, the proposed Regime_Log_ExtraTrees achieved the best RMSE of 206,255.66 and the least negative R² of −0.01062, while Global_Log_ExtraTrees remained competitive in terms of MAE, MedAE, and RMSLE. Additional walk-forward validation confirms that the regime-aware model consistently achieves the best mean RMSE and mean R² across temporal folds. Ablation results further show that regime-aware learning is the primary contributor to robustness, although accurate prediction of extreme jobs remains challenging. These findings indicate that log-transformed, regime-based learning provides a practical and more robust strategy for cloud job-length prediction under heavy-tailed workload conditions.

The development of MSMEs in the traditional food sector requires business actors to increase production capacity. MSME Gethuk Lindri Niki Eco plans to build a larger facility to meet increasing demand. However, the layout planning is still based on rough drawings and experience, which can lead to inefficient material movement. This study aims to provide an overview of recommendations for a more efficient production facility layout using the CRAFT method. The research method involves collecting data on production processes, departmental areas, and material movement frequency. Moreover, an Activity Relationship Chart (ARC) is compiled to identify the close relationships among departments. The results of the analysis are visualized with a Block Plan. Furthermore, the layout is optimized using the CRAFT method. The results show that the recommended layout reduces the total material movement distance from 60.96 meters to 58.19 meters or a reduction of 4.53%. In addition, material handling costs also decreased from Rp. 780.64 to Rp. 766.19 or a savings of 1.85%. Thus, the application of the CRAFT method resulted in a more efficient production layout at the Gethuk Lindri Niki Eco MSME.

This paper focuses on a legal review of foreign investment regulations in Indonesia, a crucial aspect that underpins most of the discussion. Furthermore, it frequently highlights the implications of legal regulations on investment, including foreign investment, in several related regulations, such as the Job Creation Law and the Investment Law, for market volatility, corporate governance, and stock prices in Indonesia. This paper emphasizes a normative-empirical context, focusing on a review of capital market investment regulations and secondary analyses conducted through several journals reporting on the effectiveness of foreign investment for local companies, enhancing their image as local companies, a trend inevitably driven by local interests. This is further supported by the use of various important theories, such as foreign investment theory, the legal framework for foreign investment, stock performance theory, and efficient investment, as crucial theoretical considerations in the discussion. The point of the results of the discussion in this writing is then emphasized on its focus, namely the results of the review of the legal regulations regarding capital markets that include foreign capital markets, which also discusses the results of research reports from various journals related to the implications of foreign investment regulations as well as the challenges and discussions of harmonization regarding existing investment regulations in Indonesia.