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This study aims to analyze the implementation of digital marketing in increasing sales of small and medium enterprises (SMEs) in the bedding equipment sector on online platforms. The background of this research is driven by the high level of competition in marketplaces and the need for business actors to optimize digital marketing strategies to remain competitive. The research method used is Participatory Action Research (PAR), combined with SWOT analysis to identify business conditions comprehensively. Data collection techniques were carried out through direct observation of production and marketing activities. The results show that the implementation of digital marketing through marketplaces and social commerce can expand market reach, increase sales volume, and enhance the business actor’s understanding of managing online marketing strategies. In addition, product content optimization, the use of promotional features, and customer service play an important role in increasing consumer trust and purchase decisions. However, challenges such as high advertising costs and frequent changes in platform policies were also identified. Overall, this study concludes that well-planned and efficient digital marketing strategies can improve competitiveness, profitability, and business sustainability of SMEs in the digital era.

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

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 aims to analyze the comparison of equity-based financing decisions and sukuk from the perspective of Sharia principles in companies in Indonesia. The development of the Islamic capital market in Indonesia shows a significant increase in the use of financing instruments that comply with Islamic principles, thereby encouraging companies to consider funding alternatives that are not only financially efficient but also Sharia-compliant. In the framework of Sharia financial management, capital structure decisions must consider the prohibition of usury, the principle of risk sharing, fairness in risk distribution, and contract certainty. This research uses a qualitative approach with a literature study method thru the analysis of various scientific journals, regulations, and academic sources related to capital structure theory, the concept of Sharia equity, and the characteristics of corporate sukuk in Indonesia. The study results indicate that equity-based financing provides flexibility in capital structure and reflects a risk-sharing mechanism, but it has the potential to cause ownership dilution. Meanwhile, sukuk offers asset-based financing with a clear contractual structure and does not dilute company ownership, although it requires an underlying asset and a more complex issuance process. Comparatively, both instruments have Sharia legitimacy as long as they meet the screening requirements and contract structures applicable in Indonesia. This research emphasizes that corporate financing decisions in Indonesia need to consider the balance between financial efficiency and compliance with Sharia principles.

This study aims to evaluate the determinants of organizational sustainability within the Doctor Peduli Foundation (doctorSHARE), specifically regarding its Floating Hospital program. Specifically, it examines the influence of stakeholder support and operational efficiency on organizational sustainability, while analyzing the role of organizational innovation as a mediating variable in ensuring the continuity of medical services in remote areas. Employing a quantitative approach with a survey method, data were collected from 81 respondents comprising staff and volunteers directly involved in the Floating Hospital's operations. Structural Equation Modeling (SEM) was utilized to analyze the data and test the proposed hypotheses.The results reveal that stakeholder support does not have a significant direct impact on either organizational sustainability or innovation performance. Conversely, operational efficiency emerged as a dominant factor with a significant positive influence. Furthermore, organizational innovation was found to play a crucial role as a mediator, strengthening the impact of operational efficiency on organizational sustainability.This study concludes that the sustainability of non-profit organizations such as doctorSHARE is determined more by management's ability to optimize internal resources efficiently and innovatively than by reliance on external support. Consequently, strengthening internal operational systems should be a primary strategic priority to ensure long-term organizational existence.

This research aims to develop an information system for the Imam Malik Koppe Mosque in Darma Village, Polewali District, Polewali Mandar Regency, utilizing the eMasjid platform as a solution for digitally managing mosque activities. The problem faced was the suboptimal recording of activity data, financial data, and service information for the congregation. The system development method used the Waterfall model, which consists of needs analysis, system design, implementation, testing, and maintenance. The result of this research is a mosque information system capable of presenting information on activities, financial data, reports, and communication between administrators more efficiently, transparently, and accountably. This system is expected to be an effective and user-friendly means of digitizing mosque management.

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.

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.

Services in the health sector are a form of public service that must be implemented properly by the government. In the context of health services, the importance of effective and efficient implementation cannot be ignored because this has a direct impact on people's quality of life. In order for health services to achieve their goals, various requirements must be met, including the availability of adequate facilities and infrastructure, a harmonious relationship between patients and service providers, easy accessibility, and high quality. The aim of this research is to determine the description of the service quality of administrative staff. at the Kelapa Gading Community Health Center. The method used is descriptive with a quantitative approach which produces univariate results. This research was conducted at the Kelapa Gading Community Health Center with a total of 150 respondents. The variables in this research are Service Procedures, Completion Time, Service Costs, Service Products, Facilities and Infrastructure, Accreditation of Service Officers. The population in this study were all 1.216 outpatients with a sample of 150 respondents.

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.

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.

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

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.

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.     

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.

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.

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.

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.

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.