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Hypertension is a non-communicable disease (NCD) with a high prevalence in Indonesia and is a major cause of serious complications, such as stroke, kidney failure, and heart disease. The high incidence of hypertension makes this disease a primary focus of NCD control efforts at the primary healthcare level. The Ulee Kareng Community Health Center has implemented a sustainable hypertension control program for the past three years with the aim of reducing the incidence of complications and improving patients' quality of life. This study aims to evaluate the implementation of the hypertension control program using a logic model framework that encompasses five aspects: input, process, output, outcome, and impact. The research method used is descriptive analytic with a mixed methods approach, combining quantitative and qualitative data to obtain a comprehensive overview of program implementation. The results indicate that the hypertension control program at the Ulee Kareng Community Health Center has had a positive impact. In terms of output and outcome, there has been an increase in patient compliance with therapy prescribed by healthcare professionals, a decrease in blood pressure in the majority of patients, and a decrease in the number of hypertension-related complications. This indicates that the program is quite effective in achieving its intended goals. However, several challenges remain. The main problems lie in the suboptimal data recording system and the suboptimal delivery of health education. To improve the program's effectiveness in the future, recommendations include strengthening the monitoring and evaluation system, increasing the capacity of health workers and cadres through training, and developing innovative media and educational strategies to make information more easily understood and applied by the public.

his study aims to explore the implementation of Internet of Things (IoT) technologies within the e-commerce supply chain using a systematic and comprehensive Systematic Literature Review (SLR) approach. By critically analysing a broad range of recent studies, it systematically identifies implementation patterns, integration barriers, and strategic opportunities that support efficiency and adaptability in digital supply chains. Findings reveal that IoT plays a pivotal role in enhancing logistics operations, inventory management accuracy, and responsiveness to dynamic market demands through real-time data monitoring. Key challenges include data security vulnerabilities, high initial investment costs, and the complexity of system interoperability. Nevertheless, the long-term benefits underscore the strategic potential of IoT as a transformative component in sustainable e-commerce supply chain development. This review contributes both theoretically and practically to policy development, technological investment strategies, and the design of adaptive IoT-based supply chain models.

This community service activity was carried out with the aim of improving the memory of students at the Baiturrahman Islamic Boarding School (TPQ) through the implementation of group guidance based on an interactive question and answer method. The background of this program is based on the problem of low retention of religious material that has been learned by students, so the learning approach is needed that does not only emphasize memorization, but also activates the process of critical and in-depth thinking. In its implementation, the activity is designed to involve students directly in group discussions guided by a facilitator. The questions posed are structured in such a way as to stimulate repetition of information, encourage logical reasoning, and help students connect the learning material with real experiences in everyday life. Through this process, students are not only asked to answer questions but are also trained to develop broader answers, thereby strengthening understanding and improving communication skills. This program also prioritizes a fun, collaborative, and participatory learning atmosphere so that students feel more motivated to actively participate. Evaluation results show a significant increase in students' ability to remember, understand, and re-present learning material more quickly, accurately, and coherently. Furthermore, this activity also has a positive impact on increasing students' self-confidence in the learning process and strengthening collaborative skills among group members. Thus, group guidance using the question-and-answer method can be considered an effective learning strategy for strengthening students' memory and increasing their learning motivation.

Prolonged road damage disrupts community mobility, logistics activities, and reduces road user safety. The road maintenance project on Jl. Ir. Soekarno in Blitar City, which was planned to be completed in 120 days with a budget of Rp1.16 billion, experienced a delay of 8 days due to time management constraints. This study aims to evaluate the use of the Time Cost Trade Off (TCTO) method to accelerate project completion without reducing the quality of work. The TCTO method is used to analyze the relationship between time and cost. This research proposes additional overtime working hours of 2 hours per day with the assumption of resources according to the Cost Budget Plan (RAB). The results show that with this method, the project can be completed in 117 days at a total cost of Rp1,342,177,724. Although it requires additional costs, this acceleration allows the project to be completed faster than the previous condition

The legislative body is an institution or council that has the duty and authority to make laws and constitutions in a country. In the general explanation of Law Number 23 of 2014, it is stated that the Regional People's Representative Council, hereinafter abbreviated as DPRD, is a Regional People's Representative Institution which serves as an organizing element of the Regional Government.This research using a qualitative descriptive analysis method, namely by explaining or describing the data obtained by providing logical and correct interpretations in accordance with existing facts and or legal rules that are closely related to this research. So this research is a research that is sourced from primary and secondary data using an empirical juridical approach. Based on the research results, the use of the initiative right of Sikka DPRD members in making local regulations in 2018-2021 is still less than optimal. This can be seen based on data on the number of draft local regulations passed in 2018-2021. The number of local regulations produced by Sikka Regency is 34 (thirty-four) local regulations, including 4 (four) local regulations initiated by the DPRD and 30 local regulations initiated by the Regional Government. DPRD tends to be considered passive in contrast to the Local Government which is more pro-active because the proposal of local regulations (Perda) is more dominated by the regional legislative body than the executive body. The obstacles in the implementation of the legislative function of the DPRD of Sikka Regency are caused by internal factors such as level of education and experience, as well as external factors such as lack of political communication between the DPRD and the Local Government. Based on the results of the study, the author's suggestion is that the proposed local regulations be examined and scrutinized in depth to ensure their legal content and impact on society. The DPRD of Sikka Regency needs to improve the capacity of human resources through training and technical guidance related to the formation of initiative local regulations by involving academics and experts.

Currently, the use of data mining technology has become essential in enhancing business management efficiency, including in the trending coffee shop industry. Data mining allows business owners to analyze sales information in depth, enabling more accurate decision-making regarding inventory management, promotions, and sales strategies. This study aims to implement the Apriori algorithm to analyze sales data at Menrabic Coffee Shop. The Apriori algorithm is used to discover association patterns or relationships between products frequently purchased together by customers, which can assist management in providing inventory that aligns with customer preferences. The research method illustrates the detailed implementation process of the Apriori algorithm, starting from sales data collection, data cleaning, programming, and analysis of the results. The implementation uses web programming languages such as HTML, CSS, MySQL, and JavaScript, while back-end logic is programmed with PHP. The results of applying this algorithm reveal the most popular sales patterns among customers, providing valuable insights for management to improve operational performance and customer satisfaction. Therefore, this study demonstrates that applying data mining with the Apriori algorithm can be an effective tool for understanding consumer behavior and supporting data-driven decision-making at Menrabic Coffee Shop. By utilizing these insights, management can optimize inventory, enhance sales strategies, and ultimately increase overall business efficiency.

This study aims to analyze the influence of Profitability, Liquidity, Leverage, Opinion Shopping, and Public Accounting Firm (KAP) Size on Going Concern Audit Opinion in property and real estate sector companies listed on the Indonesia Stock Exchange (IDX) for the 2020–2024 period. The audit opinion going concern is an important issue because it reflects the company's ability to maintain its business continuity in the midst of economic uncertainty and increasingly complex market dynamics. The research population includes all companies in the property and real estate sectors on the IDX, with sample selection using purposive sampling techniques that resulted in 60 companies as the object of the study. The collected data was analyzed using the logistic regression method to test the influence of each independent variable on the audit opinion going concern. The results of the study show that profitability has a negative and significant effect on the audit opinion of going concern, which means that the higher the level of profitability of the company, the less likely the auditor to give an audit opinion of going concern. Furthermore, Opinion Shopping has been proven to have a positive and significant effect on going concern audit opinions, so that the practice of seeking alternative auditor opinions has the potential to increase the risk of issuing going concern opinions. Meanwhile, the variables Liquidity, Leverage, and KAP Size did not show a significant influence on the audit opinion going concern. These findings confirm that certain financial performance factors as well as management behavior in seeking auditor opinions have an important role in determining audit opinion going concern, while other factors such as the size of the KAP are not necessarily determinative.

Employee performance appraisal is an important process in human resource management that aims to evaluate individual work achievements based on certain criteria set by the organization. This process not only serves to assess the extent to which an employee meets work standards, but also serves as a basis for strategic decision-making, such as job promotions, bonus awards, and career development planning. However, in practice, CV. Surya Perkasa Makassar faces serious obstacles in the form of subjectivity in the assessment process, because the benchmarks used still tend to be based on the likes or dislikes of superiors. This causes the evaluation results to be less objective, inconsistent, and potentially reduce employee work motivation. To overcome these problems, this study aims to develop a decision support system for employee performance appraisal using the Tsukamoto Fuzzy Logic method. This method was chosen because it is able to accommodate uncertainty in the assessment, resulting in more objective, measurable, and consistent decisions. This study uses a Research and Development (R&D) approach with a Black Box Testing method to ensure system functionality. The assessment criteria used include five main aspects, namely work quality, work quantity, discipline, responsibility, and cooperation. Data from these criteria is processed through fuzzification, inference, and defuzzification stages to obtain the final employee performance score. Test results indicate that all system features function as expected. The system is able to prevent data duplication, validate input, and produce accurate final performance scores. The implementation of the Tsukamoto Fuzzy Logic method has proven effective in reducing the level of subjectivity that typically occurs in manual assessments. Therefore, this system can be used as a reliable tool in managerial decision-making, both regarding promotions, bonus awards, and planning employee future career development.  

Ensuring the delivery of high-quality public services within educational institutions is a critical factor for sustaining student satisfaction, institutional reputation, and overall organizational credibility. Service quality in higher education is often multidimensional and subjective, making its evaluation a challenging process. To address this complexity, the present study integrates the traditional Servqual model with fuzzy logic in order to handle the uncertainty and vagueness associated with human perceptions. The Servqual framework emphasizes five core dimensions of service quality, namely tangibles, reliability, responsiveness, assurance, and empathy, which together provide a comprehensive understanding of institutional service performance. The research was conducted at ITESA Muhammadiyah Semarang, where data collection was carried out through structured questionnaires designed to measure both student expectations and actual perceptions regarding institutional services. In order to capture the imprecise nature of these responses, three types of fuzzy numbers—triangular, trapezoidal, and shoulder fuzzy numbers—were applied to convert the linguistic assessments into measurable values. Subsequently, fuzzy gap analysis was performed to evaluate the discrepancy between expectations and perceptions across the five Servqual dimensions. The results of this analysis highlight that the integration of fuzzy logic into the Servqual model provides a more nuanced and flexible framework for assessing service quality compared to the conventional approach. It reduces the ambiguity in interpreting survey responses, thereby yielding more reliable insights into areas where service performance falls short of expectations. Furthermore, the study demonstrates that each dimension contributes differently to overall satisfaction, with responsiveness and assurance emerging as critical aspects requiring attention. In conclusion, the fuzzy-based Servqual model offers a robust methodological advancement in evaluating service quality within educational settings. The findings not only inform institutional leaders about current performance gaps but also provide actionable insights for continuous quality enhancement, policy formulation, and strategic decision-making to strengthen institutional competitiveness and credibility.

This study aims to identify, assess, and control risks that arise in container loading and unloading activities at PT Dunia Express Transindo using the Enterprise Risk Management (ERM) approach. Container loading and unloading activities are complex and involve various parties, making them highly susceptible to risks, both from internal and external aspects. Risks that can occur include system disruptions, operational negligence, equipment damage, and environmental factors such as extreme weather that can affect the smoothness of the loading and unloading process. Therefore, the company needs to have a structured, comprehensive, and sustainable risk management system to maintain operational continuity. This research method refers to the COSO framework and the ISO 31000:2018 standard which focuses on the process of risk identification, assessment of likelihood and impact levels, and formulation of appropriate mitigation strategies. Data were obtained through interviews with management, field observations, and analysis of company documents. The results of the study indicate that the implementation of ERM is able to map risks more systematically, making it easier for the company to determine handling priorities. Several risks with a high probability and significant impact received special attention through the implementation of mitigation strategies such as improving information technology systems, routine employee training, and more scheduled equipment maintenance. These findings indicate that ERM implementation not only functions as a risk control tool but also plays a role in increasing operational efficiency, strengthening inter-departmental coordination, and minimizing potential losses that could disrupt company stability. Furthermore, ERM implementation makes a real contribution to increasing the competitiveness of companies in the logistics and stevedoring sector, especially in facing dynamic business challenges and external environmental uncertainty.

This article examines the concept of propositions in mathematics, which are statements referred to as (closed sentences, false, values, and true values). The discussion covers negation, or what is known as negation, as operations that have truth values and truth tables. In addition, this article examines conjunction, or compound propositions that are true. (the combination of two questions), which involves two propositions with either true or false values. Furthermore, this article also examines disjunction, which involves statements containing conjunctionand also has truth tables. The primary objective is to provide a concise yet comprehensive understanding of propositions as logical and mathematical concepts. In addition, this article examines conjunction, or compound propositions that are true. A conjunction involves two propositions that are combined using the logical operator "and," symbolized by ∧. The conjunction of two propositions is true only when both individual propositions are true. For example, if P is true and Q is true, then the conjunction P ∧ Q is also true. However, if either P or Q is false, the conjunction P ∧ Q becomes false. The truth table for conjunction helps to clarify these conditions. Conjunction is often used in mathematical proofs, where multiple conditions must be satisfied simultaneously for a statement to hold true. Furthermore, this article also examines disjunction, which involves statements containing conjunction and also has truth tables. Disjunction, represented by the symbol ∨, involves two propositions and is true if at least one of the propositions is true. If both propositions are false, the disjunction is false. For instance, if P is false and Q is true, then P ∨ Q is true. The truth table for disjunction provides clarity on how this operation works. Disjunction is frequently used in mathematics and logic to express situations where at least one condition must be satisfied.

Human Resource Management (HRM) plays a strategic role in improving organizational competitiveness through proper management of employee placement, training, and performance evaluation. To support the achievement of these goals, a predictive model is needed that can provide an accurate picture of employee performance. This study utilizes a Human Resource Management (HRM) dataset of 1,200 data and applies several classification algorithms to compare their effectiveness, namely J48 or C4.5, Random Forest, Naive Bayes, K-Nearest Neighbor (KNN), Logistic Regression, and Support Vector Machine (SVM). To obtain more optimal results, this study uses resampling techniques and attribute selection methods with a correlation attribute eval approach, so that class distribution can be more balanced and model accuracy increases. From the test results, the Decision Tree J48 algorithm showed the best performance with an accuracy level reaching 95.41%, a kappa value of 0.8925, a mean absolute error (MAE) of 0.0432, a precision of 0.955, a recall of 0.954, and an area under the ROC curve of 0.964. These findings indicate that J48 has excellent predictive capabilities compared to other algorithms. Furthermore, this study also found that the most influential variables in determining employee performance include the percentage of the last salary increase (EmpLast Salary Hike Percent), the level of work environment satisfaction (Emp Environment Satisfaction), the length of time since the last promotion (Years Since Last Promotion), and experience in the current role (Experience Years in Current Role). Overall, the results of the study indicate that the C4.5 algorithm with the application of the resampling technique can be an optimal solution in building an employee performance prediction system. Thus, this model has the potential to be a strong basis for managerial decision-making, particularly in designing HR development strategies and policies to improve organizational performance.

This study aims to describe the mathematical literacy skills of vocational high school students in solving statistics problems with the help of Microsoft Excel based on digital literacy levels, which are grouped into high, medium, and low. The background of this study is based on the importance of mathematical literacy in dealing with everyday problems and the demands of the world of work, as well as the increasing need for digital literacy mastery in the information technology era. Both are essential competencies that support each other, especially in technology-based mathematics learning. The research approach used is descriptive qualitative with a purposive sampling technique, where the selection of subjects is based on the results of the digital literacy questionnaire, equivalence of mathematics scores, and adequate communication skills to support the interview process. The research instruments include a digital literacy questionnaire, a mathematical literacy test in the form of descriptive questions completed using Microsoft Excel, and interview guidelines that have been validated by experts. The data collection procedure was carried out through tests and in-depth interviews, while data analysis included the stages of data reduction, data presentation, and drawing conclusions. The results of the study indicate differences in students' mathematical literacy skills based on their digital literacy levels. Students with high digital literacy are able to master mathematical literacy indicators well, including communication, mathematization, problem-solving strategies, and reasoning and argumentation. They can optimally utilize Microsoft Excel features to present data, perform calculations, and draw logical conclusions. Students with moderate digital literacy demonstrate fairly good mastery, but still experience difficulties in aspects of problem-solving strategies and in-depth reasoning. Based on these findings, it can be concluded that digital literacy plays a crucial role in supporting students' mathematical literacy abilities.  

Disparities in energy access across Indonesia's underdeveloped, frontier, and outermost (3T) regions have long hindered equitable national development. In response, Pertamina launched the BBM Satu Harga program, aiming to equalize fuel prices and availability throughout these regions. This study explores the effectiveness of the program in achieving its intended goals. Employing a qualitative descriptive approach, the research utilizes in-depth interviews, field observations, and document analysis as primary data collection methods. Informants include Pertamina officials, BBM Satu Harga gas station operators, and community members residing in 3T areas. Data were analyzed using an interactive model, encompassing data condensation, data display, and conclusion drawing. The findings indicate that the BBM Satu Harga program significantly improved energy accessibility, reduced travel distances for fuel acquisition, and received generally positive evaluations from stakeholders. Operational challenges remain, particularly concerning logistical distribution and infrastructure maintenance in remote locations. Nonetheless, the program’s annual implementation targets were largely achieved, affirming its critical role in reducing energy disparities. It is concluded that the BBM Satu Harga program has been effective in fostering more equitable energy access within Indonesia’s most isolated regions. Future research should focus on long-term socioeconomic impacts of energy accessibility and explore strategies to optimize logistical support and infrastructure resilience in 3T regions.

This study explores the impact of emotional intelligence and work–life balance on organizational commitment, with job satisfaction serving as a mediating variable, in the context of couriers at JNE Denpasar. Utilizing a quantitative research design, the study applies Partial Least Square (PLS) Structural Equation Modeling (SEM) to analyze data collected from 56 participants through a census sampling method. The findings reveal that emotional intelligence has a direct and significant effect on organizational commitment, indicating that employees with higher emotional intelligence tend to demonstrate stronger loyalty and dedication to their organization. However, emotional intelligence does not show a significant influence on job satisfaction, suggesting that other factors may contribute to employees' overall contentment at work. Conversely, work–life balance significantly affects job satisfaction, highlighting the importance of maintaining a healthy equilibrium between professional and personal responsibilities. Despite this, work–life balance does not directly influence organizational commitment. Further analysis indicates that job satisfaction fully mediates the relationship between work–life balance and organizational commitment, demonstrating that employees who achieve a better work–life balance are more likely to be satisfied with their jobs, which in turn enhances their commitment to the organization. However, job satisfaction does not serve as a mediator between emotional intelligence and organizational commitment, implying a more direct pathway between these two variables. These results align with the Theory of Planned Behavior, emphasizing that positive attitudes, reflected through job satisfaction, play a critical role in fostering behaviors associated with organizational commitment. From a practical perspective, the study highlights the importance for companies, particularly in the logistics industry, to invest in initiatives that enhance emotional intelligence and promote effective work–life balance strategies. By doing so, organizations can cultivate stronger employee loyalty, improve engagement, and foster a more committed workforce, ultimately contributing to better organizational performance and stability.

In the current digital era, managing sales transactions manually is inefficient and prone to recording errors. This research aims to develop a web-based Point of Sale (POS) application for the Phi Phi Thai business using the Extreme Programming (XP) software development methodology. XP was chosen for its support of rapid iteration, adaptability to changing user requirements, and strong collaboration between developers and stakeholders. The developed application includes key features such as user registration and login, product ordering, menu and customer management, expense tracking, and financial and sales reporting. Testing was conducted using the Black Box Testing method to ensure that all functionalities performed according to specifications. The implementation results indicate that the application improves operational efficiency, reduces transaction errors, and provides real-time information for business owners to support better decision-making. Furthermore, the application of Extreme Programming (XP) methodology in the development process allows time for regular evaluation and refinement of the application based on feedback from end users. Each iteration produces a version of the software that can be immediately tested and used, minimizing the risk of system failure during final implementation. This approach also encourages lightweight yet relevant documentation and open communication between the technical team and business owners. Thus, the developed Point of Sale application not only meets current functional requirements but also has a high degree of flexibility for further development as Phi Phi Thai's business grows in the future.

This article examines Herbert Marcuse's thoughts in One Dimensional Man as a critique of the dominance of technology and capitalism in shaping the one-dimensional consciousness of modern humans. Using a critical philosophical approach, this study examines how digital technology, which was originally projected as an instrument of liberation, has actually transformed into a subtle means of oppression through the mechanisms of false needs and irrational rationality. Instead of opening up a space for emancipation, technological developments often deepen human attachment to the logic of the consumption-oriented digital capitalist system. The main goal of this research is to reawaken critical awareness and human negation in the midst of virtual reality that increasingly dominates life in the Society 5.0 era. The results of the study show that digital humans tend to experience existential alienation, where deep reflection and authentic freedom are reduced by the flow of instant information, pseudo-entertainment, and consumptive lifestyles. This condition makes individuals trapped in a cycle of obedience to a system that seems rational, when in fact it covers structural dominance. The discussion emphasized the importance of emancipation efforts through the rejection of the dominant system and the reactivation of critical potential as a path to true freedom. Emancipation is understood not only as a release from the shackles of technology, but also as an effort to revive reflective consciousness that is able to negate false values. Thus, Marcuse's thought remains relevant to reading the crisis of contemporary human consciousness while providing a philosophical foundation for the formation of a reflective, independent, and autonomous subject.

Writing is a complex and fundamental language skill that plays a central role in developing students’ literacy, particularly in the context of producing negotiation texts. Negotiation texts are one of the text types taught in the Indonesian language curriculum that demand mastery of varied vocabulary, logical coherence, and persuasive language structures. Despite its importance, many students continue to face challenges in composing negotiation texts effectively. Difficulties are often found in choosing the right vocabulary, applying grammatical rules accurately, and constructing arguments that are logically consistent and persuasive. This study aims to analyze the extent to which students’ mastery of Indonesian vocabulary and grammar contributes to their ability to write negotiation texts. The research was conducted on class X students of MAN Kota Mojokerto using a qualitative method with a descriptive approach. Data were collected through three techniques: analysis of students’ written negotiation texts, interviews with teachers and students, and classroom observations during the learning process. The results of the study reveal that most students demonstrate limited mastery of vocabulary, which results in repetitive word choices and restricted expression. In addition, weaknesses in grammar application often lead to inaccurate sentence construction, lack of cohesion, and unclear argument flow. These shortcomings significantly affect the quality of negotiation texts, which tend to be less persuasive, poorly structured, and unable to fulfill the standard criteria of negotiation text writing. Based on these findings, it can be concluded that vocabulary mastery and grammar proficiency play a crucial role in supporting students’ negotiation text writing skills. To address this issue, Indonesian language learning needs to adopt strategies that consistently emphasize writing practice, provide opportunities for vocabulary enrichment, and strengthen students’ grammatical competence. Such approaches are expected to improve students’ literacy levels, particularly in the production of negotiation texts.

The implementation of a recommendation feature in the courier service selection system on e-commerce platforms is a technological innovation aimed at improving logistics efficiency while providing a more optimal user experience. Through this feature, consumers can find alternative delivery services based on certain indicators, such as cost, estimated time, and service quality. However, in practice, the implementation of recommendation features has the potential to raise legal issues when platforms prioritize internal couriers or certain partners without transparency and clear objective indicators. This situation can lead to discriminatory treatment, limit market access for other businesses, and reduce consumer freedom in choosing services. This study aims to analyze the implementation of recommendation features by e-commerce platforms from a competition law perspective, specifically based on Law Number 5 of 1999 concerning the Prohibition of Monopolistic Practices and Unfair Business Competition. The method used is normative juridical research with a descriptive-analytical approach, through the review of secondary data in the form of laws and regulations, literature, and the practice of implementing recommendation systems in the digital industry. The research results indicate that recommendation features that unilaterally prioritize internal couriers without objective basis and without information transparency have the potential to violate Article 19 letter d of Law Number 5 of 1999. This practice can hinder competition, close opportunities for other courier service providers, and create distortions in the digital logistics ecosystem. Therefore, this study recommends that recommendation features in e-commerce be designed in a neutral, transparent manner, and based on objective indicators, such as rates, estimated delivery times, and service performance. This will maintain healthy business competition and protect consumers' rights to obtain the best service options.

This study aims to analyze the effectiveness of the use of Village Funds in Mengkait Village, South Siantan District, Anambas Islands Regency, Riau Islands Province. The Village Fund is a strategic policy of the government in order to accelerate the development and empowerment of village communities, so it is necessary to evaluate the extent to which the funds are used appropriately and effectively. The research approach used is qualitative descriptive with data collection techniques through in-depth interviews, observations, and documentation of informants consisting of village officials, community leaders, and beneficiary communities. This study uses four indicators of effectiveness, namely accuracy of timing, accuracy of cost calculation, accuracy in measurement, and accuracy in thinking. The results of the study show that the use of Village Funds in Mengkait Village in general has been quite effective. The timeliness of the implementation was largely achieved, although some activities experienced delays due to weather and logistical factors. In terms of cost calculation, the village government has prepared the budget in a participatory and transparent manner, although there have been some adjustments due to price changes in the field. Accuracy in measurements shows that physical activities have been carried out in accordance with the technical plan, although there is still a need for increased supervision and accuracy in implementation. Meanwhile, precision in thinking is reflected in program planning that starts to be based on data and the real needs of the community, although not completely visionary or long-term. The village government has shown progress in implementing the principles of good governance and village development management. In conclusion, the effectiveness of the use of Village Funds in Mengkait Village has reached a fairly good level. To increase effectiveness in the future, it is recommended to increase the capacity of village officials, strengthen the monitoring and evaluation system, and actively participate of the community in all stages of Village Fund management.