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This study aims to determine how much influence of financial literacy to the performance of the financial on the MSMEs and control cost in Bojonegoro District. Research this is research quantitative. Collection the data done by spreading question naires and then processed using the SPSS application. Total sample is 38 the sample actors MSMEs ssector culinary in sub-district bojonegoro. Results here are in fluence positive and significant Financial literacy variables on the cost control of reseresearch shows that. The influence positive and significant variable literacy Finance onthe performance ofthe financial SMEs. Tarch on the effect of financial literacy on MSMEs performance have very broad implications, both theoretically and practically. There is no significant effect of mediation between financial literacy variables on financial performance through cost control. The results of this study can enrich the Khazanah science, provide better policy recommendations, and help MSMEs in improving their financial performance. This study contributed a very valuable to the development of MSMEs in Bojonegoro.

This research is motivated by the lack of teacher performance in utilizing the Merdeka Mengajar platform application. Therefore, PAI teachers are required to be able to operate the Merdeka Mengajar platform application. This study aims to obtain clear information about: 1) Planning the Merdeka Mengajar platform in improving the performance of PAI teachers at SMP Negeri 5 Jawai. 2) Steps of the Merdeka Mengajar platform in improving the performance of PAI teachers at SMP Negeri 5 Jawai. 3) Evaluation of the Merdeka Mengajar platform in improving the performance of PAI teachers at SMP Negeri 5 Jawai. The subjects of this research are PAI teachers and the principal of SMP Negeri 5 Jawai. To obtain data related to the research focus, researchers conducted interviews, observations, and documentation. The data validity checking techniques used are: 1) Triangulation technique, 2) Member Check technique. The results of the research can be concluded: 1) Planning the Merdeka Mengajar platform in improving the performance of PAI teachers at SMP Negeri 5 Jawai is done by preparing activity programs, scheduling, preparing materials based on the Merdeka Mengajar platform application, and evaluating the program implementation. 2) Steps of the Merdeka Mengajar platform in improving the performance of PAI teachers at SMP Negeri 5 Jawai are done by: forming facilitators, analyzing the level of school readiness, designing dimensions to be used, themes, time allocation, and compiling project modules and reporting strategies, introducing and guiding teachers who have not been able to operate the Merdeka Mengajar platform application. 3) Evaluation of the Merdeka Mengajar platform in improving the performance of PAI teachers at SMP Negeri 5 Jawai includes: increased teacher engagement in using various PMM features, improved pedagogical and professional competence of teachers, increased ability of teachers to adopt innovative learning approaches, and a balance between accurate evaluation and realistic workload for teachers.

Since early 2021, the population administration service in Bandung Regency has been supported by service innovations implementation through an online service system, with the presence of the SAKEDAP application. Hence, the Population and Civil Registration Office of Bandung Regency makes use of Information and Communication Technology as an application of Agile Governance in order to deal with the dynamics of the environment. Nevertheless, at the implementation level of the newest version of SAKEDAP application, the limit of the Q-Ban is only 150 queues a day from 4,000 applicants per day. To tackle these problems, outreach should be tailored through a broad range of accessible media platforms, the recruitment of IT specialists to assure the strength of the system and the ability to increase capacity when necessary. Such measures, which, will enhance public understanding and easier access to services, are consistent with the ideals of the good governance which espouses efficiency and responsiveness. The objective of this study is to discover and analyze Agile Governance based Integrated Population Queue System Service in the Population and Civil Registration Office of Bandung Regency. Observer-participant, in-depth interviews and document review were the main data collection techniques used. In addition to Good Enough Governance, business- driven, Human Focused, Based on Quick Wins, Systematic and Adaptive Approach, Simple design and Continuous Responsiveness, based on the research conducted, the researcher found the responsiveness factor or the ability factor, which is intended to help and provide fast service to customers with clear information and can support the successful implementation of Agile Governance.

The purpose of this study was to determine and analyze the direct influence of Servicescape, Brand Image and Customer Satisfaction on Repurchase Intention and to see the role of Customer Satisfaction as an intervening variable. The research method used is descriptive associative using a sample of 150 respondents. The data analysis method used is (Partial Least Square) PLS using the Smart PLS application. The results showed that Servicescape and Customer Satisfaction have a positive and significant effect on Repurchase Intention; Brand Image has a positive but not significant effect on Repurchase Intention; Servicescape and Brand Image have a positive and significant effect on Customer Satisfaction; Servicescape and Brand Image have a positive and significant effect on Repurchase intention through customer satisfaction at Customer Maxx Coffee in Medan.

This study aims to determine the effect of using the Two Stay Two Stray (TSTS) learning model on the listening skills of fifth-grade students. The research was conducted in classes VB and VC at UPT SDN 015 Sumber Sari, involving a total of 62 students, during the odd semester of the 2024/2025 academic year, specifically in July 2024. The study utilized a Non-Equivalent Control Group Design, involving two classes: VC as the experimental class with 32 students and VB as the control class with 30 students. In the experimental class, learning was conducted using the Two Stay Two Stray (TSTS) model, while in the control class, conventional teaching methods were applied. Students' listening skills were assessed through pretests and posttests in audio format, each consisting of 20 questions. The data collected were analyzed using normality tests, homogeneity tests, and hypothesis testing through the SPSS 24 application. The results showed that hypothesis testing using the t-test produced a significance value of 0.000 < 0.05, indicating that Ha was accepted and Ho was rejected. These findings suggest a significant effect of applying the Two Stay Two Stray (TSTS) learning model on students' listening skills. This improvement was evident from the average posttest scores, with the experimental class achieving an average of 83.48, higher than the control class's average of 71.74. Thus, this study confirms that the use of the Two Stay Two Stray (TSTS) model is effective in enhancing the listening skills of fifth-grade elementary school students.  

Teacher certification is carried out through the Teacher Professional Education Program (PPG) which is organized by universities determined by the Minister. However, in its implementation there are still problems, including a lack of socialization regarding in-service teacher certification policies and complex teacher certification procedures and limited quotas. The purpose of this research is to determine the implementation of the Teacher Certification Policy in South Tangerang City. The method used in this research is a qualitative approach with descriptive methods. Data collection methods were carried out by interviews, observation and documentation. The theory used in this research is the Implementation Model according to Charles O Jones which consists of Organization, Interpretation and Application. The results of this research explain that the organizational indicators related to resources are that the implementation of this policy has not run optimally, there is a lack of training and coaching for implementing staff.  The interpretation of the implementation of the teacher certification policy has provided clarity regarding the goals and objectives of all parties involved in implementing the policy. The implementation of this policy is going well, the Government provides the SIMPKB platform which contains complete information about PPG for pursuing an educator certificate.

Interfaith marriage is a complex issue with far-reaching legal, religious and social implications. This research analyzes the role of Islamic law in addressing interfaith marriage, focusing on the dynamics between harmonization and conflict. Through a literature review and survey, this research identifies the factors that influence the acceptance or rejection of interfaith marriage from an Islamic perspective. According to the questionnaire survey results, the majority of respondents rejected interfaith marriage absolutely, reflecting the strong traditional views in the Muslim community. However, there are also groups that allow these marriages under certain conditions, such as one of the couple converting. This shows the plurality of views in Islamic society regarding the issue of interfaith marriage. This shows the dynamics between religious norms and complex social realities in the context of interfaith marriage globally. Although Islamic law generally prohibits interfaith marriage, social practice shows that there are variations in its application.

This research aims to determine the effect of the human development index and economic growth on unemployment and poverty in Aceh. This research uses secondary data with a time series of 2013-2022 with the scope of Jogjakarta province. This research model uses a path analysis model using the Eviews application. The results of this research show that the number of labor force directly has a positive and insignificant effect on the level of poverty. The human development index directly has a negative and significant effect on the poverty level The number of labor force directly has a negative and significant effect on the unemployment rate. The human development index directly has a positive and significant effect on unemployment. The poverty level directly has a positive and insignificant effect on the unemployment rate. Indirectly, the number of labor force has a negative and insignificant effect on unemployment through poverty. Indirectly, the human development index has a negative and insignificant effect on unemployment through poverty.

The demand for real-time performance monitoring in the Industry 5.0 era encourages organizations to adopt integrated approaches to management control systems. This study aims to develop and validate a Balanced Scorecard (BSC)-based performance evaluation model integrated with computerized accounting systems to enhance managerial decision-making quality. The research employs a Research and Development (R&D) approach, following systematic stages of model development including needs analysis, system design, prototype construction, and expert validation. Primary data were obtained from three management accounting experts and two information system practitioners who evaluated the model using five key criteria: accuracy of key performance indicators (KPI), ease of use, indicator relevance, data visualization quality, and implementation feasibility. The findings reveal that all criteria achieved average scores above 4.0 on a five-point scale, indicating a high level of expert consensus and confirming the model’s conceptual validity. The highest scores were recorded for KPI accuracy (4.5) and implementation feasibility (4.4), demonstrating the model’s potential for real-world application. The novelty of this study lies in its integration of BSC metrics with real-time accounting data processing through the R&D approach, resulting in a systematic framework for performance monitoring. Future research is recommended to enhance dashboard interactivity and conduct field implementation testing to measure the model’s impact on decision-making quality.

This research aimed to determine the influenced of perceived ease of use and perceived usefulness on continuance intention of Kopra by Mandiri which is mediated by trust in the Tapal Kuda area. This research used the Explanatory Research type. Researchers used the proportional random sampling method or random sampling. The author used the determination of the sample size in this research based on the Slovin method as a measuring tool for calculating sample size so that research could be made easier. The number of research samples determined using the Slovin formula was 321 people. The data analysis method used Structural Equation Modeling (SEM) with the SmaprtPLS application. The results of the research showed that Perceived Ease of Use influenced Trust Kopra by Mandiri in the Tapal Kuda area. Perceived Usefulness influenced Trust Kopra by Mandiri in the Tapal Kuda area. Perceived Ease of Use influenced Continuance Intention of Kopra by Mandiri in the Tapal Kuda area. Perceived Usefulness influenced Continuance Intention of Kopra by Mandiri in the Tapal Kuda area. Trust influenced the Continuance Intention of Kopra by Mandiri in the Tapal Kuda area. Trust mediated the influence of Perceived Ease of Use on Continuance Intention of Kopra by Mandiri in the Tapal Kuda area. Trust mediated the influence of Perceived Usefulness on Continuance Intention of Kopra by Mandiri in the Tapal Kuda area.

This study was conducted to evaluate how the Gojek application contributes to the development of the digital economy, especially for Micro, Small and Medium Enterprises (MSMEs) in Tanjung Pinang City. Together with the rapid development of digital technology, Gojek has become a solution for MSMEs in expanding market share, increasing operational efficiency, and easy access to financial services. This research explores qualitative methods that take a case study approach to MSME players who utilize the Gojek application. The research shows that the Gojek application makes a significant contribution to the development of the digital economy of MSMEs in Tanjung Pinang by providing easy access to marketing, delivery of goods, and digital payments. In addition, MSME entrepreneurs in Tanjung Pinang benefit in gaining cost and time efficiency, while increasing revenue from their sales. However, there are still some obstacles that need to be overcome related to technological adjustments, infrastructure limitations, and costs that must be borne by MSME players.

This research aims to analyze the effect of E-Service Quality and Perceived Value on Customer Satisfaction in using the Flip application. This study uses quantitative methods by collecting data through a Likert scale questionnaires distributed to active S-1 and D-4 students of the Faculty of Economics and Business State University of Jakarta who are Flip application users. The sampling method applied is purposive sampling, with a final sample of 86 respondents. The data collected was then analyzed using multiple linear regression with the help of SPSS software. The results showed that the two independent variables, namely E-Service Quality and Perceived Value, had a significant positive effect on Customer Satisfaction, both partially and simultaneously. E-Service Quality has a more dominant influence than Perceived Value with a regression coefficient of 0,379. This finding indicates that efficient, reliable, and high-value digital services contribute significantly to increasing Flip user satisfaction.

In the increasingly competitive Industry 4.0 era, companies need to forecast product demand to meet consumer needs and improve operational efficiency. CV Mamifood Sukses Abadi, an MSME that produces milk and cheese-based foods, has faced sales fluctuations in the last two years, thus requiring accurate forecasting to plan production strategies and resource management. This research aims to forecast demand using the Fuzzy Mamdani method and the POM-QM application. Fuzzy Mamdani was chosen for its ability to handle decision-making with multiple criteria and balanced weights, while POM-QM was used to validate predictions through quantitative methods. Product sales data for the years 2022 and 2023 were analyzed to produce accurate forecasts. The methods used include Moving Average for forecasting and evaluation of the results using MAPE. The analysis results show that the Moving Average method with N = 2 produces a MAD value of 402.523 and a MAPE of 22.155%, while the results of Fuzzy Mamdani show that product demand in the next period tends to decrease. This research is expected to provide insight for CV Mamifood Sukses Abadi in planning a more efficient production strategy.

Traditional architecture in North Sumatra is very diverse. There are eight types of traditional houses in North Sumatra, and each tribe also has a diversity of traditional architecture. This research summarises the diversity of local architecture, especially traditional Pakpak architecture in North Sumatra, to be used as a guide in the application of architect licensing in North Sumatra.The method used is literature study and sorting out aspects of architecture that are important to understand. These aspects are historical background, settlement patterns, building types, ornaments and examples of their application. From this research, it was found that there is a lack of scientific literature documenting traditional Pakpak architecture in North Sumatra. It is hoped that this research will encourage further research into traditional architecture which is still very under-researched.

Technological advancements have had a significant impact on facilitating financial transactions, one of which is through the use of digital payment systems. ShopeePay, as one of the e-wallets that has rapidly grown in Indonesia, offers convenience in making cashless transactions. Although ShopeePay is becoming increasingly popular, several factors still influence the behavior of its use, particularly among Generation Z. This study aims to analyze the factors that affect ShopeePay usage behavior among Generation Z students at the Universitas Muhammadiyah Surakarta using the UTAUT model. The sampling method used is convenience sampling. This quantitative research uses primary data collected through an online questionnaire via a Google Form link. A total of 275 respondents are involved in the study. Data analysis is conducted using the Smart PLS application. The results of the study indicate that performance expectancy, social influence, and facilitating conditions have affect use behavior, while effort expectancy does not have use behavior. This study emphasizes the importance of performance, social, and infrastructure support aspects in enhancing the acceptance of ShopeePay as a digital payment technology.

The rapid advancement of technology has made artificial intelligence (AI), particularly generative chatbots, an integral part of everyday life. These chatbots, powered by Natural Language Processing (NLP) and deep learning technologies, are widely used in various fields such as customer service, education, and entertainment. However, the increasing prevalence of such technologies brings forth important philosophical concerns, particularly in the realm of axiology—the branch of philosophy that deals with the nature of values, including the practical and ethical implications of knowledge and technology. This study investigates the practical benefits and ethical responsibilities associated with generative chatbots, using ChatGPT as a case study. The research examines whether ChatGPT adheres to the axiological principles of science, specifically its usefulness in enhancing human life and its ethical responsibilities. Through a qualitative content analysis, this research evaluates the responses of ChatGPT to a series of questions based on the axiological framework outlined by Sumantri. The study focuses on two main aspects of science's axiological evaluation: the practical benefits of science and technology, and the ethical responsibilities tied to their application. The findings indicate that ChatGPT is capable of providing useful insights that contribute to human understanding, improve quality of life, simplify complex tasks, and offer solutions to various problems. However, the ethical considerations of AI technology, such as fairness, transparency, and accountability, remain a crucial area of concern. This research highlights the importance of balancing technological progress with ethical responsibility, emphasizing that AI systems like ChatGPT must be developed and applied in ways that align with human values to ensure their positive impact on society.

In the era of globalization, technology increases efficiency in various human activities, including plant cultivation. Chili plants require special care, especially in meeting water needs according to ideal soil moisture, which is 30% -50% for chili. Conventional monitoring methods are inefficient because they require a lot of time and energy. A new breakthrough is needed to continuously monitor temperature, air humidity, and soil moisture. The designed tool will be placed in Cipadung Village to monitor soil moisture in chili plants, which require soil moisture that is not too high. This tool facilitates monitoring through the application, allowing automatic and manual watering. Soil moisture stability is also important for tomatoes, so watering can be regulated through the application display. This tool is useful for monitoring soil moisture levels effectively, supporting plant care with stable soil moisture needs, and facilitating the watering process through the application.

Dehydration occurs when the body loses too much water and essential fluids in the body. Diarrhea is the main cause of dehydration in toddlers. Toddlers often get diarrhea because their immune system is still vulnerable. If the problem of dehydration is not addressed immediately, it can lead to other health problems such as shock risk. This study aims to determine the effect of video education and demonstration on the ability of first aid dehydration due to diarrhea in mothers with children 0-5 years in Siding Tuban Village. The research design used was Pre Experimental with a one group pretest-postest approach, a sample of 16 respondents taken from 66 populations through Purposive Sampling. Research instrument Ability was measured by observation sheet and analyzed using Wilcoxon Signed Rank test (α=0.05). Before the intervention, 93.8% of respondents had poor skills and after the intervention, 100% of respondents had good skills, which showed an increase in the value of dehydration first aid skills. The results of the analysis obtained p-value=0.000 (<α), meaning that there is an effect of education on the ability of first aid for dehydration due to diarrhea in children. The combination of video and demonstration methods improves the mother's ability to dehydrate children due to diarrhea through visualization and hands-on practice, facilitating understanding and effective application. It is expected that mothers can carry out first aid for dehydration due to diarrhea in children without guidance, reducing the risk of child mortality.

The growth of e-commerce in Indonesia has led to the emergence of various online shopping platforms, with Shopee being one of the most popular in Semarang City. User reviews on the Shopee application serve as a valuable data source for analyzing customer satisfaction levels; however, the large volume of data requires a systematic and accurate analytical approach. This study aims to analyze user review sentiments of the Shopee application using three machine learning algorithms: Random Forest, Naïve Bayes, and Support Vector Machine (SVM), as well as comparing the accuracy of these three algorithms. This research utilized 1000 reviews collected through web scraping from the Play Store, which were categorized into three classifications: positive, neutral, and negative sentiments. The analysis process encompassed pre-processing stages, feature extraction using TF-IDF, and classification using Random Forest, Naïve Bayes, and Support Vector Machine algorithms. The results demonstrated that the Random Forest algorithm achieved the highest accuracy at 96.19%, followed by Support Vector Machine with 95.71% accuracy, and Naïve Bayes with 84.76% accuracy. This research highlights the effectiveness of Random Forest and SVM in classifying user review sentiments towards the Shopee application.

Lubuk Karet Village has great potential in rubber production. However, the rubber sales process is often faced with various obstacles, such as difficulty in determining the right price and lack of transparency in transactions. This study is an analytical study using a qualitative approach. The aim is to analyze and design a prototype of a rubber sales application. This study uses questionnaires and interviews as the main data to answer research questions. The output of this study is the identification of problems and concerns of farmers related to how to calculate market prices, difficulties in recording transaction history, and minimal transparency of information regarding selling prices in the wider market. Then the second finding is regarding the prototype design of a prospective rubber sales application which will later be further developed by researchers. From the results of the analysis in this study, it is hoped that there will be further development of the application with farmer data entry features, rubber price calculations, and transaction tracking. It is hoped that this application can provide convenience for farmers in selling their crops, increase farmers' income, and provide transparent information regarding market prices. In addition, this application can also be a promotional media for local rubber products.