This study was conducted in February - March 2025 at Sumber Mulya Cow Milk located in Sukasari Village, Kabawetan District, Kepahiang Regency. This study aims to 1). To find out how much income is in the Sumber Mulya cow milk business in Sukasari Village, Kabawetan District, Kepahiang Regency. 2). To find out what factors influence the production of fresh cow's milk in the Sumber Mulya cow milk business in Sukasari Village, Kabawetan District, Kepahiang Regency. The respondents in this study were the owners of the Sumber Mulya Cow Milk Business in Sukasari Village, Kabawetan District, Kepahiang Regency. The method of determining respondents was carried out by purposive sampling with the consideration that the business owner was successful in cultivating dairy cattle and producing fresh cow's milk. The data analysis method used in this study was revenue analysis, income analysis and cobb-dauglass function analysis and using multiple linear regression. The results of the study that the regression equation shows a constant value of α of -8.068 if the Labor Variable (X1), Amount of Feed (X2), Amount of Water (X3) then the Production Variable (Y) is -8.068. The influence of the labor variable (X1), Amount of feed (X2) and amount of water (X3) on cow's milk production (Y), then the significance value is obtained .000 < 0.05 or 5% then it can be concluded that the independent variables have a significant effect simultaneously (together) on the dependent variable, with a calculated f value of 13.995 > f table 3.35 which shows the calculated f value is greater than the f table and there is a significant influence on the three independent varimuables on the dependent variable.

 
Abstract. The aim of this systematic review was to evaluate the impact of the use of artificial intelligence on improving athletic performance. Articles were selected through searches in various electronic databases, with those included following pre-established eligibility criteria. A narrative synthesis was performed. The electronic search resulted in 2,300 articles at first. After checking the titles, abstracts, and exclusion of duplicates, 52 were selected for full reading. After that, 33 articles were excluded. 19 articles were included in this systematic review. The included articles assess both the influence of artificial intelligence on improving team sports performance and individual sports performance. Forty percent of the articles found were observational, with the remaining 60% represented by quasi-experimental articles, indicating that few scientific methods were employed when testing interventions in the samples presented. The results indicate that the use of artificial intelligence has been more frequent in the study of team sports, with few studies using both commercial technologies. Studies demonstrate that despite the increase in research waves and the emergence of artificial intelligence products, many are still poorly understood. Moreover, the lack of proper control patterns also makes the comparison of results difficult. However, given the advances and the numerous possibilities for use, it is important to continue investing in research on artificial intelligence to improve the effectiveness and performance of athletes.

The increasing unpredictability of climate change demands a system capable of automatically detecting rainfall and providing early warnings. This study aims to design and develop a rain detection system based on a water sensor and LED using an Arduino Uno microcontroller. The system operates by detecting water presence on the rain sensor and providing a visual indication through an LED. The research methodology follows a Research and Development (R&D) approach, including literature review, hardware and software design, implementation, and system testing. The test results indicate that the system can accurately detect rainfall and respond to weather changes in real-time. This system has the potential to be applied in various sectors, such as agriculture, transportation, and industry, to mitigate risks caused by sudden rain. Further development can integrate Internet of Things (IoT) technology for remote weather monitoring.

Improving efficiency and quality in ironing and folding clothes is a primary concern in modern households. This research aims to develop a prototype of an automatic ironing and folding device that enhances productivity while reducing processing time compared to manual methods. Testing was conducted on three types of fabric materials: polyester, cotton, and linen, by comparing time and folding quality between the automatic and manual methods. The results showed that the automatic prototype completed the process in an average of 5 minutes for all fabric types, compared to 8 minutes with the manual method. In terms of folding quality, the automatic prototype demonstrated more consistent results with a high level of neatness across all fabric types. The conclusion of this study is that using the automatic ironing and folding prototype provides significant time efficiency and improves quality compared to the manual method. These findings contribute to the development of more effective and efficient household technologies.
 

This research aims to understand the impact of the integration between artificial intelligence (AI) technologies and cyber security on administrative decisions in three aspects: (1) decision-making speed, (2) decision accuracy, and (3) decision effectiveness. A sample of 150 employees was drawn, and a survey was used to gather the required information. Data analysis was conducted using the statistical program SPSS 25, employing various statistical methods such as mean, standard deviation, correlation coefficient, and simple linear regression. The research concluded with several findings, the most important being: The integration of AI technologies and cyber security leads to improved speed, accuracy, and effectiveness of administrative decisions, The researcher recommended that institutions adopt AI technologies to enhance their cyber security systems, particularly in areas like machine learning and big data analysis.

The use of renewable energy has become an essential solution to reduce dependence on limited fossil energy sources. Solar panels are an environmentally friendly alternative for generating electrical energy. This study develops a solar panel system based on the Internet of Things (IoT) to provide energy for electric water heaters. The system allows for the monitoring and control of energy usage through an IoT-based application, such as Telegram. The solar panels are connected to an ESP32-based controller system, which monitors sunlight intensity and battery charging status. The test results indicate that this system can provide sufficient energy for electric water heaters with optimal efficiency and reduce dependence on conventional energy sources. 

This study analyses the effect of ease of use, user experience, and customer satisfaction on user behaviour of e-commerce applications for students of the Faculty of Economics and Business, Universitas 17 Agustus 1945 Surabaya. The method used is causal associative quantitative with data collection through questionnaires on 122 respondents. The results showed that the three variables had a significant effect on user behaviour. Ease of use (p = 0.026), user experience (p = 0.002), and customer satisfaction (p = 0.002) each have a positive influence on user behaviour. Simultaneously, these three factors also had a significant effect (Fcount = 25.059, p = 0.001). The findings support the theories of Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB), and Customer Experience Theory (CET). The practical implication is that app developers need to focus on easy-to-use design, pleasant user experience, and increased customer satisfaction to increase loyalty. This study has limitations in the sample of university students and the cross-sectional method which does not allow for long-term generalisation.

Anxiety is a common problem that can affect a person's physical and psychological changes, especially in cigarette addiction perpetrators. Addiction or addiction is an unhealthy behavioral condition that causes physical or mental dependence on something so that it has an impact on the behavior of the person who experiences it. This study aims to describe the level of anxiety in addiciton cigarette perpetrators at SMA N 1 Bukik Barisan. The study used a descriptive quantitative approach with an accidental sampling technique, with a sample of 12 students aged 15-18 years. Data was collected through the Beck Anxiety Inventory (BAI) questionnaire and analyzed using the SPSS 22 program. The results of the normality test in this study showed 0.079 (p>0.05), so it can be said that the anxiety variable has a normal data distribution. The results stated that the description of the level of anxiety in cigarette addiction perpetrators at SMA N 1 Bukik Barisan was included in the mild category.

The purpose of this analysis is to explore the relationship between the Protestant ethic and the development of modern capitalism, and to analyze the influence of Protestant ethical values ??on economic and social dynamics. In addition, this analysis aims to identify shortcomings in existing studies, including theoretical focus and broader social impacts, in order to produce a more comprehensive understanding of the interaction between the Protestant ethic, capitalism, and the social context. The method used is a literature review, which involves analyzing literature related to social theory, especially Max Weber's thoughts, as well as criticism of his approach. The results of the study indicate that although the Protestant ethic has an important role, other factors such as technological progress, social change, and political structures also contribute to shaping modern capitalism. In addition, the issue of social inequality and injustice that may arise from the application of these ethical values ??requires more attention in future studies. Thus, this study emphasizes the need for a more holistic approach to understanding the complex interaction between the Protestant ethic, capitalism, and the broader social context.

Anemia in pregnancy is a condition of pregnant women with hemoglobin (Hb) levels <11 mg/dL in the first and third trimesters while in the second trimester Hb levels <10.5 mg/dL and can be a major cause of maternal and fetal morbidity and mortality. One of the causes of anemia in pregnancy is chronic energy deficiency (CED). This study aims to analyze the relationship between chronic energy deficiency and anemia in the first trimester of pregnancy. This research method is observational analytic with a cross-sectional design. The number of samples was 91 respondents with a total sampling technique. The independent variable is chronic energy deficiency. The dependent variable is anemia in pregnant women. The instrument used was a maternal cohort register. Data analysis used the Spearman Rank statistical test. The results of the study were obtained from 91 respondents who experienced chronic energy deficiency as many as 12 people. Of these, 7 mothers (58.3%) experienced anemia and 5 mothers (41.7%) did not experience anemia. Based on the results of the Spearman Rank statistical test, a significance value of 0.000 was obtained, a correlation coefficient of 0.590 with a positive direction, which means that there is a significant relationship between chronic energy deficiency and the occurrence of anemia in the first trimester of pregnancy with a fairly close relationship and a positive relationship direction. It is hoped that women of childbearing age will pay more attention to nutritional intake in order to prevent the occurrence of chronic energy deficiency as a cause of anemia during pregnancy.