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This research is a literature study which aims to examine the form of kyai leadership in modern Islamic boarding schools. This research data was taken from research results related to kyai leadership and modern Islamic boarding schools published in scientific journals and various reference books that are relevant to this research. The data in this research was collected through documentation techniques, then analyzed inductively. The research results show that Kyai choose a democratic leadership pattern in leading modern Islamic boarding schools. This is caused by several factors related to the effectiveness of Islamic boarding school development and leadership style.    

This study examines the influence of monetary policy, particularly interest rates, on economic stability in the TIMI countries (Thailand, India, Malaysia, and Indonesia). It underscores the vital role of interest rates in controlling inflation and stimulating economic growth. Utilizing a Vector Autoregression (VAR) model, the research analyzes the reciprocal relationships between crucial economic indicators such as GDP, CPI, exchange rates, consumption, interest rates, and trade balances from 2008 to 2022. For instance, adjustments in interest rates can influence investment levels, consumption patterns, and inflation rates, thereby affecting overall economic activity. The Granger causality tests indicate that short-term relationships between these variables are insignificant, but long-term interactions are evident. This supports the Johansen cointegration results, which confirm two cointegrated equations at the 5% significance level. The study emphasizes maintaining interest rate stability for sustainable economic growth and price stability. It highlights that fluctuations in interest rates, influenced by global economic conditions and domestic economic policies, play a crucial role in the economic performance of TIMI countries. Recommendations for central banCM include implementing responsive and adaptive interest rate policies to manage inflation, foster economic growth, and maintain exchange rate stability. This approach is essential for addressing disparities in income, education, healthcare, and technology access, which are critical for equitable economic development. In conclusion, this research underscores the importance of a nuanced understanding of monetary policy's impact on economic stability and the need for coordinated efforts between fiscal and monetary authorities to achieve long-term

This research aimed to identify students' misconceptions of acid-base material using a Two-Tier Multiple-Choice test at SMA Negeri 4 Gorontalo. It employed a qualitative descriptive approach, and the data collection techniques used were a Two-Tier Multiple Choice test instrument. Additionally, the research subjects were students in Class XI of SMA Negeri 04 Gorontalo, with a total sample size of 70.The research data were obtained from students' responses to the Two-Tier Multiple-Choice test questions.These responses were analyzed based on the students' answer patterns and categorized into three groups: Understood the Concept, Misconception, and Did not Understand the Concept The findings revealed that 10% of students understood the concept, 41% did not, and 49% had misconceptions. This result signified high misconception among studenst in Class XI of SMA Negeri 04 Gorontalo regarding acid-base material.

This study aims to determine the comparison of the regulation of revenge porn based on legislation in Indonesia and Australia.  This research is a normative or doctrinal legal research with a statutory approach. The type of data used is secondary data. The technique used in collecting legal materials in this research is literature study or document study. This research uses legal reasoning analysis techniques that are sociological in nature through deductive thinking patterns, namely by explaining a general thing to then be drawn to a more specific conclusion. Based on this research, it is found that the two countries have differences in handling revenge porn cases. In Indonesia, the regulation of revenge porn is regulated in several laws, namely the ITE Law, the TPKS Law, and the Pornography Law. Unfortunately, these three regulations do not regulate revenge porn clearly and completely. Meanwhile, in Australia, there are special regulations governing online-based sexual violence crimes, including revenge porn. The regulation of revenge porn in Australia has been explained completely and comprehensively by the establishment of a complaint portal that can be accessed online by victims called eSafety Commissioner.

Adequate provision of drinking water in quantity, quality, and continuity is needed to realize a healthy and productive society. A well-managed Drinking Water Supply System (SPAM) is essential to meet this need. Based on Government Regulation Number 122 of 2015, the implementation of SPAM involves the development and management of drinking water which is the responsibility of the local government and PUDAM as the implementer. The main challenges faced by PUDAM include the high level of water loss or Non-Revenue Water (NRW), which reaches 40% in Indonesia. One of the efforts to reduce the NRW level at PUDAM Banyuwangi Regency in the Kalipuro District area is to detect abnormal consumption in customer drinking water consumption. This study uses the Deep Q Network and Local Outlier Factor algorithms to detect anomalies in drinking water consumption, with the aim of comparing the performance of the two algorithms in identifying abnormal consumption patterns at PUDAM Banyuwangi Regency. The results of the study indicate that the Local Outlier Factor algorithm is more suitable for anomaly detection as evidenced by the absence of detection errors and an F1-Score value of 36%.

Hypertension is a condition when the systolic blood pressure in the human body is ≥140 mmHg and diastolic blood pressure ≥90 mmHg. Hypertension is dangerous because it has an impact on cardiovascular disease. The aim of this research is to determine the relationship between nutritional knowledge, fat intake and smoking behavior with the incidence of hypertension in the community in the Kondodewata Community Health Center working area.The type of research used was quantitative with a cross sectional design. The population in this study was 238 people aged >15 years with a research sample of 75 people using a simple random sampling technique. The instruments used were questionnaires for nutritional knowledge and smoking behavior, while the Food Recall for Fat Intake was then processed in the form of univariate analysis and bivariate analysis with p value = 0.05.The results of this study show that there is a relationship between nutritional knowledge and the incidence of hypertension in the Kondodewata health center working area with p value = 0.014. There is a relationship between fat intake and the incidence of hypertension in the Kondodewata health center working area with p value = 0.000. There is no relationship between smoking behavior and the incidence of hypertension in the Kondodewata health center working area with p value = 0.072.The conclusion of this study shows that nutritional knowledge and fat intake are related to the incidence of hypertension in the Kondodewata health center working area. Meanwhile, smoking behavior has no relationship with the incidence of hypertension in the Kondodewata Community Health Center working area. It is recommended that health workers in the Kondodewata health center work area provide education to the public regarding nutritional knowledge, fat consumption patterns and the dangers of smoking.

The main aim of this research is to dissect the influence of social media use on election preferences among Generation Z. By identifying patterns of interaction and exposure to political information through digital platforms, this research provides a sharper understanding of the role of social media in Generation Z. Z's political preferences in the environment. election in 2024. Therefore, it is hoped that this research will provide useful insights for politicians in designing effective and applicable political strategies to reach and understand Generation Z.    

Accurate rainfall prediction is needed to improve the performance of land that always uses rainfall data. Data mining or often called knowledge discovery in databases (KDD) is an activity that includes collecting, using historical data to find regularities, patterns or relationships in large data. In predicting rainfall, there are several conditions that can be observed as reference data to predict rainfall, namely wind speed, temperature, and air humidity. In this research, a backpropagation artificial neural network prediction method is developed that can be used in predicting future rainfall. The backpropogation artificial neural network method that was built produced an accuracy value of 95.36%, a precision value of 90.50%, a recall value of 97.50% and an f-measure value of 92.00%

This research aims to provide deeper insight into the historical dynamics and impact on the region. In analyzing the data, the authors used qualitative methods to understand more deeply the events and motivations behind the exodus of the Yemeni Hadrami Arab Community to Makassar. Primary data from historical documents and trade letters are analyzed narratively and interpreted to identify important patterns and events. Apart from that, secondary data is used to provide a broader picture of the role of the Arab Hadrami Community in Makassar at that time. The exodus of the Arab Hadrami Community to Makassar is an important event in Indonesian history. In the 17th century, they migrated from Hadramaut, Yemen, to Indonesia, especially South Sulawesi. Their goals included trade, the spread of Islam, education, and the formation of mixed families. Hadrami Arab traders brought various trade goods, such as silk cloth and spices, to trade with the local population. This trade had a significant impact on the local economy and helped make Makassar an important trading center.

PT Astra International BMW Semarang operates in the automotive sector, focusing on sales, aftersales, and spare parts for BMW cars. The availability of spare parts is crucial for customer satisfaction, as stock shortages can lead to disappointment. Using data from 52,162 spare parts sales transactions from January 2019 to June 2023, the study applies data mining techniques with the a priori and eclat algorithms to identify consumer purchasing patterns and prevent stock shortages. The research aims to provide recommendations for prioritizing spare parts stock. Utilizing the CRISP-DM methodology and R programming, the study found that the highest confidence in purchasing patterns occurs with a combination of three itemsets: if a customer buys an oil filter set (B11.42.8.593.186) and washer cleaner (B83.12.5.A1A.683), they will also buy BMW engine oil (Z99000000333) with 100% confidence. These findings can help PT Astra International BMW Semarang manage spare parts stock more effectively.

All PT Astra International BMW Semarang transactions are recorded in the database but the problem is that the stock management is  efficientless so  the part stock that buyers are interested is not available. This research aims to conduct a comparative mining results using the association rule with apriori algorithm for year 2021, 2022 and 2023 sales transaction dataset with total of 43.694 records using the Rstudio. Data mining process in each year uses the same parameters for each itemset combination. The best association pattern occurs in 2023 with support value 0.05913841 and confidence value 100%. This can be concluded that the rules formed from each year could be different eventhough using same parameters. The item that always appears in the association rule from 2021 – 2023is Z99000000333 (BMW Engine OIL) which is often purchased with items named “Set fil-oil” so it can be a recommendation for  item stocking  in the warehouse.

The main objectives are to identify emotion patterns hidden in K-Pop music based on audio features extracted from the Spotify API and to build an emotion classification model that can predict the emotions of K-Pop songs.In this approach, the K-Means algorithm is used to cluster K-Pop songs based on audio features such as energy, valence, tempo, danceability, and speechiness. The clustering results reveal several main groups that represent variations in musical characteristics and emotions. Next, the C4.5 algorithm was used to build an emotion classification model based on the clustering results. The C4.5 model showed high performance with accuracy reaching 99.48% on a 90:10 dataset split, 99.21% on an 80:20 split, and 98.95% on a 70:30 split.The Streamlit application was developed to visualize emotion predictions from K-Pop songs with a web-based user interface. In addition, Ngrok was used to provide remote access to this application, allowing users to test and use the application remotely.The results of this study show that the combination of K-Means and C4.5 can effectively cluster and classify emotions in K-Pop music, providing valuable insights into the musical characteristics that influence emotions. This application has the potential to be used in further analysis, development of intelligent features in music applications, and improvement of user experience in listening to K-Pop music.

Green Human Resource Management (GHRM) is a human resource management approach that is increasingly important in the context of organizational sustainability. Bibliometric studies highlight trends, patterns, and developments in GHRM research to provide insight into the contribution and evolution of this concept. This paper presents a bibliometric review of the GHRM literature, exploring research focus, methods used, and directions of development. Bibliometric analysis can help identify research gaps and provide a foundation for the development of more sustainable GHRM theory and practice in the future.

In old age, physiologically the body's cells can decline, resulting in decreased body function and endurance. One example is the urinary system which will affect changes or instability in the function of the urinary tract, so that the elderly will experience abnormal urination patterns. The management that can be carried out as an effort to restore the function of the urinary tract, especially the frequency of urination, is pelvic floor muscle exercise. Can analyze gerontic nursing care in the elderly to control decreased urinary tract function. This case study uses a descriptive method with a nursing process approach which was carried out on 3 patients using a one group pretest posttest research design. There was a change in the frequency of urination in the three respondents who had implemented pelvic floor muscle exercises. It is hoped that this nursing care report can become a reference in gerontic nursing care for the elderly with decreased urinary tract function.

The purpose of this research was to produce a worksheet based on problem-based learning that would enhance students' ability to communicate mathematically when working with number pattern content. The quality of this LKPD refers to the effective aspect. This research uses a type of research and development (R&D) with a model developed by Borg & Gall. The subjects in this research were students in class VIII-5 of SMP Negeri 1 Tanjung Morawa with a total of 27 students. The object of this research is teaching materials in the form of PBL-based LKPD. Teacher response questionnaires, student response questionnaires, expert validation sheets, teacher interview question sheets, and tests of mathematical communication competence were the tools employed. Based on the research results, the effectiveness of LKPD can be seen from the achievement of learning completeness with an average individual learning completeness of 88 and for classical completeness of 96.3%. So the LKPD developed is declared "effective". Students' mathematical communication abilities are at a percentage of 90.1%, at high criteria, and it can be noted that for the N-Gain assessment, results were obtained with a student average of 0.74, meaning that there was an increase in students' mathematical communication abilities with high criteria. So, based on the results, it can be concluded that the LKPD developed in this research is valid, effective, and can improve students' mathematical communication skills.

Diabetes mellitus, which is a non-communicable disease, can be prevented by utilizing the power of prevention. Diabetes mellitus prevention behavior includes various aspects such as healthy eating patterns, sufficient physical activity, and regular health checks. It is important for the public to understand the risk factors for diabetes mellitus in order to improve prevention and early detection efforts in at-risk community groups. The aim of this research is to analyze the relationship between factors that influence diabetes mellitus prevention behavior in Mtahuarjo Village, East Semarang District, Semarang City. This research uses quantitative methods using observational analytics and a cross-sectional approach. The population in this research is the people of Mlagiarjo Village aged 20-79 years. The research sample was 197 respondents. This research was analyzed using univariate tests and bivariate tests. The results of the research showed that there was a relationship between knowledge, diet, physical activity, family history, family support, support from health workers, and access to health services (P-value = 0.024) with diabetes mellitus prevention behavior in Mtahuarjo Village, East Semarang District, Semarang City. . However, there is no relationship between attitudes and diabetes mellitus prevention behavior in Mtahuarjo Village, East Semarang District, Semarang City. It is important for health workers to provide education regarding diabetes mellitus prevention behavior to the public.

The increasingly rapid development of the times has opened people's views to be more open to various kinds of world and national problems. Technology, which is one of the tools for thinking, has created innovative patterns of thinking in society that are mature in determining diverse perspectives and actions, as well as every outcome of views and attitudes that is permitted as long as it does not violate the rules and norms that have been regulated in state life. Customary forests are one of the categories of social forestry which are located in the living areas of local indigenous communities and can usually be found in inland areas. Customary forests are also regulated in Law Number 41 of 1999 concerning Forestry as stated in Article 1 number 6 "Customary forests are state forests that are within the territory of customary law communities." Conflicts between company interests and the rights of indigenous communities sometimes arise due to a lack of legal protection and unequal power, this is based on expansion which can be said to be irregular because quite a few mining companies expand mining areas outside the mine itself in order to exploit very natural resources. abundant in it.

Knowledge in the field of science is increasingly developing day by day following environmental conditions and human thinking. So science, especially in the field of science, should not be separated from religion. In the Al-Qur'an there are many verses that explain the process of human creation, such as in Surah Al-Hajj verse 5, Surah Al-Mukmin verse 67, Surah Az-Zumar verse 7, Surah Fathir verse 11, and many more. . someone can observe humans through biological observations. In the Qur'an, humans are often called "Basyar", where the word basyar is often compared to the biological characteristics of humans. Fingerprints are polygene inheritance. Based on Galton's system, fingerprints can be divided into 3 basic patterns, namely: curved shape or Arch (A), figure shape or Loop (L), and circle shape or Whorl (W). Finger tendrils can be widely used as a means of identifying a person, biological aspects. Human fingerprints vary from one person to another, even if they are identical twins. Apart from that, it can also be a feature of fingerprints and none of them are exactly the same because they are different from one individual to another.

This study aims to explore the application of authentic assessment by Indonesian teachers at various levels of education (elementary, junior high, high school) in Indonesia. The main problems discussed are the lack of critical thinking skills development in students and the challenges in the implementation of authentic assessment in the context of daily learning. The research method used is a qualitative approach with case studies as the main focus. Data was collected through in-depth interviews, direct classroom observations, and analysis of documents such as Learning Implementation Plans (RPPs) and student portfolios. The results of the thematic analysis highlight general patterns, key themes, and conclusions related to the benefits, challenges, and strategies in implementing authentic assessments. This research is expected to provide in-depth insights into the effectiveness of authentic assessment in improving Indonesian learning in Indonesia.

This study aims to explore the symbolic meaning of life in local wisdom with a focus on farming families in Setupatok Mundu Cirebon. Researchers explored this study using qualitative research, through a non-participatory observation approach. The results showed that life in a symbolic context is defined as the way they interact with the outdoors as a form of adjustment to fulfill their needs. Elements of local wisdom are also emphasized through the habitual patterns of Setupatok farmers in the use of their agricultural system which relies on traditional tools. By enjoying the crops owned by farming families, this research symbolically interprets life in the outdoors. This research provides a comprehensive understanding of symbolic interaction, defining symbolic interaction as our attempt to understand human behavior based on their own point of view.