Sufferers with diabetes want to well recognize the threat of diabetic headaches and the shape of the Health Belief Model (HBM) with recognize to constructs suitable for intervention. This study aims to determine the effect of the health belief model on the prevention of type 2 diabetes mellitus in fertile age couple. The research design was cross sectional. The research sample was fertile age couple who are in the area of Depok City, West Java as many as 399 respondents. Data analysis used a structural equation modeling approach with the partial least squares method. The results showed that there was a perceived effect on the prevention of type-2 diabetes mellitus with a t-statistic of 13.331880, there was an effect of self-efficacy on the prevention of type-2 diabetes mellitus with a t-statistic of 2.221879, there was an effect of cues to action on the prevention of type-2 diabetes mellitus with a t-statistic of 2.482949, and the perceived indicator that has the most influence on the prevention of type-2 diabetes mellitus was barriers with a t-statistic of 180.528565. Based on the value of R2, the magnitude of the effect of perceived, self-efficacy, and cues to action on the prevention of type-2 diabetes mellitus was 89.52%. From the Q2 value, the model in this study has a relevant predictive value, where the model used can explain the information contained in the research data by 89.52%. There was an effect of health belief model on the prevention of type 2 diabetes mellitus in fertile age couple. Another dominant variable that influences the prevention of type 2 diabetes mellitus in fertile age couple was perceived and on indicators of barriers.

Generation Z, which includes individuals born between the mid-1990s and the early 2010s, faces various significant social and economic challenges in the modern context. This journal explores key issues faced by Gen Z, including mental health, education costs, job market uncertainty, and social isolation. Additionally, the research identifies the impact of social media and changing social values on their well-being. Through in-depth analysis, this journal proposes a series of mitigation strategies, such as enhancing financial education, improving access to mental health services, and providing skills training relevant to industry needs. By focusing on implementable solutions, this journal aims to offer valuable insights for educators, policymakers, and society in supporting Generation Z in navigating the complex challenges of the digital era.

The purpose of this study is to determine the legal protection of lenders in Sharia P2PL, which is trying to offer an improved concept of legal protection at POJK No.10/ OJK.05 / 2022. The novelty of this research is the aspect of legal protection from the lender's perspective. This research method uses empirical juridical research through primary data interviews with lenders and observation of providers, including Dana Syariah, Alami Syariah, Ammana, Duha Syariah, Qazwa, Ethics, Investree Syariah, and Papitupi Syariah. The results of this study indicate that financing by lenders in Sharia peer-to-peer lending, the organizers have implemented article 100 of POJK Number 10/POJK.05/2022, including the principles of transparency, fair treatment, as well as confidentiality and security of consumer data. Several factors, such as facilities, community, and culture, support this. This indicates efforts to improve legal protection from lender perspective. However, other consumer protection principles, including the principles of reliability and complaint handling and simple, fast, affordable consumer dispute resolution, still need to be improved. Eventually, there are suggested concept that can increase legal protection for lenders in terms of the obligation to use insurance and also the use of fiduciary guarantees to further increase legal protection for lenders. 

This study was conducted to determine the factors that influence the farmer's exchange rate (the ratio of the price index received by farmers to the price index paid by farmers) in the food crops sub-sector in Riau Province. The data collected in this study is data published by the Central Statistics Agency of Riau Province. The data obtained were then analyzed using SPSS 22. The test results show that the level of expenditure has a negative and significant effect on the exchange rate of farmers in the food crop sub-sector, this can be seen from the value of tcount (-2.475) < ttable (2.44691) with a significant value of 0.048 < 0.05. Harvested area has a significant positive effect on the exchange rate of farmers in the food crop sub-sector, this can be seen from the value of tcount (4.441) < ttable (2.44691) with a significant value of 0.004 <0.05. Meanwhile, the food import variable has no significant effect on the exchange rate of farmers in the food crop sub-sector, this can be seen from the value of tcount (2.273) < ttable (2.44691) with a significant value of 0.063 > 0.05, with a value of Fcount (12.476) > Ftable , (4,35).

This study was conducted to determine the effect of non-performing loans and the effect of bank interest rates on the performance of a bank with net income in the range of 2013 to 2019. This study uses SPSS and interviews as primary instruments in obtaining and analyzing data, the results of this study is that NPL has no significant effect on Bank Mega's net profit, and Bank Indonesia's interest rate also does not have a significant effect on Bank Mega's net profit, then it is also found that NPL and Bank Indonesia's Interest Rate simultaneously contribute 9.3% to profit Bank Mega's net and the remaining 90.7% is influenced by other unknown factors. 
 
Keywords: Non Performing Loan, Bank Indonesia interest rate, net profit

This study was conducted to determine the factors that influence the farmer's exchange rate (the ratio of the price index received by farmers to the price index paid by farmers) in the food crops sub-sector in Riau Province. The data collected in this study is data published by the Central Statistics Agency of Riau Province. The data obtained were then analyzed using SPSS 22. The test results show that the level of expenditure has a negative and significant effect on the exchange rate of farmers in the food crop sub-sector, this can be seen from the value of tcount (-2.475) < ttable (2.44691) with a significant value of 0.048 < 0.05. Harvested area has a significant positive effect on the exchange rate of farmers in the food crop sub-sector, this can be seen from the value of tcount (4.441) < ttable (2.44691) with a significant value of 0.004 <0.05. Meanwhile, the food import variable has no significant effect on the exchange rate of farmers in the food crop sub-sector, this can be seen from the value of tcount (2.273) < ttable (2.44691) with a significant value of 0.063 > 0.05, with a value of Fcount (12.476) > Ftable , (4,35).
 
Keywords: Farmer's Exchange Rate, Food Crops Subsector.

This study aims to analyze the effect of Return on Assets, Return On Equity anda Deb to Equity Ratio on the value of LQ45 companies listed on the Indonesia Stock Exchange 2014-2018. When the research was conducted in November-December 2020. The data used in this study are secondary data in the form of datafrom the companies 2014-2018 financial statemens obtained from Indonesia stock exchange. The research population is LQ45 companies listed on the Indo-nesia stock exchange (IDX) from 2014-2018. The sample of this research is 13 companies, the sampling technique uses purposive sampling method and that meets the sample selection criteria. The data analysis technique uses Multiple Regresision Test. Retur on asset has a positive and significant effect on firm value. Return On Equity Has no Significant and Positive Effect on Firm Value. Debt to Equity Ratio has a significant and positive effect on firm value

In data mining a series of processes are applied to extract information from a data set. PT. XYZ which has a lot of sales data that can be processed. In the company PT. XYZ which is engaged in the retail sector which has tight competition and develops rapidly, customer satisfaction is one of the things that need to be considered. It takes more than product quality, but service to customers is also important to win competition in sales and one that can be considered in customer satisfaction is the availability of products that customers want. Use of Clustering Method to classify objects based on similarity in characteristics, especially one of fuzzy clustering, that is, fuzzy C-means can be used to determine the distance and presence of each point in a cluster. In this study, fuzzy C-means is applied in determining the supporting warehouse of PT. XYZ is based on the clustering location of PT. XYZ which is represented as the Cartesian coordinates and the centroid of each cluster refers to the location of the supporting warehouse along with the grouping of outlets with the supporting warehouse.Using 3 clusters in 100 iterations the difference in objective function is 3.3e-8%, while the experiment using 4 clusters requires 39 iterations with an objective function difference of 1.1e-12%,then themore number of clusters will minimize the difference in objective functions for results with smaller errors.