This study aims to determine the influence of taste and price on consumer satisfaction in Rantauprapat Millennial Warkop. This type of research is associative research. Data collection in this study was carried out through a survey approach with a type of quantitative descriptive research by distributing questionnaires to 100 respondents, while the population used in this study was millennial warkop customers of Rantauprapat. Data collection techniques are carried out by interviews, questionnaires and documentation studies. The data analysis tool used in this study uses SPSS. The data analysis technique in this study is descriptive analysis. The results of this study show that taste and price affect customer satisfaction at Rantauprapat Millennial Warkop. 
 

This study aims to see at the Effect of Religiosity and Self-Compassion on Subjective Well-Being in Sophomore. This research uses a quantitative approach. The measuring instruments used in this study are religiosity scale, self-compassion scale, and subjective well-being scale. This study involved 105 sophomores. The sampling technique in this study used purposive sampling using the criteria of sophomores. The data analysis technique used in this study was multiple regression test. The results of this study indicate that there is a significant influence between religiosity and self-compassion on subjective well-being by 22,4%. This research shows that religiosity has a stronger influence than self-compassion, this is because self-compassion focuses on perceived emotional problems, while improving subjective well-being may require solving the problem first.

This research aims to measure the influence of Auditor Experience, Audit Fees and Independence on Audit Quality at Public Accounting Firms (KAP) in the Bekasi Region. This research was conducted using a non-probability sampling approach with a purposive sampling method. The number of samples used in this research was 62 respondents. The design used in this research is hypothesis testing using the Structural Equitation Model (SEM) - SmartPLS 4.0. The results of this research indicate that (1) Auditor experience has a positive effect on audit quality; (2) Audit Fees have no effect on audit quality; (3) Independence has a positive influence on audit quality.
 

Accurate and transparent financial reporting is crucial in building investor trust and ensuring the confidence of other stakeholders. However, earnings management remains a key concern in accounting and finance as it affects the quality of financial information and economic decision-making. This study aims to analyze the influence of Capital Intensity, Managerial Ownership, and Profitability on Earnings Management, with Firm Size as a moderating variable. Using a quantitative approach with the deducto hypothetico verifikatif method, this study empirically tests hypotheses through inferential statistical analysis. The results show that Capital Intensity and Managerial Ownership have a negative effect on Earnings Management, while Profitability has a positive effect. Furthermore, Firm Size does not moderate the effect of Capital Intensity on Earnings Management but weakens the influence of Managerial Ownership and strengthens the effect of Profitability on Earnings Management. This study is expected to provide insights for investors, managers, and regulators in understanding the factors influencing earnings management practices and their implications for financial reporting quality.

Hypertension is a disease that occurs to arteries that causes the supply of oxygen and nutrition that the body needs to be blocked. Hypertension is often called a silent killer, because it is a kind of disease that is very harmful but comes without awareness to its victim. People with hypertension in average are up to 40 years old and it happened all of his after life . In common hypertension caused by heredity, unhealthy lifestyle, and triggered by the more salty consumption, alcohol and stress. An expert system could be the solution to solve the problem because this system works just like an expert and was created by the naïve Bayes method with the rules and basic system that are the same just like the hyperantion desease. Through this application, users can consult with this system just like usually people consult with the expert to diagnose the sign that happened to the user and find the solution of what happened to themselves.

Hypertension in pregnancy is one of the leading causes of maternal mortality, with a global prevalence of 5–10% (Khedagi & Bello, 2021). This study aims to analyze the effect of reproductive status—maternal age, gravidity, and parity—on the incidence of hypertension in pregnancy at Prof. Dr. Chairuddin P. Lubis Educational Hospital, Medan. A case-control design was employed with 96 respondents, consisting of 48 cases and 48 controls. Bivariate analysis revealed that pregnant women aged ?35 years have a 2.839-fold higher risk of developing hypertension compared to those aged <35 years (OR=2.839; 95% CI: 1.123–7.177; p=0.027). First pregnancy (primigravida) increases the risk by 2.742 times compared to multigravida (OR=2.742; 95% CI: 1.047–7.178; p=0.040), while nulliparous women have a 2.714-fold higher risk compared to those who have given birth (OR=2.714; 95% CI: 1.101–6.693; p=0.030). Multivariate analysis identified maternal age ?35 years and nulliparity as the most significant predictors (p=0.005). These findings align with studies by Wiranto & Putriningtyas (2021), Hinkosa et al. (2020), and Luo et al. (2020), which confirmed that advanced maternal age and nulliparity increase the risk of pregnancy complications. The novelty of this research lies in integrating all three reproductive status factors as simultaneous predictors of hypertension risk, providing a new perspective compared to previous studies focused on single variables. Based on these findings, early detection and targeted health education for high-risk mothers are strongly recommended.

This research aims to increase knowledge and skills in the futsal sports training program at SMA Negeri 3 Sentani. The PkM activity involved 20 participants with a focus on increasing understanding and skills in the quality of futsal game techniques and tactics. The methods used include explaining theoretical understanding, applying theory, as well as direct practice sessions to improve participants' understanding and skills. The results of the activity showed that 3 people or 15% of participants had a good understanding of the pretest, while 17 people or 85% of participants had limited understanding. After participating in the program, the posttest results showed a significant improvement where 18 people or 90% gained good understanding, while only 2 people or 10% still needed additional understanding. The implication of this activity is that it is hoped that teachers who take part in the training will gain increased competence in designing and implementing futsal training programs, so that they can develop students more effectively, improve school achievement, and enrich PJOK learning methods

The development of computer technology helps many aspects of life. One aspect of life that takes advantage of technological developments is the health sector, in order to solve problems including brain tumors. Brain Tumor Disease is the growth of abnormal cells in or around the brain in an unnatural and uncontrolled manner. Patients with brain tumors continue to increase every year, because the initial symptoms are often underestimated. Therefore created a software that can help diagnose brain tumors using the certainty factor method

This research aims to determine the effect of Working Capital, Production Costs, Sales and Total Debt on Net Profit in Food and Beverage Sub-Sector Manufacturing Companies Listed on the Indonesia Stock Exchange for the 2019-2023 Period. The type of research used is quantitative using secondary data, namely financial reports. The sampling technique used was purposive sampling. Of the 95 companies, only 24 companies met certain criteria. The analysis model used is multiple linear regression analysis which was tested with IBM Statistics Product and Solution (SPSS) Version 25. The research results show that partially Working Capital has a positive and significant effect on Net Profit. Production and Sales Costs do not have a significant effect on Net Profit. Total Debt has a positive and significant effect on Net Profit.

Purpose: Mango production can be severely impacted by diseases affecting mango plants. By leveraging artificial intelligence, the agricultural sector can automate the analysis of mango leaves to monitor plant health. The goal of this research is to improve the early detection of diseases in mango leaves to allow early treatment to minimize damage to the crops.
Methods: This study employs an approach of combining two pre-trained CNN architectures, namely MobileNetV2 and DenseNet201 through concatenation method. To enhance the model’s generalization ability, various image augmentation techniques were applied during the training phase.
Result: The model developed in this study achieved great performance in classifying mango leaf diseases with a testing accuracy of 99.25%. This result indicates the effectiveness of the concatenation method by outperforming the accuracy of either MobileNetV2 or DenseNet201 when implemented separately.
Novelty: This research introduces a novel strategy by concatenating two pre-trained CNN architectures for mango leaf disease classification, a method not previously explored in this context. The model developed from this study has the potential to serve as a tool for the early detection and treatment of mango leaf diseases.