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This research aims to fulfill one of the many research proposals for health and recreation physical education and also aims to determine the results of tests for the validity and reliability of physical conditions in athletes with total visual impairment at the 2023 JABAR Pelatda. The approach used in this research is a qualitative approach. In this research, the author used a total sampling technique, namely the entire population of 8 people. The results of this study can be concluded that the validity of the flexibility test (sit and reach) has a high interpretation. And the reliability is high because the reliability value is above 15 so it can be said to be high reliability

Faisal Islamic Hospital Makassar currently has good service quality on the interest in repeat visits to outpatients in polyclinics with an increasing number of outpatient visits. However, there are also services that are desired by patients and families of patients so that the service is said to be bad. This is felt by patients visiting the hospital, namely the better the services provided where before the researchers conducted the research there were still many shortcomings in the form of medical devices and irregular service hours. Where the quality of service can also be said to be good if the service provided is in accordance with what the patient wants and can be said to be satisfactory service. Therefore, to increase the number of patient visits, the hospital tries to provide quality service so that patients feel satisfied. Revisit interest is the behavior that occurs in response to a service that shows the customer's desire to revisit the hospital. This study aims to determine the quality of service and its effect on outpatient revisit interest in polyclinics at Faisal Makassar Islamic Hospital. The population in this study was 750 patients and the sample size was 254 patients who made a repeat visit at the polyclinic of the Faisal Islamic Hospital Makassar. The results of this study are the level of repeat visits on an outpatient basis at the Faisal Makassar Islamic Hospital can be seen from the aspects of tangible (physical evidence) of good value, reliability (reliability) of good value, responsiveness (responsiveness) of good value, assurance (certainty) of good value, and empathy (empathy) of good value.

This study aims to analyze the influence of Love of Money, Intellectual Intelligence, Emotional Intelligence, and Spiritual Intelligence Influence Students Perceptions of Accounting Professional Ethics. The objects of this study are students of the Accounting study program from Panca Budi Development University and the University of North Sumatra. This study uses a quantitative approach with an associative research type. The research population consists of students from the 2020 to 2022 intake with a total of 1,647 people, including 467 students from Panca Budi Development University and 1,180 students from the University of North Sumatra. The sample was determined using the Slovin formula, so that 94 respondents were obtained as research samples. The data used consists of primary and secondary data. Primary data was collected by distributing questionnaires to respondents, while secondary data was obtained from various sources such as reports, books, documents, and relevant scientific publications. Data analysis was carried out using SPSS software version 25. Analysis techniques include descriptive statistical analysis, validity and reliability tests, and classical assumption tests that include normality, multicollinearity, and heteroscedasticity. Furthermore, multiple linear regression analysis was conducted and hypothesis testing was carried out using the t-test and coefficient of determination (R²). The results of the study indicate that partially, the variables Love of Money, Intellectual Intelligence, Emotional Intelligence, and Spiritual Intelligence have a positive and significant Influence Students Perceptions of Accounting Professional Ethics.

This study aims to determine the effect of push-up exercise on free throw shooting performance in male students of the basketball extracurricular at SMAN 1 Patokbeusi. The type of research is experimental, with a research design using a “One-Group pretest-posttest design” to observe the impact of the push-up treatment on free throw shooting performance. The population in this study consists of 12 male students from the basketball extracurricular at SMAN 1 Patokbeusi, all of whom were selected as the sample. The instrument used is a free throw shooting test, with a validity of 0.890 and reliability of 0.880. Data analysis was conducted using a t-test at a 5% significance level. The analysis results show “There is an effect of push-up exercise on free throw shooting performance in male students of the basketball extracurricular at SMAN 1 Patokbeusi,” with a t-value of 16.258 > t-table value of 2.201 and a significant value of 0.000 < 0.05.

This study aims to analyze the application of Deep Neural Networks (DNN) as an artificial intelligence approach in processing weather data to support more accurate and stable climate predictions. Increasingly unpredictable and fluctuating weather patterns demand modern analytical methods capable of capturing non-linear relationships among atmospheric variables. DNN is utilized due to its ability to learn complex data structures through multilayer representations that extract deeper features from input variables. Weather data such as temperature, humidity, rainfall, air pressure, and wind speed are processed through several preprocessing stages to ensure optimal model performance. This research employs a descriptive qualitative method based on literature studies to examine the role of DNN in weather prediction systems. The findings indicate that DNN demonstrates strong generalization abilities, robustness to fluctuating data, and more stable predictive outputs compared to conventional statistical approaches. Thus, DNN is considered a promising component for the development of early warning systems and modern data-driven climate analysis, offering improved reliability in understanding and forecasting atmospheric conditions.

Currently, people are beginning to realize that housewives actually have a role in moving the wheels of the economy and are able to achieve financial prosperity. This study uses an explanatory approach. The population in this study is female MSME actors in Bantul Regency under the guidance of related agencies. The sample in this study is 99 samples. Hypothesis testing is carried out in two stages. The first stage is testing the instrument by testing its validity and reliability. The next stage is hypothesis testing. then Mediation Test. The analysis tool using Smart PLS. shows that Income intention plays a role in influencing Financial Well-Being with a P-Value of 0.002. In addition, Income intention affects Household Behavior with a P-Value of 0.001. Household Behavior has an effect on Financial Well-Being with a P-Value of 0.000. and the mediation test showed that household behavior was able to mediate the relationship between the ability of Income intention in achieving Financial Well-Being. In addition, if a person's Income intention is balanced with the ability to control household behavior in controlling finances and saving, it will have a good impact on Financial Well-Being.

This research aims to analyze the influence of Service Quality and Price on Customer Loyalty at Red Chilies Hotel Solo. The method used in this research is quantitative with data collected through questionnaires to hotel customers and processed using SPSS 26. The total number of respondents was 99 people. The data analysis techniques applied include validity, reliability, normality, multicollinearity, heteroscedasticity, multiple linear regression, coefficient of determination, and F and T tests to determine the relationship between variables. The research results show that Service Quality (X1) and Price (X2)  have an effect on Customer Loyalty (Y), proven through a significant T test of more than 0.05 and a calculated r value that is greater than r table 1.661.

Cryptocurrency has become a new trend in the world of digital finance, but its adoption is still limited among the public. This study aims to analyze the effect of perceived benefits and trust on cryptocurrency purchase intention among students of Bina Sarana Informatika Margonda University. A quantitative approach was used by distributing questionnaires to student respondents. Data processing uses the SPSS 25 application and data analysis is carried out by testing validity, reliability, classical assumptions, multiple linear regression, hypothesis testing and the coefficient of determination. The results showed that partially perceived benefits had no effect, while trust was proven to have an influence. Simultaneously, perceived benefits and trust affect cryptocurrency purchase intention. The findings imply the importance of increasing understanding of the benefits and building public trust, especially students, in cryptocurrency to encourage the adoption of this technology. This research also highlights the need for further education on the potential and risks of cryptocurrencies, as well as the development of supportive regulations to increase trust and adoption among students and the general public

Integrating modern leadership approaches with local wisdom remains a challenge in enhancing the quality of education in Indonesian higher education institutions. This study examines the impact of integrating instructional leadership with ethnopedagogy based on the Dalihan Na Tolu philosophy on learning quality at Graha Nusantara University. Using a mixed-method approach with a sequential explanatory design, the study involved 50 lecturers selected through systematic random sampling and 100 students. Data were collected through validated questionnaires (validity coefficients ranging from 0.72 to 0.89; reliability with Cronbach's Alpha of 0.88), in-depth interviews, and participatory observations. The findings reveal that instructional leadership independently accounts for 67 percent of the variation in learning quality (coefficient of determination, R-squared = 0.670, with p < 0.001), with key determinants being guidance (correlation coefficient = 0.820) and vision-mission communication (correlation coefficient = 0.790). Ethnopedagogical leadership contributes significantly through the values of Somba Marhula-hula (regression coefficient = 0.45), Manat Mardongan Tubu (regression coefficient = 0.41), and Elek Marboru (regression coefficient = 0.38). The integration of these approaches produces significant synergistic effects (R-squared = 0.830), resulting in a 70 percent increase in active interaction, a 68 percent improvement in the effectiveness of learning strategies, and a 66 percent boost in productivity. This study contributes to developing an integrated leadership model that combines modern values with local wisdom. It also provides practical implications for designing training programs and implementing dual-approach monitoring systems in higher education institutions.

This study aims to find out and test the influence of PDAM service quality, PDAM tariff and PDAM payment place on PDAM payment receipts. This research was conducted with a quantitative approach. The type of data in the form is primary data with questionnaires. The study population is PDAM customers in Brebes Regency.  The determination of the number of samples in this study with the Slovin formula obtained 98 responses. The respondents' answer data was tested with validity and reliability tests. It is then tested with a classical assumption test. The data analysis technique was carried out by multiple regression test The results of the study showed that the quality of PDAM services partially affected the receipt of PDAM payments obtained a sig value = 0.000 < 0.05. Partially, the PDAM tariff affects the receipt of PDAM payments, obtaining a sig value = 0.000 < 0.05. Partially, the place where PDAM payments affect the receipt of PDAM payments obtained a sig value = 0.001 < 0.05. Simultaneously, the quality of PDAM services, PDAM tariffs and PDAM payment places affect PDAM payment receipts.

This study evaluates the impact of distributed solar-battery systems on urban electricity resilience and community carbon emissions reduction. As urban areas continue to grow, the demand for electricity has placed considerable strain on traditional centralized grids, resulting in increased vulnerabilities. The integration of decentralized energy resources (DERs), particularly solar photovoltaic (PV) systems paired with battery energy storage systems (BESS), has emerged as a promising solution to enhance grid resilience, reduce carbon emissions, and support the transition to more sustainable energy systems. This research uses a simulation-based approach to model the integration of solar-battery systems into residential blocks, assessing their impact on grid reliability, downtime reduction, and the frequency of power outages. Additionally, the study estimates the reduction in carbon dioxide (CO₂) emissions achieved by shifting from fossil-fuel-based energy generation to renewable sources such as solar PV. The results demonstrate that solar-battery systems significantly improve electricity reliability by providing backup power during outages, while also reducing CO₂ emissions by decreasing reliance on conventional grids. The study also discusses the technical and financial challenges associated with the integration of these systems, such as energy storage capacity, system efficiency, and upfront installation costs. Policy recommendations emphasize the importance of government incentives, grid modernization, and long-term financial benefits to encourage the adoption of decentralized energy solutions. Finally, the study highlights areas for future research, including advanced storage technologies and the integration of electric vehicles with solar-battery systems to further enhance energy resilience and sustainability.

As industries increasingly integrate cloud-based Industrial Control Systems (ICS), the cyber threat landscape expands. While cloud computing offers scalability, cost efficiency, and remote accessibility, it also introduces security vulnerabilities that adversaries can exploit. This study explores AI-driven threat detection models, encryption techniques, and best practices to enhance ICS resilience. Key security measures, including intrusion detection systems, anomaly detection, and robust encryption mechanisms, are analyzed to mitigate cyber risks. The findings highlight the effectiveness of AI-based security solutions in identifying and preventing attacks, ensuring the reliability and integrity of ICS in cloud environments.  

This research aims to determine the effect of service features and promotions on increasing users of Wondr by BNI services with user satisfaction as an intervening variable. This type of research is quantitative. The population in this study were BNI customers of the Medan Industrial Estate Branch Office who were registered and had used the new digital service application WONDR by BNI. The total population was 16,769 customers with a sample of 391 respondents. Data was collected by questionnaire with a Likert scale, validity testing, reliability and hypothesis testing were carried out using SmartPLS ver 4.0 software. The results show that service features have a significant direct effect on user satisfaction, service features have a direct effect on increasing the number of users, promotion has a direct effect on user satisfaction, promotion has a direct effect on increasing the number of users, user satisfaction has a direct effect on increasing the number of users, service features have an indirect effect on increasing the number of users through user satisfaction as an intervening variable, promotion has an indirect effect on increasing the number of users through user satisfaction as an intervening variable. These findings indicate that user satisfaction plays an important role in strengthening the effect of service features and promotions on increasing the number of service users. Therefore, to sustainably increase the number of users, Wondr by BNI needs to optimize service features that are responsive to user needs and implement promotional strategies that can increase user satisfaction and loyalty.

In 2022, a significant fire incident occurred at a steel tower structure in an industrial plant in Lampung, Indonesia, raising serious concerns about the structural integrity and serviceability of the affected steel framework. Fire exposure is known to alter the properties of steel, weaken bolt pretension, and cause defects in welds, underscoring the necessity of thorough post-fire assessments. Nondestructive testing (NDT) methods are crucial in evaluating the safety and stability of structures after fire exposure, as they can detect potential weaknesses without compromising the material further. This study employed two field inspection methods: the bolt torque test and dye penetrant inspection (DPI). A total of 21 bolts (Tor-1 to Tor-21) were tested for their integrity. The results showed that, while all bolts were present, more than half were found to be loosened, indicating the need for re-tightening to restore the specified torque and maintain the required preload for the bolted connections. In addition, 20 welded joints (DP-1 to DP-20) were examined using DPI to detect surface defects. The inspection revealed that 10 welds (50%) exhibited surface defects exceeding 5 mm in length, indicating areas where the welds had been compromised by the fire exposure. Seven welds (35%) were found to be in acceptable condition, while 2 welds (10%) were incomplete or had poor bonding. These findings suggest that while the bolted joints can be restored through corrective re-tightening, the welded joints require more extensive evaluation, local repairs, or even rewelding to ensure their structural integrity. This study highlights the importance of NDT methods in post-fire structural evaluations and recommends periodic inspections and targeted rehabilitation to ensure the long-term reliability and safety of industrial steel structures.

The development of information and communication technology has encouraged changes in consumer behavior, especially in online shopping activities through social commerce platforms such as TikTok shop live streaming. So an effective marketing strategy is needed, such as maximizing product visualization and attractive promotional offers to attract consumer attention and increase competitiveness in the digital market. This research aims to analyze the influence of online visual merchandising and flash sales on the impulse buying of TikTok shop live streaming users on the 3Second brand. Design/methodology/approach: The research uses quantitative methods with associative research type with a sample size of 100 respondents selected using a simple random sampling method from the population of followers of the TikTok account @its3second. Instrument quality testing includes validity testing and reliability testing. Data analysis uses descriptive analysis. Meanwhile, for hypothesis testing, multiple linear regression analysis is used. Results: The research results show that the online visual merchandising and flash sale variables have a positive and significant influence on the impulse buying of TikTok shop live streaming users on the 3Second brand with an R-Square value of 0.515. Research limitations/Implications: Research limitations lie in the method of collecting data through online questionnaires which has the potential to be biased and the implications of the research are encouraging increased product displays and flash sale strategies in live streaming marketing to increase interaction and purchases.  

This research aims to see whether group guidance using problem solving techniques can improve students' learning skills at Madrasah Aliyah Negeri (MAN) 3 Medan. This research uses quantitative methods with a quasi-experimental approach, non-equivalent control group design. In this design, both groups (experimental and control) underwent an initial test (pre-test) and a final test (post-test), but only the experimental group was given treatment, while the control group was not given treatment. The research population consisted of students in class X-1 (30 students) and X-2 (30 students). The sample was selected using a purposive sampling method, with a total of 16 students who had low learning skills, namely 8 students from the experimental group (class X-2) and 8 students from the control group (class X-1). The research instrument is a learning skills questionnaire with 26 statements whose validity and reliability have been tested. Data were analyzed using the T-test. The T-test results showed that the experimental group experienced an increase in learning skills, with a significance value of 0.000 < 0.05. This means that problem solving techniques are effective in improving students' learning skills. In contrast, the control group did not show a significant increase in learning skills, with a significance value of 0.022 > 0.05. The results of the independent sample t-test show a significance value (2-tailed) of 0.000 <0.05, which means there are differences in students' learning skills before and after being given services in the experimental group.

PT. Dian Swastatika Sentosa generates electricity through a private thermal power plant. This company produces steam and electricity for paper mills. The company hopes to meet its steam and electricity needs in 2023 with a boiler with a load capacity of 180 tons and a maximum capacity of 220 tons. However, from February to July 2023, that goal was not achieved. The most common problems faced by this company are the failure to conduct preventive inspections and timely machine maintenance, as well as the failure to carry out necessary repairs. Delays in machine repairs, which result in inconsistent machine downtime schedules to meet customer demand, leading to damage to boiler equipment, causing abnormal boiler operation and reduced steam production. This research aims to design equipment to withstand operational impacts using failure mode and effects analysis (FMEA) with the Soft Systems Methodology (SSM) and reliability-centered maintenance (RCM) techniques. The RCM method assists in identifying the processes that must be followed to guarantee that a machine or system performs as intended. RCM can also be used to design, choose, and create alternative maintenance methods that are focused on safety, operations, standards, and economics. For the entire problem in the investigation, a dynamic model is necessary. An analytical system is used in this model in order to recognize and duplicate the features of the overall system., as well as to provide repair solutions and address the burden of the problem. This research produces a presentation in the form of problem identification, causal loops, diagrams of machines that frequently experience failures, rich images of the causes and effects of the ball plate crusher liner damage, root cause definitions, and conceptual models for repair and maintenance. business productivity and debating process. 

This study aims to determine the effect of price and trust on consumer satisfaction in J&T Express delivery services in Kediri City. This type of research is quantitative research. The data for this study were obtained through primary and secondary data. The population in this study were consumers of J&T Express in Kediri City. The sample in this study was 100 consumers with the sampling technique using accidental sampling. The analysis techniques used were validity testing, reliability testing, classical assumption testing, multiple linear regression analysis and hypothesis testing. The results of the study showed that the partial t-test results of the price and trust variables influenced consumer satisfaction. The results of the simultaneous F-test showed that price and trust influenced consumer satisfaction.

This study aims to test and analyze the effect of human resource information systems, training, and motivation on employee performance through work discipline as an intervening variable. Employee performance in a company is influenced by several aspects, one of which is the human resource information system, training, motivation and work discipline. Human resource information systems are technological systems that produce information outputs that support reliable decisions and are able to make it easier for workers to complete their responsibilities. Then training is carried out according to the needs of employees balanced by motivation. The discipline aspect also provides important things for success in improving employee performance. The research location is at PT.Socfin Indonesia (Socfindo) Medan located at JL.KL. Yos Sudarso No.106. Medan. Where the linear regression analysis method and sample testing researchers in this study used the slovin formula. As a sample of 150 permanent employees and 30 respondents as validity and reliability tests. The classic assumption test and hypothesis testing (path analysis technique). Based on the results of hypothesis testing in this study, it shows that human resource information systems, training, motivation simultaneously have a positive and significant effect on work discipline. And simultaneously the variables of human resource information systems, training, and motivation have a positive and insignificant effect on employee performance. While work discipline has a positive and significant effect on employee performance. Furthermore, the variables of human resource information systems, training, motivation have a positive and significant effect on employee performance through work discipline as an intervening variable on employees of PT Socfin Indonesia (SOCFINDO) Medan.

Adult and adolescent women generally experience the gynecological condition of dysmenorrhea which causes discomfort during daily physical activities. Improper treatment of menstrual cramps can cause more serious problems, such as prolonged pain and even the development of new diseases due to side effects of the drugs used. The aim of this research is to determine the behavior of choosing drugs which is influenced by the level of knowledge about dysmenorrhea medication among young women in a junior high school in Bengkulu Province. This type of research uses descriptive quantitative with a cross sectional approach with variables of knowledge and self-medication behavior for dysmenorrhea. Data were collected using a purposive sampling technique with the Slovin formula for 60 samples from a population of 71 and a confidence level of 95%. Data was collected using a structured questionnaire which had previously been tested for validity and reliability. The results showed that in handling dysmenorrhea, 3.3% of teenagers did not take medication, 35% used chemical drugs, 61.6% used traditional drugs. The knowledge level measurement is 86% which is classified as good and the behavior level is classified as positive >15. It can be concluded that young women tend to choose traditional medicine as self-medication for treating dysmenorrhea.