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Bag inspection aims to ensure compliance with baggage regulations for flight safety. However, it was found that some officers were not meticulous and acted unfairly during the bag inspection process. The lack of responsiveness and minimal empathy from the officers will affect passenger satisfaction. This condition indicates the need for improvement in performance and service quality to maintain passenger satisfaction and the company's image. This research uses a quantitative method, with data collection techniques in the form of questionnaires. The study samples passengers using Citilink Airlines at Juanda International Airport Surabaya, totaling 100 respondents. The data analysis techniques used include instrument testing, classical assumption testing, multiple linear regression equations, hypothesis testing, and the coefficient of determination using the SPSS (Statistical Product and Service Solutions) application. The research results show that performance and service quality have a positive and significant effect on passenger satisfaction of Citilink Airlines at Juanda International Airport Surabaya. The regression coefficients for performance are 0.479 and for service quality are 0.318, with significance values of 0.000 and 0.001, respectively (<0.1), as well as an F-test of 0.000 which indicates the simultaneous effect of both. The adjusted r square value of 0.494 indicates that 49.4% of passenger satisfaction is influenced by performance and service quality, while the remaining 50.6% is influenced by factors outside of the study.

In an era marked by intensifying business competition, marketing strategies such as price discounts and bundling packages play a crucial role in shaping consumer purchasing behavior. These approaches are commonly employed to capture consumer interest and boost sales performance. This study aims to ex-amine the influence of price discounts and bundling strategies on consumer purchasing decisions re-garding Kahf products in Bandar Lampung. The research utilizes both primary data, collected through questionnaires administered to respondents, and secondary data. The sample consists of 130 respond-ents selected using a non-probability sampling approach with a purposive sampling technique. Analyti-cal methods applied include validity and reliability tests, multiple linear regression analysis, and hypothe-sis testing through t-tests, F-tests, and the coefficient of determination (R²). The findings reveal that both price discounts and bundling packages exert a positive and statistically significant effect on con-sumer purchasing decisions for Kahf products in Bandar Lampung. These results underscore the im-portance of effective promotional strategies, such as compelling price reductions and value-enhancing bundling offers, in stimulating consumer purchases and enhancing product competitiveness in the mar-ket.

This study aims to analyze the effect of electronic word of mouth (e-WOM), perceived quality, and brand image on purchase intention of Somethinc products. The approach used is quantitative method, with a population consisting of students of the Faculty of Economics and Business, Trunojoyo University Madura who have seen reviews about Somethinc products and have interest or experience in using them. A total of 100 respondents were involved in this study, which was determined through purposive sampling technique. Data analysis was conducted using multiple linear regression. The findings show that e-WOM and perceived quality have a positive and significant effect on purchase intention, while brand image does not show a significant effect on consumer purchase intention.

This study aims to analyze the influence of discipline in congregational prayer and understanding of religious sermons (kultum) on the spiritual intelligence of 8th-grade students at SMPN 1 Jetis. Spiritual intelligence is important in shaping students' character and morals. However, several issues were identified, such as tardiness in congregational prayers, preference for sitting in the back rows, and lack of understanding of the messages conveyed in the sermons. This research employed a quantitative correlational non-experimental method with simple random sampling. Data collection was conducted through questionnaires and documentation.The results of the study show that: (1) Discipline in congregational prayer has a significant effect on spiritual intelligence, with the regression equation Y = 16.723 + 0.501X1, a P-value of 0.000 < 0.05, and an R² value of 21.4%; (2) Understanding of sermons also has a significant effect, with the equation Y = 22.301 + 0.341X1, a P-value of 0.000 < 0.05, and an R² value of 23.6%; (3) The combination of discipline in prayer and understanding of sermons has a simultaneous effect on spiritual intelligence with the model Y = 15.702 + 0.307X1 + 0.234X2, a P-value of 0.000 < 0.05, and an R² value of 29.3%. Therefore, improving discipline in prayer and understanding of sermons can enhance spiritual intelligence.

This study aims to analyze the extent of the influence of influencer marketing, brand trust, and price on buying interest in Skintific products for students of the Faculty of Economics and Business, Trunojoyo University Madura. This study uses a quantitative approach with a population of students who have watched the promotional content of Skintific products by influencers and have interest and experience in using these products. A total of 100 respondents were selected using purposive sampling method. Data was collected through distributing questionnaires and analyzed using multiple linear regression techniques. The research findings indicate that influencer marketing does not have a significant influence on purchase intention. In contrast, brand trust and price variables show a positive and significant influence on purchase intention of Skintific products.

This research aims to determine whether there is a relationship between mathematics learning outcomes and physics learning outcomes by taking the subject of exponent numbers in mathematics and the subject of temperature and heat in physics. This research was conducted on class X students at SMA Negeri 6 Tangerang in the second semester. The sample was taken at simple random (cluster sampling) by taking one class from nine existing classes with a total of 30 students. The method used is a survey method with correlation techniques. The independent variable in this research is the results of learning mathematics, while the dependent variable is the results of learning physics. Before the data is analyzed, the requirements test is first carried out, namely the normality test using the Lilliefors test and the regression significance test using analysis of variance (ANOVA). From the results of the normality test for the independent variable, it was obtained that L-count = 0,08770 < 0,161 = L-table, while for the dependent variable it was obtained that L-count = 0,1108 < 0,161 L-table, so it can be concluded that the two samples were normally distributed. The results of linear regression calculations are obtained  The linearity test obtained F-count 1,067 < 2,45 = F-table so it can be concluded that the regression model is linear, meaning there is a linear relationship between the two variables. The regression significance test obtained F=count = 34,732 > 4,20 = F-table. This means that the regression model is significant. Hypothesis testing was carried out using product moment correlation analysis, then calculating the significance of the correlation using the student t-test. The results of the correlation coefficient calculation obtained r-count = 0,744 and the results of the t-student test calculation obtained t-count = 5,892, while the t-table value with a significance level of  α=0,05 and degrees of freedom (dk) = 28  was 2,05. Because t-count = 5,892 < 2,05 = t-table means Ho is rejected. So the results of this research conclude that there is a relationship between mathematics learning outcomes and physics learning outcomes. The coefficient of determination (r2) was obtained at 0,554. This means that mathematics learning outcomes contribute 55,4% to physics learning outcomes.

Noni (Morinda citrifolia L. (Rubiaceae) is a medicinal plant that contains bioactive compounds with antioxidant and antibacterial properties. More than 160 phytochemical components have been identified in noni plants, most of which are polyphenol and antioxidant compounds. The purpose of this study was to determine a mathematical model of thin-layer drying in maximizing the development that can identify the characteristics of noni fruit. This study used an experimental method with slicing thickness treatments, namely: 3 mm, 5 mm and 7 mm, the drying tool used was a cabinet dryer, different temperature treatments ranging from 45 oC, 55 oC and 65 oC, with different drying times, namely: 3 mm thickness for 14 hours, 5 mm thickness for 16 hours and 7 mm thickness for 17 hours. The observation data were analyzed using a mathematical approach to complete the calculation of the mathematical model, the moisture ratio value was applied to various mathematical models, namely: the Midili et al, Page, Henderson pabis, logarithmic, Newton and modified Page models. Determination of constant values ​​using Microsoft Excel Solver Tools with input each drying model or equation used and curve fitting is carried out using non-linear regression analysis. The thin-layer drying model is obtained by finding the constant values ​​k, a and n of each model so that the best model for thin-layer drying of noni fruit is the page model for all temperatures with an R2 value at a temperature of 45 oC of 0.995 (RMSE 0.003), the R2 value at a temperature of 55 oC is 0.993, (RMSE 0.001) and at a temperature of 65 oC the R2 value is 0.992 (RMSE 0.000).

This study aims to analyze the impact of deepfake content on the level of public trust in visual information on social media. Using a between-subjects experimental design, the study involved 20 active social media user respondents in Indonesia (aged 18-45 years) who were randomly divided into two groups: an experimental group (exposed to deepfake content) and a control group (exposed to original content). Data were collected through a questionnaire measuring three dimensions of trust: (1) perceived authenticity of the content, (2) source credibility, and (3) emotional impact. The t-test results showed significant differences (p < 0.05) between the two groups, with the deepfake group having lower trust scores on all dimensions (mean score: 2.4 vs. 4.2 for content authenticity; 2.8 vs. 4.4 for source credibility; 2.7 vs. 4.0 for emotional impact). Regression analysis revealed that education level (β = 0.35) and frequency of social media use (β = -0.27) significantly affected the level of trust. Pearson correlation findings also showed a strong positive relationship between perceived authenticity of content and trust levels (r = 0.72, p < 0.001). This study concludes that exposure to deepfake content significantly reduces public trust in visual information, with the effect compounded by intensive social media use and moderated by education level. The implication is that evidence-based media literacy strategies are needed to raise public awareness about deepfake technology, as well as stricter regulation of synthetic content on digital platforms.

In order to keep the educational process running smoothly in the face of the COVID-19 pandemic, several schools have turned to online learning platforms. In the context of LMSs, one of the most popular systems is Moodle. Focusing on SMPK PENABUR Depok in the post-COVID-19 era, this study seeks to ascertain the impact of Moodle on the efficacy of learning in educational institutions. The study employs a quantitative methodology to investigate the interrelationships of factors by means of student questionnaires and basic linear regression analysis. With a coefficient of determination of 61.1%, the data demonstrate that Moodle significantly and positively affects the effectiveness of learning. Despite some technological issues, such slow internet, Moodle has improved students' access to course materials, their ability to engage in class discussions, and their level of participation. According to these results, blended learning—which has recently emerged as a viable strategy—can benefit from the use of learning technologies like Moodle to raise the bar for educational excellence. The need of bolstering technological infrastructure and enhancing the quality of online learning platforms to improve the effectiveness of learning going forward is underscored by the implications of this study.

The property and real estate sector is one of the business sectors that makes a significant contribution to the country's economic turnover and growth. With the ever-evolving challenges, companies in the property and real estate sector must adapt their business strategies to remain competitive amidst uncertain market conditions. Therefore, innovation in resource management and efforts to enhance operational efficiency are essential to drive optimal profitability. This study aims to examine the effect of good corporate governance, proxied by the board of directors and audit committee, intellectual capital, firm size, and company growth on company profitability. This research utilizes secondary data sourced from the annual reports of property and real estate companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2023 period. The sample was selected using a purposive sampling method based on specific criteria, resulting in a total of 50 companies as observations. The collected data were analyzed using SPSS software with a multiple linear regression method. The results indicate that the board of directors, audit committee, intellectual capital, and company growth do not have a significant effect on company profitability, whereas firm size has a positive and significant effect on company profitability.

The purpose of this research is to examine the variables that affect stock prices in the commerce and service and consumer products industries that are listed on the Indonesia Stock Exchange.  This research study is quantitative in nature.  The information was taken from annual and financial reports that were posted on the websites of the individual companies as well as the Indonesia Stock Exchange's official website (www.idx.co.id).  The population consists of all 137 consumer products, commerce, and service businesses that were listed on the Indonesia Stock Exchange between 2009 and 2013.  Seventy-seven businesses satisfied the sample requirements based on preset criteria.  Multiple linear regression analysis was used to examine the data.  The findings demonstrate that the three sets of variables—systematic risk, macroeconomic indicators, and firm fundamentals—all significantly and favorably affect stock prices at the same time.  Stock prices are positively and significantly impacted by the following factors, in part: Return on Equity (ROE), Earnings per Share (EPS), Book Value (BV), Net Profit Margin (NPM), and inflation.  In contrast, the market beta, GDP, exchange rate, and BI rate have no discernible effects, but the debt to equity ratio (DER) has a negative and substantial influence.  With an Adjusted R Square value of 62.4%, the study's independent variables may account for a significant portion of stock price fluctuations, with additional factors outside the model influencing the remaining 37.6%.

This study aims to examine the influence of financial knowledge and financial attitude on financial management behavior in STAI Sangatta students, East Kutai. This study is a field research with a quantitative approach. Data were collected from 50 respondents using sampling techniques, and analyzed using validity and reliability tests, multiple linear regression tests, classical assumption tests (Normality, Heteroscedasticity, Linearity, Multicollinearity, Correlation Coefficient Test, Hypothesis (F and T Tests). Data analysis was carried out using SPSS software. The results of the study showed that financial knowledge and financial attitude together had a significant effect on financial management behavior, with a determination coefficient (R²) of 0.603. The F test showed a significance value of 0.000 ≤ 0.05 and F count 35.659 ≥ F table 4.034. The t test showed that financial knowledge had a significant effect on financial management behavior (t count 5.650 ≥ t table 1.677; significance 0.000 <0.05), while financial attitude did not have a significant effect (t count 1.472 <t table 1.677; significance 0.639 > 0.05). Thus, financial knowledge has an important role in shaping students' financial management behavior.

College students, as a group of young adults, often face life transitions that involve academic, emotional, social, and economic pressures. One of the effects of these pressures is smoking behavior. According to pre-survey data, most college students who are active smokers consume 5-10 cigarettes per day. These students admitted to having tried to quit smoking at least once, but their efforts were unsuccessful, and they returned to their old habits. This difficulty indicates challenges in self-control. Participants in this study were active smokers across Indonesia, with a minimum consumption of 5–10 cigarettes per day. This study is quantitative in nature, using a self-control scale and a nicotine dependence scale to determine the absence of self-control influence on nicotine addiction. Data analysis in this study was conducted using simple linear regression analysis, yielding a p-value of 0.070 (>0.05). Therefore, it was concluded that self-control does not significantly influence addiction in the study sample.

This research aims to examine the influence of professional ethics on the improvement of public accountants’ integrity in Indonesia. Professional ethics is a crucial element in maintaining the quality and credibility of audited financial statements. The study employs a quantitative descriptive approach, with data collected through questionnaires distributed to public accountants across various Public Accounting Firms (KAP) in Indonesia. Data analysis was conducted using simple linear regression. The results reveal that professional ethics—including principles such as integrity, objectivity, competence, confidentiality, and professional behavior—have a significant effect on the integrity of public accountants. A determination coefficient of 57.4% indicates that more than half of the variation in integrity can be explained by the application of professional ethics. These findings emphasize the critical role of ethical practices in strengthening public trust and supporting the stability of the national financial system. This study contributes to the development of ethical oversight and professional conduct standards for public accountants in Indonesia.

In the traditional commercial banking industry, this study attempts to provide empirical data about the impact of board size and gender diversity on business performance, using intellectual capital as a moderating variable. The research population includes all companies in the conventional commercial bank sector as many as 39 companies, with purposive sampling technique resulting in 36 companies as samples. The analysis methods used include descriptive statistical analysis, classical assumption test, multiple linear regression analysis, and moderation regression analysis. Multiple linear regression results demonstrate that board size significantly and favourably affects business success, while gender diversity has no significant effect. In addition, moderation regression analysis results demonstrate that intellectual capital can fortify the relationship between board size and company performance, but does not strengthen the connection between business performance and gender diversity.

This study aims to analyze the influence of core values of Morality, work facilities, and work- life balance on employee commitment, with mental well-being as a mediating variable. This study was conducted on employees in the Administrative Bureau of the Leadership of the Regional Secretariat of East Java Province using a quantitative approach. Data was collected through a questionnaire of 50 respondents and analyzed using regression tests and Sobel Test to test the mediation effect. The results of the study show that the core values of Ber-Akhlak in work, work facilities, and work-life balance have a positive and significant influence on mental well-being. In addition, mental well-being has a significant influence on employee commitment and mediates the relationship between the three independent variables and employee commitment. Work facilities provide the greatest mediation influence compared to the core values of Moral Character and Work-Life Balance, emphasizing the importance of the role of leaders in supporting the mental welfare of employees in carrying out their work. This finding gives implications that the Administrative Bureau of the Leadership of the Regional Secretariat of East Java Province can increase employee commitment by implementing the core value policy of Ber-Akhlak, supporting work-life balance, and strengthening work facilities. This research also contributes to the human resource management literature by offering a new perspective in supporting employee mental well-being as a strategic factor in increasing organizational loyalty.

This study aims to analyze the effect of tax sanctions, service quality, and tax socialization on individual taxpayer compliance. The population in this study consists of individual taxpayers registered at the Gianyar Primary Tax Office (KPP Pratama Gianyar), with a sample of 100 respondents determined using the Slovin formula. Data were collected by distributing questionnaires directly through Google Forms to respondents. The collected data were then tested and analyzed using multiple linear regression analysis with SPSS 26 for Windows. This research contributes positively to improving compliance in submitting annual tax returns (SPT) and can provide valuable input for the Gianyar Primary Tax Office regarding the importance of enforcing tax sanctions, improving service quality, and conducting effective tax socialization to encourage better annual tax reporting each year. The results of the analysis show that tax sanctions and service quality have a positive effect on individual taxpayer compliance, whereas tax socialization does not significantly affect individual taxpayer compliance.

This study aims to analyze the influence of tax knowledge and taxpayer awareness on tax compliance in the Micro, Small, and Medium Enterprises (MSMEs) sector. Tax compliance is a key factor in optimizing state revenue, particularly from the MSME sector, which significantly contributes to the national economy. This research employs a quantitative approach using a survey method targeting MSME actors in a specific region. Data were collected through questionnaires and analyzed using multiple linear regression. The results show that tax knowledge and taxpayer awareness have a positive and significant effect on tax compliance. The higher the level of knowledge and awareness of taxpayers, the higher their level of compliance in fulfilling tax obligations. These findings indicate the importance of continuous tax education and socialization to improve tax compliance in the MSME sector.

This study investigates the effect of environmental costs on the level of environmental information transparency in manufacturing companies in the basic materials subsector, while providing empirical evidence regarding the relationship. Environmental costs are calculated through the ratio of corporate social responsibility (CSR) burden to the organization's net profit. Meanwhile, the company's environmental performance is evaluated using the PROPER rating on an ordinal scale. The level of environmental coverage is measured comprehensively through the Clarkson index which covers various dimensions of existing reporting. A quantitative approach with multiple linear regression analysis is applied to test the relationship between variables. In selecting the sample, a purposive sampling technique was used by considering the completeness of the data and certain sector criteria, resulting in 35 companies as the final sample that met the analysis requirements. The results of the study revealed that an increase in environmental costs is directly proportional to a significant increase in environmental coverage. This indicates that company investment in environmental programs encourages more transparent reporting practices. In addition, environmental performance as reflected in the PROPER rating is also proven to have a positive and significant effect on the extent of environmental coverage.

The performance of data mining techniques has been proven accurate in many studies, but each method in data mining techniques has different accuracy depending on the type of data that is the object of research. Methods in data mining techniques are divided into several functions, namely: clustering, association, classification, and prediction, where each data mining technique objective has a superior method. Therefore, in this case the author will compare the performance of the multiple linear regression method, and neural networks with fuzzy mamdani in predicting the income of PLN Unit Takengon. In several studies, the Backpropagation method shows the highest accuracy compared to other methods. Then the prediction model with multiple linear regression also has the highest accuracy as well as the Fuzzy Mamdani method has high accuracy too. Therefore, the purpose of this study is to compare the three methods, so that it can be determined which method has a higher accuracy value. The results of this study indicate that the Back propagation method has the highest accuracy and the lowest average error, namely a MAPE value of 5.9% with an accuracy of 94.1% and an RMSE of 14398.14, followed by the multiple linear regression method obtaining a MAPE value of 6.9% with an accuracy of 93.1% and an RMSE of 15527.41, then for Fuzzy Mamdani obtaining a MAPE value of 7% with an accuracy of 93% and an RMSE of 16077.76.