Abstract:The development of a green economy is a strategic issue in realizing sustainable development, especially in potential areas such as Lake Toba. However, the role of socio-cultural factors in supporting the green economy has…
as not been extensively researched empirically. This study aims to analyze the influence of Community Awareness, Environmental Knowledge, and Local Cultural Beauty on Green Economic Development in the Lake Toba area. The method used is a quantitative approach with multiple linear regression analysis techniques with the help of SPSS software version 25. Data were obtained from questionnaires distributed to local respondents The results of the study showed that Community Awareness and Environmental Knowledge did not have a significant effect on the green economy, while the Beauty of Local Culture had a significant effect. The value of the determination coefficient (R²) of 0.4053 indicates that the three variables explain the 40.5% variation in the development of the green economy. These findings confirm the importance of a cultural approach in supporting the sustainability of the Lake Toba region.
Abstract:Nurses, as the frontline of healthcare services, are expected to deliver optimal performance that frequently goes beyond their formal duties, thus requiring robust psychological capital to support voluntary work behaviors…
s known as Organizational Citizenship Behavior (OCB). This study aims to analyze the effect of Psychological Capital (PsyCap), which comprises hope, efficacy, resilience, and optimism, on nurses' OCB in regional hospitals and to identify the most dominant dimension influencing OCB. Employing a quantitative correlational approach, this research collected primary data through structured questionnaires distributed to nurses as respondents. The data were analyzed using descriptive statistics, multiple regression analysis, and moderated regression analysis to test variable relationships and the moderating effects of demographic factors. The results indicate that the levels of PsyCap and OCB among nurses are relatively high, with resilience emerging as the most significant predictor of OCB. These findings strengthen the position of PsyCap as an essential psychological resource that fosters prosocial behaviors among nurses, especially in regional hospitals often challenged by limited human resources. The implications suggest that hospital management should design PsyCap enhancement programs, focusing particularly on strengthening nurses' mental resilience to sustainably improve healthcare service quality. This study also contributes theoretically by enriching the literature on organizational behavior within the Indonesian healthcare sector.
Abstract:The integration of artificial intelligence (AI) in patent systems has emerged as a complex area in intellectual property law. This systematic literature review follows PRISMA 2020 guidelines to analyze AI implementation…
in patent systems, particularly within the Indonesian context. The study examines 11 key studies published between 2015-2025 through systematic searches across multiple academic databases. Results demonstrate that AI implementation has achieved significant improvements in operational efficiency, particularly in automated patent classification, prior art searching, and examination support systems. Approximately 190,000 AI patents were granted globally between 2000-2022, reflecting increasing technological importance. In Indonesia, AI implementation must align with Law No. 13 of 2016 on Patents as amended by Law No. 65 of 2024. The landmark Thaler v. Vidal case confirms AI cannot be an "inventor" but can serve as an assistive tool with significant human contribution. Key challenges include AI decision-making transparency and knowledge gaps among patent examiners.
Abstract:This study aims to determine the effect of compensation and work environment on employee performance at PT. Tunas Dwipa Matra Palopo branch. The research method used is quantitative with data collection techniques through…
h questionnaires. The research sample consisted of 40 employees. Data analysis techniques using multiple linear regression with SPSS 25. The results showed that simultaneously compensation and work environment have a positive and significant effect on employee performance with a significance value of 0.001 < 0.05. Partially, the work environment has a positive and significant effect on employee performance (sig = 0.001), while compensation has no significant effect (sig = 0.474). The R Square value of 0.745 indicates that 74.5% of employee performance variability can be explained by compensation and work environment.
Abstract:The purpose of this study is to ascertain how well SMP Kota Cirebon's speaking abilities may be enhanced by the ARKA approach. Quantitative research using a survey design is the methodology employed. Surveys and closed tests…
ests measuring the six aspects of speaking ability—pronunciation, grammar, vocabulary, fluency, understanding, and tasks—were used to gather data. SPSS version 25 was used for data analysis. The findings show that SMP Kota Cirebon's speaking ability had been significantly affected by the ARKA approach. This is demonstrated by the coefficient of determination (R Square) value of 0.636, which indicates that the ARKA approach accounts for 63.6% of the diversity in students' speaking ability. In addition, the multiple linear regression model is statistically significant (Sig. = 0.000 < 0.05), according to the ANOVA test findings. According to the study's findings, junior high school students' speaking abilities can be enhanced by the ARKA technique, which is also a creative and relaxing alternative teaching strategy.
Abstract:This study aims to determine the influence of smart tourism features in a mobile application on tourists’ decision to visit Pura Mangkunegaran Surakarta. Using a quantitative approach, the research tested four main smart…
rt tourism features: (1) Historical Information, (2) Cultural Gallery, (3) Cultural Events and News, and (4) Educational and Interactive Features. The study used a multiple linear regression method with data collected from 96 domestic respondents. The results show that all four smart tourism features simultaneously and partially have a significant effect on the decision to visit. The most influential features are Historical Information and Educational-Interactive content. These results emphasize the importance of digital platforms in promoting and preserving cultural tourism through smart technologies.
Abstract:Milkindo Agrotourism, located in Malang Regency, was an educational tourism destination that combined modern livestock and agricultural activities. This study examined the influence of attraction, accessibility, amenity,…
and ancillary factors on visitor perceptions. Data were collected in February 2025 through questionnaires distributed to 100 visitors. The research instruments were tested for validity and reliability, and classical assumption tests were performed to ensure the appropriateness of multiple linear regression analysis. The results revealed that visitors rated the clarity of registration information and memorable experiences the highest. Regression analysis showed that attraction significantly negatively affected visitor perception, while accessibility, amenity, and ancillary factors had significant positive effects. This indicated that enhancing accessibility, amenity, and ancillary improved visitor satisfaction, whereas increasing attraction elements unexpectedly lowered visitor perception. In conclusion, effective management of attraction, accessibility, amenity, and ancillary was essential to foster positive visitor perceptions and enhance the competitiveness of Milkindo Agrotourism as a leading educational tourism destination. The study recommended continuous innovation and improvement to support sustainable development in education-based agrotourism.
Abstract:This study aims to analyze the development strategy of cassava leaf-based animal feed ( Manihot utilissima ) in Sumberejo Village, Pagar Merbau District, Deli Serdang Regency. This study uses a nonprobability sampling method…
thod with a saturated sampling technique. With a total of 53 respondents consisting of 50 consumers, 1 business owner and 2 employees. This study uses primary and secondary data. This study uses multiple linear regression analysis to determine what factors influence the development strategy of cassava leaf animal feed and descriptive analysis to analyze the development strategy for the potential and opportunities of using cassava leaves as animal feed. This research method uses qualitative and quantitative analysis. The results showed that cassava leaves have a high crude protein content, which is around 20-30%, and contain crude fiber, fat, and minerals that are beneficial for livestock growth. Multiple linear regression analysis in this study shows that all independent variables have a significant effect on the dependent variable. Among these factors, the economic aspect makes the largest contribution, making it the main factor influencing the dependent variable. Furthermore, social aspects and external support also play a significant role in determining the results. In addition, other factors such as technology, resources, and marketing and distribution also have a significant impact, although with a smaller influence compared to economic and social aspects. Thus, the regression model shows a positive relationship between the independent variables and the dependent variable, so that improvements in these aspects will increase the dependent variable, with the main priority on economic and social aspects.
Abstract:Based on the research results, the research results show that ethical leadership supports the adoption of positive behavior by employees and overall improves organizational performance. This approach emphasizes the ethical…
al dimension of leadership in the context of management, with a focus on improving leader values, ethical traits and ethical behavior within the organization. Aspects such as Telling, Selling, Participating & Delegating are considered key elements in ethical leadership . The method used is multiple regression analysis, an analysis method used to evaluate the relationship between one dependent variable (bound) with one or more independent variables (free/explanatory). This analysis aims to predict the value of the dependent variable by considering changes in the value of the independent variable. In addition, multiple regression analysis helps in determining the direction of the relationship between the dependent variable and the independent variable, whether the correlation is positive or negative. The regression equation formula for two dependent and independent variables . The tests used are classical assumption tests, hypothesis tests and data quality tests. The sample is determined by taking a representation of the population that is predicted to represent the entire population. The sample in this study were employees at the PT. Perkebunan Nusantara (Persero) I Office Regional I . Determination of samples for employees of PT. Perkebunan Nusantara I (Persero) Regional I was carried out using the Saturated Sampling method . The results of the study showed that X1 telling t count -1.113 < t table 5.409 and significance 0.316 > 0.05 (no effect). X2 selling t count -0.365 < t table 5.409 and significance 0.730 > 0.05 (no effect). X3 participation t count 8.090 > t table 5.409 and significance 0.010 < 0.05 (influential). X4 delegation t count 9.320 > t table 5.409 and significance 0.000 < 0.05 (influential). The results of the simultaneous significance test of the F test are f count 6.076 > f table 5.409 and the prob (F-statistic) is 0.0000 < 0.05. H0 : β1 = β2 = • • • = βk = 0 This means that the independent variable has an overall influence/relationship on the dependent variable
Abstract:This study aims to analyze the impact of liquidity ratios on the corporate value of banking companies with the role of capital structure as a moderating variable. The data used in this study are secondary data obtained from…
rom the annual financial reports of Bank Syariah Indonesia listed on the Indonesia Stock Exchange (IDX) during the period 2021–2023. The method used is multiple regression analysis with a model that includes the interaction between liquidity ratios (Current Ratio) and capital structure (Debt to Equity Ratio) as a moderating variable on corporate value, measured by Price to Book Value (PBV). The results of the study show that liquidity ratios have a positive and significant impact on corporate value, while capital structure has a negative impact on corporate value. In addition, the interaction test shows that capital structure acts as a moderating variable that reduces the positive impact of liquidity ratios on corporate value. These findings indicate that although a high liquidity ratio can increase corporate value, this effect may be diminished if the bank has a capital structure more dominated by debt. This study provides important implications for bank management in balancing liquidity and capital structure to maximize corporate value.