Abstract:Study This aim for test and analyze influence inflation, GRDP, total population, and HDI against level unemployment open at four cities in North Sumatra Province. The type of data used in study is quantitative data types…
with secondary data. The object in study is four cities in North Sumatra Province. Study This using panel data (Pooled Data). combines Time Series and Cross Section data for 16 years that is start from 2005-2020. Variables used are inflation, GRDP, Total Population and HDI. Method analysis in study This use Fixed Effect Model (FEM), using E-views 10 as tool estimate. Regression results show that Inflation influential negative and no significant to the Open Unemployment Rate, GRDP has an effect negative and significant to the Open Unemployment Rate, Total Resident influential positive and significant effect on the Open Unemployment Rate and HDI negative and no significant to the Open Unemployment Rate. Then exists a connection between Inflation, GRDP, Total Population and HDI with an Open Unemployment Rate of 62.19%. the rest of 37.81% explained by variables others who don't enter into models.
Abstract:This study aims to examine and analyze the effect of economic growth, literacy rates, life expectancy rates, and open unemployment rates on poverty in the Nias Islands. The type of data used in this study is a type of quantitative…
antitative data with secondary data. The objects of this research are four districts and one city in the Nias Islands. This study uses panel data (Pooled Data) , which combines Time Series and Cross Section data for 12 years, namely from 2010-2021. The variables used are Economic Growth, Literacy Rate, Life Expectancy Rate, Open Unemployment Rate, and Poverty. The analytical method in this study uses the Fixed Effect Model (FEM), using E-views 10 as an estimation tool. The estimation results show that Economic Growth has a negative and significant effect on Poverty, Literacy Rate has a positive and insignificant effect on Poverty, Life Expectancy has a negative and significant effect on Poverty, Open Unemployment Rate has a positive and significant effect on Poverty. Then there is a relationship between Economic Growth, Literacy Rate, Life Expectancy, and the Open Unemployment Rate with Poverty of 92.17% while the remaining 7.83% is explained by other variables not included in the model.
Abstract:The study aims to analyze the effect of population density, unemployment, minimum wage, inequality and human development index on crime in North Sumatra province. The type of research used in this study was descriptive research…
esearch using quantitative research methods. The type of data used in this research is secondary data. In this study, Microsoft Excel Home and Student 2021 and Eviews 12 Student were used for data processing and hypothesis testing. The result of this study is that population density and Human Development Index has a positive and significant effect on crime. Unemployment has a positive and insignificant effect on crime. The Minimum Wage have a negative and insignificant effect on crime, and then Population Density, Unemployment, Minimum Wage, and Human Development Index together have an effect on crime in North Sumatra Province.
Abstract:This study sets out to determine the impact of resilience in the psychosocial support of internally displaced secondary school students in Cameroon. The researcher was motivated by the crises that is affecting two regions…
s in the country which has exposed children to significant risks of diverse forms such as sexual violence, seizure of daily activities, dropping out of school, destruction of infrastructure, association to armed groups, family separation all resulting to extended psychosocial distress and mental disorders especially among some children.The mixed method approach was adopted by the researcher. In the quantitative phase, a sample of 317 participants was drawn from some public schools in the selected regions. The qualitative data was collected from the field with the aid of an Interview guide. Data were analysed used analysing using both descriptive and inferential statistics and the interview guide was analysed using the process of thematic content analysis. The results reveal that the impact of resilience in the psychosocial support of internally displaced secondary students in Cameroon was significant for all the predictive components thus indicating their significance in providing psychosocial assistance among internally displaced secondary school students
Abstract:The purpose of this paper is to investigate the effect that pressure from external stakeholders and environmental performance have on the reporting of carbon emissions by corporations. Purposive sampling was utilized to…
pick samples for use in this study. These samples were selected from sustainability reports and annual reports of companies that were registered with the Asia Sustainability Reporting Rating (ASRRAT) for 2019–2021. The data that was used in this study was considered to be secondary data. This investigation takes a quantitative approach and using a method called Multiple Regression Analysis. According to the study's findings, institutional ownership, diffusion ownership, and environmental performance have no discernible influence on the disclosure of carbon emissions, whereas the media exposure variable significantly affects the degree of disclosure.
Abstract:Insurance is an agreement made by the insurer and the insurance cover. In terms of digital agreements or digital contracts in the insurance business, one of the aspects that support business legitimacy is a digital signature…
ture (digital signature). One of the digital signature providers is PrivyID. The chosen research method is descriptive analysis. While the type of research in this research is library research conducted through various reading materials. The results of the study state that the implementation of electronic signatures by PrivyID follows the provisions in the ITE Law which require the fulfillment of electronic document security aspects, namely authenticity (authentication), wholeness (integrity), and undeniable (non-repudiation). Privyid has a special insurance product by simplifying policy signing and digitizing workflows, with full legal guarantees, because insurance is a high-complexity business, involving several processes to manage current policies, updated policies, handle customer requests, and process claims. With the rapid growth and changes in the insurance industry, digitizing workflows is necessary to provide efficiency while providing a high level of trust and security in user onboarding.
Abstract:This study aims to describe the effect of a cybergogy-based approach supported by an e-module in fostering students’ digital literacy on the topic of mixture separation. Motivated by the demands of Industry 4.0/Society 5.0…
5.0 and low literacy outcomes (e.g., PISA 2022) as well as preliminary findings at SMP Negeri 1 Bagor—where only 50% of students surpassed the Minimum Mastery Criterion (KKM) of 70 in science—the research employed a pre-experimental one-shot case study design with 32 Grade VIII-D students. Digital-literacy performance was measured through a verified posttest and analyzed descriptively and inferentially. Shapiro–Wilk testing indicated non-normality, so a Wilcoxon test was conducted against the KKM benchmark. The mean posttest score was 82.28 (min 75.00; max 91.66), with average achievement across components of 79% (high category); hypertext navigation was the strongest component (94%, very high), while content evaluation was the weakest (64%, high). The Wilcoxon test yielded Asymp. Sig (2-tailed) < 0.001, indicating a significant improvement relative to the benchmark. These findings suggest that the cybergogy-assisted e-module is effective for cultivating students’ digital literacy in mixture separation, with device-access constraints noted as a practical limitation for future implementations.
Abstract:This study aims to analyze and compare the strategies, methods and tools used by various institutions in the world and different countries in detecting fraud. Currently, Fraud has become a common thing in the world of economics…
onomics and business. As one of the preventive measures, robust detection is required. Methods and ways of detecting fraud are constantly changing and improving. Where every country certainly has a strategy in dealing with fraud cases to protect the country's economy. Without an appropriate strategy, it will facilitate further crime. This research will also explain fraud detection methods that have been applied by various institutions. The data before and after the Covid period did not show a very significant difference, so it can be concluded that whether external influences from outside the company did not significantly influence the occurrence of fraud in the company. Therefore, if we do not aware about the strategies, methods, and tools for detecting cases of fraud in companies, we will never know whether the company is in good condition or not.
Abstract:This study aims to determine the effect of locus of control and academic stress on academic procrastination in class XI students at SMK Negeri 50 Jakarta. The population in this study amounted to 244 respondents, and the…
sample was taken using a probability sampling technique, namely proportional random sampling with a total sample of 142 respondents. Validity test using product moment and reliability test using Cronbach's alpha. The data analysis technique used was a requirements test, classical assumption test, multiple linear regression test, and hypothesis testing with IBM SPSS version 23.0. The results of this study indicate that (1) there is a negative and significant influence of locus of control on academic procrastination of class XI students at SMK Negeri 50 Jakarta.
Abstract:The use of Medical English in telehealth settings has become an essential requirement due to the rapid global expansion of remote healthcare counseling and consultations. However, nursing students often experience a lack…
of communication confidence when interacting in English within virtual clinical scenarios. This study aimed to evaluate the impact of integrating AI-assisted Medical English modules into clinical simulation on nursing students' communication confidence in telehealth settings. A quantitative method with a quasi-experimental pre-test and post-test design was employed. The study involved 57 final-year nursing students at STIKes Darussalam Lhokseumawe selected via total sampling. The research was conducted in July 2026. Data were collected using a telehealth communication confidence scale questionnaire administered before (pre-test) and after (post-test) the AI-assisted intervention. Data were analyzed univariately and bivariately using the Paired Sample t-test. The results demonstrated a significant increase in the mean communication confidence score from 52.4 (moderate/low category) at pre-test to 78.6 (good category) at post-test. Statistical analysis revealed a p-value of 0.001 (p<0.05), indicating a statistically significant effect of integrating AI-assisted Medical English modules into clinical simulations on enhancing nursing students' communication confidence in telehealth settings. It is concluded that incorporating AI tools into remote counseling simulations effectively improves nursing students' English communication readiness and confidence.