JP Fakultas Ekonomi dan Bisnis Unsoed (Universitas Jenderal Soedirman, Journal & Proceeding)
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1923 research outputs found
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Analysis Of The Impact Of The Meikarta Project Halt On Companies In The Property And Real Estate Sector: A Difference In Difference Analysis
No full textThis study aims to analyze the impact of the Meikarta project halt on the movement of stock prices in companies within the property and real estate sector. The research sample includes financial reports of companies in this sector during the period of 2013-2023. The influence of these changes is tested using the Difference in Difference (DID) analysis technique within a regression model. The research findings indicate no significant difference in stock price changes between the affected (Treated) and control groups before the cessation of the Meikarta project (p-value = 0.139 > 0.05). Furthermore, the difference in stock price changes between the two groups before the project cessation is also not significant (p-value = 0.287 > 0.05). The Diff-in-Diff analysis results suggest that stock price changes after the cessation of the Meikarta project do not differ significantly between the two groups, with a p-value of 0.442 (p-value > 0.05). Therefore, it can be concluded that the Meikarta project halt does not have a significant impact on stock price changes between the two groups. These additional analysis results reinforce the hypothesis testing of the Difference in Difference (DID) analysis with the regression model. This research is expected to provide guidance for investors in making investment decisions, especially in facing similar situations of significant project halts that could potentially affect company stock prices.Keywords: Stock Price, DID, Difference in Difference, Meikart
Post-Pandemic Community Empowerment Through Military Operations Other Than War (Pentahelix Perspective Study)
No full textThe Covid-19 pandemic has been empirically proven to have a very significant impact on economic conditions, both on a national and global scale. The Covid-19 pandemic has made Indonesian society worse and socio-economic vulnerability is high. Responding to the difficulties faced by society after the Covid-19 pandemic, Korem 071/Wijayakusuma took the initiative to carry out Military Operations Other Than War (OMSP) activities. This activity is in synergy with a number of related parties, such as relevant government agencies, the business world, and IT experts. This is a form of collaboration from the perspective of the Pentahelix model. This research uses a qualitative method with an embedded case study approach. The research targets include OMSP stakeholders from the Pentahelix model perspective, namely government institutions, academics, business actors, communities/society, and mass media. Research data includes primary and secondary data. The data collection method uses a combination of questionnaires, interviews, Focus Group Discussion (FGD), observation and documentation. To ensure the validity of the data using the triangulation method. The data analysis method uses interactive model analysis. OMSP activities are a collaborative effort carried out by Korem 071/Wikayakusuma in responding to various problems that have arisen in society due to the Covid-19 pandemic. Various activities were held, such as territorial raids for basic necessities, the Manunggal Air Program, developing superior rice varieties, increasing food security, supporting efforts to reduce stunting rates. The series of OMSP activities seeks to increase community capacity or empowerment in a number of very strategic and basic matters, such as meeting basic human needs, food security and health.Keywords: Empowerment, Pentahelix, OMSP, Covid-19
Spatial Analysis Of Forest Deforestation In Indonesia Using Geographically Weighted Panel Regression Method
No full textDeforestation refers to the process of removing or significantly reducing the area of forest that results in vegetation cover and forest ecosystems. Deforestation has become a global issue that attracts the attention of many countries around the world, including Indonesia. The purpose of this study is to model Geographically Weighted Panel Regression (GWPR) in the case of forest deforestation in each province in Indonesia. The method used is quantitative with Geographically Weighted Regression (GWR). The data used is secondary data from the BPS Indonesia covering 33 provinces and an annual period from 2014-2021. The result of this study is the GTWR Fixed Gaussian kernel model: Y gaussian = 35495 + 0.07156x1 − 0.43973x2 + 0.71015x3 + 0.23306x4 − 0.59132x5. GTWR Fixed Bisquare kernel model: Y bisquare = −8.43550 − 0.85441x1 − 1.33293x2 + 2.60602x3 + 0.81375x4 − 1.80997x5. The GTWR Fixed Gaussian model is better than the Fixed Bisquare model in modeling Deforestation data in Indonesia in 2014-2021. This research is expected to provide information related to the condition of forest deforestation in Indonesia and what factors affect forest deforestation cases in Indonesia through the GWPR model.Keywords: [Forest, Indonesia, Geographically Weighted Panel Regression (GWPR)]
The Role Of Moderating Variables Price Towards Consumer Satisfaction Of Msmes In Indonesia
No full textThis study aims to determine the effect of product quality and service quality on customer satisfaction with price as a moderating variable in MSMEs in the culinary sector in Indonesia. Sampling was carried out using purposive sampling technique to 100 respondents. The data analysis method used is the SEM (Structural Equation Modeling) PLS (Partial Least Square) approach using SmartPLS 3.0 software. The results showed that there is a positive effect of product quality on customer satisfaction, service quality has a positive effect on customer satisfaction, price does not moderate product quality on customer satisfaction, and price does not moderate service quality on service quality on customer satisfactionKeywords: Product Quality, Service Quality, Price, Customer Satisfaction
The Effect Of Regional Expenditure On Economic Growth In 34 Provinces In Indonesia
No full textRegional expenditure is one of the strategies employed to boost regional economic growth. According to Keynesian economics, higher government expenditure leads to higher economic growth. However, in Indonesia, the 10 provinces with the highest regional expenditures are not among the 10 provinces with the highest economic growth rates. This study aims to analyze the effect of regional expenditure, namely operational expenditure, capital expenditure, and transfer expenditure, on economic growth in 34 provinces in Indonesia from 2015 to 2022, with central government transfers as a control variable. The study utilizes secondary data from the Central Statistics Agency (BPS) and employs panel data regression as the analytical tool. The findings revealed that capital expenditure and transfer expenditure had a positive and significant effect on economic growth in the 34 provinces in Indonesia from 2015 to 2022. On the other hand, operational expenditure and central government transfers had a positive but insignificant effect on economic growth in the 34 provinces in Indonesia from 2015 to 2022. The implications of these findings suggest that the government needs to evaluate the allocation of operational expenditure and central government transfers to ensure that expenditure allocations are targeted and effective in achieving their goals. Additionally, regional governments can reduce the allocation of funds in operational expenditure if deemed wasteful, allowing more funds to be allocated for capital expenditure and transfer expenditure, which have a positive and significant effect on economic growth. Keywords: Economic Growth, Operational Expenditure, Capital Expenditure, Transfer Expenditure, Central Government Transfe
Human Capital, Artificial Intelligence Are Mediated By Digital Twin To Improve Msme Performance In Purwokerto
No full textMicro, Small and Medium Enterprises (MSMEs) are the backbone of the economy in many countries around the world. They make significant contributions to economic growth, job creation, and income distribution. This research aims to investigate the potential and effectiveness of using Human Capital, Artificial Intelligence mediated by Digital Twins in improving the performance of MSMEs. This research will focus on developing and implementing new technology and strategies to optimize stock management, increase operational efficiency, improve customer service, and ensure compliance with relevant regulations. This research can also contribute to increasing the competitiveness and profitability of Alfamart and its partner MSMEs through innovative approach in managing and utilizing human resources and technology. This research uses a quantitative approach. Based on a quantitative approach, this research uses a survey method using a questionnaire as a data collection tool. The population used in this research were employees who worked at several Alfamarts in Purwokerto. This research uses a convenience sampling technique. Considering the limited time in collecting data, researchers can determine the sample using the Roscoe formula. Data analysis techniques use measurement scales (Likert scales), multiple regression, data analysis tests, classical assumption tests and mediation tests. The results of this research show that human capital has a positive effect on the performance of Alfamart MSMEs. Artificial intelligence has a positive effect on the performance of Alfamart MSMEs. There is a significant mediating effect from the digital twin between human capital on the performance of Alfamart MSMEs. There is a significant mediation effect from the digital twin between artificial intelligence on Alfamart MSME performance, this is shown by the results of a questionnaire with 40 respondents.Keywords: Human Capital, Artificial Intelligence, Digital Twin, MSME Performance
The Influence Of Financial Risk And Capital Adequacy On Financial Performance
No full textThis research aims to examine the influence of liquidity risk, operational risk, market risk and capital adequacy on financial performance. The independent variables used in this research are liquidity risk, operational risk, market risk and capital adequacy. The dependent variable is financial performance and the moderating variable is credit risk. The population in this research is people\u27s credit banks in the former Banyumas Residency area which are registered with the OJK until 2023. The sampling technique used was purposive sampling with a total sample of 19 banks. Data analysis carried out included panel data regression analysis, classical assumption test, moderated regression analysis, coefficient of determination, t test, and f test. The research results show that liquidity risk and capital adequacy have no effect on financial performance, operational risk has a negative effect on financial performance, and market risk has a positive effect on financial performance. Credit risk as a moderating variable can moderate the influence of liquidity risk, market risk and adequacy on financial performance, but cannot moderate the influence of operational risk on financial performance.Keywords: Financial Risk, Financial Performance
Analysis Of The Factors Influencing Village Independence In Banyumas Regency
No full textVillage independence is crucial for fostering democratic governance at the local level, developing infrastructure, and strengthening the local economy. Financial factors play a significant role in determining the level of independence in a village. This study focused on villages in Banyumas Regency and aimed to analyze the factors influencing village independence, specifically examining the impacts of Village Original Income, Allocation of Village Funds, and Distribution of Local Tax and Local Levies. The methodology employed in this study is a quantitative approach, which involves testing hypothesis by examining the relationships between variables. Purposive sampling was used to select the sample from Villages in Banyumas Regency from 2021 to 2023. The data was analyzed using Regression Analysis, which leverages sophisticated analytical techniques facilitated by Eviews 12. The findings of this study indicate that Village Original Income has a positive influence on village independence, whereas the Allocation of Village Funds and Distribution of Local Tax and Levies have negative impacts. These results suggest that there is a need to enhance transparency and accountability in the management of village resources and Village Original Income to reduce dependency on government transfer funds and increase the level of village independence in Banyumas Regency.Keywords: Village Independence, Allocation Of Village Funds, Village Original Income, Distribution Of Local Tax And Levies
The Influence Of Green Intellectual Capital And Audit Committee On Carbon Emission Disclosure
No full textThis study aims to examine the impact of green intellectual capital (GIC) and audit committees on carbon emission disclosure among energy sector companies listed on the Indonesia Stock Exchange (IDX) from 2019 to 2022. Utilizing a purposive sampling technique, the study consists of 80 data samples. The data source used in this study is secondary data obtained from the annual reports of energy sector companies listed on the Indonesia Stock Exchange (IDX) from 2019 to 2022, with data collection conducted through documentation methods. The research adopts a quantitative approach and uses multiple regression analysis to evaluate the data. The results demonstrate a positive relationship between green human capital (GHC) and green relational capital (GRC) effect on carbon emission disclosure, while green structural capital (GSC), and audit committees has no significant effect on carbon emission disclosure. This study offers valuable insights for stakeholders and policymakers seeking to improve environmental disclosure practices.Keywords: Green Intellectual Capital, Green Human Capital, Green Relational Capital, Green Structural Capital, Audit Committees, Carbon Emission Disclosure
Effect Of Supply Chain Management On Company Performance Mediated By Competitive Advantage
No full text: This study aims to analyze and determine the effect of supply chain management on company performance and competitive advantage, competitive advantage on company performance, and supply chain management on company performance mediated by competitive advantage. The data collection method in this study used a questionnaire as a data collection technique. The population in the research conducted was MSME food stalls and catering businesses in Banyumas district with a sample of 73 respondents and the analysis method used was the PLS method. The study found that supply chain management has a positive effect on company performance and competitive advantage. Another result is that competitive advantage has a positive effect on company performance. And finally, supply chain management has a positive effect on company performance mediated by competitive advantage.Keywords: Supply Chain Management, Competitive Advantage, Company Performance, MSMEs