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Foreign Debt: Causes and Theirs Impact on Economic Growth in Indonesia Anggresta, Vella; Subiyantoro, Heru; Astuty, Pudji
Signifikan: Jurnal Ilmu Ekonomi Vol. 13 No. 2 (2024)
Publisher : Faculty of Economic and Business, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/sjie.v13i2.40681

Abstract

Research Originality: This study presents a new analysis of the primary determinants of Indonesia's foreign debt and its impact on economic growth over the 1992-2022 period, offering new insights into debt management strategies.Research Objectives: This study uses 31 years of time series data to analyze the main causes of Indonesia's foreign debt and its effect on economic growth.Research Methods: This research employs a quantitative approach with data analysis techniques, including classical assumptions, Ordinary Least Squares (OLS), simple linear regression, and hypothesis testing.Empirical Results: The results indicate that interest rates do not significantly affect Indonesia's foreign debt, while exchange rates and imports have substantial impacts. Additionally, a significant relationship between foreign debt and economic growth is confirmed.Implications: This study suggests that the Indonesian Government should adopt a multifaceted approach to managing foreign debt, including policies aimed at maintaining low interest rates, strengthening the rupiah, boosting exports, and enhancing government spending efficiency without excessive reliance on external borrowing.JEL Classification: F34, F43, H63, O11
The Influence of Transformational Leadership Style, Organizational Culture on Job Satisfaction and its Impact on Employee Performance at System Integrator Company PT. Aetherica Itanusa Persada in 2020 Fare, Jumarni; Astuty, Pudji
Devotion : Journal of Research and Community Service Vol. 5 No. 12 (2024): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v5i12.20691

Abstract

This study examines the factors related to Employee Performance at the system integrator PT Aetherica Itanusa Persada. The factors include Transformational Leadership Style, Organizational Culture, and Job Satisfaction, as independent variables, with Job Satisfaction functioning as an intervening variable that influences Employee Performance, treated as a dependent variable. The research was conducted over 5 months, from October 2019 to February 2020, including the design, implementation, and reporting of the research results. The population for this study consists of employees residing in DKI Jakarta. The sample for this research includes 97 employees of PT Aetherica Itanusa Persada, comprising 23 permanent employees and 74 non-permanent employees. The sampling technique used is purposive sampling, where samples are designated and selected by the researcher. The research results indicate that all hypotheses from the path analysis can be accepted, showing significant and positive effects. The R²m value is 0.759, meaning that 57.7% of the data variance can be explained by the model, indicating that the information contained in the data can be explained by 57.7%. The remaining 42.3% is explained by other variables outside the model. Several suggestions and recommendations can be made, including that leaders should pay attention to the intensity of meetings with their employees and conduct periodic training to achieve positive Employee Performance. Leaders and employees should maintain and implement the Organizational Culture effectively, adhere to established work regulations, and be consistent in their application.
The Internet of Things and Its Impact on The Productivity And Economic Growth of The Manufacturing Industry Suardi, Soni; Astuty, Pudji
Jurnal Indonesia Sosial Sains Vol. 4 No. 08 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i08.865

Abstract

At a practical level, IoT is a network in which all physical objects connect to the internet via network devices or routers and transfer data. IoT allows objects to be controlled remotely through the existing network infrastructure. The existence of IoT is considered to make it easier for humans to do their work. One of the factors affected by IoT is productivity. Productivity referred to here is work productivity, and its impact on increasing sales, which is related to the economic growth of the manufacturing industry. The influence of IoT, whether we like it or not, will impact all sectors of life. The Internet of Things is slowly turning from a vision to a reality. The IoT platform plays a central role in evolution by providing many architectural blocks. IoT also has the potential to increase the availability of information and is likely to transform companies and organizations in almost every industry in the world. Thus, in the future, economic developments will be able to be monitored and predicted based on an IoT platform that is tailored to the needs of each industry, as well as the goals of the company
Development Strategy of Creative Economy-Based Village: A Case Study of Kandri Tourism Village in Semarang Regency Susano, Adhi; Sutrisno, Sutrisno; Astuty, Pudji
Jurnal Indonesia Sosial Sains Vol. 3 No. 12 (2022): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v3i12.873

Abstract

The Implementation of e-government in Village Governments can be the main intervention in driving villages towards progress. This type of research is Descriptive Research. The approaches used are qualitative and conceptual approaches. The data source used is secondary data. Data analysis is carried out descriptively and qualitatively. Conclusions are drawn using deductive methods, which means drawing conclusions from general to specific, especially related to the research topic, namely the Development Strategy of Creative Economy-Based Tourism Villages. This research yields findings that the implementation of social media and digitalization in Kandri tourism village has been very effective. Visitors can easily obtain information about the tourism village and directly fill out online reservation forms, complete with available tour packages. Emphasizing the concept of "from the community, for the community," the management of tourism digitalization in Kandri tourism village starts with the planning process, creating social media accounts and a website for promotional purposes. The presence of ideas from the community to introduce something new in their village is considered a success for the community. The community's skills in managing existing natural resources can be considered proficient. The community empowerment process carried out in Kandri Tourism Village is in line with the potential held by the community, taking into account the social, cultural, and economic aspects of the community. Throughout this process, the community has become the actors and determinants of the development and growth of Kandri Tourism Village. Through consultative forums conducted by the village government with the community, opportunities are given for the community to propose development programs and collectively make decisions to build Kandri Tourism Village.
Pengaruh Motivasi, Lingkungan Kerja, Pelatihan dan Bornout Syndrome terhadap Kinerja Karyawan pada Perusahaan Manufaktur Otomotif di Jakarta Timur Tosin, Muhamad; Susilastuti, Darwati; Astuty, Pudji; Helmi, Yuni
Proceeding Mercu Buana Conference on Industrial Engineering Vol 5 (2023): LEAN AND GREEN FOR SUSTAINABILITY DEVELOPMENT GOALS IN THE I4.0 ERA
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/MBCIE.2023.011

Abstract

This study examines which factors are most dominant that can affect employee performance, where these factors include Motivation, Work Environment, Training and Burnout Syndrome. This factor is used as an independent variable, and to predict its relationship or influence on employee performance, it is used as the dependent variable. The sampling technique used is Simple Random Sampling where the sample is taken randomly in the population where the sample obtained is 68 employees. To test the analysis of research instruments used validity test, reliability test and classical assumption test, while for statistical analysis test and analysis of relationships and influence used correlation test, coefficient of determination and multiple linear regression. The results showed that the Motivation Variable had a positive and significant influence on Employee Performance by 0.562 or 56.2%, Work Environment Variables had a positive and significant influence on Employee Performance by 0.228 or 22.8%, Training Variables had a positive and significant influence on Employee Performance is 0.140 or 14% and the Burnout Syndrome Variable has no effect on Employee Performance at PT. MTS with the results obtained at 0.001.
Fluctuations on Cash Flow Statements of Public Companies in Indonesia. Astuty, Pudji; Priadana, Sidik; Estiningsih, Wening; Yuniarso, Yudi Budi
Maksimal Jurnal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol 3 No 2 (2025): December
Publisher : Abadi Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/meta-journal.v3i2.381

Abstract

This study aims to examine the effect of macroeconomic fluctuations on the cash flow statements of publicly listed companies in Indonesia. Using a panel data approach covering five public companies (AALI, UNVR, TLKM, ASII, and ICBP) over the period 2019–2023, the analysis employs the Common Effect Model (CEM). The independent variables include Gross Domestic Product (GDP), inflation rate, interest rate, and exchange rate, while the dependent variable is operating cash flow (CFO). Prior to estimation, classical assumption tests for multicollinearity and heteroskedasticity were conducted, confirming the validity and reliability of the model. The results indicate that GDP has a positive and significant impact on CFO, whereas inflation, interest rate, and exchange rate exert negative and significant effects. These findings suggest that macroeconomic conditions directly influence corporate liquidity and cash management. Companies need to implement proactive cash management strategies and hedging policies to mitigate risks associated with macroeconomic volatility. Furthermore, regulators should maintain economic stability to support corporate financial resilience. This study contributes to the empirical understanding of how macroeconomic variables affect corporate cash flows in emerging markets, particularly in Indonesia.
The Relationship between Income Inequality and Poverty in Indonesia: A Sustainable Macroeconomic Analysis (Empirical Study of Java Island 2018–2022) Astuty, Pudji; Priadana, Sidik; Saripah, Saripah; Bakti, Ilham Teruna
Maksimal Jurnal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol 3 No 2 (2025): December
Publisher : Abadi Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/meta-journal.v3i2.382

Abstract

This study aims to analyze the influence of income inequality, economic growth, and government expenditure on poverty levels in five provinces across Java Island during the period 2018–2022. A quantitative research approach with a panel data analysis method was employed, using the Fixed Effect Model (FEM) estimated through EViews 12 software. The study utilized secondary data obtained from the Central Bureau of Statistics (BPS) and the Ministry of Finance of the Republic of Indonesia. The results reveal that, partially, income inequality has a negative and significant effect on poverty, indicating that reducing inequality contributes to poverty alleviation. Conversely, economic growth shows a positive and significant relationship with poverty, suggesting that economic growth in Java has not been inclusive (non-pro-poor growth). Meanwhile, government expenditure has a negative and significant impact on poverty, demonstrating that increasing public spending—especially in social and infrastructure sectors—effectively reduces poverty when allocated efficiently. Simultaneously, all independent variables significantly affect poverty, with a Prob(F-statistic) of 0.000004 < 0.05. The coefficient of determination (R²) of 0.7419 indicates that 74.19% of poverty variation is explained by the model. The findings emphasize the importance of inclusive and equitable economic policies to support the achievement of the Sustainable Development Goals (SDGs), particularly Goal 1 (No Poverty) and Goal 10 (Reduced Inequalities).
Artificial Intelligence as a Catalyst for Green Economy and Sustainable Development Amalia, Lasih; Astuty, Pudji
Cognitionis Civitatis et Politicae Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/politicae.v1i6.1834

Abstract

Artificial Intelligence (AI) has now become one of the key technologies in driving the transformation towards a green economy and sustainable development. AI offers innovative solutions in various sectors, such as energy, agriculture, transportation, and waste management, to increase efficiency, reduce carbon emissions, and optimize natural resources. This journal discusses how AI can be a catalyst in achieving the Sustainable Development Goals (SDGs) through a multidisciplinary approach. In the energy sector, AI facilitates the optimization of renewable energy use and the development of smart grids. In agriculture, AI helps create smart agricultural systems that minimize environmental impacts. In addition, the application of AI in waste management and the circular economy allows for optimal utilization of waste to reduce environmental pollution. However, there are several challenges that must be overcome, such as the digital divide, ethical and privacy issues, workforce disruption, and high implementation costs. This journal also provides several strategic recommendations, including collaboration between government, industry, and academia, strengthening policies, and investing in education and training to encourage inclusive and sustainable AI adoption. Based on the results of the research conducted, it can be concluded that the optimal application of AI can accelerate the transition to a green economy and strengthen the sustainable development agenda, but must be supported by appropriate regulations and active participation from all stakeholders.