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International Journal of Business, Economics, and Social Development
Published by Research Collaboration Community
ISSN : 27221164     EISSN : 27221156     DOI : https://doi.org/10.46336/ijbesd
Core Subject : Economy, Humanities, Education, Social,
Humanities Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences
International Journal of Business, Economics and Social Development (IJBESD) is published 4 (four) times a year and is the flagship journal of the Research Collaboration Community (RCC). It is the aim of IJBESD to present papers which cover the theory, practice, history or methodology of Business, Economics and Social Development. However, since Business, Economics and Social Development are primarily an applied science, it is a major objective of the journal to attract and publish accounts of good, practical case studies. Consequently, papers illustrating applications of Business, Economics and Social Development to real problems are especially welcome. GENERAL BUSINESS AND MANAGEMENT e-Business International Business Business Strategy Marketing Supply Chain Management Organization Studies Entrepreneurship and Business Development Enterprise Innovation Human Resource Management Business Ethics Business Economics Business Communication Business Finance International Business and Marketing Organizational Development and Challenges Leadership and Corporate Governance Tourism Operations Management Human Resources Economics Regional Economics Industrial Economics Financial Economics Labor Economics Law and Economics Regulatory Economics Economic Growth and Development Policy Technological Change, Innovation Research and Development Economic Systems GENERAL ECONOMICS Economic Methodology Schools of Economics Production and Organizations Market Structure and Pricing Welfare Economics Public Finance & Public Choice Prices, Business Fluctuations Economic Policy International Finance International Economics Institutional & Corporate Finance Accounting Insurance and Risk Management Monetary Banking Marketing Management Issues Innovation and Change Management Banking and Finance Natural Resource Economics Microeconomics Economics in Development and Sustainability Issues Comparative Economic Systems Stock Exchange Business Economics Capital Market Macroeconomics Economics Theory and Policy Issues Energy Economics and Policy Monetary Economics Public Economics Other areas of Economics COMMUNITY DEVELOPMENT Social Work Health and Sport Sciences Human Development Quality of Life Psychology Communication Public Administration Leadership Style Sociology Anthropology Religious Studies Civilizations Social Innovation Other areas of Social Studies and Art & Humanities Political Science Public Policy Political Psychology Protection of Children and Women Political Party System Education Social Sciences Education Science Education Pre-School Education Measurement and Evaluation Talent Development Education Management Education technology Street Children Education Ethnoscience and many more
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 17 Documents
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Search results for , issue "Vol. 6 No. 1 (2025)" : 17 Documents clear
Analysis of Economic Growth and Tourism Potential in Tanjung Lesung, Panimbang, Banten as a Creative Economy Destination Hidayana, Rizki Apriva; Lestari, Mugi
International Journal of Business, Economics, and Social Development Vol. 6 No. 1 (2025)
Publisher : Rescollacom (Research Collaborations Community)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i1.879

Abstract

Tanjung Lesung, located in Pandeglang Regency, Banten, has been designated as a Special Economic Zone (SEZ) for Tourism with the aim of encouraging regional economic growth and improving community welfare. This study analyzes the impact of SEZ on the local economy using qualitative and quantitative approaches. Data were obtained through in-depth interviews, surveys, field observations, and documentation studies. The results of the study indicate that the Tanjung Lesung SEZ has contributed positively to increasing community income by 52% and reducing the unemployment rate by 33%. In addition, investment in the tourism sector encourages business growth in the hospitality, culinary, and tourism services sectors. However, the development of SEZ also faces several challenges, such as limited infrastructure, readiness of local workers, and social and environmental impacts. Limited infrastructure, especially transportation access, is an obstacle in supporting the growth of the tourism sector. In addition, many local workers do not yet have the skills needed by the tourism industry. Environmental impacts, such as increasing waste volume and conversion of agricultural land, are also major concerns. Therefore, a comprehensive strategy is needed through improving infrastructure, strengthening human resource capacity, and implementing sustainable environmental management policies. With the right steps, Tanjung Lesung Special Economic Zone can become a successful model for inclusive and sustainable tourism-based economic development in Indonesia.
The Role of Education in Increasing Social Awareness and Community Participation: A Case Study in Teluk Bintuni, West Papua Jaizul, Alim; Surya, Dhika
International Journal of Business, Economics, and Social Development Vol. 6 No. 1 (2025)
Publisher : Rescollacom (Research Collaborations Community)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i1.880

Abstract

This study examines the role of education in increasing social awareness and community participation in Teluk Bintuni, West Papua, an area rich in natural resources but still lagging behind in terms of education and welfare. Using a qualitative approach with a case study method, this study explores in depth how education contributes to social change and the factors that influence its effectiveness. Data collection was conducted through in-depth interviews, participant observation, document analysis, and Focus Group Discussions (FGD) involving local communities, educators, community leaders, local governments, and civil society organizations. The results of the study showed a positive correlation between education levels and levels of social awareness and community participation in development. Statistical data shows that the community's education profile is still low with 18.4% not attending school, 35.6% having elementary school education, 25.3% having junior high school education, 15.2% having high school education, and only 5.5% having higher education. The study identified four main inhibiting factors: limited access to education, lack of qualified educators, low community awareness of the importance of education, and local cultural aspects that limit educational participation. To address these challenges, five strategies are recommended: improving educational infrastructure, training educators, developing non-formal education programs, utilizing technology, and collaborating with civil society organizations and the private sector. This study makes an important contribution to understanding the linkages between education, social awareness, and community participation in remote areas, and provides practical recommendations for developing more effective and sustainable education policies.
AI Adoption in Business: Opportunities and Challenges for Start-ups Irman, Dede; Putra, Deva
International Journal of Business, Economics, and Social Development Vol. 6 No. 1 (2025)
Publisher : Rescollacom (Research Collaborations Community)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i1.881

Abstract

Artificial intelligence (AI) has become a technology that plays an important role in business transformation, including in the start-up sector. This study aims to analyze the opportunities and challenges in adopting AI in start-up businesses and its impact on company performance. The research method used is a qualitative and quantitative approach by collecting data through surveys, interviews, and literature studies. The results of the study show that AI provides various benefits for start-ups, such as increasing operational efficiency, optimizing decision-making, personalizing customer service, and reducing labor costs. The fintech and e-commerce sectors are the industries with the highest rates of AI adoption due to the need for automation and data security. However, the implementation of AI also faces various challenges, including high costs, limited expertise, integration with legacy systems, and data security and regulatory issues. Further analysis shows that start-ups that successfully adopt AI have a mature strategy in technology investment and human resource development. In addition, the effective implementation of AI can increase the competitiveness of start-ups and support sustainable business growth. Therefore, a strategic approach is needed in facing the challenges of AI implementation so that the benefits obtained can be optimized. This study is expected to provide insights for business owners, investors, and policy makers in developing more effective AI adoption strategies in the future.
Factors Influencing the Human Development Index in Indonesia Using Structural Equation Modeling-Partial Least Square Saefullah, Rifki; Ningsi, Besse Arnawisuda
International Journal of Business, Economics, and Social Development Vol. 6 No. 1 (2025)
Publisher : Rescollacom (Research Collaborations Community)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i1.884

Abstract

HDI is a benchmark for a country in achieving human development in the country. Indonesia is a developing country with a relatively increasing HDI value every year. This shows that the efforts made by Indonesia are going well. However, Indonesia experienced a decrease in HDI value in 2019 towards 2020, due to restrictions on activities caused by the Covid-19 pandemic. In addition, the HDI value in each province in Indonesia is uneven, even from the publication data of the Central Statistics Agency (BPS) shows a significant difference in HDI value between provinces in Indonesia. So that evaluation and improvement are needed to be able to equalize and stabilize HDI in Indonesia. HDI value can be influenced by several factors including economy, education, and health. This study aims to determine the direct effect of economic variables on HDI, the direct effect of education variables on HDI, the direct effect of health variables on HDI, the indirect effect of education variables on HDI through economic variables and health variables. The data used in this study are data on the Human Development Index of economic, education and health variables along with the indicators that measure them, from 34 provinces in Indonesia in 2022. This study applies SEM-PLS to determine the factors that influence the Human Development Index (HDI). The results of this study indicate that economic variables and education variables have a direct influence on the Human Development Index (HDI), while health variables have no direct influence on the Human Development Index (HDI). Then the education variable through the economic variable has an indirect effect on the Human Development Index (HDI), and the education variable through the health variable has no indirect effect on the Human Development Index (HDI).
Comparative Analysis of LSTM and GRU Models for Ethereum (ETH) Price Prediction Saputra, Moch Panji Agung; Ibrahim, Riza Andrian; Saputra, Renda Sandi
International Journal of Business, Economics, and Social Development Vol. 6 No. 1 (2025)
Publisher : Rescollacom (Research Collaborations Community)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i1.887

Abstract

The increasing use of cryptocurrencies has changed the dynamics of investment, presenting both opportunities and challenges for investors. Although various studies have compared the performance of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) in predicting financial asset prices, there are still differences in results regarding which model is superior. Therefore, this study aims to compare the performance of LSTM and GRU in predicting Ethereum prices using a hyperparameter tuning approach. The data used is historical data of Ethereum (ETH) shares from 2020 to 2025. The research methodology includes data preprocessing using Min-Max scaling, model development with various layer configurations, and comprehensive evaluation using several performance metrics. The results show that the GRU Model provides superior performance with a lower Root Mean Squared Error (RMSE) of 0.0234 and Mean Absolute Error (MAE) of 0.0168, compared to LSTM's RMSE of 0.0265 and MAE of 0.0193. While LSTM exhibits a slightly better Mean Absolute Percentage Error (MAPE) of 18.08% compared to GRU at 18.17%, the GRU model achieves a higher R² Score of 0.9442 compared to LSTM at 0.9282. Visual analysis of the prediction patterns and residual distributions further demonstrates GRU’s more consistent and accurate performance in capturing Ethereum price movements. These findings suggest that while both models are effective for cryptocurrency price prediction, GRU offers slightly better overall performance and stability, especially in maintaining consistent prediction accuracy across different market conditions.
The Impact of the Digital Economy on Employment and Workforce Structure in Indonesia Lianingsih, Nestia; Irman, Dede; Nurnisaa, Nurnisaa
International Journal of Business, Economics, and Social Development Vol. 6 No. 1 (2025)
Publisher : Rescollacom (Research Collaborations Community)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i1.889

Abstract

This study examines the impact of the digital economy on employment and workforce structure in Indonesia. The digital economy in Indonesia is growing rapidly, driven by e-commerce, digital financial services, app-based transportation, and artificial intelligence-based technology, with a projected contribution of more than USD 130 billion by 2025. Using a mixed-method approach, this study analyzed data from 200 respondents consisting of workers in the digital economy sector and traditional sectors affected by digitalization, as well as in-depth interviews with 15 representatives of workers, business actors, and policy makers. The results showed that 68% of respondents considered the digital economy to increase job opportunities, although 40% of respondents admitted that digitalization also caused job losses in certain sectors. Changes in the workforce structure are seen in the increasing need for technology skills (45%), digital marketing (35%), and digital business management (30%). The main challenges faced by workers include lack of digital skills (50%), uncertain income (40%), and lack of social security (35%). This study recommends strengthening digital skills training programs through collaboration between the government and the private sector, developing regulations for protecting digital workers, and increasing financial inclusion for digital economy workers. This study contributes to a more comprehensive understanding of workforce transformation in the digital era and provides strategic input for policymakers in managing the workforce transition towards an inclusive and sustainable digital economy.
Impulsive Buying Tendency among Emerging Adults Using Pay Later on E-Commerce Platforms Dewanto, Priscilla; Dahesihsari, Rayini
International Journal of Business, Economics, and Social Development Vol. 6 No. 1 (2025)
Publisher : Rescollacom (Research Collaborations Community)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i1.897

Abstract

The rapid growth of e-commerce in Indonesia has increased the use of pay later services, which allow consumers to defer payments for online purchases. While offering convenience, this trend has contributed to a rising non-performing loan (NPL) rate, reaching 72.6% (around Rp 3.28 trillion), with emerging adults being the primary contributors. Their impulsive buying tendencies, influenced by identity exploration and instability, may lead to unplanned spending due to the ease of pay later services. This quantitative descriptive study surveyed 246 emerging adults (18-25 years old) who have used pay-later on e-commerce platforms. Participants completed the Impulsive Buying Tendency Scale (IBTS), adapted for pay later usage. Data were analysed using descriptive statistics, categorization, correlation, and comparative tests. Findings indicate that most pay later users show high impulsive buying tendencies, with affective dimension being stronger than cognitive aspect. These insights can help educate emerging adults on responsible pay later usage.

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