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All Journal Ekonomikalia Journal of Economics Journal of Educational Management and Learning Indatu Journal of Management and Accounting Grimsa Journal of Business and Economics Studies
Ringga, Edi Saputra
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Understanding Short-Term and Long-Term Price Fluctuations of Main Staple Food Commodities in Aceh Province, Indonesia: An ARDL Investigation Putra, Hadi Arisyah; Fijay, Ade Habya; Suriani, Suriani; Seftarita, Chenny; Ringga, Edi Saputra; Wintara, Heri; Fadliansah, Oka
Ekonomikalia Journal of Economics Vol. 1 No. 1 (2023): July 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v1i1.50

Abstract

Aceh Province still relies on external sources from other regions for its main staple food commodities, resulting in unpredictable price fluctuations. To address this issue, it is essential to identify the key determinants responsible for these fluctuations and implement suitable preventive measures and policies. Utilizing monthly time-series data from January 2016 to December 2020 and employing the Autoregressive Distributed Lag (ARDL) approach, we investigate the short-term and long-term impact of variables like raw material prices, rainfall, and price index received by farmers on the price fluctuations. The results of the ARDL estimation reveal that all selected independent variables play a crucial role and significant in influencing the price fluctuations of main staple food commodities. Armed with these findings, we suggest that policymakers can provide necessary resources to farmers, strengthen weather monitoring systems, and enhance market transparency, thus better controlling future price fluctuations of regional staple food commodities.
Decomposed Impact of Democracy on Indonesia’s Economic Growth Hardi, Irsan; Ringga, Edi Saputra; Fijay, Ade Habya; Maulana, Ar Razy Ridha; Hadiyani, Rahmilia; Idroes, Ghalieb Mutig
Ekonomikalia Journal of Economics Vol. 1 No. 2 (2023): November 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v1i2.80

Abstract

Indonesia's democratic performance is still classified as a 'moderate' and 'flawed democracy' according to the latest report, even though the ongoing progress of national democracy continues to advance every year. This study addresses the issue by offering a more comprehensive perspective and distinguishes itself by employing a decomposition approach that incorporates 25 indicators of the Indonesian democracy index to assess their individual effects on economic growth, which no prior Indonesian study has explored. The study classifies these indicators into six distinct categories: freedom and civil rights issues, discrimination issues, political and electoral issues, social and cultural issues, law and justice issues, and demonstration and community participation issues. The findings reveal that five out of the six categorized indicators have a crucial role and significantly impact economic growth. This evidence suggests that policymakers should prioritize a multifaceted approach, which includes bolstering the protection of civil rights and freedoms, combating discrimination, as well as reforming electoral and political processes. If implemented with transparency and inclusivity, this approach can pave the way for a more robust and prosperous democracy, leading to better and sustainable economic growth in Indonesia.
Credit Card Fraud Detection for Contemporary Financial Management Using XGBoost-Driven Machine Learning and Data Augmentation Techniques Noviandy, Teuku Rizky; Idroes, Ghalieb Mutig; Maulana, Aga; Hardi, Irsan; Ringga, Edi Saputra; Idroes, Rinaldi
Indatu Journal of Management and Accounting Vol. 1 No. 1 (2023): September 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijma.v1i1.78

Abstract

The rise of digital transactions and electronic payment systems in modern financial management has brought convenience but also the challenge of credit card fraud. Traditional fraud detection methods are struggling to cope with the complexities of contemporary fraud strategies. This study explores the potential of machine learning, specifically the XGBoost (eXtreme Gradient Boosting) algorithm, combined with data augmentation techniques, to enhance credit card fraud detection. The research demonstrates the effectiveness of these techniques in addressing imbalanced datasets and improving fraud detection accuracy. The study showcases a balanced approach to precision and recall in fraud detection by leveraging historical transaction data and employing techniques like Synthetic Minority Over-sampling Technique-Edited Nearest Neighbors (SMOTE-ENN). The implications of these findings for contemporary financial management are profound, offering the potential to bolster financial integrity, allocate resources effectively, and strengthen customer trust in the face of evolving fraud tactics.
Provincial Evidence: Long-Run Impact of Human Development Indicators on Poverty Gap and Severity Ringga, Edi Saputra
Grimsa Journal of Business and Economics Studies Vol. 1 No. 2 (2024): July 2024
Publisher : Graha Primera Saintifika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61975/gjbes.v1i2.26

Abstract

This study aims to fill the identified gap by examining the long-run impact of human development indicators on the poverty gap and severity index in Aceh Province, Indonesia. Utilizing data from the period 2010-2022 and various methodologies such as Fully-Modified OLS (FMOLS), Dynamic OLS (DOLS), and Canonical Cointegration Regressions (CCR), the econometric results indicate that three out of four human development indicators—spending per capita, expected years of schooling, and mean years of schooling—significantly impact poverty gap and severity. However, it was found that the relationships are positive, which means that an increase in human development level worsens poverty. This empirical evidence suggests that human development indicators in Aceh Province have yet to be optimized for successful poverty alleviation. Therefore, policy recommendations for policymakers should focus on bolstering education accessibility, promoting economic empowerment initiatives, and enhancing the effectiveness of existing poverty alleviation programs in Aceh Province.
Starting a Business: A Focus on Construction Permits, Electricity Access, and Property Registration Hardi, Irsan; Nghiem, Xuan-Hoa; Suwal, Sunil; Ringga, Edi Saputra; Marsellindo, Rio; Idroes, Ghalieb Mutig
Indatu Journal of Management and Accounting Vol. 2 No. 2 (2024): December 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijma.v2i2.245

Abstract

Efficient processes for construction permits, electricity access, and property registration are critical to fostering entrepreneurship and economic growth. Delays, high costs, and bureaucratic inefficiencies in these areas pose significant barriers to business start-ups. This study examines the impact of these factors on starting a business, highlighting their role in shaping formal economic activity and business dynamics. By applying methods such as the Generalized Linear Model (GLM), Robust Least Squares (RLS), and Quantile Regressions (QR) to data from 213 countries and cities featured in the World Bank’s Doing Business 2019 (DB19) and Doing Business 2020 (DB20) reports, this paper demonstrates that all three factors significantly and positively impact starting a business. Notably, a comparison of results between DB19 and DB20 reveals that the magnitude of these influences decreased in DB20, with some effects becoming less significant or even insignificant compared to DB19. This phenomenon is most apparent in countries with middle-to-high starting a business scores. The findings suggest that shocks like the COVID-19 pandemic may have reduced the relevance of these factors in DB20, as the increased risks associated with starting a business during the pandemic likely overshadowed these considerations. Overall, the results indicate that streamlining construction permits, improving electricity access, and simplifying property registration processes could significantly enhance entrepreneurial activity, drive economic growth, and foster a more dynamic business environment.
Long-Term Impact of Dirty and Clean Energy on Indonesia’s Economic Growth: Before and During the COVID-19 Pandemic Ringga, Edi Saputra; Hafizah, Iffah; Idroes, Ghifari Maulana; Amalina, Faizah; Kadri, Mirzatul; Idroes, Ghalieb Mutig; Noviandy, Teuku Rizky; Hardi, Irsan
Grimsa Journal of Business and Economics Studies Vol. 2 No. 1 (2025): January 2025
Publisher : Graha Primera Saintifika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61975/gjbes.v2i1.49

Abstract

Dirty (non-renewable) energy, considered environmentally harmful due to greenhouse gas emissions, is contrasted with clean (renewable) energy, which is believed to have positive ecological impacts that can boost economic growth in the long term. This study analyzes the long-term effects of electricity generation from both dirty and clean energy sources on economic growth in Indonesia, using data from two periods: before the COVID-19 pandemic (2000–2019) and the full period including the COVID-19 pandemic (2000–2022). Empirical findings from Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) methods reveal that dirty energy significantly impacts long-term economic growth in both periods, while clean energy does not have a substantial effect. A robustness check conducted using the Canonical Cointegrating Regression (CCR) method confirms that dirty energy continues to play a crucial role in Indonesia's long-term economic growth. A key finding is that the positive impact of dirty energy generation on economic growth was stronger in the full period including the COVID-19 pandemic compared to before. This suggests that dirty energy contributed more to economic growth during the pandemic. The study recommends a balanced approach to economic growth by prioritizing the transition to clean energy while recognizing the importance of dirty energy in Indonesia's economy. This transition should be gradual, using the current role of dirty energy to support economic development while investing in clean energy alternatives for sustainable growth.
An Explainable Machine Learning Study of Behavioral and Psychological Determinants of Depression in the Academic Environment Noviandy, Teuku Rizky; Idroes, Ghalieb Mutig; Hardi, Irsan; Ringga, Edi Saputra; Idroes, Rinaldi
Journal of Educational Management and Learning Vol. 3 No. 1 (2025): May 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v3i1.304

Abstract

Depression is a significant and growing concern within academic environments, affecting both students and staff due to factors such as academic pressure, financial stress, and lifestyle challenges. This study explores the use of machine learning, specifically a Random Forest classifier, to predict depression risk among students using behavioral, psychological, and demographic data. A dataset of 27,788 student records was analyzed after thorough preprocessing and exploratory data analysis. The model achieved strong performance, with an accuracy of 83.52% and an AUC of 0.91, indicating reliable classification of depression status. Local Interpretable Model-agnostic Explanations (LIME) were employed to enhance interpretability, revealing key predictive features such as suicidal ideation, academic pressure, sleep duration, and dietary habits. These interpretable insights align with existing psychological research and provide actionable information for mental health professionals. The findings highlight the value of explainable AI in educational settings, offering a scalable and transparent approach to early depression detection and intervention. Future work should focus on longitudinal data integration, multimodal inputs, and real-world implementation to strengthen the model’s utility and impact.
Firm-Level and Public-Sector Corruption Perceptions: The Nexus Hardi, Irsan; Adam, Muhammad; Ringga, Edi Saputra
Indatu Journal of Management and Accounting Vol. 3 No. 1 (2025): June 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijma.v3i1.310

Abstract

Understanding how firm-level corruption shapes national corruption perceptions is crucial for both policymakers and businesses, as it provides evidence to strengthen governance frameworks and foster integrity-driven corporate environments. This study investigates the relationship between firm-level corruption experiences and the Corruption Perceptions Index (CPI), a widely used measure of perceived public-sector corruption. Three indicators from the World Bank Enterprise Surveys are used to capture firm-level corruption: firms’ bribery incidence, gifts to tax officials, and informal payments to public officials. The analysis covers data from 36 countries and employs a rigorous methodological approach, including mean-based estimation techniques such as Gaussian Generalized Linear Models (Gaussian GLM) and Robust Least Squares (RLS), as well as Bootstrap Quantile Regression (BQR). The Gaussian GLM and RLS results indicate that all three indicators have a significant negative impact on the CPI, meaning that more frequent occurrences of these firm-level corrupt practices are associated with lower CPI scores, which reflect higher perceived levels of corruption. The BQR analysis further reveals that the negative impact of two firm-level corruption indicators, bribery incidence and gifts to tax officials, is concentrated in the lower quantiles, indicating a stronger effect in countries with low CPI scores or higher apparent corruption. These findings underscore the importance of strengthening institutional oversight and promoting business integrity at the firm level, as reducing routine corruption in business interactions can meaningfully enhance a country’s overall corruption perception and institutional credibility.
The Nexus Between Democracy, Human Development, and Economic Growth: A Provincial Analysis Ringga, Edi Saputra; Silvia, Vivi
Grimsa Journal of Business and Economics Studies Vol. 1 No. 1 (2024): January 2024
Publisher : Graha Primera Saintifika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61975/gjbes.v1i1.20

Abstract

This study aims to investigate the impact of democracy and human development on the economic growth of Aceh Province, Indonesia, especially from a long-term perspective during the period 2010-2020. It employs both static and dynamic approaches, such as Robust Least Squares (RLS), Dynamic OLS (DOLS), Fully-Modified OLS (FMOLS), and Canonical Cointegration Regressions (CCR). This study uses two gross regional domestic products (GRDP) as a proxy for economic growth, namely GRDP migas (referred to as GRDP with the oil and gas sector included) and GRDP nonmigas (referred to as GRDP without the oil and gas sector included). Econometric results indicate that human development has a significant positive impact on economic growth, especially in the long term. Furthermore, the level of democracy also significantly affects economic growth positively. However, this indication is observed in the context where the province’s economic growth is not dependent on natural resources as the primary driver. This study suggests that it is imperative to formulate strategic policies that prioritize human development in education, healthcare, and living standards. This approach aims to foster sustained economic prosperity while also strengthening democratic institutions and promoting good governance. Such efforts are crucial to ensure a stable and conducive environment for provinces to achieve long-term economic development.
Co-Authors Amalina, Faizah Chenny Seftarita Fadliansah, Oka Fijay, Ade Habya Hadiyani, Rahmilia Hafizah, Iffah Hardi, Irsan Idroes, Ghalieb Mutig Idroes, Ghifari Maulana Kadri, Mirzatul Marsellindo, Rio Maulana, Aga Maulana, Ar Razy Ridha Muhammad Adam, Muhammad Nghiem, Xuan-Hoa Putra, Hadi Arisyah Rinaldi Idroes Silvia, Vivi Suriani Suriani Suwal, Sunil Teuku Rizky Noviandy Wintara, Heri