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All Journal Heca Journal of Applied Sciences Leuser Journal of Environmental Studies Ekonomikalia Journal of Economics Journal of Educational Management and Learning Infolitika Journal of Data Science Indatu Journal of Management and Accounting The International Journal of Financial Systems Grimsa Journal of Business and Economics Studies Journal of Future Artificial Intelligence and Technologies
Idroes, Ghalieb Mutig
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Social Sciences Other

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Agrochemicals, GHG Emissions, and GDP in Southeast Asia: A Machine Learning Approach with Hierarchical Clustering Fazli, Qalbin Salim; Idroes, Ghalieb Mutig; Hilal, Iin Shabrina; Hafizah, Iffah; Hardi, Irsan; Noviandy, Teuku Rizky
Grimsa Journal of Business and Economics Studies Vol. 2 No. 2 (2025): July 2025
Publisher : Graha Primera Saintifika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61975/gjbes.v2i2.93

Abstract

Agrochemical use, GHG emissions, and gross domestic product (GDP) vary widely across Southeast Asia, making the region suitable for cluster-based sustainability analysis. This study applies hierarchical clustering analysis (HCA) to classify nine Southeast Asian countries using four standardized indicators: pesticide use, nitrogen fertilizer use, GHG emissions, and GDP. Exploratory data analysis reveals significant disparities, with Brunei and Indonesia emerging as outliers due to exceptionally high input intensity and emissions, respectively. HCA identifies four distinct clusters: (1) low-input, low-emission economies (Cambodia, Laos, Myanmar); (2) moderately intensive systems (Malaysia, Thailand, the Philippines, Vietnam); (3) a high-pesticide profile (Brunei); and (4) a high-emission, high-output outlier (Indonesia). Principal Component Analysis confirms the cluster structure and highlights variation in emission efficiency. The findings show that similar agroecological contexts can yield divergent environmental outcomes, emphasizing the role of policy and technology. This study provides the first region-wide, data-driven typology of agricultural sustainability in Southeast Asia using HCA.
Top Global Concrete-Producing Countries: A Hierarchical Cluster Analysis of Concrete Production, CO2 Emissions, and Economic Growth Hilal, Iin Shabrina; Idroes, Ghalieb Mutig
Heca Journal of Applied Sciences Vol. 3 No. 2 (2025): September 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v3i2.314

Abstract

Concrete production plays a vital role in infrastructure and economic development, yet it remains one of the most significant sources of global CO2 emissions. This study focuses on the top 10 concrete-producing countries, using variables such as concrete production (CP), carbon dioxide (CO2) emissions, and gross domestic product (GDP) as a proxy for economic growth. Using hierarchical cluster analysis, we categorize the countries into three distinct groups based on the combined metrics. Cluster 1 includes developing and transitional economies such as India, Indonesia, Brazil, Egypt, Russia, Turkey, and Vietnam, which exhibit moderate levels of CP and GDP alongside relatively low CO2 per capita. Cluster 2, represented by China and Saudi Arabia, demonstrates high levels of CP and CO2, coupled with moderate to high GDP, reflecting intensive industrial activity and rapid development. Cluster 3, which includes only the United States, is characterized by high GDP, moderate CP, and persistently high CO2, indicating a stable developed economy that maintains its prosperity through infrastructure upkeep rather than rapid growth. The findings reveal how these three indicators interact across different stages of development and emphasize the importance of tailored sustainability strategies.
Statistical Assessment of Human Development Index Variations and Their Correlates: A Case Study of Aceh Province, Indonesia Sasmita, Novi Reandy; Phonna, Rahmatil Adha; Fikri, Mumtaz Kemal; Khairul, Mhd; Apriliansyah, Feby; Idroes, Ghalieb Mutig; Puspitasari, Ayu; Saputra, Fachri Eka
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.v1i1.14

Abstract

The Human Development Index (HDI) provides a holistic measure of human development in a country or locality. This study aims to identify factors correlated with changes in the Human Development Index and analyze changes in the distribution of the Human Development Index in Aceh Province from 2012 to 2022. Apart from the Human Development Index as the variable used in this study, five variables are used in this study as indicators: Life Expectancy, Gross Regional Domestic Product (GRDP), Per Capita Expenditure, Average Years of Schooling, and Expected Years of Schooling as socioeconomic factors. This research uses an ecological study design. Data was sourced from the "Aceh in Figures" report by the Central Bureau of Statistics of Aceh Province. The statistical methods used were descriptive statistics, the Shapiro-Wilk test for normality, the Spearman test for correlation analysis, the Wilcoxon one-sample test for data distribution, and the Kruskal-Wallis test to compare distributions. Based on the correlation analysis, the study revealed that the five socioeconomic variables tested showed a significant positive correlation with changes in the HDI in Aceh Province (p-value < 0.05). In addition, the difference analysis showed a significantly different distribution of HDI across the years studied (p-value < 0.05), with a pattern of increasing HDI observed from the beginning to the end of the study period. The recommended based on finding of the study is policymakers and stakeholders focus on strategies that enhance the positive correlates identified Finally, these results provide important and structured insights into the role of factors in HDI change.
Exploring Indonesia's CO2 Emissions: The Impact of Agriculture, Economic Growth, Capital and Labor Maulidar, Putri; Fitriyani, Fitriyani; Sasmita, Novi Reandy; Hardi, Irsan; Idroes, Ghalieb Mutig
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.v1i1.22

Abstract

This study examines the dynamic impact of agriculture, economic growth, capital, and labor on carbon dioxide (CO2) emissions in Indonesia from 1990-2022. Employing the Autoregressive Distributed Lag (ARDL) method, the findings indicate that agriculture plays a substantial role in decreasing CO2 emissions in the short and long run. Additionally, a consistent positive correlation exists between economic growth and CO2 emissions, underscoring the difficulty in decoupling economic progress from its environmental repercussions. Capital formation, on the other hand, exerts a noteworthy negative influence on CO2 emissions, particularly in the long run, implying that increased investment in capital formation, potentially in environmentally friendly technologies, could contribute to a gradual reduction in emissions. However, the expanding labor is identified as a significant driver of CO2 emissions, particularly in the long run. Highlighting the challenges associated with mitigating the environmental impact of workforce growth. Furthermore, the Granger causality results indicate unidirectional causality from CO2 emissions and labor to agriculture, from agriculture to economic growth and capital formation, and from economic growth to capital formation. Therefore, promoting sustainable agriculture, aligning economic growth with green technologies, incentivizing eco-friendly investment, integrating comprehensive planning, and maintaining flexible policies are crucial for Indonesia's effective environmental and economic management.
How Is Research Connecting Artificial Intelligence, Sustainability Governance, and Agri-Food Supply Chains Evolving? A Bibliometric Analysis Salim Fazli, Qalbin; Isaack Delya, Mussa; Hironimus Kihwili, Erick; Qashmal, Muhammad; Shabrina Hilal, Iin; Idroes, Ghalieb Mutig
Indatu Journal of Management and Accounting Vol. 3 No. 2 (2025): December 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijma.v3i2.368

Abstract

This study examines the development of research situated at the intersection of artificial intelligence, sustainability governance, and agri-food supply chains through a comprehensive bibliometric analysis of 988 Scopus-indexed articles published between 2017 and 2025. This time range was selected because scholarly attention to artificial intelligence in sustainability and agri-food systems began to intensify after 2017, alongside the emergence of Industry 4.0, data-driven governance frameworks, and circular economy agendas, allowing the analysis to capture both the formative and consolidation phases of this research domain. A structured search, screening, and eligibility process was applied to ensure thematic relevance and methodological rigor, followed by performance analysis and science-mapping techniques using VOSviewer, CiteSpace, and complementary normalization procedures. The findings reveal accelerating publication growth, concentrated collaboration networks, and thematic convergence around digital sustainability, circularity, and data-driven supply-chain optimization. Keyword and citation structures indicate that the field increasingly integrates technological and environmental perspectives, although research contributions remain unevenly distributed across authors, institutions, and countries. The study highlights the emergence of a more coherent knowledge base while underscoring the need for broader participation and deeper conceptual synthesis. These insights provide a consolidated foundation for guiding future work toward stronger theoretical development and more impactful applications in sustainable agri-food systems.
From Control to Coexistence: Reframing Integrated Pest Management under Climate and Environmental Change Fazli, Qalbin Salim; Azis, Haikal; Delya, Mussa Isaack; Kihwili, Erick Hironimus; Idroes, Ghalieb Mutig; Idroes, Ghazi Mauer
Leuser Journal of Environmental Studies Vol. 4 No. 1 (2026): April 2026
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v4i1.409

Abstract

This study examines the evolution of research on integrated pest management (IPM) in relation to climate change and environmental impacts through a bibliometric analysis of Scopus-indexed publications from 2003 to 2026. By integrating publication trends, collaboration networks, keyword co-occurrence, and conceptual structure mapping, the study identifies a significant post-2019 expansion reflecting increasing global urgency toward sustainable agriculture. The findings reveal a structural shift from pesticide-dependent approaches to ecologically based and climate-adaptive strategies, with growing integration of biodiversity, ecosystem services, and agroecology within IPM frameworks. Conceptual analysis further indicates that IPM functions as a transitional bridge between conventional and sustainability-oriented paradigms. Despite expanding international collaboration, research contributions remain geographically concentrated, highlighting a mismatch between knowledge production and vulnerability to climate-driven pest risks. The study underscores an ongoing paradigm transition and emphasizes the need for inclusive, context-specific, and climate-resilient IPM strategies.
N-Shaped or Inverted N-Shaped EKC? The Role of Renewable and Non-Renewable Energy in Environmental Sustainability Idroes, Ghalieb Mutig; Fakher, Hossein Ali; Hilal, Iin Shabrina; Wiranatakusuma, Dimas Bagus
Ekonomikalia Journal of Economics Vol. 4 No. 1 (2026): April 2026
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v4i1.400

Abstract

Climate change and global warming have become urgent challenges for all nations. Rapid population growth continues to raise energy demand, generating outputs that often create negative externalities and worsen environmental conditions. The Ecological footprint (EFP) and carbon dioxide (CO2) emissions are key indicators of environmental quality, with higher levels of these indicators generally reflecting a deterioration in environmental conditions. This study examines the effects of economic growth, renewable energy, and non-renewable energy on Indonesia’s environmental quality from 1965 to 2023 using the Autoregressive Distributed Lag (ARDL) approach, Granger causality and wavelet coherence analysis. The results reveal Environmental Kuznets Curve (EKC) dynamics, with an N-shaped EKC for the ecological footprint and an inverted N-shaped EKC for CO2 emissions. Capital formation reduces both EFP and CO2 emissions, while renewable energy significantly decreases CO2 emissions. Granger causality analysis shows directional relationships between economic growth, energy use, and environmental quality. Wavelet coherence results indicate strong co-movement between economic growth and non-renewable energy with EFP and CO2, confirming that fossil-fuel-driven expansion remains the main driver of degradation. In contrast, renewable energy and capital formation show negative coherence with environmental indicators, reflecting their growing role in mitigating ecological stress. Overall, the findings highlight Indonesia’s dual challenge of sustaining economic growth while curbing long-term environmental degradation, emphasizing the need for structural reforms, greater investment in renewable energy, and stronger environmental governance to ensure a sustainable development path.
Co-Authors Afjal, Mohd Agustina, Maulidar Ali, Najabat Amalina, Faizah Apriliansyah, Feby Attari, Muhammad Umer Quddoos Ayu Puspitasari, Ayu Azis, Haikal Bani, Nor Yasmin binti Mhd Bruyn, Chané de Chairunnisa, Rizka Çoban, Mustafa Necati Dahlia, Putri Delya, Mussa Isaack Devi, N. Chitra Duwal, Niroj Eddy Gunawan, Eddy Eko Suhartono Emran, Talha Bin Fadila, Sintia Fajri, Irfan Fakher, Hossein Ali Fazli, Qalbin Salim Fijay, Ade Habya Fikri, Mumtaz Kemal Fitriyani Fitriyani Furqan, Nurul Ghazi Mauer Idroes Hadiyani, Rahmilia Hafizah, Iffah Hamaguchi, Yoshihiro Hapzi Ali Hardia, Natasha Athira Keisha Hidayatullah, Ferdy Hironimus Kihwili, Erick HUMAM, RAIS AULIA Idroes, Ghifari Maulana Idroes, Rinadi Iin Shabrina Hilal Irsan Hardi Irvanizam, Irvanizam Isaack Delya, Mussa Kadri, Mirzatul Khairan Khairan Khairul, Mhd Kihwili, Erick Hironimus Kusumo, Fitranto Lala, Andi Majid, M. Shabri Abd Majumder, Shapan Chandra Mardayanti, Ulfa Marsellindo, Rio Maulana, Aga Maulana, Ar Razy Ridha Maulidar, Putri Mirza, Muhammad Alfin Falha Muhammad Subianto Muksalmina Muksalmina Mursyida, Waliam Nghiem, Xuan-Hoa Nurleila, Nurleila Pernici, Andreea Phonna, Rahmatil Adha Prasetio, Rasi Qashmal, Muhammad Ray, Samrat Razief Perucha Fauzie Afidh Rimal Mahdani Rinaldi Idroes Ringga, Edi Saputra Salim Fazli, Qalbin Salimullah, Abul Hasnat Muhammed Saputra, Fachri Eka Saputra, Jumadil Sasmita, Novi Reandy Sikdar, Asaduzzaman Sofyan Syahnur Sofyan, Rahmi Souvia Rahimah Stancu, Stelian sufriani, sufriani Sugara, Dimas Rendy Sugeng Santoso Suhendrayatna Suhendrayatna Suriani Suriani Suwal, Sunil Syahyana, Ahmad T. Zulham Teuku Rizky Noviandy Thahira, Zia Utami, Resty Tamara Wiranatakusuma, Dimas Bagus Zahriah, Zahriah Zhilalmuhana, Teuku Zikra, Naswatun