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INDONESIA
Indonesian Journal of Energy
Published by Purnomo Yusgiantoro Center
ISSN : 25491016     EISSN : 2549760X     DOI : -
Core Subject : Science,
Energy
The journal covers research with a strong focus on energy economics, energy analysis, energy modeling, and prediction, integrated energy systems, energy planning, and energy management. The journal also welcomes papers on related topics such as energy conservation, energy efficiency, energy innovation, energy technology, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, energy in buildings, energy finance, energy law and on economic and policy issues, also provided such topics are within the context of the broader multi-disciplinary scope of energy.
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Articles 98 Documents
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AI-Driven Carbon Pricing Optimization: A Geospatial Analysis Framework for Indonesia’s Energy Transition Arie W. Wijayanto; Salwa R. Putri; Yoga C. Putra; Natasya Afira; Fauzan F. Anggita; Jafar H. Aziz
Indonesian Journal of Energy Vol. 9 No. 1 (2026): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v9i1.289

Abstract

Indonesia faces a critical climate challenge as the world’s sixth-largest carbon emitter, with coal accounting for more than 60% of its electricity generation. Achieving its ambitious net-zero target by 2060 requires urgent action. While Indonesia has introduced various carbon pricing mechanisms to advance carbon neutrality, these initiatives demand sophisticated optimization across the archipelago’s diverse regions to balance emissions reduction with sustainable development goals. This research presents an innovative artificial intelligence framework that leverages geospatial big data to estimate carbon stock and inform pricing strategies while supporting Indonesia’s transition away from coal dependency. The framework integrates three key components: (1) a remote sensing-based Measurement, Reporting, and Verification (MRV) model that accurately quantifies carbon stocks across varied ecosystems; (2) an automated reporting system powered by generative Artificial Intelligence that enhances transparency and reduces bias in carbon accounting; and (3) a comprehensive analytics dashboard that visualizes dynamic carbon stock data to inform policy decisions. By addressing Indonesia’s geographical complexities through tailored carbon stock estimation policies and optimizing resource allocation across diverse ecological contexts, this framework provides a data-driven foundation for Indonesia to navigate its energy transition and meet its climate commitments through enhanced MRV systems and targeted green financing initiatives.
Ar-Rahnu Energy Cooperative (AREC): A Community-Based Microfinance Model for Green Development in Indigenous Aceh Nazhira Mustaqilla
Indonesian Journal of Energy Vol. 9 No. 1 (2026): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v9i1.290

Abstract

The tradition of gold dowries in Aceh has resulted in women owning significant amounts of gold, yet these assets often remain unproductive and are merely stored as passive savings. This study explores the Gala or Ar-Rahnu or Jeulamee tradition and proposes a community-based financing model that optimizes unproductive gold as capital for Energy Independent Villages in Aceh. The novelty of this research lies in introducing Jeulamee as an alternative financing mechanism for renewable energy. This approach has not been previously examined while designing a closed-loop ecosystem to ensure sustainable energy production at the community level. Employing a mixed methods approach, including Location Quotient, Dynamic Location Quotient, Shift Share, and Input-Output analysis, the study identifies strategic sectors for sustainable energy development and formulates the Ar-Rahnu Energy Cooperative concept. By integrating Islamic microfinance, indigenous cultural practices, and blockchain-based gold tokenization, this research contributes to the literature on green financing while offering practical implications for women’s economic empowerment, improved access to clean energy, and the advancement of inclusive and sustainable energy transitions in indigenous communities.
Monetizing Carbon Emissions: Advanced Strategies for Optimizing Carbon Economic Value Using Machine Learning and Geospatial Analysis Zenda O. Briantiko; Wahidya Nurkarim; Eko P. Wahyuddin; Muhammad Zulkarnain
Indonesian Journal of Energy Vol. 9 No. 1 (2026): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v9i1.296

Abstract

The transition to cleaner energy sources requires appropriate financial policies and regulations. One mechanism that supports this transition is carbon pricing, which encourages emissions reduction and creates economic opportunities through the carbon market. With its vast tropical forests, peatlands, and mangroves, Indonesia has significant potential for terrestrial carbon storage. However, using carbon revenue as a financial instrument to support the energy transition remains underexplored. Therefore, a quantitative analysis is needed to assess the potential carbon revenue under various pricing scenarios and its impact on clean energy investments and regional development. This study aims to (i) measure the potential economic value of carbon in East Java with greater precision and spatial detail using geospatial approaches and remote sensing technology, (ii) model predictions of carbon economic value for the forthcoming years by leveraging machine learning algorithms, aiming to obtain accurate, data-driven projections adaptable to land cover changes and policy shifts, and (iii) examine the relationship between carbon economic potential and social welfare such as poverty. The methods used in this research include remote sensing analysis to calculate Net Primary Productivity (NPP); machine learning techniques, such as LSTM and Neural Network, to forecast Carbon Economic Value (CEV) for future years; and clustering analysis to categorize regions based on socioeconomic conditions and CEV levels. From the results of this study, we found that the East Java government can utilize the economic value of carbon to reduce poverty from 9.79 percent to 5.75 percent. In addition, three regional clusters allow for the formulation more targeted policies for each regional group.
Effect of Variation of Sugarcane Bagasse and Salak Peel Composition on Moisture Content and Combustion Rate of Biomass Briquettes Diah A. P. Maiswari; Annisa K. Sari; Maharani Putri; Aisyah M. N. Azizah; Wanda Abliza; Mariyamah
Indonesian Journal of Energy Vol. 9 No. 2 (2026): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v9i2.301

Abstract

To the best of our knowledge, the combination of sugarcane bagasse and salak (or snake fruit) peel has never been formulated into biomass briquettes. Our study is the first to map the trade-off between moisture content and combustion rate across five blending ratios of these two materials. We evaluate the effect of varying compositions of sugarcane bagasse and salak peel on the moisture content and combustion rate of biomass briquettes as a means of utilizing agricultural waste for renewable energy. The briquettes were produced through a carbonization process at 400 °C, mixed with tapioca flour as a binder, molded, and dried. Five formulation ratios were tested: 100:0, 75:25, 50:50, 25:75, and 0:100 (bagasse: salak peel). Moisture content was determined based on the mass difference before and after drying, while the combustion rate was calculated from the mass change during the combustion process. The results showed that all briquette variations had a moisture content below 10%, with the lowest value of 7.00% in the 100% salak peel composition and the highest of 8.76% in the 100% sugarcane bagasse composition. The highest combustion rate of 0.27 g/min was obtained for the 100% sugarcane bagasse variant, while the lowest rate of 0.17 g/min was found in the 100% salak peel variant. Blend formulations such as 50:50 and 25:75 demonstrated balanced thermal performance, making them potential candidates for efficient and environmentally friendly solid fuels. These findings indicate that a combination of sugarcane bagasse and salak peel can be utilized as a sustainable raw material for briquettes with good combustion characteristics.  As a contribution, the baseline thermal characteristic data for the sugarcane bagasse and salak fruit peel mixture, along with the identified threshold of sugarcane bagasse composition (?75%) that causes briquettes to exceed the moisture content limit specified in SNI 01-6235-2000, can serve as an initial formulation reference for the development of biomass briquettes based on local agricultural waste.
Measuring Sustainability at the Climate-Energy Nexus Rajib K. Dolai
Indonesian Journal of Energy Vol. 9 No. 2 (2026): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v9i2.338

Abstract

Balancing climate change mitigation, secure and affordable energy supply, and sustained economic activity remains a major sustainability challenge. This study introduces the Climate–Energy Sustainability Index (CESI), a composite indicator that captures six normalized dimensions: adjusted net savings, carbon emissions per capita, carbon intensity of energy use, renewable energy share, energy use per capita, and climate stability measured through temperature anomalies. CESI employs geometric-mean aggregation to enforce non-substitutability across dimensions and to penalize unbalanced development paths. Mathematically, the index remains within a fixed range. The direction of the normalized component scores is preserved. It also shows conditional scale invariance under the given normalization framework. The index is applied to 76 countries over the period 1990–2023. The results reveal substantial cross-country and regional heterogeneity in climate–energy sustainability outcomes. The global average CESI shows a gradual long-term increase, although the trajectory is non-linear and marked by periodic fluctuations. Cross-country dispersion changed over time. It increased from 1993 to 2013 but declined by 2023. This shows a recent reduction in dispersion, rather than consistent long-term convergence. Europe shows the strongest regional performance. Its performance is also more consistent over time. South America performs relatively well, but its results vary more over time. Africa, Asia, and Oceania show weaker progress, with some variation across the years. At the country level, Italy, Panama, Chile, the United Kingdom, and Japan emerge as the top performers in 2023. Tuvalu, Trinidad and Tobago, and several African and small-island states remain at the lower end of the distribution. Scatter-plot analysis indicates that no single factor determines CESI performance. Adjusted net savings and renewable energy share show weak positive relationships with CESI, suggesting that greater savings or renewable deployment alone does not guarantee better sustainability outcomes. Energy use per capita, carbon intensity, and per capita CO? emissions display weak negative associations. Climate–energy sustainability depends on the combined interaction of cleaner energy structure, efficient energy use, and lower carbon dependence rather than improvement in any single indicator. CESI captures observed sustainability outcomes rather than policy effort or transition readiness. As a result, similar index values may reflect different development pathways.
Green Restructuring or Transition-Washing? : The AlamTri Resources Indonesia Paradox Anatasia Wahyudi
Indonesian Journal of Energy Vol. 9 No. 2 (2026): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v9i2.348

Abstract

Our study investigated the discrepancy between corporate sustainability narratives and operational realities within the Indonesian extractive industry, focusing on the strategic restructuring and rebranding of a major coal entity. We aimed to evaluate whether asset spin-offs and "green" rebranding effectively facilitated a genuine energy transition or served as defensive impression-management mechanisms. Our study contributes by extending the legitimacy trap concept from a local socio-political defense mechanism into a multi-scalar Environmental, Social, and Governance (ESG) setting. Employing a qualitative case study approach with interactive data analysis, we examined environmental, social, and financial performance metrics from 2022 to 2024. The findings suggest a notable gap between the company’s transition narrative and several reported operational indicators. Despite securing the highest domestic environmental awards, the entity's absolute greenhouse gas emissions and hazardous waste production continued to increase. We also noted a decline in social investment and new employee recruitment, indicating a neglect of the just transition principle. Crucially, we found that domestic administrative legitimacy may not have been sufficient to shield the company against global market pressures, as evidenced by the entity’s inclusion in international exclusion lists and the termination of strategic commercial contracts by global off-takers. We concluded that such "perception engineering" created a legitimacy trap, in which local compliance proved insufficient to mitigate global financial delegitimation. Our findings emphasized the urgent need for absolute decarbonization metrics over procedural administrative reporting. Moreover, domestic regulatory approval can accelerate rather than prevent international capital exclusion.
Finite Element Analysis of Structural Integrity and Fatigue Life of Char Removal System in High-Temperature Gasification Nina K. Supriatna; Agung T. Kuncoro; Bayu A. Saputro; Muhammad Iksanudin; Silviana Simbolon; Muhammad Yunus; Prima Zuldian; Agus Kismanto; Maulana Arifin; Raden I. Purawiardi
Indonesian Journal of Energy Vol. 9 No. 2 (2026): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v9i2.364

Abstract

Biomass gasification is a crucial technology for sustainable energy conversion; however, its continuous operation and overall efficiency are heavily dependent on the reliable extraction of solid by-products. This study investigates the structural integrity and fatigue life of a char removal system used in high-temperature biomass gasification. The system operates under severe thermo-mechanical conditions, including elevated temperatures and varying mechanical loads, which may lead to structural degradation and failure. A Finite Element Analysis (FEA) approach using ANSYS was employed to evaluate the performance of ASTM A36 steel under mechanical loads of 100 kg, 150 kg, and 200 kg, combined with thermal conditions of 800 °C, 1000 °C, and 1200 °C. Key parameters analyzed include equivalent stress, elastic strain, total deformation, safety factor, and fatigue life. The results indicate that while temperature variations have minimal influence on peak stress values, they significantly affect the distribution of strain and deformation due to material stiffness degradation. In contrast, mechanical loading has a dominant impact on structural performance, leading to increased stress, deformation, and reduced safety factors. Fatigue analysis reveals that while the structure maintains a theoretical infinite design life of 1 × 10? cycles across all loads, the minimum fatigue safety factor drops significantly from 2.92 at 100 kg to 1.46 at 200 kg. In conclusion, ASTM A36 steel is structurally adequate and can safely withstand the applied thermo-mechanical loads without premature fatigue failure. However, the reduced safety margins under elevated mechanical loads highlight the critical need for load control and targeted geometric reinforcements at structural joints to ensure long-term reliability. To ensure long-term reliability and operational safety in biomass gasification systems, it is imperative to implement targeted geometric reinforcements at connection points or substitute the standard carbon steel with high-temperature-resistant alloys.
Digitizing Renewable Energy Potential in Indonesia: A Strategic Map to Accelerate Investment Dian G. Cendrawati; Ahmad A. Fauzan; Ridha F. Iswahyudi; Muhammad F. Ridwan; V. Tri F. Harisetyawan
Indonesian Journal of Energy Vol. 9 No. 2 (2026): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v9i2.374

Abstract

Indonesia is committed to achieving net-zero emissions by 2060 in response to the global climate crisis caused by dependence on fossil fuels. Achieving this goal depends on having reliable baseline data, especially field-validated and accessible maps showing renewable energy potential. Currently, these maps are only available in static formats, making them difficult to use. This study updates the static maps by creating an interactive geoportal to improve data transparency and accessibility. The process includes three main steps: development, integration, and validation. During development, the wind energy map is generated using the Weather Research and Forecasting Four-Dimensional Data Assimilation (WRF FDDA) model at a 5 km horizontal resolution and interpolated to a 1 km grid using ordinary kriging. The solar energy map uses a similar method, with added land suitability analysis. The hydropower map is based on the dependable flow Q90, in accordance with SNI 8396:2019. The bioenergy map includes urban waste biomass, using Net Caloric Value (NCV) data, and biomass from crops grown on degraded land. All these maps are combined into a single, publicly accessible interactive geoportal. What makes this study unique is the integration of diverse renewable energy data sources into a single national geoportal, and the first consolidated documentation and evaluation of an operational national system of this kind, something not offered by global platforms such as the Global Wind Atlas or the Global Solar Atlas, or Indonesian studies that mostly assessed a single resource type in isolation. This geoportal provides a centralized and accessible database of Indonesia’s renewable-energy resources, improves the analytical basis for national and regional energy planning, is intended to reduce resource-risk uncertainty for investors, and supports Indonesia’s transition from target-based renewable-energy policy toward data-driven implementation.

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