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All Journal Jurnal Teknik ITS Jurnal Sains dan Seni ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Eksergi: Chemical Engineering Journal Konversi Journal of Environment and Sustainability Syntax Literate: Jurnal Ilmiah Indonesia Research of Environmental Science and Engineering Devotion: Journal of Research and Community Service Journal of Social Research Jurnal Teknologi Lingkungan Lahan Basah Envirotek : Jurnal Ilmiah Teknik Lingkungan Applied Research in Science and Technology Equivalent: Jurnal Ilmiah Sosial Teknik Journal Serambi Engineering (JSE)
Joni Hermana
Institut Teknologi Sepuluh Nopember Surabaya
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Public Health Social Sciences Other

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Emission Inventory of Central Processing Plant in the Oil and Gas Industry in Central Sulawesi Rasyidi, Achmad Alvinsyah; Syafei, Arie Dipareza; Hermana, Joni; Assomadi, Abdu F.
Devotion : Journal of Research and Community Service Vol. 5 No. 7 (2024): Devotion: Journal of Community Service
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v5i7.758

Abstract

The Central Processing Plant (CPP) in Central Sulawesi, Indonesia, is one of the largest oil and gas industries in the world. This study aims to determine the magnitude of the greenhouse gas emission load and identify the operational facilities that produce the highest GHG emissions from CPP Donggi. The study results show an emission inventory for 2021 is 7.609ton CO2-eq per year or 365.78 tonnes of CO2 per TJ in 2021, for 2022 is 8.084ton C2Eq/355.50 tonnes CO2/TJ, and dan for 2023 is 7.565ton. The three highest carbon emission-generating facilities are the Gas Turbine Generator, Acid Gas Removal Unit, and Oil Heater. The research contributes to understanding the scale and distribution of greenhouse gas emissions from a specific industrial source and aids in directing efforts for emission reduction.
INUNDATION PREDICTION AS THE EFFECT OF RISING MEAN SEA LEVEL AND HIGH ASTRONOMICAL TIDE IN NORTH JAKARTA BASED ON 2013-2021 TIDAL DATA Zahra, Fathima Asyahidatu; Hermana, Joni
Devotion : Journal of Research and Community Service Vol. 5 No. 7 (2024): Devotion: Journal of Community Service
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v5i7.761

Abstract

Future sea level rise in North Jakarta is one of the potential hazards that threaten the safety of coastal communities and infrastructure. Prediction of sea level rise is needed to reduce the vulnerability of the people living on the coast. This study was conducted to estimate the height of sea level rise in 2045 using linear regression analysis of hourly tidal data for 2013-2021 coupled with the highest astronomical tide value from the results of tidal harmonic analysis in 2021 using the t_tide application in matlab. The water elevation was then projected on the Digital Elevation Model to obtain the inundation area in 2045. The result of this study is an inundation area of 56 km2 in North Jakarta in 2045 due to an increase in total sea level of 117 cm at high tide.
Evaluasi Implementasi Fasilitas Intelligent Transport System di Kota Surabaya Fazrian, Sitti Adiyaksa; Hermana, Joni
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i2.57650

Abstract

Due to the rapid growth of motorized vehicles, Surabaya City faces significant challenges related to traffic congestion and greenhouse gas (GHG) emissions. This growth harms air quality and worsens climate change. Therefore, finding practical solutions to reduce GHG emissions in the transportation sector is important. One potential solution is the implementation of an Intelligent Transport System (ITS), which can improve traffic management and transportation efficiency. This study aims to evaluate the effectiveness of ITS implementation in reducing GHG emissions in Surabaya City. The research methods used include primary data collection through interviews and questionnaires and secondary data obtained from official reports and the implemented ITS system. The analysis was carried out by considering three main aspects: technical, environmental, and institutional, using the CLIMACT Prio method to determine the priority of appropriate mitigation actions. The study's results indicate that implementing an Intelligent Transport System (ITS) in Surabaya City can reduce greenhouse gas (GHG) emissions through several main approaches. ITS optimizes traffic management by reducing congestion and idle time, reducing emissions. In addition, ITS increases the use of public transportation and supports the integration of environmentally friendly vehicles, such as electric vehicles, which reduce dependence on fossil fuels.
The Impact of Climate Change Projections on Flood Vulnerability of Electrical Infrastructure in the Kapuas River Basin, West Kalimantan Indradjanue, Khotimah Ratna; Hermana, Joni
Journal of Social Research Vol. 5 No. 3 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i3.3055

Abstract

Climate change has increased the frequency and intensity of extreme hydrometeorological events, particularly floods, which have the potential to disrupt the reliability of the electricity system in West Kalimantan. This study aims to examine historical rainfall conditions and projections until 2060, map flood risk in the Kapuas watershed, and assess its impact on the electricity system. Rainfall analysis was conducted using CMIP6 climate projection data based on the SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios for the 2026–2060 period. Flood risk mapping was carried out spatially using the Weighted Linear Combination (WLC) approach, incorporating parameters such as rainfall, land slope, land cover, and soil texture. Furthermore, flood risk maps were overlaid with transmission infrastructure and substations in the Kapuas watershed to identify vulnerability levels. The results show that the Kapuas watershed will remain in the very wet climate category until 2060, with more than 300 rainy days per year and an increasing tendency for extreme rainfall intensity, especially under the SSP5-8.5 scenario. Flood risk mapping indicates that most areas of the Kapuas watershed consistently fall within the high to very high flood risk category, particularly in downstream and lowland regions. The overlay results reveal that more than 85% of transmission towers and nearly all substations are located within high flood risk zones.
Assessment of Climate Change Vulnerability in the Muara Karang Power Generation Unit Rahmanissa, Aulia; Hermana, Joni
Journal of Social Research Vol. 5 No. 3 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i3.3064

Abstract

The Muara Karang Generation Unit in North Jakarta is located in a coastal area that is highly vulnerable to climate change, particularly due to rising ambient air temperatures, sea-level rise, and coastal inundation. These impacts have affected the plant’s operational performance, including reduced efficiency of gas and steam turbines, increased cooling system loads, and the occurrence of seawater intrusion within the power plant area. Such conditions have the potential to disrupt the reliability of electricity supply to the strategic areas of DKI Jakarta. Therefore, a comprehensive climate vulnerability assessment is required to evaluate the level of risk, as well as the technical and financial implications of climate change on power plant performance. This study employs the Climate Vulnerability Index (CVI) approach, which comprises three components: exposure, sensitivity, and adaptive capacity. Exposure analysis was conducted using historical data on ambient air temperature, sea surface temperature, and sea-level rise for the 1994–2024 period, along with CMIP6 climate projections for 2026–2060 under the SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios. Sensitivity was assessed based on reductions in generation capacity due to increased air and seawater temperatures, higher fuel consumption, and the risk of seawater intrusion. Adaptive capacity was evaluated through an assessment of existing climate change adaptation and mitigation measures implemented at the facility. All indicators were normalized and weighted to produce a composite vulnerability index value. The results of the climate vulnerability assessment, based on the parameters of ambient temperature, sea temperature, and sea-level rise at the Muara Karang Power Generation Unit, show index values of 0.36 in 2030 and 0.45 in 2050, corresponding to “low” and “moderate” vulnerability categories, respectively.
Dynamic System Modeling of PM₂.₅ Emissions and Concentrations in DKI Jakarta Based on BAU, Moderate, and Aggressive Scenarios Linggabinangkit, Chairil; Hermana, Joni
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 1 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i1.259

Abstract

Background: Rapid urbanization, increasing motor vehicle use, and high dependence on fossil-based energy sources have contributed to persistently elevated PM₂.₅ concentrations. Although various policies have been implemented, their long-term effectiveness under different intervention levels has not been sufficiently evaluated using an integrated and dynamic approach. Objective: This study aims to develop a system dynamics model to project PM₂.₅ emissions and concentration trends in DKI Jakarta up to 2040 under three scenarios: Business as Usual (BAU), Moderate, and Aggressive intervention. Method: A system dynamics modeling approach was employed by integrating key variables, including motor vehicle growth, electric vehicle (EV) adoption, electricity consumption, renewable energy penetration, and industrial activity. The model was calibrated using historical data from 2018 to 2023. Three scenarios were simulated: BAU without additional intervention, Moderate with approximately 20% EV penetration and a 30% renewable energy mix, and Aggressive with EV penetration of ≥50% and a renewable energy mix of ≥70%. Result: Under the BAU scenario, PM₂.₅ concentrations decline only marginally (approximately ±40% by 2040). The Moderate scenario achieves approximately ±60% reduction, though insufficient to meet optimal air quality standards. The Aggressive scenario demonstrates the most substantial impact, with reductions reaching approximately ±80%. Conclusion: Aggressive policy interventions combining high EV penetration and substantial renewable energy adoption are essential for significant PM₂.₅ reductions in DKI Jakarta. System dynamics modeling provides a robust framework for evaluating long-term air quality policies and supporting evidence-based decision-making.
Ecological Footprint and Carbon Footprint Analysis to Assess the Sustainability of the Barong Tongkok Region Spatially Gilberd Fredrik Mulu, Andrew; Hermana, Joni; Dipareza, Arie; Assomadi, Abdu Fadli
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 1 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i1.260

Abstract

Background: Barong Tongkok Subdistrict, West Kutai Regency, East Kalimantan, is experiencing increasing ecological pressure driven by population concentration, land-use change, and rising resource consumption, raising concerns about the region's environmental carrying capacity and long-term sustainability. Objective: This study aims to assess regional sustainability in Barong Tongkok Subdistrict using a spatially explicit approach that integrates the Ecological Footprint (EF), Carbon Footprint (CF), and Biocapacity (BC). Method: A quantitative approach was applied using household consumption surveys, land-cover data, emission factors, and Geographic Information Systems (GIS). The EF was calculated based on food consumption, resource use, and built-up land. The CF was estimated from household electricity consumption, LPG use, transportation fuel, and waste burning. BC was derived from land-cover-based productivity using yield and equivalence factors. Sustainability was evaluated through a Sustainability Index (SI), defined as the ratio between BC and the combined EF and CF. Result: The results indicate significant spatial variation in sustainability across villages. Geleo Baru Village exhibits the highest SI value (31.57), reflecting a strong ecological surplus supported by extensive natural land cover and low population pressure. Conversely, Rejo Basuki Village records the lowest SI value (0.023), indicating a severe ecological deficit due to limited land availability and intensive residential land use. Peripheral villages tend to show ecological surplus, while densely populated areas exceed local carrying capacity. Conclusion: The integration of EF, CF, and BC within a GIS framework effectively reveals spatial sustainability patterns, providing valuable insights for evidence-based regional planning and targeted strategies to improve local sustainability.
Co-Authors Abdu Fadli Assomadi Abdul Kahar Achmad Alvinsyah Rasyidi Ade Ayu Oktaviana Adhi Yuniarto Afifah Raudloh Anni'mah Alvin Pratama Annisa Jasmine Rudend Ardhi Rahmadhani Artama, Putu Assomadi, Abdu F. Boedisantoso, Rachmat Dipareza, Arie Fazrian, Sitti Adiyaksa Febri Indah Sri Utami Gilberd Fredrik Mulu, Andrew Haq, Guntur Ibnu I.D.A.A Warmadewanthi Ikhsan Buyung Arifin Indradjanue, Khotimah Ratna Ipung Fitri Purwanti Kasih Ditaningtyas Sari Pratiwi Lancur Setoaji Linggabinangkit, Chairil Maya Maharani Maya Maharani Minarti Oktafiani Pratiwi, Yeni Rachman, Fandi Nufinda Rahmanissa, Aulia Robertus Wisnu Wijaya Satria, Rendra Septian Hadi Susetyo, Septian Hadi Suebu, Elvis Franklin Syafe'i, Arie Dipareza Syafei, Arie Dipareza Widhi Asta Kartika Pratiwi Zahra, Fathima Asyahidatu