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The Effect of Plant Characteristics on CO2 Emission Factor Development: A Case Study of Coal-Fired Power Plants in Indonesia Prakarsa, Widya Utama; Dewi, Kania
Journal of Community Based Environmental Engineering and Management Vol. 9 No. 1 (2025): March 2025
Publisher : Department of Environmental Engineering - Universitas Pasundan - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jcbeem.v9i1.18935

Abstract

The emission factor (EF) describes the relationship between pollutants released into the atmosphere and associated activities. Developing specific EFs is essential for accurate emission calculations in the industrial sector, particularly in coal-fired power plants (CFPPs), a major source of emissions in Indonesia. This study aims to develop specific CO2 EFs for CFPPs in Indonesia by analyzing the influence of power plant characteristics, such as technology type and age, on the EF values. The EFs, expressed in tons of CO2 per unit of energy produced (t TJ-¹), are based on data from 153 units across 66 CFPPs in Indonesia. Five technology types were included in the analysis: ultra-supercritical, super-critical, subcritical-pulverized coal combustion, subcritical-fluidized bed combustion and subcritical–stoker. The study compares the resulting CO2 EFs with the IPCC-2006 default value for sub-bituminous coal and Indonesia’s national EF for medium-quality coal. The average CO2 EF for Indonesian CFPPs was 100.16 t TJ-1, higher than the IPCC-2006 default value (96.1 t TJ-1) but slightly lower than Indonesia’s national EF (100.575 t TJ-¹). A statistical test revealed significant differences between technology and age groups, but post-hoc analysis showed no strong correlation was found between these characteristics and the EF values within specific groups. This indicates that the EF, based on fuel characteristics, is not directly influenced by these plant characteristics. It is hoped that the CO2 EF values obtained from this study will better represent actual conditions, provide a more accurate emission calculations and supporting the development of better emission inventories for cleaner energy generation.
Quantification Of Greenhouse Gas Emissions in a Cement Company and System Dynamics Modeling Toward Carbon Neutral Harijanto, Rizky Tazkia Arethusya; Dewi, Kania; Wahyudi, Arifuddin
Journal of Community Based Environmental Engineering and Management Vol. 9 No. 1 (2025): March 2025
Publisher : Department of Environmental Engineering - Universitas Pasundan - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jcbeem.v9i1.20395

Abstract

The cement industry is one of the sectors that produces carbon dioxide (CO2) emissions due to its raw material processing and energy requirements. CO2, as a greenhouse gas (GHG) emission, contributes to global warming, leading to environmental, health, and economic losses. To address these issues, Indonesia is committed to reducing GHG emissions in the industrial sector by 2050. To effectively plan for the reduction of GHG emissions generated by companies, this study aims to quantify emissions from a cement company, representing the cement industry in Indonesia, to understand the current state of the company's carbon footprint and identify feasible mitigation measures. The cement industry utilizes a GHG quantification system to calculate emissions from raw material processing, thermal energy consumption, and electricity purchases. The calculation results from a cement company are used for system dynamics modeling with Vensim PLE software for the period from 2021 to 2050, under business-as-usual (BAU) conditions with various emission reduction strategies. The results show that GHG emissions under BAU conditions with emission reduction strategies do not achieve carbon neutrality by 2050. More intensive adoption of decarbonization technologies, research on process optimization, and government policies such as carbon taxes and carbon trading are required to achieve carbon neutral goals.
Pengembangan Keterampilan Kewirausahaan Siswa Sekolah Dasar Melalui Program Market Day Dewi, Kania; Ramdan Samadi, Mochammad; Hermansyah, Yus; Nurishlah, Laesti
MURABBI Vol. 2 No. 2 (2023): Jurnal Murabbi
Publisher : Prodi PGMI STAI Sabili Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69630/jm.v2i2.27

Abstract

This study explores the development of entrepreneurial skills in elementary school students through the Market Day program. Using a qualitative approach with a literature study method, this research analyzes various sources to evaluate the impact and effectiveness of the program. Market Day provides a platform for students to directly experience entrepreneurial activities, including planning, production, marketing, and sales. The findings show that Market Day significantly enhances students' understanding of business concepts and fosters their interest in entrepreneurship. Additionally, with the support of teachers and parents, students gain meaningful and relevant learning experiences, preparing them to face real-world challenges. This study emphasizes the importance of integrating practical programs like Market Day into the curriculum to develop entrepreneurial skills from an early age, helping students become more independent and innovative individuals in the future.
Dispersion Modeling of Gas Emissions and TSP with AERMOD at Coal-Fired Power Plant in East Java and Evaluation of Health Risks Assessment Bestita, Nasyrah Shader; Dewi, Kania
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i8.61504

Abstract

Coal-fired power plants (CFPPs) have significant negative environmental impacts due to emissions from non-fugitive sources like stacks. This research aims to predict the concentration, dispersion patterns, and health risks of pollutants emitted from these plants, focusing on SO₂, NOₓ, and TSP using the AERMOD model. Meteorological and terrain data were processed through AERMET and AERMAP. Results indicate that pollutants mainly disperse to the east and south, with peak concentrations 1.5 to 2 km south of the source. SO₂ concentrations reached 15,121.18 µg/m³ (1-hour), 5,740.66 µg/m³ (24-hour), and 287.67 µg/m³ (annual), exceeding regulatory limits. NOₓ peaked at 15,589.02 µg/m³ (1-hour), 5,782.41 µg/m³ (24-hour), and 288.48 µg/m³ (annual), also surpassing limits. TSP concentrations peaked at 330.30 µg/m³, exceeding the 24-hour limit. Model validation showed good accuracy for SO₂ but overestimated NOₓ and underestimated TSP. Health risk assessments identified 23 high-risk locations for SO₂ and one for NOₓ during 24-hour exposure, while TSP posed no significant risk. Recommendations include improving model accuracy by incorporating fugitive sources and chemical transformation modules to enhance air quality management in complex terrains.
Pengembangan Sistem E-Learning Inklusif untuk Pesantren dan Pendidikan Nonformal: Desain Teknologi Pembelajaran Berbasis Keunikan Lembaga Islam Tradisional Ihsan, Mahlil Nurul; Solahudin, Mohamad Nizan; Riyanti, Riyanti; Dewi, Kania; Putri, Sindi Lestari
ALACRITY : Journal of Education Volume 5 Nomor 2 Juni 2025
Publisher : LPPPI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52121/alacrity.v5i2.855

Abstract

Tujuan dari penelitian ini adalah untuk mengembangkan sistem e-learning inklusif yang sesuai dengan keunikan pesantren dan lembaga pendidikan nonformal Islam, guna mendukung pendidikan Islam yang lebih efektif dan adaptif di era digital. Penelitian ini menggunakan metode library research, yang mengkaji berbagai literatur dan studi kasus mengenai penerapan e-learning di lembaga pendidikan Islam tradisional, termasuk pesantren. Hasil penelitian menunjukkan bahwa sistem e-learning yang dirancang khusus untuk pesantren harus mempertimbangkan karakteristik unik pesantren, seperti interaksi personal dan pembelajaran berbasis pesantren. Teknologi pembelajaran berbasis digital, seperti platform pembelajaran online yang dapat diakses secara fleksibel, memiliki potensi besar untuk meningkatkan kualitas pendidikan di pesantren dan lembaga pendidikan nonformal Islam. Implikasi dari penelitian ini adalah pentingnya pengembangan sistem e-learning yang inklusif, ramah pengguna, dan sesuai dengan kebutuhan budaya serta tujuan pendidikan Islam tradisional.
PREDICTION OF CARBON DIOXIDE EMISSION FROM ELECTRICITY GENERATION IN ASEAN Triani, Meiri; Dewi, Kania; Ediansjah , Addina Shafiyya
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 6, NUMBER 1, APRIL 2023
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v6i1.14810

Abstract

The Coal-Fired Power Plants with low-emissions plants in the power sector can avoid nearly 800 million tonnes CO2 by 2030. The number of populations, Gross Domestic Product (GDP), electricity generation, NDC, and relevant energy policies influenced the prediction of Carbon Dioxide (CO2) emission from electricity generation. Aim: The objective is to analyze trends of CO2 growth related to electricity generation activities from countries in ASEAN with an emphasis on identifying the factors that influence it and evaluating the effectiveness of existing decarbonization policies in AMS and developing suitable strategies to reduce future CO2 emissions. Methodology and Result: Predicting CO2 emissions is conducted using three approaches by considering the newest NDC and energy policies, conducted by descriptive and quantitative analysis based on secondary data of (1) general information on ASEAN Member States (AMS), (2) information on power plants, (3) information on fuel use in electricity generation, and (4) decarbonization policies in AMS. Results indicated that the availability of potential energy sources (coal/oil/gas/RE) influences the dominant energy used in AMS Prediction of CO2e emission in the 2020 to 2040 period identified Vietnam as one of the highest CO2e emitters (380,1 Mt CO2e) in the electricity sector by 2030. Conclusion, significance and impact study: AMS needs to make a more aggressive energy policy to reduce CO2 level significantly, achieving the 2050 net zero transition targets. Ultimately, the shifting from coal-fired electricity plants to other fuel sources with a lower emission factor proves to be the most significant factor towards emission reduction.
Pengaruh Budaya Populer terhadap Pembentukan Sikap Kewarganegaraan di Kalangan Remaja Azhar, Shofy Nurul Karimah; Dewi, Kania; Arima, Haura; Ilhamy, Muhamad Fito; Supriyono, Supriyono
Jurnal Pendidikan Tambusai Vol. 9 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini membahas pengaruh budaya populer terhadap pembentukan sikap kewarganegaraan di kalangan remaja. Dengan adanya perkembangan teknologi dan akses media sosial yang luas, remaja terpapar berbagai konten budaya yang dapat memengaruhi pandangan mereka terhadap kewarganegaraan. Tujuan penelitian ini adalah untuk menggambarkan dampak elemen-elemen budaya populer, seperti media sosial dan influencer, dalam membentuk sikap kewarganegaraan. Metode yang digunakan adalah penelitian deskriptif kualitatif, dengan pengumpulan data melalui kuesioner yang diisi oleh 15 responden. Hasil penelitian menunjukkan bahwa mayoritas responden merasa terpengaruh oleh konten budaya populer dan berpendapat bahwa media sosial berperan penting dalam membentuk sikap kewarganegaraan mereka. Kesimpulannya, elemen-elemen budaya populer, terutama media sosial, dapat berfungsi sebagai alat untuk meningkatkan kesadaran kewarganegaraan remaja. Oleh karena itu, disarankan agar pendidikan formal dan non-formal bekerja sama dalam menyisipkan nilai-nilai kewarganegaraan didalamnya.
Greenhouse Gasses Inventory on Textile Finishing Industry PT X Efendy, Ryan Phillip; Dewi, Kania
Journal of Community Based Environmental Engineering and Management Vol. 8 No. 1 (2024): March 2024
Publisher : Department of Environmental Engineering - Universitas Pasundan - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jcbeem.v8i1.10442

Abstract

The textile industry has the biggest impact on environmental pollution in the world, and is responsible for 10% of global carbon production. Most of the waste in the textile industry, is generated from the dyeing process and textile processing. PT X is a textile finishing industry, that focuses on finishing processes like dyeing and textile processing. In this research, GHG (greenhouse gasses) emission inventory was carried out to see how much GHG generated in the textile finishing industry. The inventory will focus on CO2, CH4, and N2O from generator, curing machine, operational vehicle, and electricity usage. The inventory methodology was based on IPCC 2006, that stated to determine GHG emission, an activity data and emission factor from that source is needed. This emission inventory results on the total emissions of 666.38 tonCO2eq or 258.629 kgCO2eq/tonproduct GHG emission from PT X in 2021. The GHG emission in PT X are dominated by CO2 gas. Which most of comes from electricity usage source. GHG emission produce by PT X are not high compared with similar industries, but can be improved further more with mitigation measures such as installing a solar panel, and constructed wetland.
Modelling of Sulfur Dioxide Removal by Seawater in a Flue Gas Desulfurization Absorber Dewi, Kania; Andreasen, Anders; Ediansjah, Addina Shafiyya
Journal of Engineering and Technological Sciences Vol. 56 No. 4 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.4.7

Abstract

Although Indonesia has set a target for increasing the use of renewable energy for electricity generation, the use of coal as a source of energy will still dominate at least until 2040. Sulfur dioxide (SO2) along with other gases and particulates released from the use of coal in coal-fired power plants (CFPPs) may cause air pollution. The use of seawater, an abundant source of absorbent in a maritime country such as Indonesia, in flue gas desulfurization (SWFGD) absorbers, is an economical option for treating SO2 in an absorption tower compared to other alkaline chemicals, e.g. limestone (CaCO3) or magnesium hydroxide (Mg(OH)2). A model, which correlates the equilibrium of the reaction with the salinity of the absorbent, was developed to predict the sulfur dioxide scrubbing process inside an SWFGD absorber. The simulation also took into account the mass and energy balance during the scrubbing process. The calibration using field SWFGD data showed a good correspondence between field data and modelling results.