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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.