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All Journal J SIG (Jurnal Sains Informasi Geografi) Journal of Engineering and Technological Sciences
Firmansyah, Anugrah Jorgi
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Electrical & Electronics Engineering Energy Environmental Science

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DAMPAK EL NIÑO DAN LA NIÑA TERHADAP SUHU MAKSIMUM DI KABUPATEN TEMANGGUNG Firmansyah, Anugrah Jorgi; Nurjani, Emilya; Sekaranom, Andung Bayu
J SIG (Jurnal Sains Informasi Geografi) Vol 8, No 1 (2025): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v8i1.4385

Abstract

This study analyzes the impact of the El Niño and La Niña phenomena on the maximum temperature in Temanggung Regency in the period 1995 to 2024. The El Niño and La Niña phenomena can affect temperature and rainfall which have the potential to change local climate conditions and cause hydrometeorological disasters. The method used in this study is spatial analysis using Google Earth Engine, ArcGIS, RStudio software, as well as monitoring the Oceanic Niño Index (ONI) to identify the El Niño and La Niña phases. The maximum temperature data obtained from the ERA5 reanalysis was corrected with AWS observation data. The mean ratio bias correction method is quite effective in improving the average correlation value of the ERA5 dataset in Temanggung Regency against AWS observation data. The previous average correlation value of -0.1 (before bias correction) strengthened to 0.685 (after bias correction). The data correction factor for ERA5 was 1.3204, which was applied to all ERA5 data points and can improve the MBE, RMSE, MAE, and PBIAS values to be smaller approaching zero so that the maximum temperature data from ERA5 can be used for data processing in this region. The results of the study indicate that the El Niño phase causes an increase in maximum temperature, while the La Niña phase tends to decrease the maximum temperature. Significant maximum temperature anomalies were recorded during the El Niño phase, with the highest temperature reaching 41°C in October or increasing by around 7.89% compared to the neutral phase, which can increase the potential risk of drought. During the La Niña phase, the average largest decrease in temperature was in November at -1.53°C or around 4.14% compared to the neutral phase. This study provides important insights for climate change mitigation planning in the Temanggung area, especially in the agriculture and health sectors.
Emissions Analysis of Railway Transportation in Java Island Indonesia for Climate Change Mitigation – Study Case in 2023 Nurjani, Emilya; Astuti, Bernadetta Indri Dwi; Firmansyah, Anugrah Jorgi; Fawzia, Annisa Ayu; Sekaranom, Andung Bayu; Suarma, Utia
Journal of Engineering and Technological Sciences Vol. 58 No. 1 (2026): February 2026 (In Progress)
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.2026.58.1.3

Abstract

Rail transportations are among the most environmentally friendly modes of transportation due to their low per capita emissions and carbon footprint. This study aims to analyze the total CO2 emissions and per capita emissions of long-distance and local rail transports operating on the island of Java in 2023. Emission calculations were conducted using the IPCC methodology and Sebos’s approach, incorporating factors such as locomotive types, which predominantly use B30 biodiesel and electricity as energy sources. The results are presented in the form of spatial maps for a comprehensive visualization. Key findings indicate that high emissions and per capita emissions are not exclusively associated with rail transports operating in urban areas. Areas with high long-distance train emissions (> 30,000 tons of CO2) are OP VI Yogyakarta and OP VIII Surabaya. High per capita emissions (> 0.005 tons of CO2/capita/year) are OP I Jakarta and OP VII Madiun. Instead, factors such as travel frequency, route length, locomotive type, fuel type, and passenger volume significantly influence emission outcomes. Commuter trains contribute higher emissions than long-distance trains and local non-commuter trains. The highest total emissions were recorded for the Jabodetabek Commuter Line, amounting to 14,545,676 tons of CO2. This line also exhibited the highest per capita emissions due to its high operational frequency and daily service schedule. These findings highlight the need for strategies to optimize rail transports operations and minimize environmental impacts, particularly in high-frequency commuter services.
Co-Authors Andung Bayu Sekaranom Astuti, Bernadetta Indri Dwi Emilya Nurjani Fawzia, Annisa Ayu Utia Suarma