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All Journal Indonesian Journal of Geography Majalah Geografi Indonesia OPSI Jurnal RISET Geologi dan Pertambangan Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Omni-Akuatika Jurnal Geografi, Edukasi dan Lingkungan Jurnal Mineral, Energi dan Lingkungan Forest and Society J SIG (Jurnal Sains Informasi Geografi) JURNAL GEOGRAFI Geografi dan Pengajarannya Jurnal Mineral, Energi dan Lingkungan Jurnal Penelitian Geografi (JPG) Jurnal Meteorologi dan Geofisika Journal of Engineering and Technological Sciences
Andung Bayu Sekaranom
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Physics Social Sciences

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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): Vol. 58 No. 1(2026): February
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.
Dampak El Niño Southern Oscillation (ENSO) Terhadap Anomali Curah Hujan Di Kabupaten Temanggung 1995 – 2024 Firmansyah, Anugrah Jorgi; Emilya Nurjani; Andung Bayu Sekaranom
Jurnal Geografi, Edukasi dan Lingkungan (JGEL) Vol. 10 No. 1 (2026): Edisi Bulan Januari
Publisher : Pendidikan Geografi Universitas Muhammadiyah Prof. Dr. Hamka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jgel.v10i1.19111

Abstract

Fenomena El Niño Southern Oscillation (ENSO) memengaruhi kondisi curah hujan disuatu wilayah, salah satunya Kabupaten Temanggung. Tujuan penelitian ini adalah menganalisis dampak ENSO terhadap anomali curah hujan di Kabupaten Temanggung pada periode 1995–2024. Data yang digunakan berupa curah hujan satelit CHIRPS yang dikoreksi dengan data observasi dan membandingkan rata-rata curah hujan saat fase El Niño serta La Niña dengan fase netral berdasarkan nilai Oceanic Niño Index (ONI). Metode analisis data temporal dan spasial yang disajikan secara deskriptif kuantitatif digunakan untuk menjelaskan hasil yang telah diperoleh. Hasil penelitian menunjukkan secara temporal dampak El Niño memicu penurunan curah hujan rata-rata sebesar 20,6% dengan penurunan terbesar hingga 82,9% pada bulan Oktober, dengan dampak terbesar di sekitar lereng Gunung Sumbing dan Sindoro dan sisi utara pada perbukitan yang berbatasan dengan Kabupaten Kendal. Dampak La Niña meningkatkan curah hujan tahunan sekitar 14%, dengan peningkatan tertinggi di lereng Gunung Sumbing dan Sindoro dan semakin melemah menuju wilayah dengan elevasi yang lebih rendah. Secara temporal, dampak ENSO terhadap curah hujan di Temanggung lebih berpengaruh pada bulan Agustus-Oktober yang dapat memengaruhi perubahan antara musim kemarau ke penghujan di wilayah ini. Secara spasial, sebaran anomali curah hujan di Kabupaten Temanggung memiliki hubungan dengan kondisi topografinya dengan dampak lebih tinggi pada daerah pegunungan dan melemah menuju elevasi yang lebih rendah. Perlunya strategi adaptasi dan mitigasi lokal yang mempertimbangkan variasi spasial anomali curah hujan akibat ENSO guna mengantisipasi dampak lebih buruk akibat perubahan iklim yang diprediksi akan memperkuat frekuensi dan intensitas ENSO di masa depan.
RAINFALL PROJECTIONS USING CMIP6 SCENARIOS IN THE CIRARAB WATERSHED Hidayah, Kuny; Sekaranom, Andung Bayu; Suprayogi, Slamet
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 23 No 2 (2025): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v23n2.p317-338

Abstract

Climate change has been identified in the Cirarab watershed by looking at records of extreme rainfall events. This study aims to develop a scenario of climate change impacts at the watershed scale, especially from the aspect of changes in rainfall patterns in the Cirarab watershed until 2050. This research uses a descriptive quantitative method with a spatial-temporal approach, using secondary data obtained from the official databases of BMKG, CMIP6, and relevant literature. The analysis technique used is statistical downscaling. The results stated that based on climate change scenarios, the annual rainfall pattern in the Cirarab watershed remains stable with a monsoon climate type, marked by a single peak in the rainy season. Spatial variations in monthly rainfall are minimal due to the watershed’s flat topography. However, rainfall variability during the rainy season leads to a temporal shift in the peak, indicating changes in rainfall timing despite overall pattern stability. Keywords: Cirarab Watershed, Climate Change, CMIP6
Dynamic modeling in environmental planning: A global synthesis of research addressing urban air quality Santoso, Dian Hudawan; Santosa, Sri Juari; Sekaranom, Andung Bayu
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15177

Abstract

This research constitutes bibliometric analysis about the utilization of System Dynamics (SD) in mitigating air pollution. This project aims to investigate the use of system dynamics models in simulating and assessing urban transportation regulations, industrial emissions, and the incorporation of cleaner technology. The applied methodology encompasses a synthesis of current studies and the execution of bibliometric analysis to discern trends, prominent academics, and the most impactful papers in this domain. An exhaustive analysis of the current literature uncovered several significant findings. Investments in public transportation, the introduction of fuel taxes, and the advancement and deployment of sophisticated car technologies are recognized as essential solutions for mitigating air pollution. Case studies from places such Greater Cairo, Kuwait, Tehran, and Mexico City illustrate the efficacy of SD in forecasting long-term environmental consequences and facilitating adaptive policy.This research primarily contributes to the visualisation of the intellectual framework of the research domain, the identification of keyword clusters, and the elucidation of links between topics that may have previously lacked obvious mapping.  This research addresses a methodological deficiency by clearly illustrating how the combination of quantitative bibliometric analysis and systematic review can enhance comprehension of the developmental dynamics within a scientific subject.
Analisis Faktor Meteorologi terhadap Kebakaran Hutan dan Lahan di Pulau Kalimantan Periode 2019-2023 Oktaviani, Malinda Budi; Nurjani, Emilya; Suarma, Utia; Sekaranom, Andung Bayu
Majalah Geografi Indonesia Vol 40, No 1 (2026): In Progres
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mgi.109314

Abstract

Abstrak. Pulau Kalimantan merupakan wilayah dengan tingkat kejadian kebakaran hutan dan lahan (karhutla) yang tinggi, terutama pada kawasan bergambut yang luas. Penelitian ini bertujuan: (1) Mengidentifikasi distribusi spasial dan frekuensi temporal hotspot Pulau Kalimantan khususnya pada lahan gambut dan non-gambut, (2) Menganalisis variasi spasial dan temporal bulanan dari curah hujan, suhu udara, serta kelembapan tanah di lahan gambut dan non-gambut, (3) Menganalisis variabel yang paling berpengaruh terhadap jumlah hotspot di lahan gambut dan non-gambut. Data hotspot diperoleh dari citra MODIS beresolusi 1 km, sedangkan data curah hujan dan temperatur udara 2 m berasal dari ERA5 (resolusi 0,25°), dan data kelembapan tanah diambil dari SMAP L4 Global 9-km Surface and Root Zone Soil Moisture. Analisis regresi binomial negatif digunakan untuk menilai pengaruh faktor meteorologis terhadap intensitas hotspot. Hasil penelitian menunjukkan bahwa hotspot lebih terkonsentrasi pada lahan gambut (6.184 titik) dibandingkan non-gambut (4.848 titik). Kelembapan tanah terbukti sebagai faktor paling signifikan yang memengaruhi peningkatan jumlah hotspot, diikuti oleh curah hujan. Sebagian besar hotspot terjadi pada wilayah dengan curah hujan <100 mm/bulan, suhu >25°C, dan kelembapan tanah 10–30%. Secara keseluruhan, kenaikan suhu tidak selalu diikuti oleh lonjakan jumlah hotspot yang signifikan. Akan tetapi, apabila dilihat secara spasial suhu tetap memiliki peran karena hotspot lebih banyak terdistribusi pada wilayah-wilayah dengan suhu yang relatif tinggi. Temuan ini memberikan dasar ilmiah bagi pengembangan sistem peringatan dini karhutla berbasis parameter meteorologis serta mendukung pengelolaan adaptif lahan gambut untuk mengurangi risiko kebakaran di Pulau Kalimantan.Abstract Kalimantan Island is a region with a high frequency of forest and land fires (known as karhutla), particularly in its extensive peatland areas. This study aims to: (1) identify the spatial distribution and temporal frequency of hotspots across Kalimantan Island, particularly on peatland and non-peatland areas; (2) analyze the monthly spatial and temporal variations of rainfall, air temperature, and soil moisture on peatland and non-peatland; and (3) determine the meteorological variables that most influence the number of hotspots in peatland and non-peatland areas. Hotspot data were obtained from MODIS imagery with a 1 km resolution, while rainfall and 2 m air temperature data were derived from ERA5 (0.25° resolution), and soil moisture data were obtained from SMAP L4 Global 9-km Surface and Root Zone Soil Moisture. A negative binomial regression analysis was used to assess the influence of meteorological factors on hotspot intensity. The results show that hotspots were more concentrated on peatland (6,184 points) than on non-peatland (4,848 points). Soil moisture was found to be the most significant factor influencing the increase in hotspot numbers, followed by rainfall. Most hotspots occurred in areas with rainfall <100 mm/month, temperature >25°C, and soil moisture ranging from 10–30%. Overall, temperature increases were not always followed by significant rises in hotspot numbers; however, spatially, temperature still played a role, as hotspots were more frequently distributed in areas with relatively high temperatures. These findings provide a scientific basis for developing an early warning system for forest and land fires based on meteorological parameters and support adaptive peatland management to reduce fire risks in Kalimantan Island.Submitted: 2025-07-16 Revisions: 2025-09-21 Accepted: 2024-09-11 Published: 2025-11-07
Linking Surface Water Content to Groundwater Levels in Tropical Peatlands: Insights from the van Genuchten Approach Putri, Atfi Indriany; Danoedoro, Projo; Sulaiman, Albertus; Sekaranom, Andung Bayu
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 16 No 1 (2026): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.16.1.65

Abstract

Tropical peatland in Indonesia have always been characterized by Peat Hydrology Units which have a function as a large amount of carbon storage and are able to regulate the hydrological cycle naturally. This study has two objectives, namely to analyze the variability of SWC, GWL, and rainfall parameters, to be able to understand the patterns of hydrological interactions in peatlandecosystems and to explain the quantitative relationship between SWC and GWL parameters using the van Genuchten Equation (VG) approach. The study also uses a VG based soil hydraulic curve modeling approach to describe groundwater retention and its impact on groundwater surface dynamics. The results showed that the SWC value was significantly influenced by the depth of theGWL and the intensity of rainfall, this underlined that the relationship between the two parameters is reciprocal. In addition, understanding the relationship between these parameters is very important, since the SWC value greatly determines the moisture status of the peat surface, in addition to directly the SWC value also affects the susceptibility of peat fires, while the GWLregulates the long-term hydrological balance and carbon emission potential. Therefore, conducting this study can improve understanding of hydrological feedback in peatlands. The results of the correlation analysis between parameters in this study showed that there was a strong relationship between SWC and GWL (R² = 0.6–0.8), while the correlation between GWL and Rainfall was weak(R² = 0.1–0.2). This suggests that SWC variation is primarily influenced by groundwater fluctuations rather than precipitation.
Co-Authors Abidin, Pramuditya Vanesya Putri Febrian Ahmad Cahyadi **) Albertus Sulaiman, Albertus Astuti, Bernadetta Indri Dwi Danang Sri Hadmoko Dian Hudawan Santoso Emilya Nurjani Fawzia, Annisa Ayu Firmansyah, Anugrah Jorgi Hakim, Buddin Al Hidayah, Kuny Muh. Aris Marfai Naim, Asshaffa Nasution, Mulia Oktaviani, Malinda Budi Prabawardani, Destianingrum Prabowo, Andriyas Aryo Pratama, Ilham Diki Prijambodo, Tjahjono Prima Widayani Projo Danoedoro Putri, Atfi Indriany Santoso, M.Sc, Dian Hudawan Setyaningrum, Etik Setyaningrum, Nugraheni Setyawan Purnama Shakyra, Eki Aurora Slamet Suprayogi Sri Juari Santosa Utia Suarma Wirayuda, I Kade Alfian Kusuma Zerlinda, Aurelia