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Participatory implementation within climate change related policies in urbanized area of Indonesia Utia Suarma; Dyah Rahmawati Hizbaron; Sudibyakto Sudibyakto; Emilya Nurjani
Indonesian Journal of Geography Vol 50, No 2 (2018): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (500.355 KB) | DOI: 10.22146/ijg.36263

Abstract

Geographically, Indonesia has been subjected towards various climate change related phenomena. This research aim at evaluation of participatory implementation towards climate change related policy which has been set in Indonesia. The research method derived from qualitative framework developed by UNESCO. The research took RAN-API or National Action Plan upon Climate Change Adaptation which has been established since 2013. The document has been integrated within National Medium Term Plan launched at 2015 up to 2019. The research revealed that participation has been inclusive to many stakeholder involved within climate change adaptation program. Furthermore, encouragement needs to be carried out at all level especially in urbanized area. Local to national government has pivotal role to introduce many activities engaged to climate change adaptation. At different array, the research also revealed that many participation has been initiated independently by non-government organization as well as local stakeholder which need to be documented in order to ensure its merits.
Meteorological Drought Analysis in Tangsi Sub-Watershed, Magelang Regency Atikah, A; Pradita, Rey Pingkan; Ramadhania, Rizka Novi; Naim, Asshaffa; Paramesthi, Febriyanti; Anjani, Azzahra Gita Putri; Ramadhanissa, Diandra Salma; Fathurrahman, Yusuf; Khansa, Lulu Nabila; Oktaviani, Malinda Budi; Abidin, Pramuditya Vanesya Putri Febrian; Mahdi, Naufal Asyraf; Suarma, Utia
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2024: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.5435

Abstract

Natural disasters such as droughts occur gradually and last until the start of the rainy season. Meteorological drought happens when a region experiences periods of below-average rainfall, resulting in lower water availability in the soil compared to its needs. The Tangsi Sub-Watershed traverses the districts of Kajoran, Salaman, Kaliangkrik, Borobudur, and Tempuran. It is part of the Progo Watershed, which is under the administrative boundary of Magelang Regency. The variation in climate and the landforms of the Tangsi Sub-Watershed, which are dominated by materials that are less permeable to water, make this area prone to drought. This research analyzes meteorological drought in the Tangsi Sub-Watershed, Magelang Regency by using the Standardized Precipitation Index (SPI) and Drought Hazard Index (DHI). The analysis from quarterly SPI from 1994 to 2023 indicates that the Tangsi Sub-Watershed experienced a medium drought hazard level with a score of 14. The Tangsi Sub-Watershed experienced extreme drought events at 2.22%, high drought at 3.89%, and moderate drought at 6.94%. Long-term drought risk analysis can be used by communities and governments to plan and implement mitigation measures ahead of time by revealing patterns and intensities of recurrent droughts.
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.
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