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All Journal Indonesian Journal of Geography Jurnal Ilmu Pertanian Geo Media: Majalah Ilmiah dan Informasi Kegeografian Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Bioma : Berkala Ilmiah Biologi Jurnal Ilmu Lingkungan Media Komunikasi Geografi Jurnal Teknosains Majalah Geografi Indonesia Forum Geografi The Indonesian Journal of Planning and Development INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Matematika Sains dan Teknologi Jurnal Geografi, Edukasi dan Lingkungan J SIG (Jurnal Sains Informasi Geografi) jurnal Ilmu Pertanian (Agricultural Science) Jurnal Penelitian Geografi (JPG) PREVENIRE: Journal of Multidisciplinary Science Jurnal Ilmu Kehutanan Jurnal Meteorologi dan Geofisika Journal of Engineering and Technological Sciences BULETIN FISIKA

Emilya Nurjani

Faculty Of Geography, Universitas Gadjah Mada, Bulaksumur 55281 Indonesia

Author-ID : 2634471

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

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The Effect of City Development on Temperature in The City of Semarang sutriani; Emilya Nurjani; Sri Rum Giyarsih
Journal of Multidisciplinary Science Vol. 1 No. 2 (2022): October
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Institut Studi Islam Sunan Doe

Semarang City is one of the most densely populated cities in Central Java Province, which has experienced land conversion due to increased development. The purpose of this study is to analyze the relationship and influence of urban development on temperature in the urban area of Semarang from 1980 to 2020. Population data, land use changes, temperature change data from 1980 to 2020, and remote sensing images were used.The influence of city development and temperature used inferential statistics, which is a method related to data analysis for forecasting or drawing conclusions about the overall data. Regression analysis is one part of inferential statistics that is widely used in the decision-making process. Semarang is experiencing development, both in terms of physical appearance and population growth. The population continues to increase until it almost doubles over a period of 40 years, which is directly proportional to the increase in temperature in the city of Semarang. The results of the analysis show that the development of the city seen from changes in population and changes in built-up land has an effect on temperature changes in the city of Semarang by up to 69.9%. The spatial distribution of temperature changes shows the direction of the center of Semarang City activities in the Districts of Central Semarang, North Semarang, East Semarang, South Semarang, and Gajah Mungkur, which is also in accordance with the condition of the area, which is also a residential area and the city center.

Karakteristik Lingkungan Hutan untuk Terapi Kesehatan di Taman Hutan Raya Bunder, Gunungkidul, Daerah Istimewa Yogyakarta Pertiwi, Serly Andini; Nurjani, Emilya; Hadisusanto, Suwarno
Jurnal Ilmu Kehutanan Vol 19 No 1 (2025): March
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jik.v19i1.9772

Healing forests maintain health through preservative practices, allowing benefits to emerge when site conditions support the practices. Therefore, this research aimed to identify the biophysical components and physical elements of the healing forests in Bunder Grand Forest Park (GFP). This research adopted observation methods and spatial analysis to characterize the healing forests' biophysical components and physical elements. The results showed that Bunder GFP had a diverse biodiversity and a distinctive landscape with the potential to provide comfort for visitors. It also met the criteria outlined in SNI 9006:2021, with medium thermal comfort levels. This research suggested vegetation enrichment to enhance the park's therapeutic potential, decrease noise, and increase thermal comfort. Additionally, the existing water features, karst rocks, and mixed forest vegetation can be used as media for sensory stimulation, further supporting health therapy.

Diversity of dragonflies (Odonata) as bioindicators of water quality in Mangkol river, Terak village, Simpang Katis subdistrict, Central Bangka regency Zunnikah, Zunnikah; Hadisusanto, Suwarno; Nurjani, Emilya
Bioma : Berkala Ilmiah Biologi Volume 27 Issue 2 Year 2025
Publisher : Departemen Biologi, Fakultas Sains dan Matematika, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/bioma.2025.71005

Dragonflies (Odonata) can serve as bioindicators of environmental quality, especially water quality. The Mangkol River, located within Bukit Mangkol Grand Forest Park (Tahura), Terak Village, Central Bangka Regency, is a raw water source used by residents of Pangkalpinang City through the regional water company, Perumda Air Minum Tirta Pinang. While the river’s upstream serves as a raw water source, illegal tin mining activities in the midstream and downstream sections have altered the river's condition, causing sedimentation and turbidity. This study aimed to examine dragonfly diversity as bioindicators of water quality in the Mangkol River. Dragonflies were observed using the cruising method and direct capture with insect nets, supplemented with water quality data measured in the field and laboratory. Dragonfly diversity comprised 2 families, 12 species, and a total of 104 individuals. The Family Biotic Index (FBI) indicated poor water quality at station 1 (6.90) and very poor quality at stations 2, 3, and 4 (9.00).

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

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.

PROYEKSI KEKRITISAN AIR TAHUN 2021-2035 BERDASARKAN SKENARIO CMIP6 (COUPLED MODEL INTERCOMPARISON PROJECT PHASE 6) DI DAERAH ISTIMEWA YOGYAKARTA Naim, Asshaffa; Zerlinda, Aurelia; Oktaviani, Malinda Budi; Abidin, Pramuditya Vanesya Putri Febrian; Nurjani, Emilya; Sekaranom, Andung Bayu; Setyaningrum, Etik; Prabowo, Andriyas Aryo
Jurnal Meteorologi dan Geofisika Vol. 25 No. 1 (2024)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v25i1.1063

Climate change can lead to an imbalance between water demand and supply, resulting in problems such as water scarcity. To avoid this, a projection of the level of water scarcity is needed. Water scarcity is calculated as the percentage of water demand to water supply. This research aims to determine the level of need, availability, and scarcity of meteorological water. This research uses meteorological water supply obtained through Thornthwaite- Mather water balance calculation from CMIP6 rainfall and temperature projection modeling data in SSP2 and SSP5 scenarios. CMIP6 data was corrected using distribution mapping and average ratios methods to improve the distribution and data values. Water demand indicators are reviewed from three sectors, namely domestic water demands, agricultural water demands, and livestock water demands. The water supply calculation results in Daerah Istimewa Yogyakarta (DIY) show a pattern that fluctuates from year to year during the 2021-2035. Meanwhile, water demand continues to increase along with population growth. The level of water scarcity shows that, overall, DIY is classified as not critical to slightly critical in the SSP2 scenario and not critical to critical in the SSP5 scenario. The difference in the level of scarcity is influenced by socio-economic development and climate change mitigation efforts assumed in each scenario. By knowing the projected level of water scarcity, policymakers are expected to pursue appropriate climate change mitigation measures to actualize the best SSP scenario.

Simulasi Hujan Lebat Pemicu Banjir Bandang Di Sub Das Sumbergunung Kota Batu Menggunakan Model WRF-ARW Skema Kessler Kain Fritsch Pratama, Ilham Diki; Nurjani, Emilya; Sekaranom, Andung Bayu
Jurnal Penelitian Geografi (JPG) Vol 11, No 2 (2023): Jurnal Penelitian Geografi (JPG)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpg.v11i2.27701

Peristiwa banjir bandang dipicu oleh curah hujan lebat. Dampak banjir bandang di Kota Batu tanggal 4 November 2021 mengakibatkan kerusakan harta benda, lahan pertanian, hancurnya permukiman masyarakat, matinya hewan ternak dan hilangnya nyawa manusia. Penelitian ini dilakukan di Sub DAS Sumbergunung Kota Batu, Jawa Timur dengan menggunakan model WRF-ARW skema mikrofisika Kessler dan skema cumulus Kain Fritsch. Data yang digunakan dalam penelitian ini adalah data GFS pada tanggal 30 Oktober 2021 dengan resolusi 0,25ox0,250 yang digunakan untuk memprediksi kejadian hujan hingga pada tanggal 4 November 2021.Verfikasi model dilakukan dengan menggunakan tabel kontingensi dan verifikasi menggunakan batas toleransi. Hasil penelitian ini menunjukkan bahwa model ini mampu memprediksi kejadaian hujan dan tidak hujan dengan sangat baik. Akan tetapi model ini belum cukup baik dalam memprediksi ketebalan hujan hingga pada tanggal 4 November 2021. Meskipun demikian, model ini mampu memprediksi hujan hingga 2 hari kedepan yakni hingga tanggal 1 November 2021. Kata kunci: banjir bandang; kota batu; parameterisasi; sub das sumbergunung; WRF-ARW DOI: http://dx.doi.org/10.23960/jpg.v11.i2.27701

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

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.

Geographic Information Systems Application to Drought Distribution Identification with Standardized Precipitation Index (SPI) Method in Trenggalek Regency Utama, Aditya; Hadi, Mohammad Pramono; Nurjani, Emilya
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 2 (2021): August 2021
Publisher : Universitas Nusantara PGRI Kediri

The widespread drought area in Trenggalek Regency in 2019 needs to be analyzed to reduce negative impacts and as a monitoring tool to anticipate future drought events. The Standardized Precipitation Index (SPI) is a drought analysis method by calculating the rainwater deficit at various time scales used to identify the distribution of drought in Trenggalek Regency. This study using rain data on 13 rain stations for the period 1990-2019 and agricultural production data for 2019. The calculation results show that the highest SPI value occurred in March at the highly wet level with a value of 2.11. The lowest SPI value occurred in May at the extremely dry level with a value of -2.31. The results are then mapped using ArcGIS with the Inverse Distance Weighted (IDW) method to identify the spatial distribution of drought.

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

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.

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

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

Co-Authors Abidin, Pramuditya Vanesya Putri Febrian Adhelia Widha Alfareta Aditya Pradana Aditya Utama Agus Suprihatin Utomo Ahmad Cahyadi Ahmad Cahyadi **) Ahmada, Benarifo Aida Mardiana Andi Syahid Muttaqin Andung Bayu Sekaranom Andung Bayu Sekaranom Andung Bayu Sekaranom Andung Bayu Sekaranom Anindya Hias Bestari Aniworo Nuladani Ardila Yananto Arum Rahayu Astuti, Bernadetta Indri Dwi Bowo Susilo Bowo Susilo Danardono Danardono Danardono, Danardono Dyah Rahmawati Hizbaron Eko Bayu Dharma Putra Eko Haryono Eko Haryono Fathimah Nur Lestari Fawzia, Annisa Ayu Fawzia, Aulia Valerie Febriyan Rachmawati Fiel Unggul Prastyo Firmansyah, Anugrah Jorgi Fithriana, Nadia Fitria Nucifera Futuha Helen Sara Habibah Nurrohmah Hadi, Mohammad Pramono Harini Rika Henky Nugraha Henky Nugraha, Henky Ilham Diki Pratama Iswari Nur Hidayati M Iqbal Taufiqurrahman Sunariya Mohammad Pramono Hadi Muhammad Sufwandika Wijaya Muhammad Sufwandika Wijaya Naashiruddin Fikri Qushoyyi Naim, Asshaffa Nanda Fuji Lestari Oktaviani, Malinda Budi Pertiwi, Serly Andini Prabowo, Andriyas Aryo Pratama, Ilham Diki Putra, Eko Bayu Dharma Rahmatika, Iklila Rika Harini Rika Harini Ryan Andri Wijaya Safira Bitanisa Adnia Amanitya Sani Afifah Sekar Gading Hermawan Setyaningrum, Etik Sri Lestariningsih Sri Rum Giyarsih Sri Rum Giyarsih Sudibyakto Sudibyakto Sudibyakto Sudibyakto Suharyadi, R Sutriani SUWARNO HADISUSANTO Utia Suarma Wahyu Widiyatmoko Widiyana Riasasi Widyatmanti, Wirastuti Zerlinda, Aurelia Zunnikah, Zunnikah

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