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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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (532.537 KB) | DOI: 10.58330/prevenire.v1i2.29

Abstract

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

Abstract

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 Vol 27, No 2: 2025: Bioma: Berkala Ilmiah Biologi Volume 27 Issue 2 Year 2025 (December 2025) (In Pr
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

Abstract

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

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.
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

Abstract

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

Abstract

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): 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.