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All Journal Indonesian Journal of Geography Jurnal Ilmu Pertanian Geo Media: Majalah Ilmiah dan Informasi Kegeografian 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 J SIG (Jurnal Sains Informasi Geografi) jurnal Ilmu Pertanian (Agricultural Science) Jurnal Penelitian Geografi (JPG) PREVENIRE: Journal of Multidisciplinary Science Jurnal Ilmu Kehutanan
Emilya Nurjani
Faculty Of Geography, Universitas Gadjah Mada, Bulaksumur 55281 Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Carbon Stock Estimation From Vegetation Biomass Using Spot-7 Imagery Rahmatika, Iklila; Hidayati, Iswari Nur; Suharyadi, R; Nurjani, Emilya
Indonesian Journal of Geography Vol 55, No 3 (2023): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.78690

Abstract

Vegetation absorbs carbon dioxide (CO2 ) emissions during photosynthesis. Covering more areas with trees will increase the CO2 absorption capacity more substantially than other vegetation like bushes, grasses, or rice fields. Trees convert the CO2 captured during photosynthesis into organic carbon to be stored in biomass. Woody trees account for approximately 60% of the total aboveground tree biomass, and trunks, where food reserves produced in photosynthesis are stored, have relatively large biomass compared to other parts of the tree. The biomass of a vegetation stand determines the optimization of air pollutant absorption in urban areas. Yogyakarta City is the center for tourism, education, and cultural activities in Indonesia, which is vulnerable to land-use conversion, a factor of the shrinking green space. This study aimed to estimate carbon stock from vegetation biomass in Yogyakarta City using the remote sensing product SPOT-7 imagery. To calculate the vegetation biomass, the diameter at breast height (DBH) of stands was measured in the field. Then, statistical analyses were performed to determine the correlation and regression between the actual or observed biomass and the Normalized Difference Vegetation Index (NDVI) value derived from the SPOT-7 image. The regression model used was y = 1.4277x – 0.0849. The total biomass produced in Yogyakarta City was estimated at 1,399,487.1 tonnes, which contained 643,764.1 tonnes of carbon stock.
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.
Co-Authors Adhelia Widha Alfareta Aditya Pradana Aditya Utama Agus Suprihatin Utomo Ahmad Cahyadi Ahmad Cahyadi **) 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 Bowo Susilo Bowo Susilo Danardono Danardono Danardono, Danardono Dyah Rahmawati Hizbaron Eko Bayu Dharma Putra Eko Haryono Eko Haryono Fathimah Nur Lestari Febriyan Rachmawati Fiel Unggul Prastyo Firmansyah, Anugrah Jorgi Fitria Nucifera Futuha Helen Sara Habibah Nurrohmah Harini Rika Henky Nugraha Henky Nugraha, Henky Ilham Diki Pratama Iswari Nur Hidayati M Iqbal Taufiqurrahman Sunariya Mohammad Pramono Hadi Mohammad Pramono Hadi Muhammad Sufwandika Wijaya Muhammad Sufwandika Wijaya Naashiruddin Fikri Qushoyyi Nanda Fuji Lestari Pertiwi, Serly Andini Putra, Eko Bayu Dharma Rahmatika, Iklila Rika Harini Rika Harini Ryan Andri Wijaya Safira Bitanisa Adnia Amanitya Sani Afifah Sekar Gading Hermawan Sri Lestariningsih Sri Rum Giyarsih Sri Rum Giyarsih Sudibyakto Sudibyakto Sudibyakto Sudibyakto Suharyadi, R Sutriani SUWARNO HADISUSANTO Utia Suarma Wahyu Widiyatmoko Widiyana Riasasi Zunnikah, Zunnikah