Article Per Year (5 Year)
p-Index From 2020 - 2025
0.751
P-Index
This Author published in this journals
All Journal Tunas Geografi Megasains Jurnal Widya Climago
Risnayah, Siti
Unknown Affiliation
Humanities Astronomy Earth & Planetary Sciences Education Environmental Science Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Dynamics of Urban Heat Island and NO2 Gas During the Covid-19 Pandemic Risnayah, Siti; Mudhalifana, Waode Sitti; Restele, La Ode
Tunas Geografi Vol 12, No 2 (2023): JURNAL TUNAS GEOGRAFI
Publisher : Department of Geography Education, Faculty of Social Sciences, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tgeo.v12i2.49303

Abstract

To know the COVID-19 pandemic’s impact on the environment, an analysis of Urban Heat Island and pollutant gas was carried out. From March to June 2020, the Indonesian government implemented the Large-Scale Social Restrictions (PSBB) policy, requiring people to limit activities in public places. The data used are Land Surface Temperature (LST) from the Terra MODIS and Nitrogen Dioxide (NO2) concentration from the TROPOMI sensor. The data is processed using the Google Earth Engine to produce comparative values before the PSBB implementation (2019), during (2020), and after (2021-2022). The LST will be derived into Surface Urban Heat Island (SUHI) to compare climate conditions in urban (Kendari) and rural areas (Ranomeeto, Lalonggasumeeto, North Moramo). The results show that reducing community activities during the pandemic was not able to reduce LST but succeeded in inhibiting the increase rate. The LST trend is more affected by rainfall variables where higher rainfall causes lower LST and vice versa. The SUHI value shows a downward trend, meaning that the Urban Heat Island effect has been inhibited. The most significant impact of PSBB was a 25.9% reduction in NO2 concentration. These results prove that the COVID-19 pandemic has successfully restored environmental health constantly exposed to air pollution. Keywords: COVID-19, Urban Heat Island, NO2, PSBB, Land Surface Temperature
TINJAUAN KLIMATOLOGIS KEJADIAN HUJAN DI MUSIM KEMARAU PADA DASARIAN I SEPTEMBER 2020 DI SULAWESI TENGGARA Qothrunada, Dewi Tamara; Risnayah, Siti
Jurnal Widya Climago Vol 2 No 2 (2020): Adaptasi Kebiasaan Baru
Publisher : Pusdiklat BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In September, the Southeast Sulawesi region normally experiences a dry season. However, there are still rainevents with low to high intensity that occur in Southeast Sulawesi during the first decade of September 2020 (1-10 September). Rainfall that exceeds 100 millimeters in a decade in an area during the dry season indicates thatthere are significant weather disturbance factors that play a role in the formation of a large and extensiveconvective cloud system. Regional and local scale weather analyzes were conducted to identify weatherdisturbances that contributed to these events. Based on the results of monitoring rainfall observations,atmospheric dynamics data, and sea surface temperature, the rain event during the first decade of September2020 was an extreme event caused by disturbances in wind patterns around Kalimantan and Sulawesi, warmingsea surface temperatures in Indonesia and activate of weak La Nina, disturbance of easterly winds, and a fairly massive increase in air masses in the Southeast Sulawesi region. This rain event is also supported by the activeflow of cold wind (westerly wind) from mainland Asia in the upper layer.
PENERAPAN IMPUTASI LOCF DAN CROSS MEAN DALAM PENGISIAN DATA KOSONG PADA CURAH HUJAN HARIAN ARG Risnayah, Siti
Megasains Vol 14 No 2 (2023): Megasains Vol. 14 No. 2 Tahun 2023
Publisher : Stasiun Pemantau Atmosfer Global Bukit Kototabang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46824/megasains.v14i2.138

Abstract

The number of installed Automatic Rain Gauges (ARG) today has not been optimally utilized. It is because ARG that works automatically often has missing data due to technical and network problems raising doubts about its accuracy. The data used are ARG rainfall data in 10 minute periods during 2021 and rainfall data from conventional gauge at the same location. The data will be processed until it becomes daily data and will be recovered by missing data entry worked by the Python programming language. Because the ARG data is the longitudinal data type, missing data entry will use LOCF and cross mean imputation. The validity test will compare the recovered ARG data with the conventional gauge data by calculating the MAE, RMSE, and correlation coefficient. The results showed that missing data entry could reduce the percentage of missing from 21.4% to 1.1%. The result of validity tests showed that ARG could produce accurate data determined by a lower error (MAE=0.998mm, RMSE=2.253mm) and a very high correlation (r=0.966). With a higher percentage of data completeness and excellent accuracy, the data usage will become more extensive to provide more benefits, especially for the need of analysis, forecasting, data services, and research.
Dynamics of Urban Heat Island and NO2 Gas During the Covid-19 Pandemic Risnayah, Siti; Mudhalifana, Waode Sitti; Restele, La Ode
Tunas Geografi Vol. 12 No. 2 (2023): JURNAL TUNAS GEOGRAFI
Publisher : Department of Geography Education, Faculty of Social Sciences, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tgeo.v12i2.49303

Abstract

To know the COVID-19 pandemic™s impact on the environment, an analysis of Urban Heat Island and pollutant gas was carried out. From March to June 2020, the Indonesian government implemented the Large-Scale Social Restrictions (PSBB) policy, requiring people to limit activities in public places. The data used are Land Surface Temperature (LST) from the Terra MODIS and Nitrogen Dioxide (NO2) concentration from the TROPOMI sensor. The data is processed using the Google Earth Engine to produce comparative values before the PSBB implementation (2019), during (2020), and after (2021-2022). The LST will be derived into Surface Urban Heat Island (SUHI) to compare climate conditions in urban (Kendari) and rural areas (Ranomeeto, Lalonggasumeeto, North Moramo). The results show that reducing community activities during the pandemic was not able to reduce LST but succeeded in inhibiting the increase rate. The LST trend is more affected by rainfall variables where higher rainfall causes lower LST and vice versa. The SUHI value shows a downward trend, meaning that the Urban Heat Island effect has been inhibited. The most significant impact of PSBB was a 25.9% reduction in NO2 concentration. These results prove that the COVID-19 pandemic has successfully restored environmental health constantly exposed to air pollution. Keywords: COVID-19, Urban Heat Island, NO2, PSBB, Land Surface Temperature
Co-Authors Mudhalifana, Waode Sitti Qothrunada, Dewi Tamara Restele, La Ode