Judul: . Relationship Between Aerosol Optical Depth and
Particulate Concentration in Jakarta from 2020 to 2021
Abstrak: Tujuan dari penelitian ini adalah untuk menilai korelasi antara pengukuran Aerosol Optical Depth (AOD) dan konsentrasi partikulat di Jakarta selama rentang waktu 2020-2021. Hasil analisis menunjukkan adanya hubungan antara AOD dan konsentrasi PM, dengan hubungan yang lebih kuat pada PM2.5. SPKU Bundaran HI, koefisien korelasi antara AOD 500nm dan PM2.5 adalah r = 0.78, sedangkan untuk PM10 adalah r = 0.72. Koefisien korelasi antara AOD 500nm dengan PM10 di SPKU Kelapa Gading sebesar 0.65, sedangkan koefisien korelasi antara AOD 500nm dengan PM2.5 sebesar 0.70. Nilai AOD juga dipengaruhi oleh curah hujan, terlihat dari data AERONET AOD yang menunjukkan korelasi bulanan sebesar - 0.47. Analisis data MODIS mengungkapkan konsentrasi partikulat di atmosfer yang signifikan, seperti yang ditunjukkan oleh distribusi regional AOD. Selama penutupan akibat COVID-19 pada tahun 2020, terjadi penurunan Aerosol Optical Depth (AOD) di atmosfer. Namun, pada tahun 2021, terjadi peningkatan AOD. Model regresi linier antara AOD dan PM2.5 (R2 = 0.61, RMSE = 5.2) menunjukkan akurasi yang lebih unggul dalam memprediksi dibandingkan dengan PM10`(R2 = 0.52, RMSE = 8.04). Hal ini menunjukkan bahwa data AOD dapat dimanfaatkan untuk memantau kualitas udara di Jakarta., The objective of this research is to analysis the correlation between Aerosol Optical Depth (AOD) measurements and particulate concentrations in Jakarta over the period 2020-2021. The analysis findings reveal a relationship between AOD and the concentrations of PM10 and PM2.5, with a more pronounced correlation observed for PM2.5. At the Bundaran HI air quality monitoring station (SPKU), the correlation coefficient between AOD at 500nm and PM10 is 0.72, while the correlation coefficient with PM2.5 is 0.78. At the Kelapa Gading air quality monitoring station (SPKU), the correlation coefficient between AOD at 500nm and PM10 is 0.65, whereas the correlation coefficient with PM2.5 is 0.70. AOD values are also influenced by rainfall, as indicated by AERONET AOD data showing a monthly correlation of -0.47. MODIS data analysis reveals significant particulate concentrations in the atmosphere, as demonstrated by the regional distribution of AOD. During the COVID-19 lockdown in 2020, there was a decrease in Atmospheric Aerosol Optical Depth (AOD). However, in 2021, there was an increase in AOD levels. The linear regression model between AOD and PM2.5 (R2 = 0.61, RMSE = 5.2) shows superior accuracy in prediction compared to PM10 (R2 = 0.52, RMSE = 8.04). This indicates that AOD utilization can be reliably employed to monitor air quality in Jakarta.
Keyword: AOD, curah hujan, analisis lingkungan, konsentrasi partikulat, kualitas udara Jakarta

Judul: Relationship Between Aerosol Optical Depth and
Particulate Concentration in Jakarta from 2020 to 2021
Abstrak: Tujuan dari penelitian ini adalah untuk menilai korelasi antara pengukuran Aerosol Optical Depth (AOD) dan konsentrasi partikulat di Jakarta selama rentang waktu 2020-2021. Hasil analisis menunjukkan adanya hubungan antara AOD dan konsentrasi PM, dengan hubungan yang lebih kuat pada PM2.5. SPKU Bundaran HI, koefisien korelasi antara AOD 500nm dan PM2.5 adalah r = 0.78, sedangkan untuk PM10 adalah r = 0.72. Koefisien korelasi antara AOD 500nm dengan PM10 di SPKU Kelapa Gading sebesar 0.65, sedangkan koefisien korelasi antara AOD 500nm dengan PM2.5 sebesar 0.70. Nilai AOD juga dipengaruhi oleh curah hujan, terlihat dari data AERONET AOD yang menunjukkan korelasi bulanan sebesar - 0.47. Analisis data MODIS mengungkapkan konsentrasi partikulat di atmosfer yang signifikan, seperti yang ditunjukkan oleh distribusi regional AOD. Selama penutupan akibat COVID-19 pada tahun 2020, terjadi penurunan Aerosol Optical Depth (AOD) di atmosfer. Namun, pada tahun 2021, terjadi peningkatan AOD. Model regresi linier antara AOD dan PM2.5 (R2 = 0.61, RMSE = 5.2) menunjukkan akurasi yang lebih unggul dalam memprediksi dibandingkan dengan PM10`(R2 = 0.52, RMSE = 8.04). Hal ini menunjukkan bahwa data AOD dapat dimanfaatkan untuk memantau kualitas udara di Jakarta., The objective of this research is to analysis the correlation between Aerosol Optical Depth (AOD) measurements and particulate concentrations in Jakarta over the period 2020-2021. The analysis findings reveal a relationship between AOD and the concentrations of PM10 and PM2.5, with a more pronounced correlation observed for PM2.5. At the Bundaran HI air quality monitoring station (SPKU), the correlation coefficient between AOD at 500nm and PM10 is 0.72, while the correlation coefficient with PM2.5 is 0.78. At the Kelapa Gading air quality monitoring station (SPKU), the correlation coefficient between AOD at 500nm and PM10 is 0.65, whereas the correlation coefficient with PM2.5 is 0.70. AOD values are also influenced by rainfall, as indicated by AERONET AOD data showing a monthly correlation of -0.47. MODIS data analysis reveals significant particulate concentrations in the atmosphere, as demonstrated by the regional distribution of AOD. During the COVID-19 lockdown in 2020, there was a decrease in Atmospheric Aerosol Optical Depth (AOD). However, in 2021, there was an increase in AOD levels. The linear regression model between AOD and PM2.5 (R2 = 0.61, RMSE = 5.2) shows superior accuracy in prediction compared to PM10 (R2 = 0.52, RMSE = 8.04). This indicates that AOD utilization can be reliably employed to monitor air quality in Jakarta.
Keyword: AOD, curah hujan, analisis lingkungan, konsentrasi partikulat, kualitas udara Jakarta

Judul: Konstruksi Hukum Grup Kurva Eliptik Atas F3m
Abstrak: Elliptic curves upon F3m can be divided in two cases, i.e. supersingular and nonsupersingular case. Based on group laws on elliptic curves, a new arithmetic upon F3m can be formulated as an addition process of two random points on the curve. This addition process can then be applied to the ElGamal algorithm.
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