Judul: Analisis Karakteristik Aerosol Optical Depth (AOD) dan Curah Hujan di DKI Jakarta (Studi Kasus: Tahun 2015)
Abstrak: Penelitian mengenai peran aerosol dalam sistem iklim telah banyak dilakukan. Aerosol dapat mempengaruhi pola presipitasi dengan cara memodifikasi distribusi ukuran tetesan awan dan umur tinggal awan. Penambahan konsentrasi aerosol yang besar ke awan tropis laut dapat menunda pembentukan hujan di awan. Penelitian ini bertujuan untuk menganalisis karakteristik serta fluktuasi nilai aerosol optical depth (AOD) dan curah hujan di DKI Jakarta pada tahun 2015. Studi kasus ini dipilih sebab fluktuasi curah hujan yang tinggi yang ditandai dengan terjadinya banjir pada tahun tersebut dan adanya perbedaan total presipitasi yang signifikan antara bulan basah dan bulan kering diharapkan mampu menggambarkan hubungan antara AOD dengan curah hujan. Hasil yang diperoleh dari penelitian ini menunjukkan bahwa nilai AOD maksimum adalah 0,994 dan nilai minimum adalah 0,017, serta curah hujan harian tertinggi sebesar 98,3 mm. Penelitian ini menggunakan nilai parameter suhu udara dan kecepatan angin sebagai faktor yang mempengaruhi terjadinya curah hujan. Hasil analisis korelasi yang diperoleh dari penelitian ini menunjukkan bahwa aerosol optical depth berkorelasi negatif dengan curah hujan dan berkorelasi positif dengan suhu udara dan kecepatan angin., There has been a lot of research about the role of aerosols in the climate system. Aerosol affect precipitation pattern by modifying the cloud drop size distribution and cloud residence time. The addition of large aerosol concentrations to marine tropical clouds can delay the formation of rain in the cloud. This study aims to analyze the characteristics and fluctuations of aerosol optical depth (AOD) and rainfall in DKI Jakarta in 2015. This case study was chosen because of the high fluctuations in rainfall which was marked by the occurrence of 2015’s floods, and the significant difference in total precipitation between wet and dry months is expected to be able to describe the relationship between AOD and rainfall. The results obtained from this study indicate that the maximum AOD value is 0.994 and the minimum value is 0.017, and the highest daily rainfall is 98.3 mm. This study uses the parameter values of air temperature and wind speed as factors that influence the occurrence of rainfall. The results of the correlation analysis obtained from this study indicate that aerosol optical depth is negatively correlated with rainfall and positively correlated with air temperature and wind speed.
Keyword: aerosol, AOD, precipitation, temperature, wind speed

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: Posisi Filogenetik Kura-Kura Carettochelys Insculpta  (Reptillia: Testudinata)
Abstrak: Carettochelys insculpta is an endemic freshwater turtle of southern Papua and northern Australia. Phylogenetic position of this turtle is remain unresolved until now. Most of the research conducted show close relationships of C. insculpta and members of Trionychidae family. However, some of the research show distance between C. insculpta and members of Trionychidae family. This research is conducted to analyze phylogenetic relationship between C. insculpta and other members of Testudinata using 12S rRNA, 16S rRNA, and both gene as markers. DNA samples were obtained from three different organisms of C. insculpta. Two species used as outgroups were Alligator mississippiensis and Iguana iguana. Phylogenetic analysis was carried out using Neighbor-Joining method with Felsenstein 1981 (F81) modeltest. A polytomy tree of Testudinata was produced by using 12S rRNA gene. However, analysis using 16S rRNA and both genes as markers confirmed that C. insculpta was located between the Chelonidae and the Trionychidae family.
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