Judul: Aplikasi Model WRF – Chem dalam Pendugaan Konsentrasi dan Dispersi PM2,5 dan PM10 (Studi Kasus : Kota Bogor tahun 2018)
Abstrak: Kota Bogor mengalami peningkatan jumlah kendaraan bermotor setiap tahun. Peningkatan jumlah kendaraan memberi kontribusi yang cukup signifikan terhadap total emisi pencemar di daerah perkotaan dengan konsentrasi utama terdapat di daerah lalu lintas padat. Model WRF-Chem (Weather Research and Forecasting-Chemistry) dapat digunakan untuk mengidentifikasi wilayah yang berpotensi terpapar sebaran pencemar dan mengestimasi pola dispersi serta konsentrasinya. Penelitian ini bertujuan menganalisis pola dispersi pencemar udara di Kota Bogor dan mengestimasi besar polutan PM2,5 dan PM10 dan menggunakan model WRF-Chem. Berdasarkan luaran dari model WRF – Chem, diperoleh konsentrasi maksimum PM2,5 dan PM10 pada bulan Juli jam 00.00 sebesar 77,7 µg/m3 dan 257,2 µg/m3. Berbeda dengan bulan Juli, pada bulan Oktober konsentrasi maksimum PM2,5 dan PM10 dari luaran WRF-Chem terjadi pada jam 21.00 masing-masing dengan konsentrasi sebesar 61,9 µg/m3 dan 205,3 µg/m3. Sebaran PM2.5 dan PM10 bulan Oktober tidak menunjukkan pola yang berbeda dengan bulan Juli. Bulan Juli dan Bulan Oktober menunjukkan polutan terkonsentrasi di bagian utara domain (Kota Jakarta, Kota Bogor bagian Utara, dan Tangerang). Pola sebaran polutan di Kota Bogor sendiri menunjukkan sebagian besar polutan terdispersi ke bagian Utara Kota Bogor., Bogor City has an increase number of two-wheeled and four-wheeled vehicles every year. Increasing number of vehicles contributes significantly to half of the total pollutant emissions in urban areas with the main concentration being in heavy traffic areas where air pollution levels almost exceed ambient air quality standards. WRF-Chem (Weather Research and Forecasting-Chemistry) model is used to identify potentially exposed areas for pollutant distribution and estimate their dispersion and concentration model. Objectives of this study are analyzing of dispersion model for air pollutants in Bogor City and estimating PM2,5 and PM10 concentration using the WRF - Chem model. Based on the output of the WRF – Chem model, the maximum concentrations of PM2,5 and PM10 in July at 00.00 were 77,7 g/m3 and 257,2 g/m3. In contrast to July, in October the maximum concentrations of PM2,5 and PM10 from the WRF-Chem output occurred at 21.00 with concentrations of 61,9 g/m3 and 205,3 g/m3 respectively. The distribution of PM2,5 and PM10 in October did not show a different pattern from July. The months of July and October showed that the pollutants were concentrated in the northern part of the domain (Jakarta City, North Bogor City, and Tangerang). The pattern of pollutant distribution in Bogor City shows that most of the pollutants are dispersed to the northern part of Bogor City. In the morning, the wind blows from the north to the south of Bogor City.
Keyword: Bogor City, PM2,5 and PM10, WRF-Chem, Pollutant Consentration

Judul: Contribution of Long-Range Transport Towards PM 2.5 Concentration (Study Case: Baranangsiang, Bogor)
Abstrak: Fenomena long-range transport (LRT), merupakan pengangkutan polutan dari daerah lain dengan jarak lebih dari 100 km. Perlu dilakukan identifikasi potensi sumber PM2.5 dan melihat fluktuasi konsentrasi PM2.5 di Kota Bogor. LRT dapat divisualisasikan menggunakan lintasan mundur HYSPLIT dan klustering. Selain itu, metode Potential source contribution function (PSCF) digunakan untuk menilai probabilitas dan metode Concentration weighted trajectory CWT untuk melihat nilai konsentrasi dominan. Sumber potensial dan tingkat konsentrasi dapat bervariasi berdasarkan musim di wilayah tersebut. Pada bulan kering sumber polutan dominan berasal dari arah timur-tenggara sebesar 57.7% dan pada bulan basah berasal dari arah barat-barat daya sebesar 67.1%. dan 32.9 %. Konsentrasi maksimum rataan bulanan PM2.5 di Kota Bogor terjadi pada bulan Juli dengan nilai sebesar 25 µg/??3 dan minimum pada bulan November sebesar 10 µg/ ??3 . Secara umum faktor kecepatan angin curah hujan, dan kelembaban memiliki hubungan yang negatif dengan PM2.5. Jika kecepatan angin tinggi maka polutan akan rendah, curah hujan tinggi maka konsentrasi menurun, dan kelembaban tinggi konsentrasi akan turun., The phenomenon of long-range transport (LRT) is that pollutants can be transported from other areas. Identify the potential source of PM2.5 in Bogor City and see the fluctuation of concentration of PM2.5in Bogor City. Transport distance with a backward trajectory using the HYSPLIT model, clustering. Use PSCF for knowing probability and knowing concentration using CWT method. It is important to understand potential sources and concentration levels may vary seasonally in the region, potential sources will follow the season of the area. The dry month was the dominant pollutant from east-southeast was 57.7% and in the wet month from the west-southwest 67.7%. Concentration of PM2.5in Bogor City maximum is 25 µg/??3 and the minimum is 10 µg/??3 in July. Because meteorology factors can impact, such as wind, humidity, and rainfall, they have a negative correlation. If humidity and wind increased the concentration will be decreased, rainfall increases the concentration will be decreased.
Keyword: Concentration weighted trajectory, Long-range transport, PM2.5, Potential Source Contribution Function

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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