Judul: Estimating Potential Geothermal Energy Using Satellite Imagery
Abstrak: Overcoming the crisis of energy supply and avoiding the impact of environmental damage caused by global warming, it needs new alternative energy sources and renewable and more environmentally friendly. Utilization and development of renewable energy is becoming increasingly important given the increasingly limited sources of fossil energy or non renewable energy sources. Through Presidential Regulation No. 5 of 2006 on National Energy Policy, the government has attempted to draw up a national energy management strategy from 2006 to 2025, which states that national energy supply must be fulfilled with 17% renewable energy. It states clearly how the role of renewable energy in the future. New and renewable energy forms available in Indonesia are geothermal, hydro power, biomass, solar energy and marine energy. The Indonesian archipelago lies on one of the most active tectonic plates in the world, located between the Indo-Australian, Pacific, Philippine and Eurasian tectonic plates. This strategic position makes Indonesia the richest country with geothermal energy spread over 285 area points along the volcanic arc with a total potential of 29,215 GWe (Ministry of ESDM 2012). This study intends to determine geothermal potential energy using remote sensing and geographic information system (GIS) analysis. The method used was calculating Radiative Heat Flux (RHF) using land surface temperature (LST) and vegetation index with NDVI method from infrared bands, the NDVI results then classified to determine the emissivity value. Lineament extraction retrieve from geologic map used to get the fault and fracture density (FFD). Weighted overlay using Analytic Hierarchy Process (AHP) used to get the distribution of potential geothermal area, with LST, FFD, NDVI, and distance from surface manifestation as a parameter. Result shows, nine geothermal anomalies areas were successfully extracted as surface manifestation, 15.02 km2 identified as high potential geothermal area with energy estimation 141.56 MW
Keyword: Geothermal anomalies, Landsat 8, ASTER TIR, RHF, LST

Judul: Estimating the Potential of Above-Surface Biomass in the Mbeliling Forest Area of East Nusa Tenggara Using Landsat 8 Satellite Imagery
Abstrak: Pemanasan global terjadi akibat akumulasi gas efek rumah kaca seperti CO2, CH4, NO2, HFCs, PFCs, dan SF6 di atmosfer. Hutan memiliki peran sebagai penyimpan dan penyerap karbon, hal ini sangat penting dalam mengatasi terjadinya pemanasan global yang diakibatkan oleh gas rumah kaca. Penelitian ini bertujuan menduga potensi biomassa menggunakan indeks vegetasi dan nilai digital Citra Landsat 8 serta membuat peta sebaran biomassa berdasarkan model pendugaan terbaik. Penghitungan biomassa lapangan menggunakan rumus allometrik. Model regresi terbaik dipilih berdasarkan parameter uji-F, nilai koefisien determinasi (R2), nilai koefisien determinasi terkoreksi (R2-adj) dan nilai RMSE. Model regresi Multiplikatif terpilih menjadi model terbaik dengan persamaan Y = 10^-1.576 x BAND6^-0.673 x BAND9^-1.176., Global warming occurs due to the accumulation of greenhouse gases such as CO2, CH4, NO2, HFCs, PFCs and SF6 in the atmosphere. Forests have a role as a carbon store and absorber, this is very important in overcoming global warming caused by greenhouse gases. This study aims to estimate the biomass potential using the vegetation index and digital values of Landsat 8 imagery and to create a biomass distribution map based on the best estimation model. Calculation of field biomass using the allometric formula. The best regression model was selected based on the F-test parameters, the value of the coefficient of determination (R2), the value of the corrected coefficient of determination (R2-adj) and the RMSE value. Multiplicative regression model was chosen to be the best model with the equation Y = 10^-1.576 x BAND6^-0.673 x BAND9^-1.176 .
Keyword: biomass, citra landsat 8, mapping, regression

Judul: Pemerian Cacing Amcylostomu bradfiertsis (Comes de Faria, 1910) dan Ancylostoma ceylanicum (Loess, 1911) Pada Kucing di Wilayah Kota Bogor.
Abstrak: Kucing dikenal sebagai hewan kesayangan yang mempunyai nilai khusus bagi manusia. Manusia telah memelihara kucing sejak ribuan tahun yang lalu melalui proses domestikasi sehingga kucing menjadi hewan peliharaan. Kucing tanpa pemilik yang berkeliaran di sekitar hewan peliharaan sangat potensial sebagai sumber infeksi Wagai penyakit antara lain kecacingan. Oleh karena itu setiap pemilik kucing sebaiknya melakukan pencegahan dengan tidak membiarkan kucing peliharaannya berkeliharaan dengan bebas di lingkungan yang terdapat populasi kucing liar.
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