Judul: Modeling Spasial Kerentanan Longsor. (Studi Kasus di Propinsi Jawa Barat, Indonesia).
Abstrak: Indonesia is frequently affected by landslides caused by both rainfall and earthquakes. During the period 1981-2007 the annual landslide frequency varies with an average of 49 events per year this was reported by (Chrisanto et al., 2008). There is also information from the global catalogue presented by (Kirschbaum et al., 2009) where in the years 2003 and from 2007 to 2009 there were reports 97 landslides in Indonesia, which produced 872 casualties. Also within the period of 2011-2012 where in 2011 there was about 29 events in West Java alone and in 2012 almost all of regions in Indonesia had a landslide event due to the high intensity of rainfall and active tectonic systems in that year. (Geological Agency, 2011 & 2012). Fatalities in Indonesia caused by landslides were also high. Study done by (Petley, 2007) showed that in 2007, total number of fatalities caused by landslides in Indonesia alone was 465 which was the second highest next to China. Due to the high occurrences of landslides and the number of fatalities, there is a need of mitigation strategies in Indonesia to prevent future landslide disasters. One of the mitigation strategy is to provide landslide susceptibility mapping. This research aims into developing a spatial modeling method in landslide susceptibility that can find landslide susceptibility area based on the data being analyzed. The result of the research can also observe the main factors that supports the events of landslides; predict the areas that are prone to landslides; and generate landslide susceptibility map of the areas that are prone to landslides. This research is done within 4 regencies in West Java Province which are Cianjur Regency, West Bandung regency, Bandung Regency, and Garut Regency. The area of this research is chosen because of the characteristic that is mountainous in the West Java Province which is the characteristic where landslides most likely occur in West Java. The materials used in this research is digital maps in vector format that is Landuse/Landcover Map, Soil Type Map, Geology Map, Climate Type Map, Annual Rainfall per Year Map, Landsystem Map, River Map, and Landslide Data. The tools used in this research are Personal Computer, GIS Software, Statistic Software (SPSS), Microsoft Office (MS Word, and MS Excel), and GPS. The factors were given rescaled scores based on the correlation between the landslide densities. The methods used in this analysis were regression analysis and correlation analysis in determining the factors to be analyzed and Principal Component Analysis (PCA) in determining the weight of each factors. From the 9 factors of landslide chosen for the analysis, based on the result of the weight determination, principal component 1 until principal component 8 which explained 96% of the total variance of the data gave the most accurate overall accuracy result for 3 susceptibility class at 68.20%. The mathematical equation obtained from this model: Landslide Susceptibility Index (LSI) = 0.231 * Landuse/Landcover + 0.188 * Slope + 0.112 * Distance to River + 0.107 * Soil Type + 0.100 * Annual Rainfall + 0.073 * Population Density + 0.068 * Geology Age + 0.066
Keyword: Landslide Susceptibility, PCA, Spatial Modeling, West Java, Rainfall, Geology Map, Scoring Development, Earth Qualies, Natural Resources

Judul: Analisis Potensi Rawan (Hazard) dan Resiko (Risk) Bencana Banjir dan Longsor (Studi Kasus Provinsi Jawa Barat)
Abstrak: Trend disaster in Indonesia has increased from year to year. Hydro-meteorological disasters such as floods, droughts, landslides, cyclones and tidal waves are the dominant type of disaster in Indonesia. Hydrometeorological disasters occurred on average almost 70% of total disaster in Indonesia. West Java Province is one of the areas that have a high potential for the occurrence of landslides. This is due to the topography of the hilly and mountainous regions, as well high population density which puts pressure on the ecosystem. The purpose of this study is to establish the methodology in determining the criteria forming floods and landslides, determine the distribution of the occurrence of potentially vulnerable hazard areas and risk of floods and landslides, as well as determine the suitability of spatial pattern in the spatial plan of West Java Province Year 2010-2030 against potential floods and landslides hazard in the province of West Java. Floods and landslides potential hazard models were constructed through spatial analysis (overlay) with scoring and weighting system of the 7 parameters used, namely: land use, rainfall, slope, elevation, landform, soil type and geology. The model risk of floods and landslides were constructed by integrating the hazard map with the analysis of vulnerability, which consists of the parameters road/ accessibility, infrastructure and land use, as well as the analysis of the element of risk, which consists of a number of density parameters population (people/km2), GDP, land use, and emergency preparedness or response. The results showed that the area of West Java which has the potential flood-prone high is 460.204 ha (12,5%) and very high is 507.274 ha (13,8%), with distribution locations in Bekasi, Cirebon, Indramayu, Karawang, Majalengka, Subang, Bandung City, Banjar City, Bekasi City, Bogor City, Cirebon City and Depok City. The area with the potential of landslide-prone high is 141.855 ha (3,9%) and very high is 14.895 ha (0,4%), with distribution locations in Bandung dan Garut. The results of field validation and data recapitulation incidence of floods and landslides in the field with BNPB data (2010-2012), show that the accuracy of a map resulting from the analysis of potential hazard and risk of flooding and landslides are quite high. The frequency of floods in the field occurs 88 times as much as the class of potential flood hazard areas of moderate to very high with a total of 115 times the incidence of flooding, or by 76.5% of the total flood. While the frequency of landslides in the field occurs 86 times in the classes as potential landslide hazard moderate to very high with a total of 113 times the incidence of landslides, or 76.1% of the total landslide. There are only 5 spatial pattern with the high suitability of the potential flood-prone high: LNH-Tsunami Hazard (97,6 %), KB-Forest (77,7 %), Municipality (90,3 %), Paddy Field (96,5 %), and KB-Water Body (76,7 %). And only 2 spatial pattern with the high suitability of the potential landslide-prone high: Conservation Forest (86,8 %) and Primary Forest (80,2 %).
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Judul: Trichomonas Gallinae Penyebab Trichomonosis Pada Unggas
Abstrak: Trichomonas gallinae adalah protozoa yang bergerak aktof dengan keempat flagella yang mempunyai layar dan pada salah satu sisinya terdapat membran seperti sirip ikan yang berombak. Spesies dari genus Trichomonas ini mempunyai arti penting pada unggas, karena dapat menyebabkan infeksi pada alat pencernaan bagian atas.
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