Judul: Identifikasi Sebaran Spasial Resiko Tanah Longsor Sebagai Upaya Mitigasi Bencana di Sub DAS Cisadane Hulu
Abstrak: Application of Geographic Information Systems (GIS) and remote sensing can be developed for the management in an attempt to handle of natural disasters such as landslides in the area within a watershed. The purpose of this study was to obtain a distribution map of hazard level of landslides and its risk as a result of landslides at upper Cisadane Sub watershed, using GIS technologies. The results of the analysis showed that areas with high susceptible, medium, low of landslide covered approximately 8539.83 Ha (21.89%), 26243.56 Ha (67.27%) and 4226.84 Ha (10.83%), respectively. Meanwhile, the risk of landslides analysis depicted that in general the upper Cisadane Sub watershed were mostly included as low risk of landslides disaster. It was very unfortunate, that some areas designated as residential zone within spatial plan were situated on areas with a high susceptible of landslides disasters. This was not accordance with the principle of spatial planning.
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Judul: Pemetaan Kawasan Rawan Bencana dan Analisis Resiko Bencana Tanah Longsor dengan Sistem Informasi Geografis (SIG) (Studi Kasus Kawasan Kaki Gunung Ciremai, Kabupaten Majalengka)
Abstrak: Landslide disaster is one of the natural disasters that often occur in Indonesia and is generally common in mountainous regions, the rainy season and is closely related to natural conditions such as soil type, rock type, rainfall, land slope and land cover. The aim of this study is to mapping hazard landslide areas and to analyze the risk of landslides in the Ciremai foothills region Majalengka district. Puslittanak (2004) is using to be a model of analyzing landslide susceptibility prediction in study area, the formula is Total Score = 0,3 FRain Falls +0,2 FGeology +0,2 FLand Slope +0,2 FLand Cover +0,1 FSoil Types. Risk analysis was analyzed by quantitative models based on research of Alhasanah (2006) through the overlaying property map score (infrastructure map, road map and land cover) with landslide vulnerability map. In study area, low landslide susceptibility class dominated by flat topography, the dominant rock type is Qa (Aluvium), soil type is Latosol and rainfall intensity 2500-3000 mm/year. Medium landslide susceptibility occur in flat to a relatively steep slope with the type soil dominated by Andosol and level of rainfall intensity is 2500-3000 mm/year. At high landslide susceptibility, dominated land cover is forest with steep topography (15-30%), rock type is dominated by Qvu and the soil type is Andosol with rainfall 3000-3500 mm / year. Very high vulnerability to landslides mostly located in forest areas with very steep slope (>45%), high rainfall intensity 3000-3500 mm/year and dominated by Qyu rock type and Andosol soil type. Based on the analysis of vulnerability map, in area study obtained low vulnerability covered area 2160,45 hectares, medium vulnerability with covered 15319,71 hectares, 21992,49 hectares of high landslide vulnerability and very high vulnerability covered 6191, 91 hectares. Very high vulnerability mostly located in Argapura with 2811,78 hectares (45,41%). Based on the analysis of risk maps, the area of research has a low risk area with a wide level of 13212,36 hectares (28,93%), medium risk level covered 31507,38 hectares (69,00%), high risk level covered 806,94 hectares ( 1,77%) and very high risk level covered 137,88 hectares (0,30%). Areal distribution of very high risk level areas are the largest in the Maja with covered area 32,67 hectares (23,69%).
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Judul: Quality of Eggs Based on Different Age of Chickens from Yong's Farm, Seremban, Malaysia
Abstrak: This study aimed to determine the quality of eggs from different ages of chickens from Yong’s Farm, Seremban, Malaysia. The method used was 60 eggs were collected from three of different ages of chicken; 25 (n=20 eggs), 35 (n=20 eggs) and 58 weeks old (n=20 eggs). The variables included egg weight, shell thickness, yolk color, yolk index, albumen index and Haugh unit. The results showed the highest egg weight was recorded with 58 weeks old chicken. The egg shell thickness found at week 25 week (0,455 ± 0,08 mm), 35 weeks (0,495 ± 0,08 mm) and 58 weeks (0,475 ± 0,08 mm). Yolk color was at the highest mean of.12,6 ± 0,68 (25 weeks) while on week 35 and 58 it ranges between 5,45 ± 0,51 and 5,55 ± 0,51. The yolk index was recorded on week 25 and no specific trends were observed and the yolk index was not significant between 35 and 58 weeks of age. Albumen index was highest at week 25 were (0,129 ± 0,0), week 35 (0,113 ± 0,03) and week 58 (0,088 ± 0,02). The highest HU was recorded at week 25 (94,81 ± 5,33) and decreased to (90,52 ± 6,64) at week 35 and (81,95 ± 6,24) at week 58. It can be concluded that chicken influences both exterior and interior quality, except the yolk color with the quality of eggs decreasing as the age increases.
Keyword: chicken age, external quality, internal quality, Haugh Unit