Judul: A RS/GIS–Based Multi-Criteria Approaches to Assess Forest Fire Hazard in Indonesia (Case Study: West Kutai District, East Kalimantan Province)
Abstrak: Many forest ecosystems in Indonesia have undergone rapid changes, which certainly influencing in the forest structure and fuel properties. In addition to forest structure and fuel changes, increased number of people living in these environments and frequent extreme droughts as impacts of climate changes has led to extraordinary fire events which leads to several environmental problems including loss of forest as carbon sink, loss of biodiversity, transboundary haze pollution, as well as significant economic losses. Better management of forests and fire problems require spatial-temporal assessment providing important information for identifying and prioritizing fire planning needs. Fire hazard map determining the fire vulnerable areas is important information required to take decisions on fire prevention and suppression activities. To be effective, a comprehensive consideration for forest fire hazard assessment must accomodate a wide range of important determining variables that encompass biophysical and anthropogenic factors leading to occurrence of fire. Combining geomatics technology, including remote sensing and geographic information systems with either statistical or analytical hierarchy process (AHP) approaches offer more efficient and powerful on data acquisition and analysis related to fire hazard assessment. In this research different approaches used for assessing forest fire hazard in West Kutai district at different temporal resolutions: short-term and long-term fire probability assessment. Keetch and Byram Drought Index (KBDI) as a drought index indicating the atmospheric dryness used for short-term fire potential assessment. While long-term assessment encompass two different approaches to spatially model fire probability: binary logistic regression model and analytic hierarchy process (AHP). The first model tried to base weights for fire occurence probability map based on historical fires as recorded by satellites (hotspots), while the AHP approach is based on judgement by asking experts in a systematic fashion. The result of this research showed that by combining between the daily KBDI indexs with hotspots occurences indicated that there is a strong positive association between KBDI index with hotspot occurences. The importance level of variable contributing to forest fire occurences resulted from both binary logistic regression model and the AHP model showed a quite similar pattern.
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Judul: Modeling of vulnerability level and zone of forest and land fires using GIS in Kapuas Tengah Sub Basin, Kalimantan Barat Province
Abstrak: In the last two decades, forest and land fire in Indonesia has become a serious problem at national, regional and even international levels. The smoke of the fires gave a negative impact on human activities and health and in turn caused economical and social loss. In addition, the haze pollution has become a serious problem internationally. This study was conducted to establish a vulnerability model of forest and land fire in Kapuas Tengah watershed, Kalimantan Barat Province. The model was based on scoring and weighting of bio-physical and human activity factors. Ranking method and Composite Mapping Analysis (CMA) were used to establish the model. The result showed that the accuracy of model by ranking method to determine the vulnerability level and zone of forest and land fire was only 62.4% in Kapuas Tengah watershed. Therefore the model was not good enough to represent actual condition in the field. The accuracy of model using CMA method to determine the vulnerability level and zone of forest and land fires was 84%. Therefore, CMA method could be used to determine vulnerability level and zone of forest and land fire. Using the CMA method showed that the Kapuas Tengah watershed consisted of 1,051,029.4 ha highly vulnerable, 379,307.0 ha of moderate and 195,010.7 ha of low vulnerable. The vulnerability map can be used for early warning system to prevent forest and land fires. .
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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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