Judul: Identifikasi Perubahan Tutupan Lahan Menggunakan Citra Landsat Multiwaktu dan Teknologi Sistem Informasi Geografis (SIG) di IUPHHK-HA PT. Austral Byna Kalimantan Tengah
Abstrak: The utilization of forest by Forest Concessions (HPH) or now known as The Forest Utilization License Timber-Forest Nature (IUPHHK-HA) brings many benefits but it also brings a downside for the Indonesian forestry. This activity has increased economic and regional development, but also lead to greater rates of deforestation and forest degradation as well. In general degradation that occurs in production forests result in damage or reduction of productive forest area to total forest area that will affect productivity. The negative impact of deforestation and degradation can be minimized through the efforts of a fast and efficient monitoring using remote sensing. Digital imagery or remote sensing data is one of the data to analyze the surface of the earth. Ministry of Forestry using Landsat imagery as one tool in monitoring the condition of Indonesia's forests. Landsat multi-time combined with Geographic Information Systems (GIS) facilitate the monitoring process. Both long-term monitoring and short-term monitoring can be controlled so that the rate of deforestation. This study aims to identify land cover classes as well as changes in the PT. Austral Byna in 1997, 2005 and 2012, and calculate the rate of degradation and reforestation arising from the use of forests in the periode of observations. The experiment was conducted in two phases, field phase in April-May 2012 in PT. Austral Byna, and image processing in June to November 2012 in the Laboratory of Remote Sensing and GIS Department of Forest Management Fahutan IPB. The data used are Landsat TM and ETM+ 30 m resolution coverage in 1997, 2005 and 2012 as well as other supporting digital maps. The tools used in the form of PC with the software ArcView 3.2, ArcGIS 9.1, Erdas 9.1, GPS, Camera and stationery. The result showed that successfully classified land cover both digital and visual consists of forests, fields, bushes, farm, vacant land and clouds. Degradation of the highest in 1997, 2005 and 2012 occurred in the class turned into a forest shrubs. While reforestation occurred in the highest class of the field and forest shrubs that turned into a forest.
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Judul: Deteksi Perubahan Tutupan Hutan dan Lahan Menggunakan Citra ALOS PALSAR Multiwaktu Resolusi 50 Meter di Provinsi Jambi Bagian Timur
Abstrak: Degradation and deforestation in Indonesia is a complex issue that needs to be addressed comprehensively and wisely. Within the period of 2000 - 2012, the national level rate of deforestation is estimated at about 832.126,9 ha / year, while in Jambi Province is approximately 76.522,7 ha/year. Now, the national level deforestation is generally estimated using medium-resolution satellite, such as Landsat, SPOT, ASTER, IRS etc with post-classification comparison approach. For Indonesia, which is located in the tropical region, the use of optical imagery is often constrained due to the high proportion of cloud cover and/or haze during the wet season, and smoke coverage during dry season. The availability of radar imagery such as ALOS PALSAR, JERS-1, Radarsat and ERS-1 that capable to record the earth in all weather conditions as well as capable to penetrate clouds and smoke/haze provide a new prospective in detecting forest and land cover changes. The availability of ALOS PALSAR imageries since 2006/2007 had been provided a good opportunity either for complementing or substituting the optical imagery, especially in the areas of high atmospheric disturbances. Based on the above, this research is aimed to evaluate the ability of 50-meters resolution of ALOS PALSAR imagery for detecting forest and land cover, as well as their changes in eastern part of Jambi Province between 2007 and 2009. The study site includes five regencies in Eastern Part of Jambi Province, namely Tanjung Jabung Barat, Tanjung Jabung Timur, Muaro Jambi, Jambi and Batanghari. Meanwhile, image processing and data analysis was carried out in the Physical Laboratory of Remote Sensing and Geographycal Information System, Laboratory of Forest Resource Inventory Faculty of Forestry IPB. The images used in this reasearch are ALOS PALSAR with HH, HV and synthetic band HH / HV bands recorded on 8 June to 30 November 2007 and from 13 June to 15 October 2009. The softwares used in this research are the Arcview GIS 3.2, ArcGIS 9.3, and Erdas Image 9.1. The classification method used consisted of qualitative and quantitative approaches. In qualitative approach, the classification was performed by visual interpretation on the basis of diagnostic elements of interpretation while in the quantitative approach, classification was done using the supervised classification. The research results show that the Kappa Accuracy of qualitative classification of ALOS PALSAR for 2007 and 2009 are 80% and 82% respectively, while the quantitative approach provides Kappa accuracy of 56% for 2007 and 59% for 2009. The study also found that the largest changes in land cover occured from barren land to plantation forest having area of about 16.866,4 ha. Within 2 years (2007 – 2009) period, the deforestation area is approximately 10.264,3 ha or approximately 5132.15 ha per year, where the largest deforestation occured from forest plantation to oil palm covering area of about 6.928,4 ha or 68% or about 34% per year. Besides, the largest degradation, i.e, from forest plantation to 5 barren land is about 10.195,7 ha or 87% ((or about 34% per year.) By considering the spatial patterns of forest and land cover change between 2007 and 2009, the deforestation and land degradation
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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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