Judul: Monitoring Luas Hutan Rakyat Berdasarkan Citra Landsat : Kasus di Kecamatan Cikalong, Kabupaten Tasikmalaya, Jawa Barat
Abstrak: Increasing of community forest become larger than previous age related to increasing of spatial monitoring to the community forest development, the objective of this program to support the operational management development in future. To help presenting the information and updatable quickly, remote sensing technology with Landsat satelite is a method to monitor the changing community forest area. This research held in Cikalong District, Tasikmalaya Regency, West Java by using citra landsat which captured in 1994, 2000, 2005 and 2010. Land cover classification visual analysis in citra 2005 and 2010 and digital analysis in citra 1994 and 2000. Factors that influence to the development of community forest area were identified by using open type interview and non-structured interview methods. Success evaluation measured by using accuracy test (kappa, overall, user and producer) and separability analysis. While, the measurement to analyze alteration from community forest area by using the post classification comparasion method. The result from digital analysis by using citra landsat showed 12 classes of land covers, i.e water flow, plantation forest, open area, settlement, community forest, mixing farm, dry agriculture area, swamp, rice field, bush, cloud, and cloud shadow. Citra Landsat visual analysis showed 10 classes similar with digital analysis without cloud and cloud shadow. Accuracy result from citra landsat classification showed the value of kappa 97,21 %, overall 98,18 %, user 96,66 %, and producer 97,85 % in citra 2010. The value of kappa 93,03 %, overall 95,45 %, user 92,62 %, and producer 97,39 % in citra 2005. Value of kappa 87,6 %, overall 89,14 %, user 91,88 %, and producer 85,86 % in citra 2000. Value of kappa 89,03 %, overall 90,32 %, user 90,93%, and producer 84,45 % in 1994. The period between 1994-2010 community forests increased dynamically because of over function land use to be community forests especially mixing farm and dry agricultural area. In 1994 community forest showed at 4282,45 ha , 6501,61 ha in 2000, 8077,41 in 2005 and 8157,41 in 2010. The factors that influence increasing community forests is land tenure, good market access, good institutional, planting culture or local wisdom and success story about community woods entrepreneur between local community.
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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: Infeksi Virus Parainfluenza Pada Anjing
Abstrak: Virus parainfluenza anjing termasuk famili Paramyxoviridae, berbentuk pleomorf dengan ukuran bervariasi (bergaris tengah antara 100-500 nm), berpembungkus peka ether, berisi genom RNA dan secara serologis mempunyai kesamaan dengan virus SV-5 kera; dikenak sebagai salah satu kausa penting dari sindrom "kennel cough". Infeksinya dapat mengenai anjing semua umur yang belum pernah terinfeksi atau mendapatkan vaksinasi mengakibatkan gejala klinis ringan yang terbatas pada traktus respirasi atu infeksi yang secara klinis tidak memperlihatkan gejala nyata. Gejala klinis yang nampak setelah masa inkubasi (1-5 hari) terlewati berupa batuk yang tidak berat selama beberapa hari, berbagai tingkat tonsilitis dan pharyngitis dan kadang-kadang ditemukan kenaikan temperatur rektal antara 1-2 derajat C dari temperatur normal rat-rata. Anjing terinfeksi mengandung virus pada traktus respirasi bagian atas dan bawah serta limfonoduli sampai hari ke 9 setelah infeksi. Penyebaran virus antar anjing terjadi secara aerogen.
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