Judul: Land  Cover  Classification  Using  Integration  of  Aerial  Photograph and Landsat TM,  case study ofPacet, Cianjur Distric, West Java
Abstrak: The purpose of this research is to classified land cover from the combination of Landsat TM image and digital aerial photograph based on the election of band combination trough Optimum Index Factor (OIF) and analysis of visual displayed approach from digital aerial photograph and Landsat TM image. Remoter sensing datas was used on this research were Landsat TM image 1997 and aerial photograph of Cianjur with in 1:50.000 scale of 1993 from the fly path and number of photo subsequently: W 11!NY 3639, W 1 1 !NY 36 40, W 11!NY 36 41, and W 12!NY 36 28, W 12!NY 36 29, W 12!NY 36 30. Geographic and administrative data of the research area were taken from the map of Cianjur District Administrative with in 1:130.000 scale and Topographic Map (Cugenang, Cipanas and Cisarua) with in i:25.000 scaie. To classified the land cover, the analysis of Landsat TM image and digital aerial photograph was conducted first, then combination from both data. To gain data of digital aerial photograph, the aerial photograph was scanned with 170 dpi resolution which equal to the size (7.47x7.47) m in the field (in reality).
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Judul: Aplikasi Citra Landsat 8 untuk Identifikasi Kelas Tutupan Lahan di Kabupaten Ciamis
Abstrak: Landsat 8 satellite was developed by National Aeronautics and Space Administration (NASA) for natural resource monitoring activities. Landsat 8 is a continuation of the previous Landsat missions (Landsat 7) which has damaged since 2003 with the addition in number of channels and wavelength shift for each channel. The aims of this research are to determine the amount and type of land cover classes that can be identified using Landsat 8 imagery based on separability analysis and also to determine the best classification method in land cover mapping classes in Ciamis district. The using method in this research comprised of identification of land cover object that found in the field, training area, separability analysis to obtain the number of class that can be identified based on the digital number, supervised classification to classify land cover separability analysis result then accuracy test and compare its result with the visual image interpretation. Based on separability analysis, the number of classes that can be identified in Ciamis district consist 12 classes which are cloud, shadows of clouds, mangrove forest, rubber forest, coconut grove, rice field, shrub, open land, water bodie, dry land farming, residential and forest/ mixed farm. The best method to classify land cover in Ciamis district is Support Vector Machine with linear function because it has the highest value of kappa accuracy of 76,56% and has a high conformity by the visual image interpretation.
Keyword: Landsat 8, supervised classification, separability, Land cover

Judul: Pengaruh vaksin aktif dan inaktif terhadap kekebalan dalam pencegahan penyakit newcastle pada ayam
Abstrak: Penyakit Newcastle adalah penyakit yang bersifat infeksius dan kontagius yang menyerang unggas terutama ayam dan kalkun; menimbulkan kematian, penurunan produksi dan kwalitas telur sehingga menimbulkan kerugian ekonomi yang besar; disebabkan oleh paramyxovirus yang termasuk ke dalam golongan virus yang berinti asam ribonukleat. Virus penyebab penyakit ini terdiri atas beberapa galur yaitu velogenik, mesogenik dan lentogenik. Vaksinasi adalah salah satu cara untuk mencegah timbulnya penyakit dan kerugian yang ditimbulkannya. Vaksin terdiri atas vaksin aktif dan inaktif atau vaksin dalam emulsi minyak. Vaksinasi pada umur dini adalah cara yang paling baik dilakukan. Umur ayam yang tepat mulai dilaksanakan vaksinasi adalah pada umur 4 hari, karena pada saat ini titerantibodi asal induk sudah mulai turun dan kondisi ayam sudah mulai kuat untuk dilakukan vaksinasi jika melakukannya pada ayam umur sehari. ...
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