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: Identifikasi dan Klasifikasi Tutupan Lahan Menggunakan Citra Landsat 8 (OLI/TIRS) di Provinsi Jambi
Abstrak: Landsat 8 merupakan salah satu teknologi penginderaan jarak jauh yang dapat diakses dengan mudah dan gratis. Penggabungan kanal-kanal spektral pada Landsat 8 akan membuat citra-citra berwarna sehingga para pengguna mampu mengindetifikasi dan membedakan karakteristik dan kondisi-kondisi ciri penutup lahan. Tujuan dari penelitian ini ingin mengidentifikasi tutupan lahan di Kabupaten Muaro Jambi,Tanjung Jabung Barat, dan Tanjung Jabung Timur Jambi menggunakan Citra Landsat 8 (OLI/TIRS) dengan analisis citra secara digital. Penelitian ini ingin melihat jumlah dan jenis kelas tutupan lahan dengan metode klasifikasi terbimbing. Berdasarkan hasil analisis separabilitas menggunakan metode maximum likelihood di peroleh 17 kelas tutupan lahan yaitu pertanian campuran, badan air, lahan terbangun, lahan terbuka, kebun kelapa sawit, hutan tanaman industri Acacia crassicarpa/Eucalyptus pellita umur 1-4 tahun, hutan tanaman industri Acacia crassicarpa/Eucalyptus pellita umur > 4 tahun, sawah, awan, bayangan awan, hutan mangrove, hutan rawa primer, hutan rawa sekunder, hutan sekunder, kebun karet, semak/belukar, rawa belukar. Selain itu, penelitian ini akan melakukan pengurangan beberapa band untuk melihat jumlah kelas maksimal yang dihasilkan. Pemilihan band dilakukan berdasarkan nilai korelasi antar band. Hasil analisis separabilitas dari pengurangan band diperoleh 15 kelas tutupan lahan. Klasifikasi 17 kelas tutupan lahan memperoleh nilai overrall accuracy sebesar 96,50% dan kappa accuracy sebesar 96,24%. Sedangkan klasifikasi 15 kelas memperoleh nilai overrall accuracy sebesar 95,49% dan kappa accuracy sebesar 95,12%. Hasil uji akurasi klasifikasi 17 dan 15 kelas tutupan lahan menunjukkan ketelitian yang cukup baik dan dapat digunakan.
Keyword: klasifikasi terbimbing, separabilitas, tutupan lahan, uji akurasi

Judul: Dynamical System of Hepatitis B in Three Groups with Vaccination
Abstrak: The aim of this study is to modify the hepatitis B transmission model in three age groups involving vaccination from the model conducted by Zhoe and Zhang.The method used is to analyze the stability of the fixed point and its basic reproduction number (R_0). Performed stability analysis and numerical simulation to see population dynamics. Next, a sensitivity analysis of the parameters was carried out to see its effect on R_0. From the analysis obtained two fixed points, namely non-endemic and endemic fixed points. Non-endemic fixed points are locally asymptotically stable if R_0 <1 Meanwhile, the endemic fixed point is locally asymptotically stable if R_0 > 1. Hepatitis vaccination affects the number of susceptible population, because the more successful the vaccination, the smaller the number of susceptible populations so that the smaller the population will be infected.
Keyword: Dynamic, Hepatitis B, Vaccine, Mathematical model