Judul: Aplikasi dan evaluasi citra ALOS PALSAR resolusi 50 m dan 12,5 m untuk identifikasi tutupan lahan: studi kasus di Kabupaten Brebes, Cilacap, Banyumas dan Ciamis
Abstrak: ALOS PALSAR is a remote sensing satellite to record the surface of the earth owned by Japan and it was launched by Japan Aerospace Exploration Agency (JAXA) in January 2006. The image of ALOS PALSAR refers to highquality of microwave sensor that used a radar technology. The sensor of ALOS PALSAR has 12,5 m and 50 m spatial resolution. The research for applications of ALOS PALSAR using land cover data are still very limited. Therefore, it needed a continued research about the capability of ALOS PALSAR 12,5 m and 50 m resolution imagery to identify the land cover. This research was located in Brebes, Cilacap, Banyumas and Ciamis. Analysis of ALOS PALSAR 12,5 m and 50 m resolution imagery was done using visual analysis and digital analysis. Visual analysis was done based on appearance of images and referring to interpretation element, while digital analysis is conducted using discriminant method. Evaluation of the accuracy was conducted by Kappa accuracy, overall accuracy and separability value. Visual analysis of ALOS PALSAR 50 m and 12,5 m resolution image produced 9 land cover classes, such as water body, a young plantation forest, middle aged-old age plants, mixed gardens, young rubber plantations, middle aged-old rubber plantations, settlements, cultivated fields/flooded and vegetated fields. Kappa accuracy of the visual classification is 63,52% and overall accuracy of the visual classification is 67,57%, while the digital analysis produce 5 land cover classes, such as water body, trees, mixed gardens, settlements and fields with 64,2% proportion correct for 50 m resolution image and 65% proportion correct for image 12,5 m resolution image.
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Judul: Aplikasi dan Evaluasi Citra ALOS PALSAR Resolusi 50 m, Resolusi 12,5 m, dan Resolusi 6 m untuk Identifikasi Tutupan Lahan (studi kasus di Kabupaten Humbang Hasundutan, Kabupaten Tapanuli Utara, dan Kabupaten Samosir)
Abstrak: The application of remote sensing technology for rasionalization land resources data usage has more benefit than data collecting in conventional ways. Remote sensing techniques have been used in Indonesia for forest inventory and forest resources monitoring. Indonesia‟s geographical position where is in the tropics area that has vast cloud cover limits the use of optical satellite image data. To overcome the optical satellite image weakness, active remote sensing system (radar) is currently available. One of the satellites carrying radar sensor which was launched by the Japanese government is ALOS (Advanced Land Observing Satellite) with PALSAR (Phased Array type L-band Synthetic Aperture Radar) as its one of the sensor. This sensor is an active microwave sensor which has capability to penetrate thick cloud layer. The objective of this research is to analyze the ability of ALOS PALSAR satellite image of 50 m, 12.5 m, and 6 m resolutions on land cover classification at Humbang Hasundutan Regency, North Tapanuli Regency, and Samosir Regency. The observation has delivered 16 land cover classes, which are as follow: water body, harvested rice field, cultivating rice field, just-planted rice field, bushes, coffee plantation, dry land agriculture, town settlement, village settlement, bare land, nature forest, Eucalyptus plantation year 2010, Eucalyptus plantation year 2009, Eucalyptus plantation year 2006, Eucalyptus plantation year 2007, and Eucalyptus plantation year 2008. The result of digital interpretation of the ALOS PALSAR satellite image 50 m, 12.5 m and 6 m resolutions obtained 6 classes of land cover which are as follows: water body, rice field, dry land agriculture, settlement, bare land, and tree vegetation by different value of proportion correct. ALOS PALSAR of 50 m, 12.5 m and 6 m resolutions, each has proportion correct in consequence 62.1%, 50.5% and 68,9% Visual analysis, the result of ALOS PALSAR image with resolution 50 m obtained 8 classes of land cover,which are as follows: water bodu, dry land agriculuture, settlement, harvested rice field, young forest plantation, middle-old forest plantation, nature forest, dan bare land. Whereas, accuration and separability analysis of ALOS PALSAR image of 50 m resolution has regular accuracy value 59.15% and kappa accuracy 53.48%. The result of the interpretation raising-ability analysis of ALOS PALSAR image of 12.5 m and 6 m resolutions to the ALOS PALSAR image of 50 m resolution are able to provide additional land cover classes, clarify the delineation and make easier the identification of land cover at the satellite image.
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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