Judul: The Aplication of ALOS PALSAR Image 50 m resolution and ALOS AVNIR-2 Image 50 m resolution for Land Cover Identification at Tuban, Blora, Rembang, and Bojonegoro
Abstrak: ALOS (Advance Land Observing Satellite) adalah satelit penginderaan jauh terbesar yang dikembangkan dan diluncurkan oleh JAXA’s Tanegashima Space Center yang membawa 3 sensor di dalamnya yaitu Panchromatic Remote Sensing Instrument for Stereo Mapping (PRISM) dengan resolusi 2,5 meter yang memiliki sensor optik, Advanced Visible and Near Infrared Radiometer type-2 (AVNIR-2), resolusi 10 meter yang memiliki sensor optik dan Phased Array type L-band Synthetic Aperture Radar (PALSAR) resolusi 10 meter dan 100 meter yang memiliki sensor radar. Penelitian ini memiliki tujuan untuk membandingkan kemampuan citra ALOS PALSAR resolusi 50 m kombinasi RGB HH-HV-HH/HV dan citra ALOS AVNIR-2 resolusi 50 m kombinasi RGB 3-4-2 dalam mengidentifikasi penutupan lahan pada studi kasus di Kabupaten Tuban, Blora, Rembang dan Bojonegoro. Hasil penelitian ini diharapkan dapat membantu menyelesaikan permasalahan laju kerusakan hutan melalui penatagunaan lahan yang sesuai dan pengelolaan hutan yang lestari. Metode yang digunakan adalah analisis identifikasi objek di lapangan, analisis diskriminan, analisis visual Citra ALOS PALSAR resolusi 50 m kombinasi RGB HH-HV-HH/HV skala 1:50.000 dan citra ALOS AVNIR-2 resolusi 50 m kombinasi RGB 3-4-2 skala 1:50000, analisis separabilitas dan analisis uji akurasi. Hasil analisis secara visual citra ALOS AVNIR-2 resolusi 50 m kombinasi RGB 3-4-2 menampilkan 8 kelas tutupan lahan, yaitu tutupan lahan badan air, pertanian lahan kering, tambang kapur, bekas tebangan, sawah, kebun campuran, pemukiman, dan hutan tanaman jati, sedangkan citra ALOS PALSAR resolusi 50 m kombinasi RGB HH-HV-HH/HV hanya mampu menampilkan 7 kelas tutupan lahan, yaitu pemukiman, sawah, kebun campuran, pertanian lahan kering, lahan terbuka, badan air, dan hutan tanaman jati. Nilai uji akurasi kappa yang dihasilkan oleh citra ALOS PALSAR resolusi 50 m, yaitu sebesar 74,40%, sedangkan citra ALOS AVNIR-2 resolusi 50 m menghasilkan nilai uji akurasi kappa, yaitu sebesar 81,62%. Klasifikasi secara digital citra ALOS PALSAR resolusi 50 m menghasilkan hasil yang lebih baik dengan nilai N – Correct 79 dan proportion correct 58,5%.
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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