Judul: Pendeteksian Tumpahan Minyak di Laut Timor dengan Metode Filter Frost dan Gamma Terhadap Citra ALOS PALSAR di Ladang Minyak Montara
Abstrak: Aktifitas manusia di daratan dan sekitar pesisir lautan akan menghasilkan limbah yang akan dibuang ke lingkungan. Menurut Group of Expert on Scientific Aspect of Marine Pollution (GESAMP) bahwa 6,44 juta ton/ tahun hidrokarbon masuk ke dalam perairan yang berasal dari kegiatan transportasi laut, pengoperasian pertambangan minyak di anjungan serta kegiatan industri oleh manusia (Hartanto, 2008). Kegiatan operasional pertambangan minyak di lepas pantai memiliki kemungkinan terjadinya kecelakaan yang menyebabkan munculnya tumpahan minyak berupa kegiatan (1) pengoperasian kapal tanker da lam proses deballasting (sistem kestabilan kapal menggunakan bongkar-muat air) (2) kecelakaan kapal maupun tanker dan (3) munculnya semburan sumur minyak yang disebabkan oleh kerusakan struktur platform ataupun peralatan. Kejadian tumpahan minyak yang dikaji pada penelitian ini terjadi di Laut Timor pada tanggal 21 Agustus 2009–3 November 2009 tepatnya di sekitar lepa s pantai utara dari Australia bagian Barat dan berada di perairan bagian selatan dari Indo nesia. Kejadian tumpahnya minyak ke perairan ini dapat memberikan dampak negatif terhadap ekosistem lingkunga n laut beserta biota di dalamnya . Oleh karena itu dibutuhkan penelitian dengan memanfaatkan teknologi penginderaan jauh untuk mengidentifikasi dan memantau penyebaran tumpahan minyak di wilayah Republik Indonesia.
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Judul: Deteksi Tumpahan Minyak Montara di Laut Timor Menggunakan Citra MODIS dengan Berbagai Algoritma
Abstrak: Oil Spill in the Timor Sea that occurring in 2009 has caused oil expansion to an area of 10.842.81 km2. The Oil spill was successfully detected by MODIS imagery. The purpose of this study was to compare the detection of oil results from various algorithms with MODIS imagery and it’s visual appearances. The algorithm used is Oil Spill Index, Flourecence Index, Sea Surface Temperature (SST) Callison, Principal Component Analysis (PCA), and Normalized Difference Vegetation Index (NDVI). The appearance of oil spill in MODIS image extracted using oil spill index and flourecence index was brighter than the surrounding water bodies and has higher pixel values, while the appearance of oil spill on PCA and NDVI algorithms appeared darker than the surrounding water bodies and has a lower pixel value. The test accuracy of the algorithms are, 41%, 46%, 41%, and 60%, respectively.
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Judul: A Continuous Vaccination Strategy in the SVIR Epidemic Model
Abstrak: Vaccination is conducted to minimize the spread of a disease. The vaccination is usually done several times within a fixed time interval. In the SVIR model, it is assumed that individuals do not get immediate immunity following a vaccination program. So according to process of vaccination on SVIR model, there are two strategies, i.e. the continuous vaccination strategy (CVS) and the pulse vaccination strategy (PVS). In this study, only the CVS strategy in epidemic model SVIR is considered. Results of the study indicate that dynamics of the CVS system depends on the basic reproductive number. If the basic reproductive number is less than one, then the disease-free fixed point is asymptotically stable. It means that the disease will eventually disappear from the population. Conversely, if the basic reproductive number is greater than one, then the endemic fixed point is asymptotically stable, which means that the disease will remain exist in the population. Simulation result shows that the vaccination would minimize the spread of disease by reducing the basic reproductive number. If the time for the vaccinated recipients to obtain the immunity, as well as a possibility of vaccinated recipients to be infected are neglected, then the disease will be eradicated. This condition is called an over-evaluating effect of vaccination.
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