Judul: Pengembangan Sensor Warna Daun untuk Menduga Kebutuhan Pupuk pada Tanaman Padi
Abstrak: Leaf colour is an indicator of plant fertility level which can be used for predicting fertilizer need of the paddy plants. The use of leaf colour chart (LCC) is one of instruments to measure greenness level. This research used image processing technology for analysing leaf colour level according to the IRRI-LCC standard. Taking the image of paddy leaves used a cart which is equiped with a proximity sensor and a CCD camera. Proximity sensor functions sending a signal to the camera to capture an image at every certain travelling distance. The captured images were then saved in the hard disk memory. Furthermore, those images were processed with Visual Basic program for analysing leaves area and greenness level. Then, the results were transformed into an area colour map, where each patch of land contains information about fertilizer need. Beside analysing with image processing, the measurement of leaf colour level was also done manually. The result of the manual measurement was also translated into an area colour map. The results of the manual and image processing measurement were then compared for determining the accuracy level. Accuracy at the colour level 2 was 38%, the colour level 3 was 69%, and the colour level 4 was 75%. The correlation between leaf colour level and nutrient content of soil was observed by comparing the result of soil nutrient content test and leaf colour level. It was found that both averages show a strong correlation
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Judul: Pengembangan perangkat sensor tingkat warna daun untuk menentukan kebutuhan pupuk tanaman kedelai
Abstrak: Hingga saat ini rekomendasi pemupukan untuk tanaman kedelai masih bersifat umum yang diterapkan untuk semua lahan, sehingga petani mengunakan pupuk dengan takaran yang berlebihan yang menyebabkan produksi kedelai tidak optimal. Metode precision farming perlu dikembangkan guna menghasilkan pekerjaan pertanian yang efektif dan efisien. Tingkat warna daun dapat dijadikan parameter untuk menduga status hara tanaman yang nantinya akan digunakan sebagai referensi dosis pemupukan. Tujuan dari penelitian ini adalah untuk menduga kesuburan tanah melalui warna daun dan membuat peta variabel kesuburan tanah dengan perangkat sensor citra. Penelitian dilakukan di Lab. Sistem Manajemen Mekanisasi Pertanian dan Lab. Lapangan Departemen TMB IPB pada bulan Mei sampai September 2010.
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Judul: Truncated Stop Loss as a Optimal Solution of Reinsurance Agreement in One-Period Model
Abstrak: Reinsurance is one of risk management efforts of an insurance company, which is called the cedent. Similar with insurance, reinsurance constitutes the cedent to pay the premium. We consider one-period reinsurance model and derive a rule which minimizes the ruin probability of the cedent for a fixed reinsurance premium. Therefore, it is needed to construct an optimal reinsurance agreement for the cedent. The premium is calculated according to four different principles, i.e. economic, generalized zero-utility, Esscher, and mean-variance principles. Stop loss is a reinsurance contract which protect the insurance company for losses that exceed a certain amount. The result of this research shows that a truncated stop loss is an optimal agreement in the class of all reinsurance contracts with various premiums calculated using above mentioned principles.
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