Judul: Pendugaan Potensi Hutan Rakyat Menggunakan Citra Landsat 7 ETM+ di Kabupaten Ciamis Bagian Utara
Abstrak: Development of forest outside the forest area managed state today can be an alternative solution to the problem of forest resource pressures. One such alternative is the developed of private forest that are socially, economically, and ecologically profitable. Increased potential of timber forest product on private forest have significance in private forest management activities. Therefore, it is necessary to have an estimate of potential of research activities in private forest. The purpose of this research is to formulate a Estimation model of potential of private forest using Landsat 7 ETM+ imageries and create a map of distribution potential of private forest using Landsat 7 ETM+ imageries in north of Ciamis Regency. Stages of this research consisted of: preparation, image processing, field data collection, field data processing, modeling, and a map of distribution potential of private forest. The results of analysis shows the correlation between the value of NDVI with value of standing volume is high relatively (> 0,800), this case explains that the value NDVI on Landsat 7 ETM+ imageries can be used in surmise standing volume. Based on the results of the regression analysis and mapping accuracy test, selected models are used for mapping the distribution of potential of private forest in north of Ciamis Regency is the exponential models is V = 20,905*℮(1,765*NDVI) with R2 values of 62,8%, Kappa Accuracy of 30,9%, and the value of Overall Accuracy of 56%. Overall the location of villages surveyed are had a potency between 44,6 m3/ha up to 78,3 m3/ha with a total potential of private forest between 1.366,9 m3 up to 70.868,4 m3.
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Judul: Model Penduga Potensi Tegakan Hutan Menggunakan Citra Satelit Resolusi Sedang di Kabupaten Lampung Selatan
Abstrak: Hutan berperan penting dari segi ekonomi, sosial dan ekologi sehingga dibutuhkan pengelolaan hutan secara lestari.Informasi potensi tegakan hutan dapat digunakan sebagai dasar pengelolaan dan pemanfaatan hutan secara berkelanjutan. Penelitian ini bertujuan merumuskan model penduga potensi tegakan hutan menggunakan citra resolusi sedang dan membuat peta sebaran potensinya berdasarkan model terpilih. Data yang digunakan dalam penelitian ini adalah citra Landsat 8. Model-model penduga dibangun menggunakan peubah indeks vegetasi berbasis citra satelit, yaitu NDVI, GNDVI, RGI, SAVI, DVI, SRVI, dan IPVI. Hasil analisis menunjukkan bahwa nilai indeks vegetasi memiliki koefisien korelasi yang cukup tinggi dengan volume tegakan. Pemilihan model didasarkan dari nilai skor yang mempertimbangkan nilai s, R2, SA, bias, dan RMSE. Hasil penelitian dapat menunjukkan bahwa model penduga potensi tegakan terbaik adalah model eksponensial menggunakan peubah indeks vegetasi GNDVI dan SAVI, dengan bentuk model persamaan V = exp (2.18 + (1.33 SAVI) + (4.46 GNDVI)) dengan nilai R2 sebesar 57.6 %. Potensi hutan di Kabupaten Lampung Selatan menurut model terbaik adalah sebesar 5 594 706.60 m3 dengan rata-rata 141.89 m3/ha. Kecamatan Tanjung Sari memiliki potensi hutan tertinggi sebesar 1 389 436.96 m3 dengan luas hutan 9729.11 ha. Kecamatan yang memiliki potensi hutan terendah adalah Kecamatan Way Panji sebesar 8352.36 m3 dengan luas hutan hanya 87.78 ha.
Keyword: indeks vegetasi, Landsat 8, model penduga, potensi tegakan

Judul: Hydroxyapatite-Chitosan Composite Coating on Stainless Steel 316 to Improve Corrosion Resistance
Abstrak: Metals that were used in bone implantation should have good corrosion resistance that were not easily corroded when implanted into the body. Metal corrosion resistance of stainless steel 316 can be enhanced through the metal coating by hydroxyapatite-chitosan composite with composition ratio of hydroxyapatite (gram) and chitosan 3% (mL) 0.2:0, 0.2:0.1, 0.2:0.5, 0.2:1.0, and 0.2:1.5. Besides improving the corrosion resistance of metal, the presence of chitosan also maintain the position of hydroxyapatite on metal surfaces. Corrosion resistance increases with increasing amount of chitosan added and the best composition of hydroxyapatite-chitosan composite was 0.2:1.0.
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