Judul: Identifikasi Kenampakan Kelapa Sawit dan Produktivitasnya Melalui Sistem Informasi Geografis (Studi Kasus PT. Perkebunan Nusantara VIII Cimulang, Bogor)
Abstrak: Oil palm (Elaeis guineensis Jack.) is an important commodity in Indonesia and still has a high development prospects. In 2011 there was a positive development at the national oil palm industry especially from the increase in production, export, and price developments. The CPO production is expected in 2011 around 23.5 million ton, with exports at 16.5 million ton, while the average price of CPO in 2011 is estimated at U.S. $ 1125 per ton. In 2011 Malaysia had reached total 5 million hectares of oil palm plantations. Malaysian oil palm production in 2011 increased 11.3% to 18.91 million tons from 16.99 million tons in 2010 (GAPKI, 2012). The efforts to improve oil palm productivity relate to many factors, such as land characteristics and its management. The lack of effectiveness management of oil palm plantations can decrease productivity of oil palm. Technologi spatial information like Remote Sensing and GIS is a current technology that may handle spatial data. These technologies can help business management such as object identification and pattern analysis of agricultural system. Identification oil palm can be conducted using a particular image, while GIS may help to analyse its pattern, so that this research’s aim were to recognise oil palm and its productivy regarding to its management. PT. Perkebunan Nusantara VIII Cimulang is one of Indonesia State Owned Enterprise engaged in management of oil palm. The results of image interpretation, ALOS AVNIR-2 showed that the PT. Perkebunan Nusantara VIII Cimulang had a variety of ages oil palm plant, that reflected from the green color and texture differences in the appearance of image. The spatial analysis result showed the highest productivity was found on the flat areas, while the lowest productivity was found in undulating region. The highest productivity oil palm was located on (Aquic) Humitropept while the lowest productivity of land was located at Typic Haplohumult. The highest productivity of oil palm was occurred at a location with fertilise dosage of 2005, while the lowest productivity was occurred at a location with fertilize dosage of 2004. From the statatistic of variance, the variatian of fertilization rate did not significantly affect the productivity of oil palm. So far, implementing of high rate of fertilization would consequently lead to high costs, but this did not give maximum profit for oil palm productivity as there was no significantly different production between the high rate and low rate of fertilization.
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Judul: Estimation of Palm Oil Productivity with Open Area Index and Vegetation Index of Landsat 8 Imagery, Rainfall and Fertilization Dosage
Abstrak: Taksasi atau perkiraan produksi tandan buah segar (TBS) dalam manajemen kelapa sawit merupakan kegiatan yang penting. Tujuan penelitian ini adalah menghitung nilai indeks keterbukaan lahan (OAI) dan indeks vegetasi (NDVI) citra Landsat 8, menentukan persamaan regresi linear berganda untuk estimasi produktivitas kelapa sawit, menentukan model terbaik persamaan estimasi produktivitas kelapa sawit pada setiap kategori dari signifikansi F (Sig. F), koefisien determinasi (R2) dan akurasi (%) serta membandingkan akurasi model dengan taksasi PTSM dan menentukan model terbaik estimasi produktivitas kelapa sawit berdasarkan uji pembobotan. Prosedur penelitian dilakukan dalam 6 tahap, yaitu tahap persiapan data, prapengolahan citra, pengolahan citra, pengolahan data, peninjauan hasil model dan penentuan model terbaik. Peninjauan hasil model berdasarkan kategori Sig. F, R2 dan akurasi dengan dipilih model terbaik dari setiap kategorinya dan hasil perbandingan akurasi secara keseluruhan pada semua model yang dibangun lebih unggul dibanding taksasi PTSM. Penentuan model yang paling baik dalam estimasi produktivitas kelapa sawit berdasarkan nilai total pembobotan dengan nilai 3,01 yang termasuk dalam kelas 3 sebagai kategori model yang baik yaitu pada rentang data 2015–2019, akumulasi 12 bulan, pergeseran 24 bulan (M-24) dengan parameter L/P/O_med yang termasuk model pada kelas umur 1–3 (tanaman muda hingga tanaman dewasa). Model estimasi dengan parameter input satelit dengan nilai 2,94 yang termasuk dalam kelas 3 yaitu pada rentang data 2016–2019, akumulasi 12 bulan, pergeseran 12 bulan (M-12), dengan parameter C/N_med yang termasuk model pada kelas umur 1–4 (tanaman muda hingga tanaman tua). Pendekatan estimasi dengan input satelit merupakan suatu kemudahan dalam proses pengumpulan data yang secara langsung diperoleh dari platform GEE. Secara keseluruhan untuk pendekatan model dengan input satelit sudah baik dalam estimasi produktivitas kelapa sawit, adapun kombinasi input satelit dan lapang menghasilkan model yang paling baik., The estimation of fresh fruit bunch (FFB) production in oil palm management is an important activity. The purpose of this study was to calculate the open are index (OAI) and vegetation index (NDVI) of Landsat 8 imagery, determine multiple linear regression equations for oil palm productivity estimation, determine the best model for oil palm productivity estimation equations in each category of significance F (Sig. F), the coefficient of determination (R2) and accuracy as well as comparing the accuracy of the model with the PTSM estimation and determining the best model for the estimation of oil palm productivity based on the weighting test. The research procedure was carried out in 6 stages, namely the data preparation stage, image pre-processing, image processing, data processing, reviewing the model results and determining the best model. Review of model results based on Sig. F, R2 and accuracy by selecting the best model from each category and the results of the overall accuracy comparison on all models built are superior to the PTSM estimation. Determination of the best model in the estimation of oil palm productivity based on the total weighted value with a value of 3,01, which is included in class 3 as a good model category, namely in the 2015–2019 data range, accumulation of 12 months, the shift of 24 months (M-24) with L/P/O_med parameters which includes the model in the age class 1-3 (young plants to
Keyword: open are index, vegetaion index, palm oil, Landsat 8, productivity

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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