Judul: Identification Seagrass Condition from ALOS AVNIR-2 using Artificial Neural Network at Pari Island
Abstrak: Seagrass beds have important roles in marine life, but the unavailable of information about the condition of seagrass causes difficulties in managing coastal areas properly. Regularly updated and accurate information on the percentage cover of seagrass is an essential component of the knowledge required to monitor, understand and manage this resource. Artificial Neural Network (ANN) was applied to ALOS AVNIR-2 to identify seagrass condition. Twenty two classification scenarios were done to compare the result of accuracy. There are three class of seagrass condition. Seagrass cover more than 60% indicates the condition of good seagrass. Seagrass cover from 30% to 59,9% indicates the condition of medium seagrass. Seagrass cover below 29,9% indicates the condition of poor seagrass. Best accuracy was obtained by scenario H by entering combination of blue (0.42 to 0.50 μm) and NIR (0.76 to 0.89 μm) wavelength plus water depth data as input parameters, with a value of 71.43% overall accuracy. However, looking at individual class, Scenario C, which is 58.33% of overall accuracy by using combination of blue (0.42 to 0.50 μm), green (0.52 to 0.60 μm), NIR (0.76 to 0.89 μm) wavelength plus water depth achieved higher producer and user accuracy. Overall, the result of identification seagrass condition from ALOS AVNIR-2 using artificial neural network at Pari Island in 2010 is dominated by poor seagrass, while good seagrass and medium seagrass were found in small area.
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Judul: Pemetaan Padang Lamun dengan Citra ALOS dan Citra ASTER di Pulau Pari, Kabupaten Administratif Kepulauan Seribu
Abstrak: One of the utilization of remote sensing technology is in the seagrass observations. Utilization of satellite imagery for mapping seagrass has been done before in Pari Island in 2008. Tobe able to see the changes therefore seagrass monitoring still needs to be done. The purpose of this study is to map the distribution of seagrass in Pari Island using ALOS and ASTER imagery as well as know the value of the accuracy of the seagrass distribution maps. Image processing for image sharpening using composite and Lizenga algorithm. Image classification was conducted using unsupervised classification and supervised classification. Type of seagrass found in the waters of Pari Island in general is Enhalus accoroides, Thalassia hemprichii, and Cymodocea rotundata. Extensive seagrass beds mapped with unsupervised classification method on ALOS imagery is 1.641 km2 with an accuracy of 71.01 % and the ASTER image of 1794 km2 with an accuracy of 68.11 %. Mapping the supervised classification methods known seagrass mapped area of 1.373 km2 is the ALOS images with an accuracy of 62.32 % and the ASTER image of 1.389 km2 with an accuracy of 60.87 %. Seagrass mapping with ALOS imagery has higher accuracy value of mapping using ASTER imagery.
Keyword: seagrass, classification, image, accuracy

Judul: Kinetika dan Termodinamika Korosi Logam Cu dan Inhibisinya oleh Zink (Disikloheksilditiofosfat) dengan Teknik Polarisasi Potensiodinamik
Abstrak: Zinc dialkyldithiophosphates (ZDTP) is a lubricant additives which has many functions such as anti-friction, anti-wear, antioxidants, and anti-corrosion. In this research, ZDTP type which was made is ZDTP with alkyl cyclohexyl group (ZDTPS). The yield of ZDTPS were 83.50% and 82.10%. Inhibition effectivity of zinc dicyclohexyldithiophosphate were 94.30% in concentration 3% and increase significantly in concentration 1%. The parameters of thermodynamics was measured to show the easiness of corrosion reaction occur. Themodynamics parameters of blank revealed ΔH∗ was 26.8583 kJ/mol, ΔS∗ was -150.4102 J/molK, and ΔG∗ was 72.4295 kJ/mol. Thermodynamics parameters of ZDTPS revealed ΔH∗ was 50.0563 kJ/mol, ΔS∗ was -79.9807 J/molK, and ΔG∗ was 74.2963 kJ/mol. Activation energy from the corrosion process with ZDTPS presence was 52.6509 kJ/mol. This value is bigger than energy activation of blank with the value was 29.4548 kJ/mol.
Keyword: Bogor Agricultural University (IPB), ZDTP, thermodynamic, polarization, kinetic, inhibition effectivity