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: Katalis Zink Ferit Tersubstitusi Cu untuk Oksidasi Benzil Alkohol
Abstrak: Katalis berperan dalam menurunkan energi aktivasi. Katalis ZnFe2O4 dan ZnFe2O4 tersubstitusi Cu disintesis menggunakan metode kopresipitasi untuk digunakan dalam oksidasi benzil alkohol. Katalis dicirikan dengan spektrofotometer inframerah (FTIR) dan difraktometer sinar-X. Spektrum FTIR menunjukkan puncak serapan dari ikatan Zn-O dan Fe-O masing-masing pada rentang 559‒575 cm-1 dan 419‒447 cm-1. Difraktogram menunjukkan terbentuknya fase tunggal Zn0.6Cu0.4Fe2O4 pada katalis ZnFe2O4 tersubstitusi Cu 20%. Benzil alkohol dioksidasi dengan sistem refluks. Konversi benzil alkohol meningkat dengan meningkatnya suhu. Kadar benzaldehida yang dihasilkan dengan katalis ZnFe2O4 tersubstitusi Cu 20% lebih tinggi dibandingkan dengan katalis ZnFe2O4 yang tidak tersubstitusi dan yang tersubstitusi Cu 60 dan 80%. Hal tersebut menunjukkan bahwa katalis ZnFe2O4 tersubstitusi Cu 20% memiliki kinerja yang lebih baik dalam oksidasi benzil alkohol menjadi benzaldehida dengan kadar benzaldehida 8.763%.
Keyword: Benzil alkohol, katalis, oksidasi, ZnFe2O4