Judul: Eksplorasi Bakteri Simbion Spons di Ekosistem Lamun
Abstrak: Sponge has been acknowledged for its ability to produce secondary metabolites compounds that have been explored for new source of marine natural product compounds. Unfortunately, information on sponge ecological interaction, especially concerning its secondary metabolite production and symbiotic organisms, are usually from observation and experimental researches in coral reefs ecosystem. Meanwhile, not many information has been gathered on sponge community and its ecological interaction in the seagrass ecosystem. Information on sponge community and its ecological interaction in seagrass ecosystem should be explored intensively, for seagrass vegetation could has different environmental condition due to seagrass species characterization that composing the ecosystem. Thus, vegetation characterization of seagrass will influence sponge community and its secondary metabolite, and also its interaction with symbiotic microbial (bacterial). This research wants to figure out several issues concerning sponge community in seagrass ecosystem. These issues are: will sponge species composition and association be different due to condition of seagrass vegetation in the ecosystem; is sponge species in seagrass ecosystem have the same potential concerning its antibacterial activity as in reefs area; how diverse the sponge bacterial symbiont and the potential of its secondary metabolite; and also how the ecological interaction between sponge and its symbiotic bacterial. This research was conducted in several stages. The first stage is field observation at seagrass ecosystem. The next stage was conducted as laboratory activities. Laboratory activities were conducted in several phases. The phase was an assay to test the antibacterial activity of sponges tissues on generally tested bacteria (Escherichia coli and Staphylococcus aureus) and marine bacteria isolates from surrounding water (Al1, Al2, Al3, Al4 and Al5). The aims of this activity were to screen potential sponge that having antibacterial activity, and isolating its symbiotic bacterial. Afterwards, the next phase was an assay to test the antagonistic activity of sponge symbiotic bacterial against marine-biofilm forming bacteria. Symbiotic bacterial with high antagonistic activity then analyzed for its species diversity, using molecular analysis of symbiotic bacterial DNA fingerprinting and identification. Field observation was done in two different seagrass meadow/bed in Pramuka Island, Seribu Islands, near Jakarta Bay, Indonesia, since September 2013 to Mei 2014. Laboratory assays activities were done in Marine Microbiology Laboratory and Marine Biosystematics and Biodiversity, Departement of Marine Science and Technology, Bogor Agricultural University (IPB). Antibacterial assay on sponge tissue was conducted since September 2013 to March 2014, whilst isolation on symbiotic bacterial and secondary metabolites assay were done from December 2013 to November 2015. Molecular analysis on bacterial symbionts diversity and identification were just done ons January to May 2016. Results of this research showed that sponge community in seagrass ecosystem was influenced by the density, morphological form and vegetation architectural of seagrass beds. Sponge will have more species number (higher diversity), with lower abundance in patchy seagrass bed. On the contrary, diversity of sponge will be lower, with higher individual number (abundance) in continuous seagrass bed, regarding higher protection mechanism from predatory activities in continuous bed. Overall, sponge community at both seagrass beds (Site 1 and 2) were dominated by Spirastrella sp. (Sp) and Agelas conifera sponges. Antibacterial assay showed that only
Keyword: asosiasi spons, anti biofilm, bakteri simbion, interaksi ekologis, lamun

Judul: Penapisan Bakteri Penghasil Senyawa Antimikrob Asal Spons Laut
Abstrak: Sponges are invertebrate found on coral reef ecosystems. Sponges produce many bioactive compounds as a result of secondary metabolites. The bioactive compounds is produced by microorganisms in the presence of sponges tissue as symbionts. Bioactive compounds are potential to be used in the biomedical and pharmaceutical fields, one of them is antimicrobial. This study aims to screen bacteria from marine sponges of Bira Island, Thousand Islands, DKI Jakarta Province, namely Callyspongia sp. and Petrosia sp. that could potentially produce antimicrobial compounds. The results of isolation using six types of medium showed a total of 147 bacterial isolates were isolated from the sponge type Callyspongia sp. and Petrosia sp. The suitable mediums used to isolate bacteria associated with sponge to obtain various types of bacterial colonies, were medium Nutrient Agar and Zobel Marine Agar. The results of the screening obtained from 26 isolates (13%) could produce antimicrobial compound. Seven isolates (5%) of them were able to inhibit five bacterial targets, i.e. Pseudomonas aeruginosa, Staphylococcus aureus, Bacillus subtilis, Escherichia coli (ATCC 8739), and Enterophatogenic Escherichia coli (EPEC). The isolates were CAL36, CAL42, PTR8, PTR21, PTR40, PTR41 and PTR47. Gram staining performed on 26 bacterial isolates showed all of them belong to the group of gram-negative bacteria. Six isolates among 26 isolates were positive hemolysis derived from the sponge type Callyspongia sp., namely CAL22, CAL24, CAL25, CAL26, CAL34, and CAL49.
Keyword: Bogor Agricultural University (IPB), sponge Petrosia sp., sponge Callyspongia sp, hemolysis, Bira Island, antimicrobial compound

Judul: Pengenalan Wajah dengan Citra Pelatihan Tunggal Menggunakan Algoritme VFI5 Berbasis Histogram
Abstrak: Face recognition is one of the biometric methods which is frequently used. One of the approach in face recognition is view based (photometric) approach which represents the information of the image pixels. In this research, information from the image pixels represented using the image histogram. According to Gonzales (2002), histogram are the basis for numerous spatial domain processing techniques. Histogram is used as input to Voting Feature Intervals 5 (VFI5) algorithm. Range of image histogram is 0-255 divided into several intervals. Afterwards, on training stage will be determined the vote value from single training image per person that will be used in the classification stage. The recognition rate is reached 96.3%.
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