Judul: Sinekologi ekosistem padang lamun akibat tekanan antropogenik di kepulauan spermonde Provinsi Sulawesi Selatan
Abstrak: Anthropogenic pressures along coastal areas particularly in small islands have increased in accordance with increasing of human population. A study has been conducted in two small islands within Spermonde Archipelago, South Sulawesi i.e. Barranglompo and Bonebatang Islands to elaborate impacts of increased anthropogenic pressure to the assemblages of seagrass beds and their associated organisms. Combined field sampling and laboratory analysis were applied to provide data and information on the impacts of anthropogenic activities occurred in small islands to the seagrass ecosystem. In Barranglompo Island, there were two activities with high intensity i.e. ship/boat transportation and domestic sewage disposal. Analysis of carbon contents of seagrass Enhalus acoroides showed that this species contributed to carbon stocks as much as 0.49-1.05 ton/ha in Barranglompo Island, while in Bonebatang Island, the values ranged between 0.08-0.34 ton/ha. Meanwhile, nitrogen concentrations in Barranglompo Island were significantly higher than those in Bonebatang Island. This was supported by lower C:N ratios and higher N:P ratios in Barranglompo Island and significantly different nitrate contents of water column between both Islands (p  0.01). Potential anthropogenic activities affecting nutrient composition in Barranglompo Island were domestic sewage disposal and drainage of liquid household sewage. Based on the water quality parameter measured, It was concluded that anthropogenic activities in Barranglompo and Bonebatang Islands affected turbidity and Total Suspended Solid (TSS) only. Seagrass communities in Barranglompo and Bonebatang Islands were composed of eight and seven species, respectively, that grow in mixed community. Thalassia hemprichii was species with the highest important value index in both islands. Most of macroalgae found in both islands live as epilithic (litophytic) and epipelic (rhizophytic). Three positive and two negative associations in Barranglompo and one positive and five negative associations in Bonebatang were formed among pairs of macrophytes. Analysis of macrophyte structure in both islands classified Barranglompo in moderate ecological status, whereas Bonebatang had high ecological status. This status indicated that in Barranglompo was detected a change in macrophyte composition due to anthropogenic pressure. The highest similarity index was found among stations in the same island indicating that different islands have different macrophyte assemblages. Among all sea urchin species found in both islands, Tripneustes gratilla and Diadema setosum were two dominant species having the highest density. Index of Preponderance revealed that T. hemprichii was the largest seagrass diet within almost all sea urchin guts. Electivity index indicated that sea urchins prefer several seagrass species especially T. hemprichii.
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Judul: Design for sustainable management of seagrass ecosystems for supporting fisheries in the Spermonde Archipelago, South Sulawesi
Abstrak: Seagrasses have been well known as important habitat for various fauna, including numbers of economic important fishes, especially in the nursery stage. Therefore, seagrass ecosystems management is an important part of managing the marine fisheries. Spermonde Archipelago, a hotspot of coral and seagrass, consist of ± 120 small islands and have dense population (most of them depends on subsistence and small scale fisheries), especially in the south east of the archipelago implements an increased pressure to the seagrass ecosystems. The pressure to the ecosystems will affect the fisheries productivity. By knowing the sustainability status of the seagrass ecosystems, it will facilitate an assessment of the effectiveness of fisheries management and it will provide a valuable information to policy makers about the best policy option for the sustainability management of seagrass ecosystems in the future. Based on that, the main goal of this study was to determine the sustainability status of seagrass ecosystems in Barrang Lompo Island (BL) and Kapoposang Island (KP) for supporting fisheries. In order to achieve the main goal, there are three specific objectives were performed, namely 1). to analyze fish community structure in the seagrass beds, 2). to analyze the fishing activities and their status in the seagrass beds, 3). to design the sustainable management of seagrass ecosystems. Fish community structure was analyzed using non-metric multidimensional scaling technique and Bray-Curtis cluster analysis, while the most contributed species to difference of fish community structure was analyzed using SIMPER (similarity of percentages) procedure. All statistics analysis were carried out using PRIMER v6 software. The difference between fish distribution in both seagrass beds was analyzed with t-test and Bonferroni post-test using PRISM v5 software. Fishing activities were analyzed through fisher recognition based on the latest census data from village office and by interviews, observation of fisher’s behaviour during fishing in the seagrass beds, classification of their catches, analysis of maturity size of their catches based on life stage classification using fish maximum length. Status of fishing in the seagrass beds were determined based on FAO-like exploitation status scale and analyzed through measurement of catch per unit effort (CPUE), total catch in one year (Y), natural mortality as weight-dependence of mortality (Mw), estimated biomass in the same year (B), and maximum sustainable yield (MSY). RAPSECS (rapid appraisal technique for evaluating seagrass ecosystems sustainability) analysis using multidimensional scaling (MDS) was applied to analyze the sustainability status of seagrass ecosystems for each dimension (ecology, economic, social, technology, institution). A combination of pairwase comparison and geomean was used to determine the general sustainability status of each seagrass fisheries. Leverage analysis was applied to identify the most influence attributes to the sustainability status of each dimension. Strategy intervention was formulated based on the most influence attributes within each dimension. The results of non-metric multidimensional scaling technique and Bray- Curtis cluster analysis revealed that overall, there were significant differences of fish community structure and distribution pattern in the seagrass beds dominated by Thalassia hemprichii (TH) and Enhalus acoroides (EA). Fish abundance was higher in TH- than in EA-dominated beds, but fish biomass and species richness were lower in
Keyword: management strategy, sustainability, seagrass ecosystems, fishing, Spermonde Archipelago, RAPSECS, Thalassia hemprichii, Enhalus acoroides

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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