Judul: Cendawan Endofit Bunga Beberapa Spesies Tumbuhan Obat Pembimbing
Abstrak: Cendawan endofit merupakan cendawan yang bersimbiosis mutualistik atau netral dengan tumbuhan, termasuk tumbuhan obat. Cendawan endofit berperan dalam meningkatkan resistensi tumbuhan terhadap cekaman abiotik dan biotik dengan cara menghasilkan senyawa metabolit sekunder. Senyawa tersebut dapat digunakan sebagai sumber bahan obat-obatan untuk manusia dan hewan. Tumbuhan obat dilaporkan memiliki cendawan endofit yang beragam, namun penelitian cendawan endofit dari organ bunga belum banyak dilakukan. Oleh karena itu penelitian ini bertujuan untuk mengisolasi dan mengidentifikasi cendawan endofit dari bunga tiga spesies tumbuhan obat, yaitu mawar (Rosa centifolia), pepaya (Carica papaya L.), dan bandotan (Ageratum conyzoides L.). Metode isolasi yang digunakan ialah sterilisasi permukaan dan tanam langsung, sedangkan identifikasi cendawan dilakukan secara morfologi. Diperoleh 28 isolat cendawan endofit dari bunga 3 spesies tumbuhan obat yang terdiri atas 13 genus dan 4 isolat yang tidak teridentifikasi. Tiga belas genus tersebut, ialah: Acremonium, Alternaria, Aspergillus, Bipolaris, Cladosporium, Colletotrichum, Curvularia, Exserohilum, Fusarium, Paecilomyces, Penicillium, Rhizopus, dan Trichoderma. Delapan genus diperoleh dari bunga pepaya, lima genus diperoleh dari bunga mawar, dan dua genus diperoleh dari bunga bandotan.
Keyword: identification, isolation, diversity, surface sterilization

Judul: Identifikasi Cendawan Endofit Asal Tanaman Obat dan Penapisan Potensinya sebagai Antibakteri
Abstrak: Endophytic fungi are microorganisms living in plant tissue without causing any harm to its host. The fungi can be found in all plants including medicinal plants. Endophytic fungi produced variety of bioactive compounds such as antibacterial substances. This research aimed to identify 3 isolates of endophytic fungi JBa8, JMa3, and SLbt3 which were isolated from medicinal plants and to screen their potency as source of antibacterial compounds. Identification of endophytic fungi was performed based on morphological characteristics and DNA barcode using ITS region. Antibacterial test was conducted against Bacillus subtilis, Staphylococcus aureus, Pseudomonas aeruginosa, Enteropathogenic Escherichia coli (EPEC) K1-1, and microflora E. coli by antagonism technique and agar diffusion method using mycelia extract with methanol solvent. The inhibition activity of fungal extract on bacterial tested was observed on the day 3rd, 7th, 10th, and 14th after incubation by measuring clear zone around the colonies. The 3 isolates were tentatively identified as Fusarium solani for JBa8, Fusarium sp. for JMa3, and Colletotrichum sp. for SLbt3. Antibacterial activities were observed in F. solani and Fusarium sp. which were isolated from jati belanda (Guazuma ulmifolia) and jahe merah (Zingiber officinale), respectively. F. solani inhibited the growth of EPEC K1-1, whereas Fusarium sp. suppressed P. aeruginosa with clear zone produced was 12 mm. Fusarium sp. had antibacterial activity similar with that of 8 μg/mL cefotaxime positive control. The F. solani antibacterial activity, however, was lower than the two positive control concentrations used. Colletotrichum sp. isolated from sambiloto (Andrographis paniculata) did not have any antibacterial to all bacteria tested.
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Judul: Implementation of Spatio-Temporal Change Query in Relational Database.
Abstrak: Geographic object changes in various views. Object changes are recorded using a model of static storage. No historical connection between old version data and new version data has been built. For that, a storage model of spatio-temporal queries that can analyze spatio-temporal changes has been developed. The object changes the geometry are grouped according to the taxonomy of Spatio-Temporal Pattern Change. This research has been able to apply the query patterns change including born, expand, merge, contract, split, normal and die. This query based on geometric (area) changes. The implementation of spatio-temporal change queries represents an object changes continuously with easy, change detection is done by comparing two versions of data. Keyword: spatio-temporal change query, spatio-temporal change pattern.
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