Calpastatin is one of gene markers affecting meat tenderness. The study aimed to evaluate genetic variation of calpastatin (CAST) gene of Bali cattle (Bos javanicus) in lndonesia. A total of 61 samples consisting of 21 Bali cattle, 22 Ongole cattle (Bos indicus), and 18 Friesian Holstein (FH) cattle (Bos taurus) were applied. The Ongole and FH cattle were involved for breed comparison. DNA was extracted from fresh blood using a High Salt method and measured their quality by a Spectrophotometer. A 523 bp of Calpastatin gene fragment was amplified by Polymerase Chain Reaction and Restriction Fragment Polymorphism (PCR-RFLP) technique with RsaI restriction enzyme for genotyping. Result showed that two variants alleles (C and G) and three genotypes (CC, GC, GG) were found in those Bali, Ongole and FH samples. Allele G was dominant allele with the highest G allele was in Bali cattle population (0.88). The higher percentage of allele C was found in Ongole and Friesian Holstein compared to that in Bali cattle. The Ongole breed tends to have a potential source of lean meat quality. This finding identified that genetic variation of CAST gene was exist in Bali cattle and adapted cattle of Ongole and FH in Indonesian.

Xylocarpus granatum is an Indonesian plant that has bioactives content of phenols and high antioxidant activity on it. The aim of this research was to determine the optimum condition maceration for Xylocarpus granatum stem as antioxidant and antiglycation. The optimum conditions of maceration were effected by the extraction variables (concentration, sample/solvent ratio, extraction time) were evaluated using surface response method. The optimum condition was determined from the recovery of the respons. The optimum condition of maceration is predicted to be achieved when the solvent concentration is 52.25%, the extraction time is 15.92 hours, sample/solvent ratio is 1 g/9 ml with the response (yield, total phenol content, flavonoid, inhibition for 2,2’-diphenylpicryl hydrazyl, capacity of 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid), and inhibition antiglycation were 12.81%, 1.95 mg of gallic acid/g extract, 62.33 μg quercetin/g extract, 41.11%, 0.71 TEAC, and 112.33%, respectively). Optimization extraction conditions shows that the extraction variables have significant effect on respons so it can reduce the extraction time, economic, and produce high bioactivite constituens.

From previous research reported that tropical peatland is one of terrestrial carbon storage in Earth, and has contribution to climate change. Synthetic Aperture Radar (SAR) is one of remote sensing technology which is more efcient than optical remote sensing. Its ability to penetrate cloud makes it useful to monitor tropical environment. This research is conducted in a tropical peatland in Siak Regency, Riau Province. This research was conducted to identify tropical peatland in Siak Regency using polarimetric decomposition, unsupervised classifcation ISODATA, and Radar Vegetation Index (RVI) from SAR data that had been geometrically and radiometrically corrected. Polarimetric decomposition Freeman-Durden was performed to analyze radar backscattering mechanism in tropical peatland, which shows that volume and surface scattering was dominant because of the presence of vegetation and open area. Unsupervised classifcation ISODATA was then performed to extract “shrub class”. By assessing its accuracy, the class that represents shrub class in reference map was selected as the selected “shrub class”. RVI then was calculated using a certain formula. Spatial analysis was then conducted to acquire certain information that average value of RVI in tropical peatland tend to be higher than in non-tropical peatland. By integrating selected “shrub class” and RVI, peat classes were extracted. The best peat class was selected by comparing with peatland referenced map which is acquired from the Indonesian Agency for Agricultural Resources and Development (IAARD) using error matrix. In this research, the best peat class yielded 73.5 percent of Producer’s Accuracy (PA), 81.6 percent of User’s Accuracy (UA), 66.1 percent of Overall Accuracy (OA), and 0.1079 of Kappa coefcient (Ks).

Banteng, Bos javanicus, as wild cattle is a vital and importance source of germplasm in Indonesia. Various human activities currently threaten their conservation status. Nonetheless, no long-term monitoring programmes are in place for this species. Using distribution point and statistical analysis based on 46,116 camera trap days from December 2015 to January 2017, we aimed to provide habitat preferences, activity patterns and ecological data for banteng population in Ujung Kulon National Park (UKNP). It is the largest population of banteng in Indonesia and is living in a limited habitat area. According to the best occupancy model, the most suitable areas for this species were the secondary forest located at the center portion of UKNP. The presence of the invasive cluster sugar palm, Arenga obtusifolia, in dry season provides additional alternative food for banteng when its main food is scarcer in the forest. Banteng was cathemeral all year round, with the proportion of cathemeral records and the recording rate did not change with the protection of the level area, moon phase or season. To reduce the probability of encountering predators, banteng avoided the space use of dholes. Selection and avoidance of habitats was stronger than avoidance of the predator activity areas. Habitat competition from domestic cattle which grazed illegally in the national park appears to be a problem to the species since zoonosis appears from domestic cattle to banteng. Therefore, effective law enforcement and an adequate conservation strategy are required to eliminate the impacts of both direct and indirect threats.

Many plants of the family of Araceae possess significant benefit as medicinal plants. Anthurium hookerii is herbaceous genus of the family of Araceae. A. hookerii leaves were extracted with five dissimilarity solvents (methanolic, water, ethyl acetate, n-hexane, and dichloromethane). The extracts were evaluated for their phytochemical, total phenolic contents, and antibacterial potential. The presences of tannins and saponins were found in all crude extracts. The steroid was only found in dichloromethane extract, whereas flavonoid was obtained in methanol and water extracts. Besides; methanol, ethyl acetate, water, and n-hexane extracts showed triterpenoid contents. Alkaloid presences in ethyl acetate, methanolic, dichloromethane, and water extracts. The total phenol content was examined by Follin-Ciocalteu assay, which varied from 9.52-76.56 mg/g GAE. The highest total phenolic was found in methanol extract. Antioxidant activity was calculated based on diphenyl picryl hydrazyl radical scavenging ability that showed the scavenging activity with range 7.24-66.11%, which the methanoilic extract have the excellent antioxidant potential (IC50 232.90 µg/ml). Antibacterial activity of leaves extracts of A. hookerii was screened based on disc diffusion method. Water extract showed the wide spectrum antibacterial potential. Klebsiella sp., Bacillus subtilis, Pripioni agnes, and Strepticoccus mutans with maximum diameter of inhibition zone 10.30, 14.20, 9.60, and 15.10 mm, respectively.

Diabetes mellitus (DM) is a serious health problem in Indonesia. Type 2 diabetes is a metabolic disease which primarily caused by obesity-linked insulin resistance. There is a link between insulin resistance and bacterial populations in the gut. Therefore, the aims of this study was to analyze composition of bacteria belong to the phylum Firmicutes and Bacteroidetes in women with type 2 diabetes and non-diabetic persons as control. The study included five female adults type 2 diabetes patients and five healthy controls. The bacteria composition was analyzed for abundance by denaturing gradient gel electrophoresis (DGGE). Metagenomic analysis based on 16S rRNA gene was represented by 12 DGGE bands. The twelve respective bands showed the similarity ranging from 77 up to 98%. Diversity of microbial composition in women type 2 diabetes was represented by five DGGE bands are Bacteroides fragilis, Bacteroides vulgatus, uncultured Bacteroides sp. clone Lb4eF4, uncultured bacterium clone 16sms90-5g05, and uncultured bacterium clone Malaga 1F14. Four DGGE bands in women healthy controls are closely related to uncultured bacterium isolate DGGE gel band Eub42, uncultured bacterium isolate DGGE gel band K115, uncultured bacterium clone HFV04255, and Enterococcus sp. the finding shows bacterial species belong to the phylum Bacteroidetes was mostly found in women diabetic group, while those belong to the phylum Firmicutes was mostly found in healthy controls.

Sonneratia, a genus of mangroves from family Lythraceae, is reported for number of high biological activity including antimicrobial. Sonneratia ovata Backer is one of the species which traditionally used by Indonesian people for the treatment of some diseases. In this research, the investigation about biological activity of S. ovata Backer as anti-microbial has been performed. The methanol extract of S. ovata Backer is highly potential as antimicrobial against gram positive bacteria, S. aureus, with IC50 value of 7.7 μg/ml which is higher than of Ampicillin as positive control with IC50 value of 37.8 μg/ml. Furthermore, stigmasterol one of the major compound of S. ovata Backer has been isolated from the methanol extract of the stem bark of S. ovata Backer. Therefore, S. ovata Backer is proven to have high activity as antimicrobial, and highly potential to be a new source of antimicrobial agent.

The 3D city/landscape model is digital representation of real environment that can be used for planner or landscape architecture in urban development planning. That model’s more focused on building, whereas vegetation model’s also needed for urban planning simulation. This research purposes are to map existing vegetation and to generate individual trees model in some level of details. The research area is campus of ITB Jatinangor and the used data are orthophoto and DSM from UAV-Photogrammetry technology. Manual segmentation, classification, and NDSM generation process can provide tree information (position, crown diameter, species, height)-as 3D vegetation modeling input. It’s also necessary to provide classification, information, detail level, and visualization of vegetation model according to landscape architecture analysis needs. This research results are 3D vegetation models in LoD 1-3 with differents information based on appearance, geometry, semantic, and topology aspects of CityGML. Models then tested qualitatively based on visualization and sun shadow analysis. For visualization, the used data only able to generate LoD 1 and 2 vegetation model and the minimum LoD required for sun shadow analysis is LoD 2. Terrestrial data, which provide the real form and size of each tree part, is needed to generate LoD 3 vegetation model.

The existence of dextran in sugar cane juice is a major problem in the sugar industry, causing substantial losses. Treatment of dextran through enzymatic hydrolysis using dextranase is highly recommended as the most suitable method at this time because this is more effective and more economical. This study investigated the production and characterization of dextranase from local isolate yeast to degrade dextran on sugar cane juice. The selected yeast was identified on the basis of molecular identification. Dextranase was produced from the culture with the best carbon and nitrogen sources then was characterized. Application of enzyme was also evaluated. As a selected isolate, F4 had the closest relationship with Pichia kudriavzevii. The highest production of dextranase was induced by the supplementation of glucose and combination of yeast extract and peptone. The enzyme had optimum working condition at pH 7, temperature at 30°C and it is more stable at 4°C of storage temperature. The cation Na+ played key role as co-factor while K+ and Ca2+ were detected as inhibitor of the enzyme. Dextranase from F4 isolate can hydrolyze dextran both in pure and in mixed dextran substrate, but with a lower hydrolysis rate.

Sea snail gonggong is an icon of Tanjungpinang-Riau Islands Province. It is a favorite seafood item in Riau Islands Province, and is high economic value but not known widely yet. Until now, sea snail gonggong has been highly exploited but the research on this snail is very limited. The aim of this study was to morphology and molecular characterization of Bintan gonggong snail (Strombus sp.) as a species validation. Bintan gonggong snail included thick-shelled gonggong and thin-shelled gonggong. Morphology identifcation of species Bintan gonggong snail was based on morphometric variability. Molecular identifcation used partial Histone-H3, MEGA version 6.06, and bioinformatics analysis. The result showed that the morphological identifcation of thick-shelled and thin-shelled gonggong based on shell width, the lip thickness, and total weight signifcantly different, but other variables (i.e shell length, shell depth, aperture length, and gonggong weight) were not signifcantly different (p<0.05). Resulted of a molecular identifcation with phylogenetic analysis that the thin-shelled and thick-shelled Bintan gonggong snails were 1 species and a genetic distance of 1%. They were not species Strombus canarium, Strombus vitatus, and Strombus epidromis. Bintan gonggong snails were Strombus turturella (Leavistrombus turturella). DNA sequences of Bintan gonggong have been registered in Gen-Bank with registration numbers MH348131 (thinshelled gonggong) and MH348132 (thick-shelled gonggong).