Judul: In Vitro Assay of Water and Ethanol Extracts of Asam Gelugur Fruits, Lengkuas, and Kencur Rhizomes as Inhibitor of Pancreatic Lipase Activity.
Abstrak: Asam gelugur fruits of Garcinia oftenly used to reduce body weight. Lengkuas and kencur are traditional herbal that potential as inexpensive and available antiobesity because they had been studied could reduce the level of phospholipids, triglycerides, and cholesterol. This research evaluated the potencies of these herbal as antiobesity by their water and ethanol extracts capabilities in inhibiting pancreatic lipase activity in vitro at pH 8,0, incubation time 45 minutes, and temperature 40°C. This research used human pancreatic lipase (1,4 × 10-5 μg/μL) and sesame oil (16,2 μg/μL) as substrate. The water and ethanol extracts of asam gelugur fruits contained saponins and alkaliods, respectively. The water extract of lengkuas rhizomes contained alkaloids, flavonoids, saponins, dan quinones, while the ethanol extract contained alkaloids, flavonoids, saponins, and steroids. The water extract of kencur rhizomes contained saponins and quinones, while the ethanol extract contained alkaloids, flavonoids, steroids, and quinones. These plants have potencies as antiobesity based on in vitro assay in inhibiting pancreatic lipase activity. The highest inhibitory effect of all extracs was obtained from the ethanol extract of asam gelugur fruits with value of 86,3% at 150 ppm. The highest inhibitory effect of lengkuas extracts was from the ethanol extract at 200 ppm, which was about 56,2%. The highest inhibitory effect of kencur was showed by the ethanol extract with the value 37,6% at 300 ppm. These values were higher than the inhibitory effect of the positive control (Xenical®) at 100 ppm, about 10,6%.
Keyword: 

Judul: Khasiat Ekstrak Rimpang Kunci Pepet dan Buah Asam Gelugur sebagai Pelangsing secara In Vitro dan In Vivo
Abstrak: Garcinia atroviridis (gelugor) fruits and Kaempferia angustifolia (kunci pepet) rhizomes have been traditionally used as herbal medicine to reduce body weight. The extract of these plants has been shown (in vitro) to have antiobesity activity. The objectives of this research is to evaluate the activity of the combination of these herbs‟ ethanol extracts towards human pancreatic lipase activity by in vitro analysis (pH = 8.0, incubation time = 45 minutes, and temperature = 40 °C) and mouse pancreatic lipase by in vivo analysis. The combined extracts activity towards human pancreatic lipase was analyzed using lipase concentration of 1.4 х 10-6 μg/μL with sesame oil (0.243 μg/μL) as the substrate. The in vivo test were conducted to female mice by investigating their body weight and feed consumption changes before and after the combined extract administration. The in vitro test results showed that the 1:1 gelugor–kunci pepet ethanol extract combination had the highest inhibition activity towards human pancreatic lipase (75.69%) at 20 ppm concentration. The lowest body weight average of (171.38 g) was observed in the mice group that had been admistered with 564 mg combined extract per 200 g body weight. Their average feed consumption decreased from 30.13 g to 19.87 g per day. These results gave conclusion that the combined gelugor–kunci pepet ethanol extract is able to inhibit human pancreatic lipase activity, decrease mouse body weigth and appetite.
Keyword: 

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.
Keyword: