Judul: Isolation of Endophytic Actinomycetes in Medicinal Plants and Their Potency as an Antidiabetes Based on α-glucosidase Activity.
Abstrak: Endophytic actimomycetes lives in plant tissues without causing a negative impact on plant. Several medicinal endophytic microbes are able to produce the same bioactive compounds as produced by the host. Inhibition of α-glucosidase is one of antidiabetes mechanism. The potency of endophytic actinomycetes from medicinal plant as α-glucosidase inhibitor needs to be elucidated. Temulawak (Curcuma xanthorrhiza), ciplukan (Physalis minima) and brotowali (Tinospora crispa) were surface sterilized and crushed, then plated on humic acid vitamin B. Actinomycetes colonies were purified and produced on International Streptomyces Project No. 4 followed by α-glucosidase assay. Crude extracts with the highest inhibition of α-glucosidase were freeze dried, then diluted at 0.07%, 0.1%, 0.3%, 0.5% (w/v) with dimethylsulfoxide and assayed. Commercial inhibitor, acarbose (Glucobay; Bayer) were used as a comparation. Fourty six isolates were classified into 29 isolates Gram positive and 17 isolates Gram negative. Fifteen isolates were actinomycetes which 11 isolates obtained from brotowali stem, and 4 isolates from temulawak rhizome. The highest inhibition (61.27%) were shown by Cx-10.1 temulawak isolate at 0.07% (w/v) concentration compared with Glucobay 0.1% (w/v) which was only 39.70%. At 0.07% (b/v) concentration, Tc-2.1 from brotowali produce low activity (24.16%). Endophytic Cx-10.1 isolate could be potential to produce higher activity of α-glucosidase inhibitor compared with Glucobay.
Keyword: 

Judul: Aktivitas Inhibisi Enzim α-Glukosidase dan Sitotoksisitas Ekstrak Kurkuminoid Rimpang Temulawak dari Berbagai Aksesi (In Vitro)
Abstrak: Temulawak (Curcuma xanthorriza Roxb.) is one of the Zingiberaceae family medicinal plants that grow in Indonesia. Temulawak rhizome contains curcuminoid which useful as an antidiabetic. This research aims to get temulawak accession with high capability of the inhibition activity of the α-glukosidase enzyme and it’s potential as a compound that toxic to shrimp’s larval Artemia salina Leach. Antidiabetic activity has been measured by formation of p-nitrophenol from enzymatc reaction of nitrophenil-α-D-glucopyranose (p-NPG) which is catalyze by α-glucosidase enzyme. The formation of p-nitrophenol was measured by spectrophotometer at λ=410 nm. The results of curcuminoid content and bioactivity assay (α-glukosidase enzyme inhibition and cytotoxicity) showed that the best accession of temulawak is Wonogiri’s accession. The value of curcuminoid content, IC50, LC50, from Wonogiri’s accession of temulawak rhizome extract, respectively for 85.19±4.64 mg/g, 333±22.52 μg/mL, and 82.78±7.70 μg/mL. Wonogiri’s accesion has the potential to be further researched and developed as a new variety.
Keyword: Bogor Agricultural University (IPB), cytotoxicity, curcuminoids, antidiabetic, Curcuma xanthooriza

Judul: Pengembangan model probabilistic neural network (PNN) pada pengenalan kisaran usia dan jenis kelamin berbasis suara
Abstrak: Voice signal can be used to represent a speaker. Voice can also be used to recognize the age range and the gender of the speaker, because of the difference in frequency of the voice signal for different age and gender. Age range for this experiment is divided into children (8-10 years old), teenagers (12-17 years old) and adults (30-50 years old). We performed feature extraction to obtain a representation of the speaker using Mel-Frequency Cepstrum Coefficient (MFCC). MFCC is used with 13, 20, 26 coefficients. Probabilistic Neural Network (PNN) is used as the feature matching model. The PNN model is constructed from three different proportions of TRD (Training data) : TSD (Testing data) (25%:75%, 50%:50%, 75%:25%). MFCC with 26 coefficient gives the best accuracy of 93.47%. The proportion of 75% (TRD) : 25% (TSD) also gives the best accuracy of 94.22%. PNN-age and PNN-gender identification result in an accuracy of 91.26%. Specifically, PNN accuracy percentage for male and female are 92.26%, and 95.20%, respectively, while for children, teenagers and adults the accuracies are 99.85%, 92.28% and 95.57%, respectively. In conclusion, the average of accuracy for all categories is 91.26%. The experiment using the voice of male-teenagers gives the worst accuracy, which is caused by the overlapping frequencies of voice in children, teenagers and adults.
Keyword: Voice identification, PNN model, MFCC, Age-identification, Gender-identification