Judul: Study of Antioxidant Potential of Red Rice and Their Utilization in “Beras Kencur” Drink
Abstrak: The objective of this research is to evaluate potential antioxidant of indigenous red rice and its application as ingredient of “beras kencur” drink. Eleven local varieties of red rice obtained from various places in Indonesia have been elaborated for their antioxidant activities by using established in vitro systems, including 2,2’-diphenyl-1-picahydrazyl free radical-scavenging (DPPH) and ferric reducing antioxidant power (FRAP). Their total phenolic and flavonoid contents were determined by colorimetric assay. The methanolic red rice extract showed various DPPH free radical scavenging activities ranging between IC50 108.9 to 320 μg/ml and the FRAP ranging between 477.9 to 1371.1 μmol Fe(II)/g. Total phenolic and flavonoid contents were in range of 27.6 – 82.1 TEA/g and 119.8 – 215.6 QE/g. Red rice from Jatiluwih exhibited the best quality among 11 samples being analyzed in term of total phenolic and flavonoid content as well as its antioxidant activity. Therefore, it was selected for further research as the main ingredient in “beras kencur” drink formulation. Formulation of “beras merah kencur” drink has been optimized by using mixture design experiment software. The optimization results indicated that the composition of 60% red rice, 20% galingale and 20% ginger had the higest desirability value. The comparative test on the “beras merah kencur“ drink, obtained from optimal formula drink (BMKOFD), with three commercial “beras kencur” drinks showed that the BMKOFD showed higher antioxidant activity (significanly different at =0.05). Morover, BMKOFD also had higher consumer acceptences in sensory aspect, e.g colour, aroma, taste and after taste (5.5, 7.4, 4.5 and 4.4 at 1-7 scale). In conclusion, the use of red rice could increase antioxidant activity of “beras kencur’ drink without lowering consumer acceptences
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Judul: Analisis sifat fisikokimia dan sifat fungsional beras (Oryza sativa) Varietas Beras Hitam dan Beras Merah asal Cianjur, Solok, dan Tangerang
Abstrak: Black rice and red rice are claimed to be safely consumed by the diabetic patients and known to have high antioxidant content. Rice which is grown in different area may have different physical and chemical properties, thus it may also affect the rice functional properties. The purposes of this study were to determine the physical properties (hardness, color and gelatinization profile), chemical properties (proximate composition, total phenolic content, total flavonoid content and digestibility of starch) and the functional properties (antioxidant activity) of the black rice and red rice from Cianjur, Solok and Tangerang and also to observe the effect of cooking on the reduction of total phenolic content, flavonoids and antioxidant activity. In vitro analysis of starch digestibility with α-amylase showed that the starch digestibility of rice which had anthocyanin pigments (black and red varieties) ranged from 56.10-83.43%, smaller than white rice which was 87.35%. In addition, the result also showed that the total phenolic content, flavonoid and antioxidant activity in black, red and white rice were decreasing after cooking process. Black rice and red rice from Solok and Cianjur had the better chemical content and functional properties than the Tangerang one.
Keyword: Bogor Agricultural University (IPB), total flavonoid content, total phenolic content, red rice, black rice, Antioxidant activity

Judul: Estimating Parameter and the Convergence of Parameter Estimator of Poisson Hidden Markov Model
Abstrak: Model hidden Markov terdiri dari sepasang proses stokastik yaitu proses observasi dan proses yang memengaruhi observasi. Proses stokastik yang memengaruhi observasi ini diasumsikan membentuk rantai Markov dan tidak diamati. Model Poisson hidden Markov (MPHM) adalah salah satu model hidden Markov diskret dan proses observasinya jika diketahui proses yang memengaruhinya diasumsikan menyebar Poisson., A hidden Markov model (HMM) consists of a pair of stochastic processes, that is the observation process and process that affected observation. The stochastic process which causes this observation is assumed to form a Markov chain and is not observed. Poisson hidden Markov models (PHMM) is one of the discrete HMM and the observation process given the cause is assumed having a Poisson distribution.
Keyword: Poisson hidden Markov model, Forward-Backward algorithm, Expectation Maximization algorithm