Determination of Catechin Content in Gambir Powder from Dried Gambir Leaves Quickly using FT NIR PLS Model

Andasuryani, Andasuryani; Purwanto, Y. Aris; Budiastra, I Wayan; Syamsu, Khaswar

doi:10.18517/ijaseit.4.5.423

Cited by 14 publications

(15 citation statements)

References 10 publications

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“…2) by using the sensitivity analysis method in PCA as an input in prior analysis of ANN, it revealed very high value in a correlation of determination (R 2 ≈ 1.00) and very low values in root mean square and misclassification rate (RMSE and MR ≈ 0.00). Nevertheless, the finding of this research is in concordance with the previous study showing the very high value in a correlation of determination (R 2 ≈ 1.00) and very low values in root mean square and misclassification rate (RMSE and MR ≈ 0.00) which indicated that the model is declared the best linear model [29]. Similarly, based on the five hidden node model, it is clear that the SSRSP prediction performance shows an optimum value for the all three indicators.…”

Section: Resultssupporting

confidence: 92%

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Intelligent Prediction of Soccer Technical Skill on Youth Soccer Player’s Relative Performance Using Multivariate Analysis and Artificial Neural Network Techniques

Abdullah

Maliki

Musa

et al. 2016

International Journal on Advanced Science, Engineering and Information Technology

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This study aims to predict the potential pattern of soccer technical skill on Malaysia youth soccer players relative performance using multivariate analysis and artificial neural network techniques. 184 male youth soccer players were recruited in Malaysia soccer academy (average age = 15.2±2.0) underwent to, physical fitness test, anthropometric, maturity, motivation and the level of skill related soccer. Unsupervised pattern recognition of principal component analysis (PCA) was used to identify the most significant parameters in soccer for the current study and intelligent prediction of artificial neural network (ANN) was developed to determine its predictive ability for the soccer relative performance index (SRPI). The PCA has indicated sit up, agility, 5m speed, 10m speed, 20m speed, weight, height, sitting height, bicep, tricep, subscapular, suprailiac, calf circumference, maturity, task, ego, short pass, shooting right top corner and shooting left top corner are the most significant parameters in soccer. Meanwhile, the PCA-ANN showed better predictive ability in the determination of SRPI with fewer parameters such as R 2 and root mean square error (RMSE) values of 0.922 and 0.190, respectively. The current study indicated that only a few parameters are needed to improve and enhanced the performance of novice group. Nevertheless, the prediction method techniques for the present study show very high and strong ability in prediction of the player's performance. It has highlighted the possibility of defining the optimum number of parameters for the player's relative performance evaluation, which in turn will reduce the costs, energy and time of the measurement.

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Section: Resultssupporting

confidence: 92%

“…In this current research, the back propagation neural network (BPNN) model was applied based on the recommendation of previous research [29]. The network architecture of the BPNN consists of three layers namely the input layer, the hidden layer and the output layer [23].…”

Section: Methodsmentioning

confidence: 99%

Intelligent Prediction of Soccer Technical Skill on Youth Soccer Player’s Relative Performance Using Multivariate Analysis and Artificial Neural Network Techniques

Abdullah

Maliki

Musa

et al. 2016

International Journal on Advanced Science, Engineering and Information Technology

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“…Catechu tannic acid is an anhydrate of catechins [10]. The raw material, the way of processing, and the presence of impurities during the processing determine the amount of tannin content [5], [10]. Tannins are easily bonded with protein and cellulosic fibers because they contain some hydroxyl groups.…”

Section: Introductionmentioning

confidence: 99%

Study of Cotton Fabric Dyeing Process With Some Mordant Methods By Using Gambier (Uncaria gambir Roxb) Extract

Failisnur¹,

Sofyan²,

Kasim³

et al. 2018

International Journal on Advanced Science, Engineering and Information Technology

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Natural dye that was re-extracted from raw gambier is used to dye cotton fabrics. Aluminum sulfate, calcium oxide, and ferrous sulfate were used as mordants. Dyeing had used four different mordant methods which namely pre, simultaneous, post, and combined (pre and post) mordant. The chemical components in dry gambier extract were tested by using X Ray-Diffraction. The dyed cotton fabrics were evaluated by their color strength (K/S), color difference values (L*, a*, and b*), fastness to washing, rubbing and light. The results have shown that the main components of gambier were anhydrous catechins, catechins, and pyrocatechol. The use of post mordant and combined mordant methods with calcium oxide mordant had produced higher color strength (K/S) than others. The fastness to washing and rubbing values were in a range from good to excellent, while the average of the fastness to light was in a range from moderate to good. The amount of mordant metal that was bound to the fabric was between 15-40%.

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“…Before main statistical analysis, the total of missing data, data error, and outlier were checked in order to expedite the data analysis [24]. The normality of data distribution, as well as the outliers, were also checked using Kolmogorov-Smirnov and box-plot method [25]. (1) whereas Zij is the jth value of the standardize score of the measured variable i, meanwhile Xij is the observation of jth on the variable i; μ and σ are the mean and the standard deviation of Xij, respectively.…”

Section: Discussionmentioning

confidence: 99%

Unsupervised Pattern Recognition of Physical Fitness Related Performance Parameters among Terengganu Youth Female Field Hockey Players

Razali¹,

Alias²,

Maliki³

et al. 2017

International Journal on Advanced Science, Engineering and Information Technology

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This study aims to identify the most significant physical fitness parameters among youth female Terengganu field hockey players. Multivariate methods of unsupervised pattern recognition of principal component analysis (PCA) and descriptive statistic were used to determine the most significant physical fitness related performance parameters on 42 Terengganu youth female field hockey players. The first PC's project high factor loading in BMI (0.86) and predict VO 2 max (-0.82) as the most significant parameters indicating the requirements of body composition in this sport. The second PC's displayed high factor loading in 1-minute sit up (0.89) and 20-meter speed (-0.84) highlighting the need for core muscle strength. The third PC's demonstrated high factor loading in V-sit and reach (0.71) and maximum push up (0.82) were recognising the importance of upper muscle strength in the sport. The results from the current study revealed that certain physical fitness components are seemed to be more pronounced in the performance of the game by the Terengganu female youth hockey players. The study has indicated that body composition, core muscle strength, and upper muscle strength are the most outstanding physical fitness variables possess by the players for the enactment of the game compared to other fitness parameters. Highlighting the physical fitness performance related parameters might help to evaluate the strength and weakness of the players on the relevant parameters which could prompt to the adjustment of the training programme for the inclusive improvement of the players.

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Determination of Catechin Content in Gambir Powder from Dried Gambir Leaves Quickly using FT NIR PLS Model

Cited by 14 publications

References 10 publications

Intelligent Prediction of Soccer Technical Skill on Youth Soccer Player’s Relative Performance Using Multivariate Analysis and Artificial Neural Network Techniques

Intelligent Prediction of Soccer Technical Skill on Youth Soccer Player’s Relative Performance Using Multivariate Analysis and Artificial Neural Network Techniques

Study of Cotton Fabric Dyeing Process With Some Mordant Methods By Using Gambier (Uncaria gambir Roxb) Extract

Unsupervised Pattern Recognition of Physical Fitness Related Performance Parameters among Terengganu Youth Female Field Hockey Players

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