scholarly journals PEMODELAN KASUS GIZI BURUK PADA BALITA DI PROVINSI BALI TAHUN 2018 MENGGUNAKAN REGRESI SPLINE

2021 ◽  
Vol 10 (3) ◽  
pp. 148
Author(s):  
NYOMAN KRISHNA PRATIWI DANGIN ◽  
I GUSTI AYU MADE SRINADI ◽  
I WAYAN SUMARJAYA
Keyword(s):  
Body Weight ◽  
Nutritional Status ◽  
Mean Square Error ◽  
Cross Validation ◽  
Health Department ◽  
The Body ◽  
Mean Square ◽  
Unusual Condition ◽  
Body Weight Index ◽  
Children Under 5

Malnutrition associated with an unusual condition of the patient's nutritional status because the body weight index and age are not suitable, where body weight should be positively correlated with age. According to data from the Bali Health Department, malnutrition cases found in 2016 is 3,4% while in 2017 it founded 3,8%. This research uses spIine regression with malnutrition cases of children under 5 years old in Bali Province. To compare basis truncated spIine and B-SpIine, this study using the minimum value of Generalized Cross Validation (GCV) and Mean Square Error (MSE) of each basis. B-SpIine quadratic modeI with four knots is the best model.

Quantitative Analysis of Forsythiae fructus by Near Infrared Spectroscopy

2013 ◽  
Vol 807-809 ◽  
pp. 1967-1971
Author(s):  
Yan Bai ◽  
Xiao Yan Duan ◽  
Hai Yan Gong ◽  
Cai Xia Xie ◽  
Zhi Hong Chen ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Cross Validation ◽  
Ethanol Extract ◽  
Mean Square ◽  
Validation Set

In this paper, the content of forsythoside A and ethanol-extract were rapidly determinated by near-infrared reflectance spectroscopy (NIRS). 85 samples of Forsythiae Fructus harvested in Luoyang from July to September in 2012 were divided into a calibration set (75 samples) and a validation set (10 samples). In combination with the partical least square (PLS), the quantitative calibration models of forsythoside A and ethanol-extract were established. The correlation coefficient of cross-validation (R2) was 0.98247 and 0.97214 for forsythoside A and ethanol-extract, the root-mean-square error of calibration (RMSEC) was 0.184 and 0.570, the root-mean-square error of cross-validation (RMSECV) was 0.81736 and 0.36656. The validation set were used to evaluate the performance of the models, the root-mean-square error of prediction (RMSEP) was 0.221 and 0.518. The results indicated that it was feasible to determine the content of forsythoside A and ethanol-extract in Forsythiae Fructus by near-infrared spectroscopy.

Multivariate analysis of three chemometric algorithms on rapid prediction of some important quality parameters of crude shea butter using Fourier transform-near infrared spectroscopy

2019 ◽  
Vol 27 (3) ◽  
pp. 220-231
Author(s):  
Emmanuel Amomba Seweh ◽  
Zou Xiaobo ◽  
Feng Tao ◽  
Shi Jiachen ◽  
Haroon Elrasheid Tahir ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Cross Validation ◽  
Partial Least Square ◽  
Least Square ◽  
Mean Square ◽  
Saponification Value ◽  
Peroxide Values

A comparative study of three chemometric algorithms combined with NIR spectroscopy with the aim of determining the best performing algorithm for quantitative prediction of iodine value, saponification value, free fatty acids content, and peroxide values of unrefined shea butter. Multivariate calibrations were developed for each parameter using supervised partial least squares, interval partial least squares, and genetic-algorithm partial least square regression methods to establish a linear relationship between standard reference and the Fourier transformed-near infrared predicted. Results showed that genetic-algorithm partial least square models were superior in predicting iodine value and saponification value while partial least squares was excellent in predicting free fatty acids content and peroxide values. The nine-factor genetic-algorithm partial least square iodine value calibration model for predicting iodine value yielded excellent ( R2 cal = 0.97), ( R2 val = 0.97), low (root mean square error of cross-validation = 0.26), low (root mean square error of Prediction = 0.23), and (ratio of performance to deviation = 6.41); for saponification value, the nine-factor genetic-algorithm partial least square saponification value calibration model had excellent R2 cal (0.97), R2 val (0.99); low root mean square error of cross-validation (0.73), low root mean square error of Prediction (0.53), and (ratio of performance to deviation = 8.27); while for free fatty acids, the 11-factor partial least square free fatty acids produced very high R2 cal (0.97) and R2 val (0.97) with very low root mean square error of cross-validation (0.03), low root mean square error of Prediction (0.04) and (ratio of performance to deviation = 5.30) and finally for peroxide values, the 11-factor partial least square peroxide values calibration model obtained excellent R2 cal (0.96) and R2val (0.98) with low root mean square error of cross-validation (0.05), low root mean square error of Prediction (0.04), and (ratio of performance to deviation = 5.86). The built models were accurate and robust and can be reliably applied in developing a handheld quality detection device for screening, quality control checks, and prediction of shea butter quality on-site.

Rapid Determination of Docosahexaenoic Acid in Powdered Oil by Near-Infrared Spectroscopy

2010 ◽  
Vol 16 (2) ◽  
pp. 187-193 ◽  
Author(s):  
Yang Meiyan ◽  
Li Jing ◽  
Nie Shaoping ◽  
Hu Jielun ◽  
Yu Qiang ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Docosahexaenoic Acid ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Cross Validation ◽  
Mean Square ◽  
Validation Set

Near-infrared spectroscopy (NIRS) was used as a rapid and nondestructive method to determine the content of docosahexaenoic acid (DHA) in powdered oil samples. A total of 82 samples were scanned in the diffuse reflectance mode by Nicolet 5700 FTIR spectrometer and the reference values for DHA was measured by gas chromatography. Calibration equations were developed using partial least-squares regression (PLS) with internal cross-validation. Samples were split in two sets, one set used as calibration (n = 66) whereas the remaining samples (n=16) were used as validation set. Two mathematical treatments (first and second derivative), none (log(1/R)) and standard normal variate as scatter corrections and Savitzky—Golay smoothing were explored. To decide upon the number of PLS factors included in the PLS model, the model with the lowest root mean square error of cross-validation (RMSECV=0.44) for the validation set is chosen. The correlation coefficient (r) between the predicted and the reference results which used as an evaluation parameter for the models is 0.968. The root mean square error of prediction of the final model is 0.59. The results reported in this article demonstrate that FT-NIR measurements can serve as a rapid method to determine DHA in powdered oil.

scholarly journals The Relationship Between Body Mass Index with Body Fat Percentage of Participants EXPO 2021 Universitas Teuku Umar

2021 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Suci Eka Putri ◽  
Adelina Irmayani Lubis
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Nutritional Status ◽  
Body Mass ◽  
Body Fat ◽  
Body Height ◽  
The Body ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
The Relationship

Body mass index (BMI) is to monitor nutritional status adults, especially those related to deficiency and overweight. Body fat percentage can describe the risk of degenerative diseases.This study was conducted to measure the relationship between BMI and body fat percentage. Methods An analytical study was conducted to 41 male and 51 female participant from Universitas Teuku Umar. The body weight was measured using scales, whereas the body height was measured using microtoise. The body fat percentage was measured using Karada Scan. The BMI was calculated by dividing the body weight in kilogram divided by body height in meter square. Data was collected from 16-18th February 2021 and analyzed by Pearson’s correlation test. The results showed BMI underweight, normal, and overweight were 10,9, 57,6, and 31,5. High body fat percentage in men were 75,6% and in women were 35,5%. There is a relationship between the nutritional status of the women group and the body fat percentage with p-value is obtained = 0.021. Furthermore, for men, there is no relationship between nutritional status in the men group and the body fat percentage. There is a relationship between nutritional status and body fat percentage in women. Among this population, BMI can still be used to determine body fat percentage

scholarly journals Relationship between Body Mass Index (BMI) and Anemia Among Adolescent Indonesian Girls (Analysis of The Indonesia Family Life Survey 5th Data)

2021 ◽  
Vol 5 (4) ◽  
pp. 347
Author(s):  
Rieza Enggardany ◽  
Lucia Yovita Hendrati ◽  
Noran Naqiah Hairi
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Nutritional Status ◽  
Body Mass ◽  
Young Women ◽  
Family Life ◽  
The Body ◽  
Normal Body Mass Index ◽  
Measurement Results ◽  
Prevalence Of Anemia

ABSTRACTBackground: Anemia is a condition characterized by low levels of hemoglobin (Hb) from normal limits. Anemia is still a public health problem. Data states that the prevalence of anemia in Indonesia in 2013 was 21.7%, with the number of sufferers known to be higher in women than men. The prevalence of anemia in the age range 15 to 24 years was 18.4%. Nutritional status shows the balance of nutrients due to the consumption, absorption, and use of nutrients that come from food in the body. A person's nutritional status can be said to be deficient if the body lacks intake of one or more essential nutrients for the body. One of the indicators for assessing a person's nutritional status is the Body Mass Index (BMI). Inadequate nutritional status will affect the nutritional status of iron in a person' s body so that it can be interpreted that nutritional status is one of the factors of anemia. Consuming foods with good nutritional value, especially foods that contain high iron will also affect the nutritional status of these adolescents so that the risk of suffering from anemia will decrease.Objective: This study aims to analyze the relationship between body mass index and anemia among young women in Indonesia.Methods: This study is a cross-sectional study. The data used are secondary data from the Indonesian Family Life Survey (IFLS) 5. The population of this study was all Indonesians who participated in IFLS 5. The sample used in this study amounted to 3,525 respondents. IInclusion criteria of this study included female, aged 10-18 years, unmarried, having complete data regarding body weight, height and hemoglobin measurement results. If data related to the measurement results of hemoglobin, body weight, height are incomplete, they will be excluded.The statistical test was used is a chi-square test.Results: There was a relationship between Body Mass Index (BMI) and anemia among young women in Indonesia (p = 0.034 <0.05).Based on the odd ratio analysis using the normal Body Mass Index (BMI) group as a comparison, it is known that young women with underweight BMI categories have a 1.198 greater risk of experiencing anemia than girls with normal BMI categories.Conclusion: There is a relationship between BMI and anemia in adolescent girls. It is important for young women to always pay attention to daily iron intake by eating foods that are rich in iron or taking blood-booster tablets (TTD) to avoid anemia.

scholarly journals Effectiveness of nutritional status correction in children with cerebral palsy

2021 ◽  
Vol 66 (4) ◽  
pp. 135-140
Author(s):  
A. A. Kamalova ◽  
R. F. Rakhmaeva ◽  
E. M. Ahmadullina ◽  
L. I. Basanova
Keyword(s):  
Body Weight ◽  
Cerebral Palsy ◽  
Nutritional Status ◽  
Nutritional Support ◽  
Skinfold Thickness ◽  
Component Composition ◽  
Physical Rehabilitation ◽  
The Body ◽  
Children With Cerebral Palsy ◽  
Nutritional Status Of Children

The frequency of underweight in children with cerebral palsy is about 60–70%. A benefit of nutritional support in children with cerebral palsy are underestimated. The use of nutritional support during active physical rehabilitation can have a positive effect on not only body weight, but also the component composition of the body and their rehabilitation potential.The aim of our study was to evaluate the effectiveness of nutritional support – a hypercaloric (1,5 kcal/ml) polymer formula with fibers (Pediashure 1,5 Fiber, Abbott) in children with cerebral palsy.Characteristics of children and research methods. Anthropometric indicators (body weight, height, body mass index, triceps skinfold thickness, subscapular skinfold thickness, mid-upper arm circumference, shoulder muscle circumference) and body composition were studied in 15 underweight children with cerebral palsy aged 4–10 years with the level of motor disorders GMFCSIII–IV. They were prescribed of nutritional support with a hyper caloric mixture (1,5kcal/ml) with fiber lasting 3months during active physical rehabilitation.Results. Against the background of nutritional support, there was a significant increase in body weight, height, z-score of body weight, mainly due to musculoskeletal, active cell and lean mass. In addition to correcting the nutritional status of children with cerebral palsy, an improvement in their motor abilities was noted.

scholarly journals The tendency of parents’ perception about underestimating the body weight and height of their own children under five years old

2019 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Siti Helmyati ◽  
Setyo Utami Wisnusanti ◽  
Dominikus Raditya Atmaka
Keyword(s):  
Body Weight ◽  
Nutritional Status ◽  
Intervention Program ◽  
Body Height ◽  
Nutritional Intervention ◽  
The Body ◽  
Normal Height ◽  
Cross Sectional ◽  
Children Under Five ◽  
Under Five

<p><strong>ABSTRAK</strong></p><p><em><strong>Latar belakang:</strong></em> Proporsi balita gizi lebih dan gizi kurang masih cukup tinggi di Indonesia. Penanggulangan masalah gizi sangat penting dilakukan karena memiliki dampak kesehatan jangka panjang. Penyelesaian masalah gizi buruk dan gizi lebih di Indonesia terkendala dengan kurangnya efektivitas program intervensi dan pola asuh yang diberikan orang tua kepada anak. Salah satu hal yang mempengaruhi keberhasilan penanggulangan masalah gizi adalah persepsi orang tua terhadap status gizi balita.</p><p><em><strong>Tujuan:</strong></em> Penelitian ini bertujuan untuk menilai persepsi orang tua terhadap status gizi balita yang dikelompokkan antara berat badan atau tinggi badan menurut umur.</p><p><em><strong>Metode:</strong></em> Penelitian menggunakan desain potonglintang dengan memberikan kuesioner penilaian persepsi kepada orangtua yang memiliki anak balita dan datang ke posyandu di 11 Padukuhan di Kecamatan Seyegan, DI Yogyakarta. Penelitian berfokus pada penilaian persepsi orang tua terhadap berat badan dan tinggi badan anak menurut umur dan apakah orang tua mengalami underestimasi atau overestimasi terhadap status gizi anak-anaknya.</p><p><strong><em>Hasil:</em></strong> Terdapat 89 responden yang bersedia mengikuti penelitian ini. Dari jumlah tersebut, 27 orang tua (30%) memiliki overestimasi bahwa anaknya gemuk atau normal, padahal apabila menurut kurva z-skor, anak tergolong kurus. Terdapat 10 orang tua (11,2%) underestimasi terhadap tinggi badan anak yang sebenarnya normal atau tinggi namun dianggap pendek. Sebaliknya, 5 orang tua (5,6%) mengalami overestimasi dengan menganggap tinggi badan anaknya normal atau tinggi padahal sebenarnya tergolong pendek menurut kurva z-skor.</p><p><em><strong>Kesimpulan:</strong></em> Masih terdapat kesalahan persepsi orang tua terhadap status gizi anaknya. Penelitian lebih lanjut diperlukan untuk mendalami faktor-faktor yang mempengaruhi persepsi dan bagaimana cara mengubahnya sehingga pola asuh orang tua dan penerimaan terhadap program perbaikan gizi menjadi lebih baik.</p><p><strong>KATA KUNCI:</strong> persepsi; berat badan; tinggi badan; balita; status gizi</p><p><strong><br /></strong></p><p><strong>ABSTRACT </strong></p><p><em><strong>Background:</strong></em> The proportion of over- and under-nutrition is still high in Indonesia. Overcoming the nutritional problems is important since it can lead to long term health impacts. However, there are some problems that inhibit the intervention program such as low effectiveness and inappropriate parenting. One thing that affects the success of the program is about parents’ perception of the nutritional status of their children.</p><p><em><strong>Objectives:</strong></em> The study aimed to identify the perception of the parents towards the nutritional status of their children, which is categorized as body weight and height to age.</p><p><em><strong>Methods:</strong></em> The research use cross-sectional design by giving the questionnaire to the parents who have children under-five and go to Posyandu in 11 villages in Seyegan, DI Yogyakarta. The study focused on the judgment of the parents towards the height and weight to the age of their children and whether the parents under- or overestimate the nutritional status of their children.</p><p><em><strong> Results:</strong> </em>There were 89 respondents following the study. From the number, there were 27 parents (30%) who overestimate their children by assuming the children to be overweight while according to z-score they was categorized as wasted. There were 10 parents (11.2%) who underestimate the height of their children by assuming that their children was stunted while they was not. On the other hand, 5 parents (5.6%) overestimate the height of their children by saying they had normal height while the fact they were stunted.</p><p><em><strong>Conclusion:</strong></em> There is still misperception among the parents about the nutritional status of their children. Further study is needed to identify what factors affecting the perception and how to change it so that the nutritional intervention program and parenting can be better.</p><p><strong>KEYWORDS:</strong> perception; body weight; body height; children under-five; nutritional status</p>

scholarly journals CHEMOMETRIC ASSISTED QUANTITATIVE DETERMINATION OF VITEXIN IN ETHANOLIC EXTRACT OF BINAHONG (ANREDERA CORDIFOLIA (TEN.) STEENIS) LEAVES

2020 ◽  
pp. 69-75
Author(s):  
OCTAVIANUS BUDI SANTOSA ◽  
MICHAEL RAHARJA GANI ◽  
SRI HARTATI YULIANI
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Cross Validation ◽  
Multivariate Calibration ◽  
Data Sets ◽  
Calibration Data ◽  
Mean Square ◽  
Calibration Models ◽  
Pcr Method

Objective: The objective of this study was to develop a UV spectroscopy method in combination with multivariate analysis for determining vitexin in binahong (Anredera cordifolia (Ten.) Steenis) leaves extract. Methods: The partial least square (PLS) regression and the principal component regression (PCR) was performed in this study to evaluate several statistical performances such as coefficient of determination (R2), root mean square error of calibration (RMSEC), root mean square error of cross-validation (RMSECV), root mean square error of prediction (RMSEP) and relative error of prediction (REP). Cross-validation in this study was performed using leave one out technique. Results: The R2 values of calibration data sets resulted from PLS ​​and PCR method were 0.9675 and 0.9648, respectively. The low values of RMSEC and RMSECV both for PLS ​​and PCR method indicated the minimum error of the calibration models. The R2 values of validation data sets resulted from PLS ​​and PCR method were 0.9778 and 0.9820, respectively. The low values of RMSEP both for PLS ​​and PCR method indicated the minimum error of prediction generated from the calibration data sets. Multivariate calibration techniques were applied to determine the content of vitexin in binahong leaves extract. Predicted values from the multivariate calibration models were compared to the actual values determined from a validated HPLC method. It was found that PLS models resulted in the lowest REP values compared to the PCR models. Conclusion: The chemometrics technique can be applied as an alternative method for determining vitexin levels in the ethanol solution of binahong leaves extract.

Nutritional Status For Increasing Performance

2021 ◽  
Vol 2 (1) ◽  
pp. 6-12
Author(s):  
Pipit Pitriani ◽  
Basiran Basiran ◽  
Nida'ul Hidayah
Keyword(s):  
Body Weight ◽  
Nutritional Status ◽  
Community Service ◽  
Test Score ◽  
Female Athletes ◽  
The Body ◽  
Average Height ◽  
Male Athletes ◽  
Post Test ◽  
Service Activity

Nutritional status in athletes is one of the important factors that affect athlete performance. Athlete's knowledge of nutrition is still lacking. Malnutrition and other health problems are found many in athletes. The purpose of this activity is trained athletes to improve the understanding of nutritional status and measure anthropometry to improve performance. This training contains materials that is needed to improve athlete's knowledge on nutritional status and anthropometric measurements. Further it can be used in the training process or in match conditions. This community service activity was attended by 29 participants consisting of female and male athletes as well as handball trainers. The activity is carried out online. Before and after the training participants fill out a google form for data on body weight, height, and questions about training materials. From the results of data processing, the average height for male athletes was 176 ± 6.33cm and for female athletes 164 ± 5.79cm. Meanwhile, the body weight of female athletes is 60.5 ± 8.3kg and male athletes are 74.02 ± 9.05kg. BMI in female athletes is 22.5 ± 2.2kg / m2 and in male athletes 23.88 ± 1.88 kg / m2. The mean pre-test score for female athletes was 60.35 ± 11.09, while for male athletes it was 60.35 ± 14.69. The average post-test score for female athletes was 67.85 ± 11.90, while for male athletes the average post-test score was 72.5 ± 9.20. Thus, the difference (gain) change in post-test scores to pre-test in female athletes is 12.43% and 20.12% in men. From this training, it can be concluded that there is an increase in the knowledge of handball athletes regarding nutritional status, nutrition, and dietary regulation in athletes. It is hoped that further this community service activity can be carried out in terms of determining the calorie and nutritional needs of athletes as well as athletes can be given knowledge about how to make food menus according to the needs of athletes.    

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