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All Journal Jurnal Kesehatan Medika Saintika Jurnal Aplikasi Teknologi Pangan
Yosi Irene Putri
Program Studi Magister Ilmu gizi, Fakultas Kedokteran, Universitas Diponegoro, Semarang
Health Professions Medicine & Pharmacology Nursing Public Health Other

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Optimasi Formula MP-ASI Bubuk Instan Sumber Protein dengan Subtitusi Hidrolisat Protein Ikan (HPI) dan Tepung Kacang Hijau Menggunakan Response Surface Methodology (RSM) Yosi Irene Putri; Syaiful Anwar; Diana Nur Afifah; Ekowati Chasanah; Yusro Nuri Fawzya; Pujoyuwono Martosuyono
Jurnal Aplikasi Teknologi Pangan Vol 8, No 4 (2019): November 2019
Publisher : Faculty of Animal and Agricultural Sciences, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (210.041 KB) | DOI: 10.17728/jatp.4346

Abstract

AbstrakPenelitian ini bertujuan untuk mengoptimalkan formulasi bahan baku sumber protein pada Makanan Pendamping ASI (MP-ASI) untuk mendapatkan kandungan protein tertinggi. Metode eksperimen yang menggunakan 3-faktor 1-respon dengan menggunakan Response Surface Methodology (RSM). Tepung susu skim, bubuk Hidrolisat Protein Ikan (HPI), dan tepung kacang hijau dengan berbagai konsentrasi digunakan sebagai sumber bahan baku dan kandungan protein digunakan sebagai respon. Hasil dari respon dianalisis dengan analisis varians (ANOVA) dan melihat nilai desirability (optimasi terbaik). Formula MP-ASI dari hasil optimasi protein terbaik kemudian dilanjutkan dengan analisis proksimat. Hasil penelitian menunjukkan bahwa jenis bahan baku memiliki pengaruh terhadap kandungan protein (p<0,05). Tiga formula MP-ASI bubuk terbaik dari hasil optimasi adalah memiliki nilai desirability sebesar 0,714–0,791, kadar protein sebesar 18,72–19,38 g, kadar air berkisar 7,14–7,34 g, kadar abu berkisar 2,95–3,10 g dan kadar lemak berkisar 5,44–5,82 g dalam 100 g bubuk MP-ASI. Kesimpulannya, formula MP-ASI dapat ditentukan berdasarkan kadar protein tertinggi dan rasio bahan baku mempengaruhi kandungan nutrisi pada produknya Optimization of Formula for High Protein–Complementary Food using Fish Protein Hydrolysate and Mung Bean Flour by Response Surface MethodologyAbstractThis research aims to optimize the formula of material for protein sources to get the optimum response (based on protein content). The method of 3-factor and 1-response was used using Response Surface Methodology (RSM) to analyze the materials of skim milk flour (g, X1), Fish Protein Hydrolysate (FPH) flour (g, X2), and mung bean flour (g, X3) as independent variable/factor, whereas protein (g, Y) was used as dependent variable /response. The results were analyzed with variant analysis (ANOVA) and observed its desirability value to obtain best optimum value. The best of formula was examined its nutrition value using proximate analysis. This research showed that independent variables (X) had significant effect to the dependent variable (Y) (p<0.05). The best three formulas of high–protein complementary food had desirability value starting from 0.714 to 0.791. The proximate test resulted protein content of 18.72–19.38 g, moisture content of 7.14–7.34 g, ash content of 2.95–3.10 g, and fat content of 5.44–5.82 g. In conclusion, the best formula could be determined successfully using combinations of protein sources.
Sensitivity and Specificity of BMI and Abdominal Circumference as Indicators of Diabetes Risks Yosi Irene Putri
Jurnal Kesehatan Medika Saintika Vol 9, No 1 (2018): Juni 2018
Publisher : Stikes Syedza Saintika Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30633/jkms.v9i1.113

Abstract

Background: Increased prevalence of obesity has an impact on increasing the risk of diabetes mellitus. BMI (Body Mass Index) and abdominal circumference are measure to assess a person including obesity or not and  the best indicator in determining the risk of developing diabetes. Objective: This study aims to assess sensitivity and specificity of BMI and abdominal circumference as an indicator of diabetes risk and using Receiver Operator Characteristic Curve (ROC). Design: The design of this study was observational (cross sectional). The data used are secondary data from the results of research metabolic syndrome on adults at Health Laboratory Hall, West Sumatera Province in 2014, with 58 people. inclusion criteria aged 30-60 years, blood glucose examination and exclusion criteria of pregnant women. Results: Shows that the average of BMI are 25,18 kg/m2. The test of sensitivity and specificity of BMI as both an indicator of diabetes risk was > 25 kg/m2 (Se 87% and Sp 76%) whereas, in both abdominal circumference as an indicator of diabetes risk was 90 cm in men and 80 in women (Se 91% Sp 58%). Analysis with ROC showed that the optimum sensitivity and specificity combination (> 0.8) was at 25.6 kg/m2 BMI with Se 87% and Sp 83% for diabetes risk. Conclusions: abdominal circumference is better than BMI when used as an indicator of diabetes risk. Anthropometric measurements of height, weight and abdominal circumference can be done regularly and periodically to detect the occurrence of metabolic syndrome or the risk of diabetes.
Co-Authors Diana Nur Afifah, Diana Nur Ekowati Chasanah Pujoyuwono Martosuyono Syaiful Anwar Yusro Nuri Fawzya