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Kinetika Vitamin B Komplek Pada Proses Pembuatan Tahu dan Oncom Merah Sundari, Dian; Efriwati, Efriwati
Media Penelitian dan Pengembangan Kesehatan Vol 25, No 3 Sep (2015)
Publisher : Badan Penelitian dan Pengembangan Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (102.01 KB)

Telah dilakukan penelitian kinetika vitamin B kompleks pada proses pembuatan tahu dan oncom merah.Penelitian ini bertujuan untuk melihat kandungan beberapa vitamin B kompleks pada oncom merahdibandingkan pada tahu setelah proses fermentasi dari ampas tahu. Pengujian sampel ampas tahudiambil dari satu pabrik tahu dan pabrik oncom dimana bahan baku ampas tahunya berasal dari pabriktahu yang sama. Pengujian meliputi analisis kadar air dan analisis kadar vitamin B komplek. Hasilanalisis menunjukkan bahwa dari 10 kg kedelai dalam 1 kali produksi hanya 66,66% yang menjaditahu, sisanya 33,32% sebagai ampas tahu dan 0,901% sebagai air tahu. Pada pengolahan ampas tahumenjadi oncom merah terjadi penambahan bobot yang sangat berarti yaitu sebesar 345,19%. Padaproses pembuatan tahu, terjadi penurunan kadar vitamin B kompleks sangat tinggi dibandingkan dalamkacang kedelai yaitu vitamin B1 berkurang sebesar 41,07%; vitamin B2 berkurang 35,5%; vitaminB3 berkurang 99,08% dan vitamin B6 tidak terdeteksi lagi. Pada ampas tahu, kandungan vitamin Bkomplek yang masih ada yakni 19,59% (vitamin B2) dan berkisar antara 4-22% (vitamin B1; B3; B6)yang terkandung pada air tahu. Pada proses pembuatan oncom merah terjadi peningkatan vitamin Bkomplek yang sangat tinggi yakni untuk vitamin B1 dari tidak terdeteksi menjadi 234,78 mg; vitaminB2 dari 18,9 mg menjadi 304,89 mg; vitamin B3 dari tidak terdeteksi menjadi 517,26 mg dan vitaminB6 dari tidak terdeteksi menjadi 45,797 mg. Dari hasil penelitian ini membuktikan bahwa peningkatankadar vitamin B kompleks pada oncom merah terjadi karena adanya aktifias mikrobia selama prosesfermentasi.

Status 25(OH)D pada Penderita Sindrom Metabolik, Komponen Sindrom Metabolik, dan Orang Dewasa Sehat: 25(OH)D Status in Metabolic Syndrome, Metabolic Syndrome Components, and Healthy Adult Efriwati, Efriwati; Ernawati, Fitrah; Nurjanah, Nunung; Julianti, Elisa Diana; Aji, Galih Kusuma; Sundari, Dian; Retiaty, Fifi; Arifin, Aya Yuriestia
Amerta Nutrition Vol. 8 No. 4 (2024): AMERTA NUTRITION (Bilingual Edition)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/amnt.v8i4.2024.619-624

Background: Vitamin D supplementation to prevent Metabolic Syndrome (MetS) has been widely implemented in developed countries and is now being introduced in developing countries. However, recent studies have shown no association between vitamin D and MetS in adults. Objectives: This study aims to obtain a profile of vitamin D values in adults and explore vitamin D status in MetS patients, MetS components, and healthy adults. Methods: This research design was a cross-sectional study, utilizing both secondary and primary data from the research on the Risk Factors for Non-Communicable Diseases (RF-NCD) longitudinal study in 2021. Serum 25(OH)D levels in 956 adult respondents were determined by Enzyme-linked Immune Assay (ELISA) analysis using Stored Biological Material (SBM) serum from the 2021 RF-NCD longitudinal study. The ANOVA test was used to determine differences in vitamin D levels in various physiological conditions of respondents (MetS, MetS components, and healthy people). Results: A total of 68.5% of respondents had inadequate (deficiency and insufficiency) serum vitamin D levels, with an average of 26.5 ng/mL. The average vitamin D levels between MetS patients, MetS components, and healthy people were not significantly different (p-value>0.05). However, the number or percentage of respondents with 25(OH)D deficiency in the MetS group (12.1%) was higher than other physiological conditions. Conclusions: Most of the respondents in this study have inadequate vitamin D levels. The average vitamin D levels did not differ between physiological conditions. Further studies are needed on other micronutrient factors that affect the incidence of MetS and its components.

A COMPARISON OF LOGISTIC REGRESSION AND GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION (GWLR) ON COVID-19 DATA IN WEST SUMATRA Haq, Irvanal; Aidi, Muhammad Nur; Kurnia, Anang; Efriwati, Efriwati
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1749-1760

An understanding of factors that affect the recovery time from a disease is important for the community, medical staff, and also the government. This research analyzed factors that affect the recovery time of Covid-19 sufferers in West Sumatra. In addition, the consumption of a herbal made from Sungkai leaves, which is believed by some people in West Sumatra to accelerate the healing from Covid-19, was also included in the analysis. The recovery time here was categorized into two classes (binary): 1 for within 2 weeks, and 0 for more than 2 weeks. The methods used were logistic regression and geographically weighted logistic regression (GWLR). GWLR provides estimates of parameters for each location. The data used in this study is Covid-19 data of 2021 taken from the Regional Research and Development Agency (Litbangda) of West Sumatra with a total of 764 observations collected from 19 regencies/cities in West Sumatra. The results showed that there was no difference between the logistic regression model and the GWLR models based on the values of AIC and the ratio of deviance and degrees of freedom (df). The addition of spatial factors through GWLR models did not provide additional information regarding the recovery of Covid-19 sufferers within 2 weeks or more than 2 weeks. The logistic regression model gives the result that, at significance level α = 10%, residence, vaccination status, and symptoms significantly affect the recovery time within 2 weeks or more for Covid-19 sufferers, while other variables, namely sex, age, Sungkai leaves consumption status, and ginger consumption status have no significant effects.

PENINGKATAN KETERAMPILAN MEMBACA PEMAHAMAN DENGAN MENGGUNAKAN MODEL PEMBELAJARAN TALKING STICK PADA SISWA KELAS VI SD Efriwati, Efriwati
e-Jurnal Inovasi Pembelajaran Sekolah Dasar Vol 1, No 1 (2013): (Januari-Juli) e-JIPSD
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/e-jipsd.v1i1.228

This action research aimed to describe the improving of skill of comprehension reading by using the learning models of talking stick. The subject of this research is teacher and students of grade six at elementary school 03 Alai. The approach used was a qualitative and quantitative. The learning activities were before reading, during reading, and after reading activity. The result showed an increase in students learning outcomes at first cycle was 53%, but in the second cycle went up to 94%. Kata Kunci; membaca pemahaman; model talking stick

PENINGKATAN KETERAMPILAN MEMBACA PEMAHAMAN DENGAN MENGGUNAKAN MODEL PEMBELAJARAN TALKING STICK PADA SISWA KELAS VI SD Efriwati, Efriwati
e-Jurnal Inovasi Pembelajaran Sekolah Dasar Vol 1, No 1 (2013): (Januari-Juli) e-JIPSD
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/e-jipsd.v1i1.228

This action research aimed to describe the improving of skill of comprehension reading by using the learning models of talking stick. The subject of this research is teacher and students of grade six at elementary school 03 Alai. The approach used was a qualitative and quantitative. The learning activities were before reading, during reading, and after reading activity. The result showed an increase in students learning outcomes at first cycle was 53%, but in the second cycle went up to 94%. Kata Kunci; membaca pemahaman; model talking stick

Identifying the Characteristics of Pregnant Women with Inflammation/Infection in Indonesia Nur Aidi, Muhammad; Efriwati, Efriwati; Suryanty, Santy; Rahman, La Ode Abdul; Nurfadilah, Khalilah; Ernawati, Fitrah
Jurnal Gizi dan Pangan Vol. 17 No. 3 (2022)
Publisher : The Food and Nutrition Society of Indonesia in collaboration with the Department of Community Nutrition, IPB University

Infection in pregnant women is common and one of the highest causes of death in Indonesia. Reducing infection conditions through early infection prevention needs to be done, one of which is by knowing the characteristics that contribute to the incidence of infection in pregnant women in Indonesia. This study used the Classification and Regression Tree (CART) method to determine the pregnant women with infections and not infections characteristics and classify them. The results of the CART analysis found that seven variables contributed to separating infected and not-infected status in pregnant women, they are nutritional status based on Body Mass Index (BMI), history of anemia, pregnancy distance, Chronic Energy Deficiency (CED) status, ages, socioeconomic and gestational age. Characteristics of the highest incidence of infection, namely 79%, occurred in the group of pregnant women with overweight – obese (BMI>25.0), anemia and pregnancy distance <3 years. The classification analysis of the CART method in this study resulted in the accuracy of identification performance which was still not good, with an accuracy value of 52.78%. It is necessary analysis with other classification methods such as the Chi-square Automatic Interaction Detection (CHAID) in the future.

Comparison of Discriminant Analysis and Support Vector Machine on Mixed Categorical and Continuous Independent Variables for COVID-19 Patients Data Haikal, Husnul Aris; Wigena, Aji Hamim; Sadik, Kusman; Efriwati, Efriwati
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.48565

Purpose: Numerous factors can affect the duration of COVID-19 recovery. One method involves utilizing natural herbal medication. This study seeks to determine the variables influencing the duration of COVID-19 recovery and to compare discriminant analysis and support vector machine models using COVID-19 patient data from West Sumatra.Methods: Two data mining methods, Discriminant Analysis and Support Vector Machine with different types of kernels (linear, polynomial, and radial basis function), were employed to categorize the time of COVID-19 recovery in this work. The study utilized 428 data points, with 75% allocated for training data and 25% for testing data. The independent factors were evaluated by determining the selection variables' information value (IV) to gauge their influence on the dependent variable. Data resampling techniques were employed to tackle the problem of data imbalance. This study employs data resampling techniques, including undersampling, oversampling, and SMOTE. The balancing accuracy of Discriminant Analysis and Support Vector Machine was examined.Result: The Discriminant Analysis with SMOTE achieved a balanced accuracy of 66.50%, outperforming the linear kernel Support Vector Machine with SMOTE, which had a balanced accuracy of 63.20% in this dataset.Novelty: This study assessed the novelty, originality, and value by comparing Discriminant Analysis and SVM algorithms with categorical and continuous independent variables. This research explores techniques for managing imbalanced data using undersampling, oversampling, and SMOTE, with variable selection based on information value assessment.

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