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All Journal Jurnal Gizi dan Pangan NUTRIRE DIAITA CAUCHY: Jurnal Matematika Murni dan Aplikasi GIZI INDONESIA Amerta Nutrition Jurnal Kefarmasian Indonesia Media Penelitian dan Pengembangan Kesehatan Penelitian Gizi dan Makanan (The Journal of Nutrition and Food Research)

Fitrah Ernawati

Puslitbang Gizi dan Makanan, Badan Litbangkes Depkes RI

Author-ID : 260613

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Dentistry Environmental Science Health Professions Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Dyslipidemia in Renal Dysfunction among Non-diabetic Individuals from the 2019 Indonesian Cohort Study: A Cross-Sectional Study Retiaty, Fifi; Dany, Frans; Ernawati, Fitrah; Nurjanah, Nunung; Efriwati, Eriwati; Arifin, Aya Yuriestia; Sundari, Dian; Prihatini, Mutiara; Widoretno, Widoretno; Sahara, Ema; Imanningsih, Nelis; Herawati, Ade Nugraheni
Jurnal Gizi dan Pangan Vol. 18 No. 2 (2023)
Publisher : The Food and Nutrition Society of Indonesia in collaboration with the Department of Community Nutrition, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25182/jgp.2023.18.2.71-78

The aim of this study was to investigate the relationship between dyslipidemia and the estimated Glomerular Filtration Rate (eGFR) values in a healthy population without a history of diabetes mellitus. Data were part of the cohort study database of 2019. Data analysis was perfomed using descriptive and inferential statistics with linear regression in 893 of 1,545 non-diabetic participants. The results showed that the average cholesterol levels, High-Density Lipoprotein (HDL), Low-Density Lipoprotein (LDL), and triglycerides were 196.75, 48.71, 123.37, and 109.56 mg/dl, respectively, and the average eGFR level of the respondents was 98.47±15.50 mg/dl. This study found that age, HDL levels, and LDL levels had a significant relationship with eGFR (p<0.05). It was concluded that increasing age and LDL levels and decreasing HDL levels would decrease eGFR.

Comparison of Ordinary Kriging and Cokriging for Spatial Estimation Based on Simulated Data Mutiah, Siti; Aldi, Muhammad Nur; Saefuddin, Asep; Ernawati, Fitrah
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.33409

This study compares the performance of Ordinary Kriging (OK) and Cokriging (CK) methods in spatial estimation based on simulated data. Twelve scenarios are arranged based on a combination of sample size (50, 250, 500) and correlation levels between variables (ρ=0.1, 0.6, 0.9), with each scenario repeated 30 times. Spatial data are generated randomly within the geographical boundaries of Indonesia, variables are generated based on spherical variograms with nugget or sill or dan range or ,, and model evaluation is carried out using Leave-One-Out Cross Validation (LOOCV) with RMSE and metrics. The results show that Cokriging consistently produces more accurate estimates than Ordinary Kriging in all scenarios. In the best configuration (CK, n=500), RMSE = 1.04 and = 0.945 were obtained, while the best performance of OK only reached RMSE = 1.06 and = 0.873. All levels of correlation in Cokriging showed good performance, especially when the amount of data is sufficient. Therefore, Cokriging is recommended as a superior spatial interpolation method in the context of multivariate and spatial data, especially when relevant secondary information is available.

APPLICATION OF THE COKRIGING METHOD TO ESTIMATE IRON DEFICIENCY PREVALENCE BASED ON FERRITIN AND C-REACTIVE PROTEIN Mutiah, Siti; Aidi, Muhammad Nur; Saefuddin, Asep; Ernawati, Fitrah
Media Penelitian dan Pengembangan Kesehatan Vol. 35 No. 3 (2025): MEDIA PENELITIAN DAN PENGEMBANGAN KESEHATAN
Publisher : Poltekkes Kemenkes Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34011/jmp2k.v35i3.3167

Analisis data spasial memiliki peranan penting dalam bidang kesehatan, khususnya ketika distribusi masalah kesehatan tidak merata di seluruh wilayah. Salah satunya adalah metode Cokriging, yang diterapkan untuk memprediksi prevalensi di daerah yang belum teramati, sekaligus mengatasi tantangan ketidaklengkapan data spasial akibat keterbatasan biaya, sumber daya, atau akses ke lokasi tertentu. Penelitian ini bertujuan untuk mengestimasi prevalensi kekurangan zat besi di Indonesia menggunakan metode Cokriging. Sebagai analisis lanjut dari data Riset Kesehatan Dasar (Riskesdas) 2018, penelitian ini menggunakan data dari 15.045 individu yang memiliki informasi kadar ferritin dan C-Reactive Protein (CRP), yang tersebar di 154 kabupaten/kota di empat pulau: Sumatera, Jawa, Kalimantan, dan Sulawesi. Ferritin digunakan sebagai variabel utama, sementara CRP sebagai variabel sekunder. Evaluasi model dilakukan dengan Leave-One-Out-Cross-Validation (LOOCV), dan akurasi model diukur menggunakan Mean Error (ME) dan Root Mean Squared Error (RMSE). Hasil penelitian menunjukkan prevalensi kekurangan zat besi bervariasi signifikan antar wilayah. Kabupaten Batang dan Minahasa Selatan teridentifikasi dalam kategori "tidak ada masalah kesehatan". Selain itu 274 kabupaten/kota di Indonesia berada pada kategori prevalensi ringan, seperti Kabupaten Berau, Gunung Mas, dan Bangkayang, sementara 132 kabupaten/kota tercatat dengan prevalensi sedang seperti Kabupaten Sidenreng Rappang, Tapanuli Tengah, dan Sukoharjo. Kabupaten Pare-pare terdeteksi pada prevalensi tinggi (≥40%), tingginya prevalensi di wilayah ini perlu dicermati lebih lanjut karena kemungkinan disebabkan oleh jumlah sampel yang sangat sedikit. Temuan ini menunjukkan bahwa sebagian besar kabupaten/kota di Indonesia tergolong dalam kategori prevalensi ringan hingga sedang. Gambaran ini dapat menjadi dasar penting dalam merancang kebijakan kesehatan terkait penanggulangan kekurangan zat besi di Indonesia.

PERAN ASUPAN SENG, NATRIUM, DAN KALIUM TERHADAP PROFIL LIPID DARAH Retiaty, Fifi; Palupi, Nurheni Sri; Ernawati, Fitrah; Andarwulan, Nuri
Penelitian Gizi dan Makanan (The Journal of Nutrition and Food Research) Vol. 47 No. 1 (2024): PGM VOL 47 NO 1 TAHUN 2024
Publisher : Persagi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36457/pgm.v47i1.780

Blood lipid parameters are influenced by nutrient intake, both macronutrients and micronutrients. This study aims to analyze the relationship between zinc (Zn), sodium (Na), and potassium (K) with lipid profiles (total cholesterol, triglycerides (TG), low-density lipoprotein (LDL), and high-density lipoprotein (HDL). The study design was cross-sectional using secondary data from the 2017 Non-Communicable Disease Risk Factor Cohort Study which took 3,507 samples from a population of 5,329 respondents with a purposive sampling technique. The data analyzed included sociodemographic characteristics data, lipid profile data, and 1x24-hour recall consumption data. Data processing used logistic regression analysis and correlation with a 95% confidence level. The study results showed that gender, age, education level, and marital status had a significant relationship with lipid profiles. The results of this study were micronutrients and lipid profiles showed a significant negative relationship between sodium, potassium, and zinc with cholesterol and a significant negative relationship between potassium and LDL. This study concludes that the greater risk of dyslipidemia is female gender, increasing age, low education level, and marital status with divorced category. Sodium, potassium, and zinc have a relationship with the occurrence of dyslipidemia. Further research is needed, and a more comprehensive study is required to analyze the relationship between micronutrients and dyslipidemia.

ANALISIS POLA KONSUMSI DAN INDEKS MASSA TUBUH PADA STUDI KOHOR DI BOGOR Retiaty, Fifi; Palupi, Nurheni Sri; Ernawati, Fitrah; Andarwulan, Nuri
Penelitian Gizi dan Makanan (The Journal of Nutrition and Food Research) Vol. 47 No. 2 (2024): PGM VOL 47 NO 2 TAHUN 2024
Publisher : Persagi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36457/pgm.v47i2.808

Body Mass Index (BMI) is a commonly used indicator to assess nutritional status, which can be influenced by nutrient intake from food consumption. This study aims to analyze the relationship between energy and macronutrient intake and BMI. A cross-sectional design was applied using data from the 2019 Non-Communicable Disease Risk Factor Cohort Study (FRPTM), involving 1,018 subjects selected purposively from a total of 1,218 respondents. The data analyzed included sociodemographic characteristics, BMI, and 1x24-hour dietary recall. Descriptive and bivariate analyses were conducted using the Kruskal-Wallis test, followed by the Mann-Whitney test for variables showing significant differences. The results indicated significant associations between BMI and gender, energy intake (low vs. high), fat intake (adequate vs. high), and carbohydrate intake (low vs. adequate and low vs. high). These differences may be influenced by variations in metabolism and intake levels. In conclusion, BMI is affected not only by energy and macronutrient intake but also by other contributing factors.

INDEKS MASSA TUBUH RENDAH PADA AWAL KEHAMILAN DAN DEFISIENSI VITAMIN A PADA TRIMESTER KEDUA SEBAGAI FAKTOR RISIKO GANGGUAN PERTUMBUHAN LINIER PADA BAYI LAHIR Pusparini, Pusparini; Ernawati, Fitrah; Hardinsyah, Hardinsyah; Briawan, Dodik
Jurnal Gizi dan Pangan Vol. 11 No. 3 (2016)
Publisher : The Food and Nutrition Society of Indonesia in collaboration with the Department of Community Nutrition, IPB University

The objective of this study was to analyze risk factors related to pregnancy nutritional status on the linear growth of newborn infants. The data used in this research was secondary data from longitudinal studies of nutritional status of pregnant women and their offspring in Bogor District. The variables used included body weight at early pregnancy, body height, weight gain, serum protein, serum albumin, hemoglobin, serum zinc, serum retinol, energy adequacy, protein adequacy and protein density at second and third trimester of pregnancy. A multiple logistic regression was applied to analyze the risk factors. The results showed that vitamin A deficiency (serum retinol <20 μg/dl) of the second trimester and body mass index <18.5 kg/m2 at early pregnancy, are the risk factors of the linear growth of newborn infants (OR = 11.12 and 8.84). This implies that normal nutritional status at early pregnancy is important in preventing stunting among newborn infants.Keywords: body mass index, linear growth, newborn infants, pregnant women, vitamin A deficiency

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.

Co-Authors Aditianti Aditianti Aji, Galih Kusuma Aldi, Muhammad Nur Amalia Safitri Ani Isnawati ASEP SAEFUDDIN Aya Yuriestia Arifin, Aya Yuriestia Basuki Budiman Budisetyawati ., Budisetyawati Dadang Sukandar Dewi Permaesih Dian Sundari Djoko Kartono Dodik Briawan Dyah Santi Puspitasari Edith Sumedi, Edith Efriwati Efriwati Efriwati, Eriwati Elisa Diana Julianti Ema Sahara Endi Ridwan Erna Luciasari Febrina Sulistiawati Fifi Retiaty Frans Dany, Frans Gustina Sofia Hadi Riyadi Hardinsyah Herawati, Ade Nugraheni Herni Asih Setyorini Heryudarini Harahap Hidayat Syarief I.Wayan T.Wibawan, I.Wayan Jus'at, Idrus Jus'at, Idrus Kuswari, Murry La Ode Abdul Rahman Moesijanti Soekatri, Moesijanti Muhammad Nur Aidi Muhilal ., Muhilal mutiah, siti Nelis Imanningsih nFN Minarto, nFN nFN Sandjaja, nFN nFN sudikno, nFN Nunung Nurjanah Nur Aidi, Muhammad Nurfadilah, Khalilah Nuri Andarwulan Palupi, Nurheni Sri Prihatini, Mutiara Pusparini Pusparini Rimbawan , Rustan Effendi Sari, Dewi Anggraini Puspita Sihadi . Siswanto . Sudikno Sudikno Sukati Saidin Sukmayati Alegantina Suryanty, Santy Widoretno, Widoretno Winarsih Winarsih Yekti Widodo Yuniar Rosmalina

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