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All Journal JBIO: jurnal biosains (the journal of biosciences) Journal of Biomedicine and Translational Research Indonesian Journal of Pharmaceutical Science and Technology Majalah Obat Tradisional BIOLINK (Jurnal Biologi Lingkungan, Industri, Kesehatan) Jurnal Profesi Medika: Jurnal Kedokteran dan Kesehatan Jambura Journal of Health Sciences and Research Jurnal Kesehatan Global Journal of Health Sciences JURNAL KEBIDANAN KESTRA (JKK) Jurnal Maternitas Kebidanan Jurnal Pendidikan dan Konseling Journal of Telenursing (JOTING) INFOKUM PRIMER (Prima Medical Journal) Jurnal Ekonomi JUMANTIK (Jurnal Ilmiah Penelitian Kesehatan) Cerdika: Jurnal Ilmiah Indonesia
Ermi Girsang
Universitas Prima Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Dentistry Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Jurnal Maternitas Kebidanan

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ANALISIS DETERMINAN DAN PREDIKSI PENYAKIT DIABETES MELITUS TIPE 2 MENGGUNAKAN METODE MACHINE LEARNING: SCOPING REVIEW Rapael Ginting Ginting; Ermi Girsang; Johannes Bastira Ginting; Hartono Hartono
Jurnal Maternitas Kebidanan Vol. 7 No. 1 (2022): Jurnal Maternitas Kebidanan
Publisher : Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jumkep.v7i1.2538

Abstract

ABSTRACT The prevalence of diabetes mellitus is increasing globally, nationally, and regionally, and most of them are type 2 diabetes mellitus, which can cause complications, economic losses, and death. The purpose of this study is to examine the analysis of determinants and predictions of type 2 diabetes mellitus using machine learning methods. This study uses the scoping review method to view, accumulate and synthesize the results of previous studies on the analysis of determinants and predictions of type 2 diabetes mellitus using machine learning methods. The inclusion criteria in this study were articles published in the indexed journal database PubMed, Google Scholar, Crossref in English and Indonesian, journals published in the 2017-2021 range and 15 articles that met the inclusion criteria. The search results were a total of 860 articles from 3 databases (PubMed, Google Scholar, Crossref) in which 98 of them were duplicate articles and were excluded. Of the remaining 762 articles, 142 were not full text and 605 were excluded after eligibility screening because they were irrelevant. The remaining 15 articles were systematically reviewed and qualitatively analyzed using the NVIVO-12 Plus application. From the analysis of previous studies concluded that age, obesity, family history of disease, and lack of physical activity are risk factors for type 2 diabetes mellitus, while the gender variable from the analysis of previous research shows that there is no significant relationship between gender and type 2 diabetes. With early prediction of type 2 diabetes mellitus preventive measures, treatment can be carried out immediately and reduce the incidence of complications that can worsen the condition of people with type 2 diabetes.    
FAKTOR YANG BERPENGARUH DENGAN KEJADIAN PENYAKIT GASTRITIS DI WILAYAH KERJA PUSKESMAS TANJUNG REJO Randa Aqila Lubis; Ermi Girsang; Eka Lolita Pakpahan
Jurnal Maternitas Kebidanan Vol. 8 No. 2 (2023): Jurnal Maternitas Kebidanan
Publisher : Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jumkep.v8i2.4290

Abstract

Gastritis is a common disease of the stomach lining caused by excessive consumption of foods that stimulate stomach acid, such as spicy foods, caffeinated foods, alcohol, acids and sodas. This study aims to determine the factors that influence the incidence of Gastritis in the Working Area of Tanjung Rejo Health Center. This study uses analytical survey method with case-control approach. Sampling techniques in this study using the Slovin formula. Data analysis used univariate analysis and bivariate analysis using chi square. The results showed that there was a significant influence between age and the prevalence of gastritis in the working area of the Tanjung Rejo Health Center with a P Value of 0.044, then there was a significant influence between the Sexes with the incidence of gastritis with a p Value of 0.008, then that there was a significant influence between the family history of gastritis patients with the prevalence of gastritis with a P Value of 0.048, there was a significant influence between diet with the emergence of gastritis with a P Value of 0.000, there is a significant influence between the type of food with the incidence of gastritis p-value of 0.000, and it can be stated that there is a significant influence between age with the prevalence of gastritis with a p Value of 0.012 in the working area of Tanjung Rejo Health Center. The conclusion of this study is that there is an influence between age, sex, family history of gastritis, diet, type of food and stress with the incidence of gastritis.
Co-Authors Ahmad Raif Aldi Tambunan Ali Nafiah Nasution Aparna dutt Axel Valerian Ayu Anggraini Bangun Batara Sanjaya Harahap Cendy Juliana Chandra Susanto Chrismis Novalinda Ginting Christine Yennyanti Cindy Stefanie Sinaga Dewi Dio Damara Handoyo Dwi Apriany Efratiwi Marpaung Eka Lolita Pakpahan Erna Dame Juliyanti Sihombing Ervineco Limestan Fadillah, Qori firdha amelia Fithri Ananda Friska SR Gempita cahya aulia tambunan Hartono Hartono I Nyoman Ehrich Lister Jerry Fidelio Susanto Johannes Bastira Ginting Khainir Akbar Landi Kurnia Daeli Liena Linda Chiuman Mangatas Silaen Masryna Siagian Muhammad Maulidin Muhammad Rinaldy Nadya Nazimuddin Putri Nasution, Ali Napiah Nasution, Sri Lestari Ramadhani Randa Aqila Lubis Rapael Ginting Robertus Idealistis Bago Santy Deasy Siregar Saud Parulian Harianja sayra nadhifa Sri Lestari Rahamdhani Nasution Sri Lestari Ramadhani Nasution Sri Rezeki Susi Susanti Tan Suyono Tiara Nabila Nabati Wahyu Widowati Widiya Nisa Yogie Chandra