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All Journal Media Kesehatan Masyarakat Indonesia Jurnal Kesehatan Masyarakat Jurnal Berkala Epidemiologi Jurnal NERS JURNAL KESEHATAN LINGKUNGAN (Journal of Environmental Health) Jurnal Biometrika dan Kependudukan (Journal of Biometrics and Population) Majalah Obstetri dan Ginekologi Health Notions Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Journal Orthopaedi and Traumatology Surabaya (JOINTS) Jurnal Layanan Masyarakat (Journal of Public Service) Indonesian Journal of Global Health research Media Gizi Kesmas Jurnal Kesehatan Tambusai Narra J Berita Kedokteran Masyarakat Strada Jurnal Ilmiah Kesehatan (SJIK)
Soenarnatalina Melaniani
Department Of Biostatistics And Population, Faculty Of Public Health, Universitas Airlangga
Humanities Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Dentistry Education Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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HUBUNGAN BODY IMAGE DAN AKTIVITAS FISIK DENGAN STATUS GIZI REMAJA DI KOTA SURABAYA : LITERATURE REVIEW Hanifah, Laili; Melaniani, Soenarnatalina
Jurnal Kesehatan Tambusai Vol. 5 No. 3 (2024): SEPTEMBER 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jkt.v5i3.27520

Abstract

Masa remaja merupakan periode kritis dalam perkembangan body image, aktivitas fisik, dan status gizi. Status gizi remaja merupakan cerminan dari keseimbangan antara asupan energi dan pengeluaran energi. Status gizi yang tidak optimal, seperti obesitas atau underweight, dapat meningkatkan risiko berbagai penyakit kronis, termasuk penyakit jantung, diabetes, dan beberapa jenis kanker. Penelitian ini bertujuan untuk mengkaji hubungan antara ketiga variabel tersebut pada remaja di Kota Surabaya melalui tinjauan pustaka. Penelitian ini menggunakan metode studi literatur review. Data yang digunakan bersifat sekunder dan pengumpulan data dilakukan dengan melakukan pencarian pada semua sumber publikasi ilmiah sesuai dengan kata kunci yang telah ditentukan.dan disaring berdasarkan kriteria inklusi yang telah ditetapkan oleh penulis. Hasil tinjauan menunjukkan adanya hubungan yang signifikan antara body image negatif, kurangnya aktivitas fisik, dan status gizi yang tidak optimal pada remaja. Terdapat hubungan yang signifikan antara body image dan aktivitas fisik dengan status gizi remaja di Kota Surabaya. Diperlukan kerjasama multisektor untuk memperbaiki masalah status gizi remaja.
Aplikasi Generalized Poisson Regression untuk Memodelkan Faktor yang Mempengaruhi Jumlah Kasus Baru Difteri di Provinsi Jawa Timur Tahun 2018 Muhammad Jefri Badriawan; Soenarnatalina Melaniani
Media Gizi Kesmas Vol 12 No 2 (2023): MEDIA GIZI KESMAS (DECEMBER 2023)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/mgk.v12i2.2023.860-869

Abstract

Background: Diphtheria cases spread in almost all regions in Indonesia. In 2018 the highest number of diphtheria cases in East Java was 695 cases with a Case Fatality Rate (CFR) of 1.44%. Diphtheria is an acute infectious disease caused by Corynebacterium diphteriae bacteria. Environmental and behavior factors can be a cause of the spread of diphtheria. Objectives: The purpose of the study was to apply the Generalized Poisson regression to identify the factors that influence of diphtheria cases in 2018. Methods: The study used secondary data that had been published by the Provincial Health Office through data from the health profile of East Java Province in 2018. The population was a population in East Java Province in 2018 whose region consisted of 38 districts/cities. The sample in the study was diphtheria sufferers in East Java Province in 2018. The variable used in the study was the number of diphtheria cases as a dependent variable. The independent variable is the density of the population, the percentage of healthy homes, the percentage of households in a clean and healthy life behavior (CHLB), and the percentage of complete basic immunization. The data analysis used in the study is Generalized Poisson Regression Result: The results of the study get the best model of diphtheria case = Exp [2,995+ 0.01381 (CHLB household)]. Conclusion: The conclusion of the study is a significant variable affecting the diphtheria case in East Java Province in 2018 is a CHLB household.
Stress and Quality of Life in Hypertension Sufferes: A Systematic Review Surma Elisa Manihuruk; Soenarnatalina Melaniani; Diah Indriani; Andi Safutra Suraya
Indonesian Journal of Global Health Research Vol 7 No 1 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i1.3996

Abstract

Hypertension has the potential to cause serious complications such as heart disease, stroke, and kidney failure if not treated properly. Apart from physical factors, hypertension sufferers also often face psychological problems such as stress, which can worsen their condition and affect their quality of life. This study aimed to explore the relationship between stress and quality of life in hypertension sufferers. This systematic review searched for relevant articles using MeSH-based keywords in databases such as Scopus, PubMed, Sage Journal, and Web of Science. The article inclusion criteria were: population: patients with hypertension, intervention: no intervention, comparison: no comparison, results: the article's results showed a relationship between stress and quality of life in people with hypertension. Article quality assessment was carried out using the Joanna Briggs Institute guidelines. Descriptive analysis was carried out using a narrative approach by considering articles published from 2012 to 2024. Based on a literature search, 36229 articles were found with appropriate keywords from Scopus (2578), PubMed (683), Sage Journal (31999), and Web of Science (969). After screening for inclusion and exclusion criteria, 11 articles were identified for inclusion in this review. These eleven articles show that there is a relationship between stress and quality of life in people with hypertension. The importance of a comprehensive approach that considers socioeconomic, demographic, and psychological factors to improve the quality of life of hypertension sufferers.
MACHINE LEARNING-BASED PREDICTION OF BREAST CANCER RECURRENCE Nabila Shafiya; Soenarnatalina Melaniani; Ronny Isnuwardana; Sagar Tiwari; Sigit Ari Saputro
Jurnal Biometrika dan Kependudukan Vol. 15 No. 1 (2026): JURNAL BIOMETRIKA DAN KEPENDUDUKAN
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jbk.v15i1.2026.86-96

Abstract

Breast cancer recurrence remains a major cause of mortality among women worldwide. Early identification is essential for improving patient outcomes, and prediction modelling has emerged as an approach to support this objective. This study aimed to develop and compare machine learning models for predicting breast cancer recurrence. A retrospective secondary analysis was conducted on data from 286 patients in the University of California, Irvine (UCI) Machine Learning Repository. Nine predictors were used to develop logistic regression (LR), artificial neural network (ANN), and extreme gradient boosting (XGBoost) models. The dataset was split into training and testing sets using a 70:30 ratio. Model performance was evaluated using the area under the receiver operating characteristic curve (ROC-AUC), Brier score, and calibration analysis, with 95% confidence intervals estimated through bootstrap resampling. LR demonstrated the best discriminatory performance, achieving a test AUC of 0.790. In contrast, XGBoost and ANN showed lower generalization performance, with test AUCs of 0.727 and 0.748, respectively. LR also achieved the highest testing recall (0.731) and F1-score (0.623), indicating superior sensitivity for identifying recurrent cases. Meanwhile, XGBoost demonstrated the highest precision (0.727), accuracy (0.756), and calibration performance. The relatively small sample size and reliance on structured clinical predictors may have contributed to the superior performance of LR in this study. In conclusion, LR demonstrated the most reliable predictive performance for this dataset.  Future research should use larger, diverse datasets and incorporate a broader range of predictors, including imaging and genomic data, to optimize the benefits of more complex machine learning models.
Co-Authors A.A. Ketut Agung Cahyawan W Ahsan Ahsan Ahsan Ahsan Alfadhila Khairil Sinatrya Andi Safutra Suraya Annas Buanasita Ardianah, Eva Arief Wibowo Arina Dery Puspitasari Boerhan Hidayat, Boerhan Celine Masyita Desiana Chatarina Umbul Wahyuni Diah Indriani Dwi Oktavia Sri Asmoro Farisa Al Amin Avin Fatimatuz Zahra Oviary Satryo Fauzul Meiliani Fitrianingsih, Asti Dewi Rahayu Handajani, Noor I. Hanifah, Laili Hanindita, Meta Herdiana Hardian Bimanto Hari Basuki Notobroto Hari Basuki Notobroto Imam Subadi Indah Handriani Indah Handriani, Indah KUNTORO Kuntoro Kuntoro Kuntoro Kuntoro Kusnanto Kusnanto Lilis Sulistyorini Lily Aina Lydia Arfianti Mahmudah Mahmudah Mahmudah Mahmudah Maulidiyatun Nafiisah Maya Fernandya Siahaan Melinda Putri Amelia Rachman Muhammad Jefri Badriawan Muhammad Nur Nabila Amalina Nabila Shafiya Nanda Ardianto Nunik Puspitasari Nur Aisiyah Widjaja, Nur Aisiyah Nurfidaus, Yasmine Nursalam, Nursalam Pebriaini, Prisma Andita Poerwandari, Dewi Rachmah Indawati Rahmatika, Auni Renaldi Kurniawan Ria Puspitasari Rika Subarniati Ririh Yudhastuti Roedi Irawan Rondhianto Rondhianto Ronny Isnuwardana Rosly Zunaedi Rosyid, Alfian Nur Sagar Tiwari Salim, Lutfi A. Santoso, Febrina Mustika Sari, Nur MW. Semedi, Bambang Pujo Sigit Ari Saputro Sigit Ari Saputro SITI NURUL HIDAYATI Siti Rohmatun Ni'mah Soares, Ivo Da Costa Sokvy, Ma Sri Sumarmi Sudibyo, Devi A. Sulvy Dwi Anggraini Surma Elisa Manihuruk Syahfitri Wulandari Syarifuddin Syarifuddin Tamara Nur Budiarti Teguh Prawono Sabat, Teguh Prawono Trias Mahmudiono Ulfa Al Uluf Utama Hutapea, Johannes Diandra Indra Wahyul Anis Windhu Purnomo Wisoedhanie Widi Anugrahanti Yuly Sulistyorini