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All Journal Nusantara of Research : Jurnal Hasil-hasil penelitian Universitas Nusantara PGRI Kediri (e-journal) Jurnal Gizi dan Kesehatan Jurnal Wiyata : Penelitian Sains dan Kesehatan Jurnal Ilmu Kesehatan NUSANTARA : Jurnal Ilmu Pengetahuan Sosial JURNAL KOMUNIKATIO Journals of Ners Community Abditani : Jurnal Pengabdian Masyarakat Jurnal Perawat Indonesia Jurnal Karinov Judika (Jurnal Nusantara Medika) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Ilmiah Medicamento Jurnal Abdimas Kartika Wijayakusuma Journal of Applied Nursing and Health International Journal of Humanities Education and Social Sciences Jurnal Locus Penelitian dan Pengabdian Jurnal Pengabdian Masyarakat Tjut Nyak Dhien Jurnal Keperawatan Profesional (KEPO) Usadha Jurnal Ners dan Kebidanan (Journal of Ners and Midwifery) Journal of Global Research in Public Health
puguh santoso, puguh
Akper Dharma Husada Kediri
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LOGISTIC REGRESSION MODELLING WITH VARIABLE SELECTION AND BEST MODEL EVALUATION IN THE ANALYSIS OF VARIABLES INFLUENCING TODDLER NUTRITIONAL STATUS Pujianto, Tutut; Santoso, Puguh; Anggraeni, Enggar
Jurnal Wiyata Penelitian Sains dan Kesehatan Vol 12 No 2 (2025)
Publisher : LP2M IIK (Lembaga Penelitian dan Pengabdian Masyarakat Institut Ilmu Kesehatan) Bhakti Wiy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56710/wiyata.v12i2.1076

Abstract

Background: Nutritional status is one of the measures used to evaluate the adequacy of nutrition in toddlers. Many factors can affect the nutritional status of toddlers, including breastfeeding, infectious diseases, and the clean water facilities used. Considering the importance of the toddler period, high-quality analysis is needed to produce accurate outputs. One analysis that can be used to predict the role of causal factors on the resulting outcomes is ordinal logistic regression analysis, which can be obtained from logit and probit models. Objective: To determine whether a logit or probit model will be used in the analysis, simulation in its application needs to be carried out.. Method: This research uses baseline data from Pelem Village, Pare District, Kediri Regency in 2023. The selection of the best model is based on the model fitting parameter values, goodness of fit, and pseudo R square. Result : From the simulation results, it was found that the logit model produces a better model than the probit model. Furthermore, with ordinal regression analysis using the logit model, no relationship model was formed because all independent variables had p-values greater than 0.05. Conclusions: The absence of a model indicates that there is no effect of breastfeeding, infectious diseases, and clean water facilities on the nutritional status of toddlers.
The Analysis of Factors that Influence Stunting Santoso, Puguh; Pujianto, Tutut
Journal of Ners and Midwifery Vol 11 No 2 (2024)
Publisher : STIKes Patria Husada Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26699/jnk.v11i2.ART.p200-208

Abstract

Stunting in children is a national problem caused by many factors that harm human resources in the future, including an impact on decreasing intelligence, vulnerability to disease, hampering economic growth, work productivity, exacerbating inequality, and height growth is shorter than age in general. Stunting in children under five is a consequence of several factors that are often associated with poverty, including nutrition, health, sanitation, and the environment There are five main factors that cause stunting, namely poverty, social and cultural, increased exposure to infectious diseases, food insecurity and community access to health service. The purpose of this literature review was to analyze the factors that influence stunting. The article was obtained from a SINTA accredited journal published in the 2013-2023 period with the same title, as well as the same research design. The selected articles were then tested for plagiarism, and nine articles with the smallest plagiarism level were selected. Analysis PICO (Population, Intervention, Comparison, Outcome) is carried out on each article, followed by making conclusions. The results of the analysis determined that factors that influence stunting include social and cultural, increased exposure to infectious diseases, food insecurity and community access to health services alone or together. The author hopes that this research will further greatly help how to do health promotion, case finding and prevention, and, many sectors must be involved and work together for the problem of stunting.
Co-Authors Adrianta, Agus Agung Ari Chandra Wibawa Agustin, Ni Kadek Jessica Agustini, Ni Putu Dewi Andriese, Ni Putu Sri Ayu Sevilla Andriese Ari Candra, Agung Arieza, Ziva Baihaqi, Abyan Brian Wasita Cintya Purnama Sari, Ni Wayan Darmayanti, Gusti Ayu Putu Eka Darmayanti, Rofik Debby Juliadi Dewa Ayu Ika Pramitha Dwi Rahayu Elfi Quyumi Rahmawati Enggar Anggraeni, Enggar Erna Cahyaningsih Esmani, Neri Fajar Rinawati Fredinan Yulianda Gunawan, I Putu Windra Hengky Irawan, Hengky Heny Kristanto I Putu Tangkas Suwantara Ketut Agus Adrianta Krisnawati, Dyah Ika Kristanto , Heny Laksmi, Luh Putri Dianti Linda Paramita, Ni Kadek Madjid, Adnan Maharani, Ade Dwi Karisma Malik, Ichsan Maria Dewi, Ni Putu Megawati, Fitria Moh. Sholahuddin Muchamad Syamsulhadi, Muchamad Muhammad Agus Muljanto Nggaba, Ellenoire Rambu Kabeba Hammu Ni Luh Kade Arman Anita Dewi Ni Made Dwi Mara Widyani Nayaka Ni Nyoman Wahyu Udayani Nurita, Nurita Pariyatman, M. Harland Pridanatama, Annas Priesdiantoro, Rasid Pujo Widodo, Pujo Puspitasari, Betristasia Putra Hilmi Prayitno Putra, I Made Agus Sunadi Putri, Leoni Putri, Ni Putu Devi Nirmala Putri, Noviana Putu Era Sandhi Kusuma Yuda Sari, Ni Wayan Budi setyowati, novita Sri Budiasih, Putu Eka Sucipto Sugiantari, Ni Putu Siska Sukendro, Achmed Surya Rahadi, I Wayan Vernandes Sasadara, Maria Malida Wardani, I Gusti Agung Ayu Kusuma Yunarsih Yuni A, Dinar Yunita, Astri Yuwono, Moch.