Analisis Faktor-Faktor yang Memengaruhi Stunting di Provinsi Nusa Tenggara Timur Tahun 2019-2023

Penulis

  • Tristy Welas Ulas Jati Badan Pusat Statistik Provinsi Nusa Tenggara Timur
  • Muhamad Sukin Badan Pusat Statistik Kabupaten Lembata
  • Ashtian Ultanti Universitas Gadjah Mada

DOI:

https://doi.org/10.5300/jstar.v4i2.71

Kata Kunci:

stunting prevalence, expenses for households, sanitation, linear regression, NTT.

Abstrak

Stunting is a nutritional problem that often occurs in toddlers which is characterized by height growth that is shorter than the age standard. Based on Survei Kesehatan Gizi Indonesia 2023, NTT's stunting prevalence is at 37.9 percent, which is the second highest province in Indonesia. The aim of this research is to see what indirect factors influence the incidence of stunting in NTT province. These factors are exclusive breastfeeding, Low Birth Weight (BBLR), average length of schooling (RLS), households with access to adequate sanitation, households with access to adequate drinking water, and expenses for households with toddlers. The research results of multiple linear regression analysis at a significance level of 5% with a value of 0.002 for the variable access to adequate sanitation and 0.05 for the variable expenditure for households with toddlers.  The conclusion is that there is a relationship between adequate sanitation and household expenditure on the prevalence of stunting in NTT province.

Referensi

Andriani, S. (2017). Uji Park Dan Uji Breusch Pagan Godfrey Dalam Pendeteksian Heteroskedastisitas Pada Analisis Regresi. Al-Jabar : Jurnal Pendidikan Matematika, 8(1), 63–72. https://ejournal.radenintan.ac.id/index.php/al-jabar/article/view/1014

Baum, C. F., & Wiggins, V. L. (1999). BPAGAN: Stata module to perform Breusch-Pagan test for heteroskedasticity. Statistical Software Components.

BPS. (2024). Tingkat Kemiskinan Kabupaten Timor Tengah Selatan. https://timortengahselatankab.bps.go.id/id/statistics-table/2/Mjc5IzI=/persentase-penduduk-miskin--indeks-kedalaman-kemiskinan--dan-indeks-keparahan-kemiskinan-di-kabupaten-timor-tengah-selatan.html

Budiwati, T., Budiyono, A., Setyawati, W., & Indrawati, A. (2010). ANALISIS KORELASI PEARSON UNTUK UNSUR-UNSUR KIMIA AIR HUJAN DI BANDUNG. Jurnal Sains Dirgantara, 7(2). https://jurnal.lapan.go.id/index.php/jurnal_sains/article/view/1118

Fuada, N., Salimar, & Setyawati, B. (2022). Monografi Status Gizi Balita Kronis dan Akut. CV. Feniks Muda Sejahtera.

Ghozali, I. (2013). Aplikasi Data Multivariate dengan Program IBM SPSS21 (5th ed., p. 97). Badan Penerbit Universitas Diponegoro.

Helmyati, S., Atmaka, D. R., Wisnusanti, S. U., & Wigati, M. (2020). STUNTING: Permasalahan dan Tantangannya (Sita (ed.)). Gadjah Mada university Press.

Kementerian Kesehatan RI. (2018). Laporan Nasional Riskesdas 2018. https://dinkes.babelprov.go.id/sites/default/files/dokumen/bank_data/20181228 - Laporan Riskesdas 2018 Nasional-1.pdf

Kementerian Kesehatan RI. (2023). Publikasi Survei Kesehatan Indonesia 2023 Dalam Angka.

Kementerian Kesehatan RI. (2019). Laporan Pelaksanaan Integrasi SUSENAS Maret 2019 dan SSGI Tahun 2019.

Kementerian Kesehatan RI. (2020). Profil Kesehatan Indonesia Tahun 2020.

Kementerian Kesehatan RI. (2021). Hasil Studi Status Gizi Indonesia (SSGI) Tingkat Nasional, Provinsi, dan Kabupaten/Kota Tahun 2021.

Kementerian Kesehatan RI. (2022). Hasil Studi Status Gizi Indonesia (SSGI) 2022.

Kim, J. H. (2019). Multicollinearity and misleading statistical results. Korean Journal of Anesthesiology, 72(6), 558–569. https://doi.org/10.4097/KJA.19087

Lelang, M. A. (2017). Uji Korelasi dan Analisis Lintas terhadap Karakter Komponen Pertumbuhan dan Karakter Hasil Tanaman Tomat (Lycopersicum esculentum Mill). Savana Cendana, 2(02), 33–35. https://doi.org/10.32938/sc.v2i02.90

Nursofiati, S., Amaliah, L., & Nuradhiani, A. (2023). Hubungan Pemberian ASI Eksklusif dan Sanitasi Lingkungan dengan Kejadian Stunting pada Balita Usia 24-59 Bulan. Jurnal Gizi Kerja Dan Produktivitas, 4(2), 151–159. https://doi.org/10.52742/JGKP.V4I2.197

Olo, A., Mediani, H. S., & Rakhmawati, W. (2020). Hubungan Faktor Air dan Sanitasi dengan Kejadian Stunting pada Balita di Indonesia. Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini, 5(2), 1113–1126. https://doi.org/10.31004/OBSESI.V5I2.788

Rah, J. H., Akhter, N., Semba, R. D., Pee, S. D., Bloem, M. W., Campbell, A. A., Moench-Pfanner, R., Sun, K., Badham, J., & Kraemer, K. (2010). Low dietary diversity is a predictor of child stunting in rural Bangladesh. European Journal of Clinical Nutrition, 64(12), 1393–1398. https://doi.org/10.1038/EJCN.2010.171

Rahmawati, A., Nurmawati, T., & Permata Sari, L. (2019). Faktor yang Berhubungan dengan Pengetahuan Orang Tua tentang Stunting pada Balita. Jurnal Ners Dan Kebidanan (Journal of Ners and Midwifery), 6(3), 389–395. https://doi.org/10.26699/JNK.V6I3.ART.P389-395

Suprapto, J. (2000). Statistik-Teori dan Aplikasi (T. Sihombing & A. Said (eds.); 6th ed.). Penerbit Erlangga.

Yoo, W., Mayberry, R., Bae, S., Singh, K., Peter He, Q., & Lillard, J. W. (2014). A Study of Effects of MultiCollinearity in the Multivariable Analysis. International Journal of Applied Science and Technology, 4(5), 9–19. http://www.ncbi.nlm.nih.gov/pubmed/25664257%0Ahttp://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC4318006

Unduhan

Diterbitkan

30-12-2024

Cara Mengutip

Jati, T. W. U., Sukin, M., & Ultanti, A. (2024). Analisis Faktor-Faktor yang Memengaruhi Stunting di Provinsi Nusa Tenggara Timur Tahun 2019-2023. Jurnal Statistika Terapan (ISSN 2807-6214), 4(2), 83–93. https://doi.org/10.5300/jstar.v4i2.71

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