Penerapan Regresi Biner untuk Analisis Status Gizi Balita di Kabupaten Tuban (Studi Kasus: Puskesmas Kebonsari)

Sabila, Erzaly Mara (2022) Penerapan Regresi Biner untuk Analisis Status Gizi Balita di Kabupaten Tuban (Studi Kasus: Puskesmas Kebonsari). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kebutuhan gizi dapat ditentukan oleh makanan yang dikonsumsi dan beberapa faktor lain yang mempengaruhi status gizi balita. Baik buruknya gizi menjadi dampak dari kualitas sumber daya manusia, dikarenakan status gizi buruk dapat menyebabkan menurunnya kecerdasan bahkan sampai menyebabkan kematian. Kekurangan gizi pada balita berdasarkan indeks berat badan menurut umur (BB/U) meliputi kategori berat badan sangat kurang dan berat badan kurang. Kabupaten Tuban merupakan salah satu daerah di Jawa Timur yang memiliki angka balita berstatus gizi buruk cukup tinggi dengan peringkat ke 12 dari 38 Kabupaten atau kota di Provinsi Jawa Timur dimana pada tahun 2018 sebesar 10,01 persen balita mengalami gizi buruk, untuk menangani gizi buruk maka perlu dilakukan penelitian terkait variabel apa saja yang berpengaruh terhadap status gizi balita di Puskesmas Kebonsari Kecamatan Tuban Kabupaten Tuban, dengan menggunakan analisis Regresi Logistik Biner diperoleh hasil 4 faktor yang mempengaruhi status gizi balita yaitu, 1) Balita yang mendapatkan MPASI dalam usia sebelum 6 bulan, 2) Tidak diberi ASI Eksklusif, 3) Mengalami frekuensi penyakit 1-2 kali dalam sebulan dan 4) Memiliki pola asupan makanan kurang. Ketapatan klasifikasi model sebesar 81,8%.
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Nutritional needs can be determined by the food consumed and several other factors that affect the nutritional status of children under five. Good and bad nutrition is the impact of the quality of human resources, because poor nutritional status can cause a decrease in intelligence and even cause death. Malnutrition in toddlers based on the body weight index for age (W/U) includes the categories of very low weight and underweight. Tuban Regency is one of the regions in East Java that has a high number of under-fives with severe malnutrition status, ranking 12th out of 38 regencies or cities in East Java Province where in 2018 10.01 percent of children under five were malnourished. It is necessary to do research related to what variables affect the nutritional status of toddlers at the Kebonsari Health Center, Tuban District, Tuban Regency, by using Binary Logistics Regression analysis, the results obtained are 4 factors that affect the nutritional status of toddlers, namely, 1) Toddlers who get complementary foods before 6 months of age, 2) Not given exclusive breastfeeding, 3) Experiencing the frequency of illness 1-2 times a month and 4) Having a pattern of poor food intake. The accuracy of the model classification is 81.8%.

Item Type:	Thesis (Other)
Additional Information:	RSSB 519.536 Sab p-1 2022
Uncontrolled Keywords:	Kekurangan Gizi, Regresi Logistik Biner, Status Gizi Balita, Binary Logistic Regression, Malnutrition, Toddler Nutritional Status
Subjects:	Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	- Davi Wah
Date Deposited:	29 May 2024 04:52
Last Modified:	29 May 2024 04:52
URI:	http://repository.its.ac.id/id/eprint/107966

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