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METODE REGRESI LOGISTIK LASSO UNTUK ANALISIS GIZI BURUK PADA BALITA DI SUMATERA TENGAH

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dc.contributor.author Hidayah, Innaka
dc.date.accessioned 2021-12-27T04:55:21Z
dc.date.available 2021-12-27T04:55:21Z
dc.date.issued 2021-06
dc.identifier.other wahyu sari yeni
dc.identifier.uri https://repository.unri.ac.id/handle/123456789/10353
dc.description.abstract The nutritional status of toddlers can be classified into two variables, namely normal nutrition and malnutrition. The emergence of nutritional problems in toddlers can be influenced by several things such as unbalanced nutrition, infectious diseases and malnutrition. In this article, a selection is made of the factors that have an influence on cases of toddlers malnutrition in 49 districts and cities in Middle Sumatera. The study is conducted using the logistic regression method of LASSO. The dependent variable is a variable with 2 categories of cases in each region, namely above and below the average. This study results in three variables that influence cases of toddlers malnutrition in Middle Sumatera, namely the number of poor people, provincial minimum wage and the total population en_US
dc.description.provenance Submitted by wahyu sari yeni (ayoe32@ymail.com) on 2021-12-27T04:55:21Z No. of bitstreams: 1 Innaka Hidayah_compressed.pdf: 197831 bytes, checksum: 7fb008f97a7fc9cc795134a84935e27e (MD5) en
dc.description.provenance Made available in DSpace on 2021-12-27T04:55:21Z (GMT). No. of bitstreams: 1 Innaka Hidayah_compressed.pdf: 197831 bytes, checksum: 7fb008f97a7fc9cc795134a84935e27e (MD5) Previous issue date: 2021-06 en
dc.description.sponsorship Jurusan Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riau Kampus Bina Widya, Pekanbaru 28293 en_US
dc.language.iso en en_US
dc.publisher perpustakaan UR en_US
dc.subject Malnutrition of toddlers en_US
dc.subject logistic regression en_US
dc.subject LASSO en_US
dc.title METODE REGRESI LOGISTIK LASSO UNTUK ANALISIS GIZI BURUK PADA BALITA DI SUMATERA TENGAH en_US
dc.type Article en_US
dc.contributor.supervisor Adnan, Arisman


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