Writer / NIM
DEDY NURMANSYAH / 531413134
Study Program
S1 - SISTEM INFORMASI
Advisor 1 / NIDN
MUKHLISULFATIH LATIEF, S.Kom., MT / 0010127701
Advisor 2 / NIDN
MANDA ROHANDI, S.Kom, M.Kom / 0014058301
Abstract
ABSTRACT
NURMANSYAH, DEDY. Prediction of Infant Mortality Rate (AKB) Using Multiple Linear Regression Analysis in Public Health Office of Gorontalo City. Principal Supervisor: Mukhlisulfatih Latief, S.Kom., MT. Co-supervisor: Manda Rohandi, M.Kom.
A data from the Public Health Office of Gorontalo City from 2013 to 2017 shows that there were 214 cases of infant mortality with 26 cases occurring in 2013, 50 cases occurred in 2014, 51 cases occurred in 2015, 45 cases occurred in 2016 and 42 cases happened in 2017. These data show that in 2015 there was an increase in infant mortality by 51 cases. With the rise and fall of AKB in Gorontalo City, the prediction of AKB is important to be carried out by the Public Health Office of Gorontalo City so that the number of AKB in the following years can be known. The purpose of this research is to predict AKB in Gorontalo city by using Multiple Linear Regression Analysis, with AKB as dependent variable (Y) and BBLR, high-risk pregnant women, birth assisted by witch doctor, and the total number of Posyandu (integrated local health post) as influencing variable (X). The prediction results of IMR in Gorontalo City in 2018 were 39 cases with details of 5 cases for Kota Timur District, 4 cases for Kota Selatan District, 5 cases for Kota Utara District, 5 cases for Kota Tengah District, 6 cases for Kota Barat District, 3 cases for Dungingi District, 4 cases for Sipatana District, 4 cases for Dumbo Raya District and 3 cases for Hulondalangi District.
Keywords: Multiple Linear Regression Analysis, Infant Mortality Rate (AKB), Gorontalo City
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