Analisis Determinan Berat Badan Lahir Rendah (BBLR) Di Provinsi Nusa Tenggara Timur Tahun 2017

Authors

  • Elina Mayasari Politeknik Statistika STIS
  • Geraldi Putra Prasetya Balebu Politeknik Statistika STIS
  • Latifah Hasanah Politeknik Statistika STIS
  • Rizka Wulandari Politeknik Statistika STIS
  • Rani Nooraeni Politeknik Statistika STIS

DOI:

https://doi.org/10.21512/becossjournal.v2i2.6413

Keywords:

Low Birthweight, logistic regression, education level

Abstract

Health is one of the essential needs for human beings, and even became a major issue that indicates achievement of a country or a region. Health can also be viewed from the condition of the infants, which can be measure from Infant Mortality Rate (IMR). This indicator shows a high rate especially because of low birthweight. The cases of low birthweight is one of the highest case that occurred in developing countries, including Indonesia. Nusa Tenggara Timur (NTT) province in Indonesia, is one of the most common places where this case is most likely to happened. The percentage of the low birthweight case is higher than the average case in Indonesia. Therefore, this research paper aim to investigate variables which are responsible for causing low birthweight case in such a high number in NTT on 2017. The method used for analysis is logistic regression. The result indicate that mother’s education level is significantly affecting low birthweight cases in NTT.

Dimensions

Plum Analytics

Author Biographies

Elina Mayasari, Politeknik Statistika STIS

Student of D4 Statistics Study Program

Geraldi Putra Prasetya Balebu, Politeknik Statistika STIS

Student of D4 Statistics Study Program

Latifah Hasanah, Politeknik Statistika STIS

Student of D4 Statistics Study Program

Rizka Wulandari, Politeknik Statistika STIS

Student of D4 Statistics Study Program

Rani Nooraeni, Politeknik Statistika STIS

Lecturer of D4 Statistics Study Program

References

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Published

2020-05-31

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