Penentuan Faktor-Faktor yang Mempengaruhi Tingkat Fertilitas Di Indonesia Tahun 2017 Dengan Metode Multiple Classification Analysis (Analisis Data SDKI 2017)

Authors

  • Vivy Maharani Politeknik Statistika STIS
  • Annisa Putri Ramadhanty Politeknik Statistika STIS
  • Galang Madya Putra Politeknik Statistika STIS
  • Iqbal Mukti Pratama Politeknik Statistika STIS
  • Risni Julaeni Yuhan Politeknik Statistika STIS

Keywords:

Multiple Classification Analysis (MCA), Fertility, Balance of Population Growth

Abstract

Fertility is the ability to produce offspring associated with female fertility. The desired condition is for the population to grow in balance as a prerequisite for achieving a population without growth, where fertility, mortality rates are declining, and distribution is more evenly distributed. To achieve a Balanced Growing Population Condition (PTS), a total fertility rate (TFR) of 2.1 per woman is expected in 2015. However, based on the results of the 2017 IDHS fertility rate in Indonesia is 2.4. This has not met the desired conditions to achieve the Balanced Growing Population (PTS) condition. For this problem, it is necessary to do further research to find out the factors that affect the level of fertility or the number of children born to women. In this study, researchers used the Multiple Classification Analysis (MCA) method to determine the factors that influence the number of births. The results and discussion show that a mother who knows her ovulation cycle and / or lives in a city has an average number of children who are smaller than a mother who does not know her ovulation cycle and / or resides in the village. This happens because a mother who knows her ovulation cycle is more able to control the incidence of pregnancy compared to a mother who does not know her ovulation cycle.

Author Biographies

Vivy Maharani, Politeknik Statistika STIS

Program Studi Diploma IV, Jurusan Statistika Sosial dan Kependudukan

Annisa Putri Ramadhanty, Politeknik Statistika STIS

Program Studi Diploma IV, Jurusan Statistika Sosial dan Kependudukan

Galang Madya Putra, Politeknik Statistika STIS

Program Studi Diploma IV, Jurusan Statistika Sosial dan Kependudukan

Iqbal Mukti Pratama, Politeknik Statistika STIS

Program Studi Diploma IV, Jurusan Statistika Sosial dan Kependudukan

Risni Julaeni Yuhan, Politeknik Statistika STIS

Program Studi Diploma IV, Jurusan Statistika Sosial dan Kependudukan

References

Atalya. Yusrina. (2020). Menentukan Masa Subur dengan Metode Kesadaran Fertilitas. Ibupedia.com.

Badan Pusat Statistik. (2020). Anak Lahir Hidup (ALH). Jakarta : Sirusa Badan Pusat Statistik Republik Indonesia.

Bhowmik and Das. (2017). On Exploring and Ranking Risk Factors of Child Malnutrition In Bangladesh Using Multiple Classification Analysis. Bangladesh : Shahjalal University of Science & Technology.

Firdaus, Alvin. Shantika Martha, Nurfitri Imro’ah. (2019). Penentuan Garis Kemiskinan Provinsi Menggunakan Metode Multiple Classification Analysis. Pontianak : Universitas Tanjungpura.

Guevaraa, Cristian Angelo. Alan Thomas. (2007). Multiple Classification Analysis In Trip Production Models. Santiago, Chile : Universidad de Los Andes, San Carlos de Apoquindo.

Halodoc. (2020). Inilah Pentingnya Mengetahui Ovulasi dan Masa Subur. Jakarta : Redaksi Halodoc.

Hermanto, Rudi. T. Zulham, Chenny Seftarita. (2016). Analisis Determinan Pendapatan Pekerja Miskin di Provinsi Aceh Tahun 2015. Banda Aceh : Syiah Kuala University.

Jatmiko. (2019). Determinan Fertilitas Di Indonesia Hasil SDKI 2017. Cirebon : Universitas Swadaya Gunung Jati.

Lolle, Henrik Lauridsen. (2020). Multiple Classification Analysis (MCA). An, Unfortunately, Nearly Forgotten Method For Doing Linear Regression With Catagorical Variables. Denmark : Aalborg University Copenhagen Business School and Statistics.

Sugiarto. (2018). Multiple Classification Analysis (MCA) sebagai Metode Alternatif Analisis Data Untuk Variabel Bebas yang Kategori. Semarang : Universitas Muhammadiyah Semarang (Unimus).

Susel, Aleksander. (2011). Multiple Classification Analysis. Theory and Application To Demography. Polandia : Acta Universitatis Lodziensis, Folia Oeconomica.

Downloads

Published

2020-09-29

Issue

Section

Articles