Penerapan Metode Regresi Logistik Biner terhadap Pilihan untuk Childfree Pegawai Rumah Sakit Husada Utama Surabaya

Inasa, Ridha (2024) Penerapan Metode Regresi Logistik Biner terhadap Pilihan untuk Childfree Pegawai Rumah Sakit Husada Utama Surabaya. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Childfree merupakan suatu keputusan untuk tidak memiliki anak dalam suatu pernikahan secara sengaja. Sejak tahun 1500-an, telah banyak pasangan menikah di Inggris, Perancis, dan Belanda yang dengan sukarela memilih untuk tidak memiliki keturunan (childfree). Namun hingga saat ini, istilah childfree masih dipandang tabu oleh masyarakat Indonesia. Pro-kontra terkait childfree menjadi isu yang sempat ramai diperbincangkan masyarakat Indonesia. Pandangan bahwa anak adalah salah satu pelengkap dalam hubungan pernikahan tidak akan bisa dihindari. Akan tetapi, ada berbagai alasan logis yang mampu mendasari keputusan pasangan menikah untuk tidak memiliki anak (childfree). Beberapa diantaranya ialah adanya potensi overpopulation, tingginya Angka Kematian Bayi (AKB) dan Angka Kematian Ibu (AKI), serta alasan pribadi masing-masing pasangan. Berdasarkan kondisi tersebut, masyarakat perlu memahami alasan pasangan menikah memilih untuk tidak memiliki anak (childfree), sehingga dilakukan sebuah penelitian guna mengetahui faktor-faktor personal yang memengaruhi pilihan untuk childfree pegawai Rumah Sakit Husada Utama Surabaya menggunakan metode regresi logistik biner. Regresi logistik biner dipilih karena variabel respon dari penelitian ini, yaitu pilihan untuk childfree bersifat dikotomi, dimana data pilihan untuk childfree dan faktor-faktor yang diduga memengaruhinya adalah data primer yang diperoleh dari survei menggunakan kuesioner dengan metode sampling yang digunakan adalah Judgemental Sampling. Dari penelitian ini, diketahui bahwa variabel yang berpengaruh terhadap pilihan untuk childfree pegawai Rumah Sakit Husada Utama Surabaya adalah usia istri dan usia pernikahan, dimana semakin meningkat usia istri, maka semakin tinggi kemungkinan rumah tangga memilih untuk childfree. Sedangkan, semakin meningkat usia pernikahan, maka semakin rendah kemungkinan rumah tangga memilih untuk childfree.
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Childfree is a decision not to have children in a marriage intentionally. Since 1500s, many married couples in England, France and Netherlands have voluntarily chosen not to have children (childfree). However, until now, the term of childfree is still considered taboo by Indonesian society. The pros and cons related to childfree are an issue that has been widely discussed by Indonesian society. The view that children are a complement to a marriage relationship can't be avoid. However, there are various logical reasons that can underlie a married couple's decision not to have children (childfree). Some of them are the potential for overpopulation, the high Infant Mortality Rate (IMR) and Maternal Mortality Rate (MMR), as well as the personal reasons of each couple. Based on these conditions, society needs to understand the reasons why married couples choose not to have children (childfree), so this research will be carried out to find out the personal factors that influence people's choice to be childfree for employees at Husada Utama Hospital in Surabaya using the binary logistic regression method. Binary logistic regression was chosen because the response variable from this study, namely choice for childfree, is dichotomous, where the choice data for childfree and the factors thought to influence it are primary data obtained from a survey using a questionnaire with the sampling method used is Judgemental Sampling. From this research, it is known that the variables that influence the choice to be childfree for employees at Husada Utama Hospital Surabaya are the age of the wife and the age of marriage, where the higher the age of the wife, the higher the possibility of the household choosing to be childfree. Meanwhile, the higher the age of marriage, the lower the possibility of a household choosing to be childfree.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Childfree, Judgemental Sampling, Personal, Binary Logistic Regression, Childfree, Judgemental Sampling, Personal, Regresi Logistik Biner
Subjects:	H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics H Social Sciences > HA Statistics > HA31.3 Regression. Correlation H Social Sciences > HA Statistics > HA31.7 Estimation
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Ridha Inasa
Date Deposited:	09 Aug 2024 07:22
Last Modified:	14 Aug 2024 08:55
URI:	http://repository.its.ac.id/id/eprint/115236

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