SURVIVAL ANALYSIS OF THE FIRST JOB WAITING TIME FOR GRADUATES USING THE COX PROPORTIONAL HAZARD MODEL BASED ON THE MAXIMUM LIKELIHOOD ESTIMATION PRINCIPLE

SURVIVAL ANALYSIS OF THE FIRST JOB WAITING TIME FOR GRADUATES USING THE COX PROPORTIONAL HAZARD MODEL BASED ON THE MAXIMUM LIKELIHOOD ESTIMATION PRINCIPLE

Authors

  • Dhea Urfina Zulkifli Universitas Islam Negeri Syarif Hidayatullah Jakarta
  • Riaman Universitas Padjadjaran
  • Kankan Parmikanti Universitas Padjadjaran
  • Bambang Ruswandi Universitas Islam Negeri Syarif Hidayatullah Jakarta

DOI:

https://doi.org/10.33019/fraction.v2i2.41

Keywords:

Analisis Kesintasan, Cox Proportional Hazard, Waktu Tunggu Kerja, Maximum Likelihood Estimation

Abstract

Every university graduate certainly expects to obtain the desired job as soon as possible. But in reality, because of high competitiveness in job markets many graduates have long waiting time to get a job. Survival analysis can be used to analyse the length of waiting time to obtain the first job. Thus, the objectives of this research are to get Cox Proportional Hazard model parameter on the length of waiting time of the graduate of Faculty of Social and Political Sciences Syarif Hidayatullah State Islamic University Jakarta to obtain the first job based on Maximum Likelihood Estimation principle and to explain factors influencing the graduate’s length of waiting time to obtain the first job by analysing the variable of gender, GPA, and study program. Data used in this research are from document of the faculty. The research found Cox Proportional Hazard model parameter on the graduate’s length of waiting time to obtain the first job and its significant influential factors, namely GPA and study program.

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References

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Published

2022-12-30

How to Cite

[1]
“SURVIVAL ANALYSIS OF THE FIRST JOB WAITING TIME FOR GRADUATES USING THE COX PROPORTIONAL HAZARD MODEL BASED ON THE MAXIMUM LIKELIHOOD ESTIMATION PRINCIPLE: SURVIVAL ANALYSIS OF THE FIRST JOB WAITING TIME FOR GRADUATES USING THE COX PROPORTIONAL HAZARD MODEL BASED ON THE MAXIMUM LIKELIHOOD ESTIMATION PRINCIPLE”, Fraction, vol. 2, no. 2, pp. 74–82, Dec. 2022, doi: 10.33019/fraction.v2i2.41.

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