Analisis Lama Waktu Tunggu Mendapatkan Pekerjaan Lulusan Departemen Statistika Bisnis Its Menggunakan Regresi Cox Proportional Hazard

Imanda, Shaqilla Shafa (2023) Analisis Lama Waktu Tunggu Mendapatkan Pekerjaan Lulusan Departemen Statistika Bisnis Its Menggunakan Regresi Cox Proportional Hazard. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perguruan tinggi memiliki peran untuk mencetak lulusan yang berkualitas dan memiliki kemampuan dalam berkompetisi di dunia pekerjaan. Salah satu indikator tentang kualitas lulusan adalah bagaimana lulusan ini mampu bersaing di dunia kerja dengan waktu tunggu sarjana yang singkat. Waktu tunggu sarjana adalah interval waktu seorang mahasiswa mulai dari dinyatakan lulus dari Perguruan Tinggi sampai mendapatkan pekerjaan pertama (Hartinah, 2016). Perbedaan lama survival lulusan inilah yang akan menjadi pokok penelitian yang bertujuan untuk mengetahui faktor-faktor apa saja yang berpengaruh terhadap lama waktu tunggu lulusan departemen Statistika Bisnis ITS. Metode yang digunakan dalam penelitian ini yaitu Analisis Survival dengan model Regresi Cox Proportional Hazard. Model Regresi Cox Proportional Hazard cocok digunakan dalam penelitian yang variabel responnya berupa waktu (hari, bulan, tahun) tunggu lulusan departemen Statistika Bisnis ITS tahun angkatan 2017 dan 2018, dimana waktu survival adalah suatu rentang waktu seorang mahasiswa dikatakan lulus hingga mendapatkan pekerjaan pertamanya. Data yang diambil adalah data primer dari responden kuesioner yang telah disebarkan. Hasil dari penelitian adalah jumlah lulusan Departemen Statistika Bisnis angkatan 2017 dan 2018 sebesar 47 lulusan masuk dalam kategori sedangan sebanyak 19 orang masuk dalam kategori tersensor yaitu lulusan yang belum mendapatkan pekerjaan dan beberapa melanjutkan studi. Berdasarka model Regresi Cox Proportional Hazard terbaik diperoleh variabel yang memiliki pengaruh terhadap lama waktu tunggu lulusan mendapatkan pekerjaan yaitu nilai IPK, memiliki pengalaman keikutsertaan organisasi, memeiliki pengalaman bekerja, memiliki prestasi akademik dan mendapatkan informasi mendapat lowongan pekerjaan dari lainnya.
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Universities have a role to produce graduates who are qualified and have the ability to compete in the world of work. One indicator of the quality of graduates is how these graduates are able to compete in the world of work with short undergraduate waiting times. Undergraduate waiting time is the time interval for a student starting from being declared a graduate of a university until getting his first job (Hartinah, 2016). It is this difference in the length of survival of graduates that will become the subject of research which aims to find out what factors influence the waiting time for graduates of the ITS Business Statistics department. The method used in this study is Survival Analysis with the Cox Proportional Hazard Regression model. The Cox Proportional Hazard Regression Model is suitable for use in research where the response variable is time (days, months, years) waiting for graduates of the ITS Business Statistics department in 2017 and 2018, where survival time is the span of time a student is said to have graduated to get his first job. The data taken is primary data from questionnaire respondents who have distributed it. The results of the research are that the number of graduates from the Department of Business Statistics class of 2017 and 2018 of 47 graduates fall into the moderate category, while as many as 19 people fall into the censored category, namely graduates who have not found work and some are continuing their studies. Based on the Cox Proportional Hazard Regression model, the best variables are obtained that have an influence on the length of time graduates wait to get a job, namely GPA, having experience in participating in organizations, having work experience, having academic achievements and getting information about getting job vacancies from others.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Analisis Survival, Institut Teknologi Sepuluh Nopember, Regresi Cox Proportional Hazard, Waktu Tunggu; Cox Proportional Hazard Regression, Sepuluh Nopember Institute of Technology, Survival Analysis, Waiting Time
Subjects:	Q Science > QA Mathematics > QA276 Mathematical statistics. Time-series analysis. Failure time data analysis. Survival analysis (Biometry)
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Shaqilla Shafa Imanda
Date Deposited:	04 Sep 2023 07:08
Last Modified:	04 Sep 2023 07:08
URI:	http://repository.its.ac.id/id/eprint/103447

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