ASTUTI, WAHYU INDRI (2017) FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP TINGKAT PENGANGGURAN TERBUKA DI JAWA TIMUR DENGAN PENDEKATAN REGRESI DATA PANEL. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Tingkat Pengangguran Terbuka (TPT) adalah salah indikator pada bidang ketenagakerjaan untuk melihat dinamika perubahan pengangguran dalam suatu daerah. Periode waktu 11 tahun dari tahun 2005 hingga 2015 TPT Provinsi Jawa Timur cenderung mengalami penurunan, namun tahun 2015 mengalami kenaikan hingga 4,47 persen dibanding tahun sebelumnya hanya sekitar 4,19 persen. Kenaikan TPT yang cukup signifikan diduga adanya pengaruh AEC (ASEAN Economic Comunity) diawal tahun 2015. Pemodelan Tingkat Pengangguran Terbuka Jawa Timur menggunakan regresi data panel merupakan metode dengan menggabungkan data cross section dan time series, sehingga mampu menangkap karakteristik dari masing-masing perubahan kabupaten/kota dan periode waktu tertentu. Pada penelitian ini meghasilkan model estimasi terbaik untuk menganalisis TPT Jawa Timur adalah Fixed Effect Model (FEM) Cross Section Weighted. Berdasarkan analisis tersebut variabel berpengaruh signifikan adalah TPAK, laju pertumbuhan penduduk, rasio ketergantungan, usia 15 tahun tamat SMA/SLTA dan UMK dengan menghasilkan kebaikan model R2 79,54 persen.
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Unemployment Rate (UR) is an indicator within employment field
to comprehend the changing dynamics of unemployment in a
certain region. During 11 years (2005-2015), the Unemployment
Rate in East Java has a tendency to decrease, yet it increases in
the specific year of 2015 by reaching out an increase to 4.47%
from 4.19% in the previous year. The significant increase of this
Unemployment Rate suspected to be affected by the existence of
ASEAN Economics Community in the early 2015. Unemployment
Rate modelling in East Java by using Panel Data Regression is a
method that involves cross section and time series data which can
help to identify the characteristics of change in each regency/city
for the period of time used in the analysis. The result of this
research shows that Fixed Effect Model (FEM) Cross Section
Weighted is the most appropriate estimation method to identify
TPT by considering the significant influencing variables of TPAK,
population growth rate, dependency ratio, age above 15 that
graduated from high school SMA/SLTA, and UMK that result in
the model competency value of R2 of 79.54%.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Buku Pedoman, software eviews, AEC, Fixed Effect Model Cross Section Weighted, Panel Data Regression, Unemployment Rate |
| Subjects: | Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | - WAHYU INDRI ASTUTI |
| Date Deposited: | 26 Jan 2017 06:40 |
| Last Modified: | 08 Mar 2019 03:50 |
| URI: | http://repository.its.ac.id/id/eprint/3544 |
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