Pemodelan Tingkat Pengangguran Terbuka Di Provinsi Jawa Barat Menggunakan Regresi Nonparametrik Spline Truncated

Kurniawati, Novia Asri (2019) Pemodelan Tingkat Pengangguran Terbuka Di Provinsi Jawa Barat Menggunakan Regresi Nonparametrik Spline Truncated. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 06211540000079-Undergraduate_Theses.pdf Restricted to Repository staff only Download (1MB) | Request a copy

Abstract

Tingkat Pengangguran Terbuka (TPT) merupakan indikator yang digunakan untuk menilai kesejahteraan sosial masyarakat. Badan Pusat Statistika (BPS) tahun 2018 merilis data TPT di Indonesia menurut provinsi yang menunjukan Provinsi Jawa Barat memiliki TPT tertinggi yaitu sebesar 8,22. Terdapat empat faktor dari indikator sosial kependudukan yang diduga berpengaruh terhadap tingkat pengangguran terbuka di Provinsi Jawa Barat tahun 2017 yaitu Tingkat Partisipasi Angkatan Kerja (TPAK), Dependency Ratio, Rata-rata Lama Sekolah dan Laju Pertumbuhan Ekonomi. Berdasarkan analisa menggunakan scatterplot data yang telah diperoleh dari Badan Pusat Statistika Provinsi Jawa Barat tahun 2017 menunjukan tidak adanya pola hubungan antara Tingkat Pengangguran Terbuka (TPT) dengan faktor-faktor yang diduga berpengaruh sehingga pada penelitian ini digunakan metode regresi nonparametrik spline truncated. Hasil analisa menunjukan bahwa variabel TPAK, Dependency Ratio, Rata-rata Lama Sekolah dan Laju Pertumbuhan PDRB berpengaruh secara signifikan terhadap Tingkat Pengangguran Terbuka (TPT) di Provinsi Jawa Barat tahun 2017 dengan nilai koefisien determinasi 95,23.
==================================================================================================================================
The Open Unemployment Rate (TPT) is an indicator used to assess the social welfare of the community. The Central Statistics Agency (BPS) in 2018 released TPT data in Indonesia by province which showed that West Java Province had the highest TPT at 8.22. There are four factors of population social indicators which are suspected to influence the open unemployment rate in West Java Province in 2017, namely the Labor Force Participation Rate (TPAK), Dependency Ratio, Average School Duration and Economic Growth Rate. Based on the analysis using scatterplot data that has been obtained from the Central Statistics Agency of West Java Province in 2017 showed no pattern of relations between the Open Unemployment Rate (TPT) and the other factors which were thought to be influential so that, in this case, they were used a truncated nonparametric spline regression method. The results of the analysis show that the TPAK variable, Dependency Ratio, Average School Duration and Economic Growth Rate significantly influence the Open Unemployment Rate (TPT) in West Java Province in 2017 with a coefficient of determination of 95.23.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Coefficient of Determination, GCV, Nonparametric Spline Regression, Unemployment
Subjects:	H Social Sciences > HA Statistics > HA31.3 Regression. Correlation. Logistic regression analysis.
Divisions:	Faculty of Mathematics, Computation, and Data Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Novia Asri Kurniawati
Date Deposited:	23 Jul 2026 03:00
Last Modified:	23 Jul 2026 03:00
URI:	http://repository.its.ac.id/id/eprint/64792

Actions (login required)

View Item