Pemodelan Jumlah Pengangguran Di Provinsi Jawa Barat Menggunakan Geographically Weighted Negative Binomial Regression

Taufiqurrahman, Hilmi (2024) Pemodelan Jumlah Pengangguran Di Provinsi Jawa Barat Menggunakan Geographically Weighted Negative Binomial Regression. Diploma thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pengangguran merupakan suatu isu masalah ekonomi dan sosial yang di temui di banyak negara tidak terkecuali Indonesia. Pengangguran merupakan kondisi di mana seseeorang tidak memiliki pekerjaan dan sedang mencari pekerjaan. Berdasarkan publikasi Badan Pusat Statistika(BPS) jumlah pengangguran di Provinsi Jawa Barat sebanyak 2,13 juta jiwa yang merupakan 25,3% total jumlah pengangguran di Indonesia sebanyak 8,42 juta jiwa. Jumlah tersebut hampir dua kali lipat jumlah pengangguran di Provinsi Jawa Timur. Lapangan pekerjaan di Jawa Barat terbilang luas yang dapat dilihat dari jumlah perusahaan kurang lebih 668 ribu perusahaan, akan tetapi ternyata menurut kemnaker dan apindo jumlah pemutusan hubungan kerja(PHK) di Provinsi Jawa Barat mencapai angka 77 ribu. Tingginya PHK juga menyebabkan semakin banyaknya jumlah pengangguran di Jawa Barat. Oleh karena itu dilakukan analisis mengenai variabel yang diduga memengaruhi jumlah pengangguran di Provinsi Jawa Barat. Setiap wilayah memiliki perbedaan karakteristik terkait ketenagakerjaan dan ekonomi sehingga memungkinkan variabel yang memengaruhi jumlah pengangguran di setiap kabupaten/kota juga dapat berbeda-beda. Sehingga untuk mengakomodasi hal tersebut digunakan metode Geographically Weighted Negative Binomial Regression (GWNBR). Hasil penelitian menunjukkan bahwa jumlah pengangguran tertinggi berasal dari Kabupaten Bogor sedangkan yang terendah Kabupaten Banjar. Pemodelan menggunakan GWNBR menghasilkan 4 kelompok berdasarkan kesamaan variabel berpengaruh signifikan. Variabel PDRB, jumlah usaha mikro dan kecil, dan investasi penanaman modal dalam negeri berpengaruh signifikan secara global.
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Unemployment is an issue of economic and social problems encountered in many countries, including Indonesia. Unemployment is a condition in which a person does not have a job and is looking for work. Based on the publication of the Central Statistics Agency (BPS) the number of unemployed in West Java is 2.13 million people which is 25.3% of the total number of unemployed people in Indonesia of 8.42 million people. That number is almost double the number of unemployed in East Java. Job opportunities in West Java are very broad, which is reflected in the number of approximately 668 companies. However, according to the Ministry of Manpower and Apindo, the number of layoffs in West Java reached 77,000. The high layoffs also led to an increasing number of unemployed in West Java. Therefore, an analysis was carried out regarding the factors suspected of influencing the number of unemployed in West Java. Each region has distinct characteristics related to employment and the economy, allowing variables influencing the unemployment rate in each district/city to vary. To accommodate this, the Geographically Weighted Negative Binomial Regression (GWNBR) method is used. The research results indicate that the highest unemployment rate comes from Bogor Regency, while the lowest is from Banjar Regency. Modeling using GWNBR results in four groups based on the similarity of significant influencing variables. Gross Regional Domestic Product (PDRB), the number of micro and small businesses, and domestic capital investment have a significant global impact.

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	GWNBR, Jawa Barat, Pengangguran
Subjects:	H Social Sciences > HA Statistics
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Hilmi Taufiqurrahman
Date Deposited:	12 Jun 2024 04:36
Last Modified:	12 Jun 2024 04:36
URI:	http://repository.its.ac.id/id/eprint/108034

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