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MODEL KURVA LORENZ PADA PENGELUARAN RUMAH TANGGA PERTANIAN DI PROVINSI PAPUA Muhammad Fajar
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 1 No. 3 (2020): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v1i3.31

Abstract

Berdasarkan penelitian sebelummya menunjukkan bahwa distribusi pengeluaran rumah tangga pertanian Provinsi Papua adalah distribusi Generalized Beta Type 2 (GB2), namun menurut penulis jika model kurva Lorenz diturunkan dari distribusi Generalized Beta Type 2 memiliki bentuk yang rumit dan tidak sederhana serta implisit. Oleh karena itu, tujuan paper ini adalah untuk memodelkan kurva Lorenz pengeluaran rumah tangga pertanian Provinsi Papua dengan menggunakan model kurva Lorenz versi Rohde, yang merupakan model dengan satu parameter. Terdapat tiga rumusan untuk mengestimasi parameter dalam pemodelan kurva Lorenz, yaitu rata-rata aritmatik, median dan least square. Dalam paper ini, penulis menambahkan rumusan rata-rata harmonis dan trimean untuk mendapatkan nilai estimasi parameter pada kurva Lorenz. Hasil penelitian ini menyimpulkan bahwa model Lorenz versi Rohde dapat diterapkan dan estimasi pada model tersebut menghasilkan bahwa  yang diturunkan dari median memiliki mean squared error minimum, sehingga gini ratio yang dihasilkan memiliki akurasi dan presisi yang tinggi serta sesuai dengan sebaran data
DETERMINAN PERTUMBUHAN EKONOMI DI PROVINSI BANTEN Wahyudi Manurung; Muhammad Fajar; Noviar Noviar
Jurnal Kebijakan Pembangunan Daerah Vol 6 No 2 (2022): December 2022
Publisher : Badan Perencanaan Pembangunan Daerah Provinsi Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56945/jkpd.v6i2.184

Abstract

Economic growth is one of the important indicators in ensuring the continuity of economic development and improving the welfare of a region. Although there have been many studies conducted at home and abroad on economic growth, not many studies have examined economic growth in Banten Province. This study aims to analyze the factors that influence economic growth in Banten. Data used in this paper are gross regional domestic product based on constant prices as a proxy for the economic growth, human development index (HDI), number of workers, degree of trade openness, gross fixed capital formation and actual government expenditures sourced from Statistics Indonesia (BPS). The method used in this sudy is panel data regression analysis at the cities level in Banten for 2010 to 2019. The results indicate that the human development index (HDI), number of workers, degree of trade openness and gross fixed capital formation have significant effects on economic growth. In contrast, actual government expenditures no significant impact on economic growth in Banten. .
DETERMINAN PERTUMBUHAN EKONOMI DI PROVINSI BANTEN Wahyudi Manurung; Muhammad Fajar; Noviar Noviar
Jurnal Kebijakan Pembangunan Daerah Vol 6 No 2 (2022): December 2022
Publisher : Badan Perencanaan Pembangunan Daerah Provinsi Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56945/jkpd.v6i2.184

Abstract

Economic growth is one of the important indicators in ensuring the continuity of economic development and improving the welfare of a region. Although there have been many studies conducted at home and abroad on economic growth, not many studies have examined economic growth in Banten Province. This study aims to analyze the factors that influence economic growth in Banten. Data used in this paper are gross regional domestic product based on constant prices as a proxy for the economic growth, human development index (HDI), number of workers, degree of trade openness, gross fixed capital formation and actual government expenditures sourced from Statistics Indonesia (BPS). The method used in this sudy is panel data regression analysis at the cities level in Banten for 2010 to 2019. The results indicate that the human development index (HDI), number of workers, degree of trade openness and gross fixed capital formation have significant effects on economic growth. In contrast, actual government expenditures no significant impact on economic growth in Banten. .