[ABSTRAK
Fokus penelitian ini adalah mengetahui pengaruh karakteristik individuterhadap upah pekerja konstruksi menggunakan data SAKERNAS 2013 denganjumlah responden 13.365 dan menggunakan analisis regresi linier bergandadengan metode ordinary least square (OLS).Hasil penelitian menunjukkan bahwa variabel bebas meliputi umur, jeniskelamin, status kawin, tempat tinggal, pendidikan, pelatihan, regional, hari kerjamempunyai pengaruh positif terhadap upah pekerja konstruksi. Penerimaan upahmaksimum terjadi pada umur 46,43 tahun, sedangkan setiap penambahan umur 1tahun akan menambah penghasilan sebesar 2,6%. Jenis kelamin laki-laki akanmendapatkan upah sebesar 3,49% > berjenis kelamin perempuan. Status kawinakan menerima upah sebesar 10,34% > tidak kawin. Sedangkan pekerja yangtinggal di kota akan menerima upah sebesar 13,43% > pekerja yang tinggal didesa. Pendidikan tamat SMP akan menerima upah sebesar 6,64% , berpendidikantamat SMA+ sebesar 26,18% lebih tinggi dari pekerja yang berpendidikan <=SD.Pekerja yang mengikuti pelatihan kerja (bangunan batu, kayu dan beton) akanmendapatkan upah sebesar 25,72% > tidak mengikuti pelatihan kerja. Dan pekerjayang tinggal di Pulau Sumatera akan mendapatkan upah sebesar 29,78%, PulauJawa sebesar 10,01%, Pulau Kalimantan sebesar 50,75%, Pulau Sulawesi sebesar26,26% dan Pulau Maluku serta Papua yang akan mendapat upah sebesar 45,08%lebih tinggi jika di bandingkan dengan pekerja yang tinggal di pulau Bali danNusa Tenggara.
ABSTRACT
The focus of this study find out of the effect of individual characteristicson the wages of construction workers using SAKERNAS 2013 with 13.365number of respondents and using multiple linear regression analysis with themethod of Ordinary Least Squares (OLS).Results of research shows that the independent variables consist of age,gender, marital status, place of residence, education, training, regional, workingdays have a positive effect on the wages of construction workers. The maximumwages occurs at the age of 46.43 years, and base on inferential analysis canconclude that every additional 1 year of age will increase revenue 2.6%. Male willget wages 3.49% > female. Marital status will get wages 10.34% > are notmarried. While workers living in the city will receive a wage 13.43% > workerwho lives in the village. Junior high school will receive wages 6.64%, completedhigh school plus will receive wages 26.18% higher than <= SD. Workers whofollow vocational training (masonry, wood and concrete) will get wages 25.72% >does not follow vocational training. And workers who live on the island ofSumatra will get wages 29.78%, 10.01% Java, 50.75% Borneo, 26.26% Sulawesiand 45,08% Maluku and Papua island higher when compared with workers wholive on the island of Bali and Nusa Tenggara, The focus of this study find out of the effect of individual characteristicson the wages of construction workers using SAKERNAS 2013 with 13.365number of respondents and using multiple linear regression analysis with themethod of Ordinary Least Squares (OLS).Results of research shows that the independent variables consist of age,gender, marital status, place of residence, education, training, regional, workingdays have a positive effect on the wages of construction workers. The maximumwages occurs at the age of 46.43 years, and base on inferential analysis canconclude that every additional 1 year of age will increase revenue 2.6%. Male willget wages 3.49% > female. Marital status will get wages 10.34% > are notmarried. While workers living in the city will receive a wage 13.43% > workerwho lives in the village. Junior high school will receive wages 6.64%, completedhigh school plus will receive wages 26.18% higher than <= SD. Workers whofollow vocational training (masonry, wood and concrete) will get wages 25.72% >does not follow vocational training. And workers who live on the island ofSumatra will get wages 29.78%, 10.01% Java, 50.75% Borneo, 26.26% Sulawesiand 45,08% Maluku and Papua island higher when compared with workers wholive on the island of Bali and Nusa Tenggara] |
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