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UNIMED » Undergraduate Theses » Manajemen - S1
Posted by dedek88954@gmail.com at 10/01/2013 09:01:28  •  1049 Views


ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN USAHA KECIL MENENGAH PEMBUAT KRIPIK SINGKONG DI KOTA MEDAN

Analysis of Factors Affecting the UKM Income Cassava Chips Maker in Medan

Created by :
Sinurat, Riadi Tua ( 708221068 )



SubjectMANAGEMENT OF PRODUCTION
Alt. Subject MANAJEMEN PRODUKSI
KeywordPengalaman Berusaha
Jam Berusaha
Modal Operasi
Tingkat Pendidikan dan Pendapatan

Description:

Penelitian ini bertujuan untuk mengetahui pengaruh pengalaman berusaha, jam kerja, modal dan tingkat pendidikan memiliki pengaruh terhadap Pendapatan UKM Pembuat Kripik Singkong di Kota Medan. Populasi dalam penelitian ini sama dengan sampel yaitu sebanyak 50 orang. Teknik analisis data yang digunakan adalah analisis regresi berganda dengan rumus Y = α + b1 X1 + b2 X2 + b3X3+ b4 X4 +e. Dengan hasil uji validitas diperoleh r-hitung > r-tabel untuk masing-masing item pertanyaan dan uji reabilitas angket diperoleh alpha cronbach untuk masing-masing variabel, yaitu 0.796 untuk variabel X1, 0,603 untuk variabel X2, 0,750 untuk variabel X3, 0,690 untuk variabel X4 dan 0,723 untuk variabel Y. Nilai ini lebih besar bila dibandingkan dengan r-tabel yaitu sebesar 0,279. Analisis data pada masing-masing variabel diperoleh dari persamaan regresi berganda yaitu Y= -4,220 +0,149 X1 + 0,362 X2 + 0,268 X3 + 0,303 X4 + e yang artinya jika semua hal pada variabel-variabel independen dianggap konstan, maka nilai pendapatan adalah sebesar -4,220. Uji parsial pada X1= 1,957, X2= 3,251, X3= 2,878 dan X4= 2,681 lebih besar disbanding dengan r-tabel yaitu 0,279. Secara simultan diperoleh uji Fhitung = 9,530 > Ftabel = 2,812 atau Ho ditolak dan Ha diterima yang artinya hipotesis kelima diterima dan membuktikan bahwa pengalaman berusaha, jam berusaha, modal operasi, tingkat pendidikan berpengaruh terhadap pendapatan, karena nilai sig.yaitu 0,000 < 0,05. Selanjutnya diperoleh koefisien determinasi (R square) sebesar 45,9% dan sisanya 54,1% dijelaskan oleh faktor lain diluar dari analisis variabel dalam penelitian ini. Nilai 0.459 menunjukkan adanya proporsi variabel dependen yang dijelaskan oleh variabel independen dimana Semakin tinggi nilai R Square maka akan semakin baik bagi model regresi karena menandakan bahwa kemampuan variabel bebas menjelaskan variabel terikat juga semakin besar.


Alt. Description

This study aimed to determine the effect of business experience, hours of work, capital and education levels have an influence on SMEs Revenue Cassava Chips Maker in Medan. The population in this study is similar to sample as many as 50 people. The data analysis technique used is multiple regression analysis with the formula Y = α + b1 X1 + b2 X2 + b3X3 + b4 X4 + e. With the validity of the test results obtained by r-count> r-tables for each question item and test reliability of the questionnaire obtained Cronbach alpha for each variable, ie 0796 for the variables X1, X2 0.603 for the variable, 0.750 for the variable X3, 0.690 for the variable X4 and 0.723 for the variable Y. This value is greater than the r-table that is equal to 0.279. Analysis of data on each of the variables obtained from the regression equation is Y = -4.220 +0.149 X1 +0.362 X2 + 0 .268 X3 +0 .303 X4 + e which means that if all the independent variables held constant, the value of income amounted to - 4.220. Partial Test at X1 = 1.957, X2 = 3.251, X3 = X4 = 2.878 and 2.681 greater than with r-table is 0.279. Obtained simultaneously test F-count = 9.530> F table = 2.812 or Ho is rejected and Ha accepted, which means the fifth hypothesis is received and proved that business experience, hours attempted, operating capital, the level of education affects income, because sig.yaitu value 0.000 <0.05 . Subsequently obtained coefficient of determination (R square) of 45.9% and the remaining 54.1% is explained by other factors outside of the analysis of the variables in this study. 0459 shows the proportion of the value of the dependent variable explained by the independent variable where higher value of R Square, the better the regression model because it indicates that the ability of the independent variables explain the dependent variable also increases.

Contributor:
  1. Drs. Edison Sagala, ME
Date Create:14/09/2012
Type:Text
Format:PDF
Language:Indonesian
Identifier:UNIMED-Undergraduate-0122403
Collection ID:0122403
Call Number:658 Sin a


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