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 <titleInfo>
  <title>ANALISIS FAKTOR YANG MEMENGARUHI PELANGGAN LISTRIK PASCABAYAR TIDAK BERALIH MENGGUNAKAN LISTRIK PRABAYAR</title>
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 <name type="Personal Name" authority="">
  <namePart>RISKA AULIA</namePart>
  <role>
   <roleTerm type="text">Primary Author</roleTerm>
  </role>
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 <typeOfResource manuscript="no" collection="yes">mixed material</typeOfResource>
 <genre authority="marcgt">bibliography</genre>
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  <place>
   <placeTerm type="text">Banda Aceh</placeTerm>
   <publisher>FAKULTAS EKONOMI BISNIS UNIVERSITAS SYIAH KUALA</publisher>
   <dateIssued>2016</dateIssued>
  </place>
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  <languageTerm type="code">id</languageTerm>
  <languageTerm type="text">Indonesia</languageTerm>
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 <note>ABSTRACT&#13;
Title : An Analysis of Factors Affecting Postpaid Customers Not&#13;
Switch Using Prepaid Electricity&#13;
Name : Riska Aulia&#13;
Student Number : 1201101010054&#13;
Faculty/Departement : Economic and Bussiness/ Economic Development&#13;
Adviser : Nur Aidar, S.E. M.S.E&#13;
The Purpose of this research is to determine factors that influence postpaid&#13;
customers not switch using prepaid electricity. This research uses primary data&#13;
with interview method using questionnaire. The sampel uses in this research is 84&#13;
respondents were taken using Random Sampling. The Analysis model used&#13;
analytical factors using Confirmatory Factor Analysis (CFA) with processed by&#13;
using SPSS. The result of analysis show that educational factors, the number of&#13;
family members, income, electricity comsumption and electronic goods&#13;
significantly affecting postpaid customers not switch using prepaid electricity in&#13;
Banda Aceh. However, educational factors and number of family member is&#13;
dominant factor that affecting postpaid customers not switch using prepaid&#13;
electricity in Banda Aceh. Based on this research, PT PLN should improve the&#13;
dissemination of the advantages of prepaid electricity.&#13;
Keywords : Electricity, Postpaid, Prepaid, Education, Income, Househoulds, CFA,&#13;
SPSS.</note>
 <subject authority="">
  <topic>PARAMETRIC - STATISTICAL METHODS</topic>
 </subject>
 <classification>519.5</classification>
 <identifier type="isbn"></identifier>
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  <physicalLocation>ELECTRONIC THESES AND DISSERTATION Universitas Syiah Kuala</physicalLocation>
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