https://ak3.sarpras.unair.ac.id/assets/rekomendasi/ https://bce.unpad.ac.id/top/ https://pendfisika.ulm.ac.id/wp-content/thai/ https://sapasko.kemenpora.go.id/ https://ak3.sarpras.unair.ac.id/assets/berita/ https://lms.stmik-dci.ac.id/blog/cache/ https://elitbang.depok.go.id/user/sbo/ http://p4m.pnl.ac.id/ https://pastiberaksi.sulselprov.go.id/ https://elitbang.depok.go.id/ https://wonosari.bondowosokab.go.id/pelayanan/ slot gacor situs slot gacor pertanian.bondowosokab.go.id/ https://elitbang.depok.go.id/assets/ https://simaster.wonosobokab.go.id/obc4d/ https://cms-bpsdubm.kemenkumham.go.id/json/ https://elakip2023.slemankab.go.id/modules/obc4d/ https://kinerja.iainambon.ac.id/ https://corinnemartin.com/ https://thedevilsrejects.com/ https://www.ehazira.net/ https://henantwinespirits.com/ https://majormagnetgame.com/ https://grunkamunka.com/ https://villatente.com/ https://exper-tr.com/ https://bkd.iainambon.ac.id/assets/ https://mi.aikom.ac.id/assets/ https://www.gorevdeyukselmesinavi.com.tr/ https://bkad.bengkuluutarakab.go.id/wp-content/themes/ https://compchem.ub.ac.id/ https://pastiberaksi.sulselprov.go.id/sgacor/ https://lihtr.unair.ac.id/assets/ https://geliatairlangga.unair.ac.id/toto/ https://e-kkn.unila.ac.id/assets/ https://simlp2mv2.unm.ac.id/gacor/ https://e-kkn.unila.ac.id/gacor/ https://e-kkn.unila.ac.id/about/ https://pafirembang.com/ https://pafijaktim.org/ https://pafislawi.org/ https://pafilasem.org/ https://dinkes.bondowosokab.go.id/dinkes/x777/ https://guvenlunapark.com/ https://pafikediri.com/
STUDI PENDAPATAN PEDAGANG PASAR INPRES MANONDA KOTA PALU | Utari | Katalogis

STUDI PENDAPATAN PEDAGANG PASAR INPRES MANONDA KOTA PALU

St Hamdana Utari

Abstract


This study aims to 1) analyze the influence of venture capital, working hours, long selling and business locations simultaneously against income market traders Instruction Manonda Palu, 2) analyze the influence of venture capital, working hours, long selling and business location partially on income trader Instruction market Manonda Palu. This research was conducted in the city of Palu, by taking the Presidential Manonda market location which is managed by the Department Perindakop Palu City. This research technique of determining informant set 93 merchants. Data analysis tool used is multiple regression with SPSS 16. The method used is qualitative method that describes the state of the research field. Manonda Presidential Market Dealer profiles are classified by age are generally aged 19 to 50 years, based on religion generally are Muslims, ethnic generally Kaili and Bugis tribe, by region of origin generally derived from Palu city and surrounding region. The results of  this study showed that the relationship between the variables based on the results of multiple regression analysis, simultaneous factor of capital, working hours, working time, and location of the business significantly affect the earnings of traders. Partial variable capital, working hours, working time and location of the business showed a significant effect on the income market traders Instruction Manonda Palu.


Keywords


The Study of Revenue of Market Traders Inpres Manonda

Full Text: PDF

Refbacks

  • There are currently no refbacks.


View My Stats

Indexed By

Google Scholar OneSearch BASE