Gine Das Prena, N. Utami, I. Utari, Gusi Putu Lestara Permana
{"title":"AUDIT INTERNAL, PENGENDALIAN INTERNAL, DAN GAYA KEPEMIMPINAN DALAM MENJAGA KETAHANAN GOOD CORPORATE GOVERNANCE (GCG)","authors":"Gine Das Prena, N. Utami, I. Utari, Gusi Putu Lestara Permana","doi":"10.38043/jiab.v7i2.3811","DOIUrl":null,"url":null,"abstract":"This study was conducted by locating Village Credit Institutions (LPD) in Blahbatuh District, The respondents selected in this study were the Head of the Village Credit Institution (LPD), the Village Credit Institution Supervisory Agency (LPD), and the credit department staff, so that 102 respondents were obtained from 36 Village Credit Institutions (LPD) Blahbatuh District, Gianyar. The analytical are used in this study is using SPSS for multiple regression analysis. the following conclusions can be drawn. shows that all proposed hypotheses are obtained with positive values and there is a significant effect","PeriodicalId":31049,"journal":{"name":"Jurnal Ilmiah Akuntansi dan Bisnis","volume":"81 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Ilmiah Akuntansi dan Bisnis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.38043/jiab.v7i2.3811","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study was conducted by locating Village Credit Institutions (LPD) in Blahbatuh District, The respondents selected in this study were the Head of the Village Credit Institution (LPD), the Village Credit Institution Supervisory Agency (LPD), and the credit department staff, so that 102 respondents were obtained from 36 Village Credit Institutions (LPD) Blahbatuh District, Gianyar. The analytical are used in this study is using SPSS for multiple regression analysis. the following conclusions can be drawn. shows that all proposed hypotheses are obtained with positive values and there is a significant effect