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Sudarlan Sudarlan
Jurusan Akuntansi - Politeknik Negeri Samarinda

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DAMPAK PERTAMBAHAN JUMLAH PENDUDUK DAN INVESTASI TERHADAP PERTUMBUHAN PENDAPATAN PER KAPITA DI INDONESIA : Studi Kasus 34 Provinsi Sudarlan Sudarlan
Jurnal Eksis Vol 15, No 1 (2019)
Publisher : Politeknik Negeri Samarinda

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Abstract

In the era of decentralization that has been enacted by the government of Indonesia in 2000, where the most central government authority delegated to provincial and district/city governments, specialized for financial management and policy areas to encourage the development of the region, that is improving the welfare of the societies measured by the per capita income for the community.The purpose of this research is to understand the affect of population, investment and inflation to per capita income growth by 33 provincial data in Indonesia from 2002 to 2011. The research used explanatory method by using time-series and cross-section data and applied an Ordinary Least Square method (OLS).The important finding in this research is (a) the number of population had a negative impact and significant statistically on per capita income growth, (b) the number of investment had positive impact and significant statistically on per capita income growth, and (c) inflation did not have any impact  on per capita income growth.  Keywords: per capita income growth, population, inflation, investment and Indonesia
PENGARUH LABA, ARUS KAS, DAN MODAL KERJA TERHADAP PREDIKSI ARUS KAS OPERASI MASA DEPAN PADA PERUSAHAAN OTOMOTIF TERDAFTAR DI BEI Sudarlan Sudarlan; Noor Fachman Tjetje; Pertiwi Dwita Sari
Jurnal Eksis Vol 17, No 2 (2021): Vol 17 No. 2 Oktober 2021
Publisher : Politeknik Negeri Samarinda

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The aim of this study is to provide empirical evidence regarding the effect of increases and decreases in earnings, operating cash flows and working capital in predicting future operating cash flows. The factors studied are operating profit, operating cash flow and operating working capital for the year. This study uses a quantitative approach, using secondary data from the financial statements of automotive companies listed on the IDX during the 2015-2020 period. Data analysis used the statistical method of multiple linear regression analysis using the SPSS program. The results of this study indicate that operating profit and operating cash flow have no significant effect, while working capital has a significant effect on predicting future cash flows. Keywords           : operating cash flow, profit, working capital, automotive, and prediction.