Claim Missing Document
Check
Articles

Found 3 Documents
Search

STUDI LITERASI ANALISIS REGRESI LINEAR PENGARUH TINGKAT INFLASI TERHADAP SUKU BUNGA DI NEGARA KANADA DARI TAHUN 1960-1995 Dodi Irwan Siregar
Bilancia : Jurnal Ilmiah Akuntansi Vol 2 No 1 (2018): Bilancia : Jurnal Ilmiah Akuntansi
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (267.967 KB)

Abstract

The required capital goods (investments) are highly dependent on the interest rate as a measure of the cost of the funds used to finance the investment. the continuing trend of price increases, affecting individuals, businesses and governments in managing the economy. Regression analysis is the relationship obtained and expressed in terms of mathematical equations that express the functional relationship between variables. Correlation is one of the analytical techniques in statistics used to find the relationship between two variables that are quantitative inflation and interest rates in the State of Canada from 1960 to 1995. Then obtained a simple linear regression equation is Y = 5.1913 + 0.618081X with Pearson correlation coefficient can is used to express the linear relationship between two variables when the data is quantitative data (interval or ratio data) and both variables are normal distributed bivariates. then got correlation between both variables is r = 0.555255 with Interpretation of correlation (linkage) between inflation rate to interest rate is strong that is between 0.50 - 0.75. Barang-barang modal yang diminta (investasi) sangat tergantung pada tingkat bunga (interest) sebagai ukuran biaya dari dana yang digunakan untuk membiayai investasi tersebut. kecenderungan kenaikan tingkat harga secara terus menerus, mempengaruhi individu-individu, bisnis, dan pemerintah dalam mengelola perekonomian. Analisis regresi adalah hubungan yang didapat dan dinyatakan dalam bentuk persamaan matematik yang menyatakan hubungan fungsional antar variabel-variabel. Korelasi merupakan salah satu teknik analisis dalam statistik yang digunakan untuk mencari hubungan antara dua variabel yang bersifat kuantitatif tingkat inflasi dan sukubunga di Negara Kanada dari tahun 1960 – 1995. Maka didapat persamaan regresi linear sederhana adalah Y = 5.1913 + 0.618081X dengan koefisien Korelasi Pearson dapat digunakan untuk menyatakan besar hubungan linier antara dua variabel ketika data adalah data kuantitatif (data berskala interval atau rasio) dan kedua variabel adalah bivariat yang berdistribusi normal. maka didapatkan korelasi antara kedua variable tersebut adalah r = 0.555255 dengan Interpretasi dari korelasi (keterkaitan) antara tingkat inflasi terhadap sukubunga adalah kuat yaitu antara 0.50 – 0.75.
PENYELIDIKAN KEBOCORAN PIPA BAWAH TANAH MENGGUNAKAN METODE GEOLISTRIK KONFIGURASI WENNER-SCHLUMBERGER BERDASARKAN MODEL FISIS SKALA LABORATORIUM Dodi Irwan Siregar; Juandi M; Mhd Edisar
Komunikasi Fisika Indonesia Vol 15, No 1 (2018)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (183.093 KB) | DOI: 10.31258/jkfi.15.1.1-5

Abstract

The research has been done using physical modeling of geoelectric configuration application of Wenner-Sclumberger to model the existence of underground pipe leakage. Modeling is done on a tub made of wood and glass which is filled with sand and clay as medium (host-rock) and the inclusion of leaked steel pipe, the first measurement model is done before the fluid flow into the leaking pipe, obtained the type of pipe resistance pattern 2310 Ωm at a depth of 25 cm from the sand surface with an error iteration of 9.5%. The second model is measured by flowing water into the leaking pipe obtained the pattern of resistance around the type of leakage where the leak is lower is between 6.49 - 55.9 Ωm lies in the horizontal range 12.5 - 20.5 cm and in the vertical range 10 - 45 cm from the sand surface with 25.8% error iteration. The third model is measured by flowing kerosene into leaking pipe can be seen clearly the pattern of distribution of resistance type around the leaky pipe is lower 12 - 71.3 Ωm lies in the horizontal range 11 - 19 cm and in the vertical range of 7-25 cm from the surface sand with 15.7% error iteration
Pengaruh Nilai Ekspor dan Pendapatan Domestik Bruto Indonesia terhadap Nilai Kurs Mata Uang Rupiah (IDR–USD) Dodi Irwan Siregar
Jurnal Ekonomi KIAT Vol. 29 No. 2 (2018): Desember 2018
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

As explained in the Mundell-Fleming theory (Mankiw, 2006), which states that there is a negative influence between the exchange rate and economic growth, where the higher the exchange rate, the net exports (the difference between exports and imports) are lower, this decline will have an impact on the amount of output decreasing and will cause GDP (economic growth) to decline. Export is the process of transporting goods or commodities of a country to another country, this process is often used by companies with small to medium scale businesses as the main strategy to compete at the international level. This study uses multiple linear regression analysis to predict and predict changes in the value of certain variables when other variables change. Correlation is one of the statistical analysis techniques used to find relationships between two or more variables that are quantitative. By using linearity test where f counts > f table is 20,4185 > 6,944 So, Ho is rejected. Where multiple linear regression analysis can be used to analyze the effect of Indonesia’s Export Value and Gross Domestic Product on the Value of the Rupiah Currency Exchange (IDR-USD). Obtained the multiple linear regression equation is Y = 4114.9996434 - 9.54927X1 + 0.9247X2, Interpretation of the correlation (linkage) of the relationship between IDR-USD (Y) Currency Exchange Variables to Indonesian Export Value (X1) and Domestic Products Gross (X2) is 0.954352126 with a very strong interpretation which ranges from 0.75 to 0.99.