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Journal : Accounting Progress

Analisis Pengaruh Harga Minyak, Kurs, Dan Suku Bunga Terhadap Indeks IDX Financial Periode 2019-2022 Menggunakan Model Autoregressive Distributed Lag (ARDL) Gunawan, Didik; Nurhafizah, Siti; Kusdiana, Dikdik
Accounting Progress Vol. 4 No. 1 (2025): Accounting Progress Edisi Juni 2025
Publisher : Sekolah Tinggi Ilmu Ekonomi Bina Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70021/ap.v4i1.214

Abstract

This research aims to analyze the influence of oil prices, exchange rates and interest rates on the IDX financial index for the 2019-2022 period using the autoregressive distributed lag (ARDL) model. This study uses a quantitative approach. The population in this study is daily data from the IDX Financial Index, oil prices, exchange rates and interest rates from January 2019 to December 2022, so the sample in this study is 978 time series data with a sampling technique using a total sampling technique. The data collection method uses documentation published on the sites id.investing.com and www.bi.go.id. Data analysis in this research uses the Autoregressive Distributed Lag method with the help of E-views version 10 software. The results of this research show that in the short and long term world oil prices have a positive and significant effect on the IDX Financial Index. In the short and long term the exchange rate has a negative and significant effect on the IDX Financial Index. Meanwhile, interest rates have no effect on the IDX Financial Index in the short or long term.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI CAPITAL ADEQUACY RATIO (CAR) PADA PERUSAHAAN PERBANKAN DI BURSA EFEK INDONESIA PERIODE 2015-2019 Useno, Bambang; Gunawan, Didik
Accounting Progress Vol. 1 No. 1 (2022): Accounting Progress Edisi Juni 2022
Publisher : Sekolah Tinggi Ilmu Ekonomi Bina Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70021/ap.v1i1.29

Abstract

Penelitian ini bertujuan untuk mengetahui bagaimana faktor-faktor yang mempengaruhi Capital Adequacy Ratio (CAR) pada Perusahaan Perbankan Di Bursa Efek Indonesia Periode 2015-2019. Hasil pengelohan data menunjukkan jika variabel Loan to Deposit Ratio, Quick Ratio, Asset to Loan Ratio, Return on Asset, Return on Equity, Net Interest Margin dapat menjelaskan variabel Capital Adequacy Ratio 21,1% , sisanya sebesar 78,9% dijelaskan oleh variabel lain. Pada hasil uji regresi linier berganda perolehan persamaan regresi sebagai berikut: Hasil dari uji hipotesis menyatakan bahwa: Hipotesis 1 diterima, hal ini dapat dilihat dari nilai thitung < ttabel maka secara pasrial dapat dinyatakan Loan to Deposit Ratio berpengaruh terhadap Capital Adequacy Ratio. Hipotesis ke 2 diterima, hal ini dapat dilihat dari nilai -thitung < -ttabel maka dinyatakan secara parsial Asset to Loan Ratio berpengaruh terhadap Capital Adequacy Ratio. Hipotesis 3 ditolak, hal ini dapat dilihat dari nilai thitung < ttabel maka dapat Quick Ratio tidak berpengaruh terhadap Capital Adequacy Ratio. Hipotesis ke 4 diterima, hal ini dapat dilihat dari nilai thitung > ttabel maka dinyatakan secara parsial Return on Asset berpengaruh terhadap Capital Adequacy Ratio. Hipotesis ke 5 diterima, hal ini dapat dilihat dari nilai -thitung < -ttabel maka dinyatakan secara parsial Return on Equity berpengaruh terhadap Capital Adequacy Ratio. Hipotesis ke 6 ditolak, hal ini dapat dilihat dari nilai thitung < ttabel maka dinyatakan secara parsial Net Interest Margin berpengaruh terhadap Capital Adequacy Ratio.
Analisis Peramalan Nilai Ethereum Menggunakan Model Autoregressive Integrated Moving Average Liunardo, Nycholas; Gunawan, Didik; Murniati, Neni
Accounting Progress Vol. 2 No. 2 (2023): Accounting Progress Edisi Desember 2023
Publisher : Sekolah Tinggi Ilmu Ekonomi Bina Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70021/ap.v2i2.99

Abstract

The purpose of this study is to test the ability of the Autoregressive Integrated Moving Average (ARIMA) model to predict the Ethereum value which fluctuates greatly due to the Rusian and Ukraine War. The population in this study is daily closing price data for the period May 2021 to May 2022, so the sample in this study is 396 data time series data. The results showed that the best ARIMA model for predicting the Ethereum value was ARIMA (1,1,0). ARIMA (1,1,0) can predict the Ethereum value pretty good because the value of the forecasting results is not much different from the actual value. This is also evidenced by the results of the accuracy test using MAPE which has a result of 0,448 which means the accuracy of forecasting is 55,2%.
Pengaruh Profitabilitas dan Solvabilitas Terhadap Harga Saham Sektor Bahan Baku Di Bursa Efek Indonesia Gunawan, Didik; Ferryanto, Thomas
Accounting Progress Vol. 3 No. 1 (2024): Accounting Progress Edisi Juni 2024
Publisher : Sekolah Tinggi Ilmu Ekonomi Bina Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70021/ap.v3i1.152

Abstract

This research aims to determine the influence of The Influence of Profitabilitas and Solvabilitas on Stock Prices (empirical study of basic materials sector companies listed on the Indonesian Stock Exchange for the 2018-2022 period). The type of research that will be carried out in this research is explanatory. Replication research is a repetition of a basic experiment, namely between the independent variable and the dependent variable. The results of this research are based on the results of the analysis of the first hypothesis. It is concluded that the first hypothesis is accepted, meaning that the Profitability variable influences the Stock Price variable. Based on the results of the analysis of the second hypothesis, it can be concluded that the second hypothesis is accepted, meaning that the Solvency variable influences the Stock Price variable. Based on the results of the analysis of the third hypothesis, it can be concluded that the third hypothesis is accepted, meaning that the Profitability variable and the Solvency variable have a joint (simultaneous) effect on the Stock Price variable.