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Pengaruh Biaya Produksi Padi, Harga Gabah, dan Distribusi Beras Terhadap Harga Beras di Indonesia Tahun 2017-2024 Natama, Diary; Dianta A.S, Karuniana; Iranto, Dicky
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 3 (2026): MEI 2026
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/n184ax10

Abstract

This study aims to analyze the influence of paddy production cost, grain price, and rice distribution on rice price in Indonesia. A quantitative approach was employed using panel data regression analysis to examine the effects of the independent variables paddy production cost, grain price, and rice distribution on the dependent variable, namely rice prices at the consumer level. Secondary data were obtained from the Central Statistics Agency (BPS) and the Agricultural Data and Information System Center of the Ministry of Agriculture, covering 32 provinces over the 2017–2024 period. The analysis was conducted using the Random Effects Model (REM) with the assistance of EViews version 12 software. The results indicate that paddy production costs and grain prices have a positive and significant effect on rice prices, suggesting that increases in these two variables tend to drive rice prices upward. In contrast, rice distribution does not exert a significant influence on rice prices, indicating that logistics and distribution factors have not yet emerged as dominant determinants in rice price formation. These findings underscore the importance of government policies aimed at controlling production costs and stabilizing grain prices to ensure the affordability of rice for consumers
Pengaruh Indeks Produksi Industri, BI Rate, dan Dana Pihak Ketiga Terhadap Penyaluran Kredit Perbankan di Indonesia Tahun 2016-2024 Amelia, Ira; Wiralaga , Harya Kuncara; Dianta A.S, Karuniana
Jurnal Ilmiah Ekonomi dan Manajemen Indonesia Vol. 2 No. 1 (2026): JANUARI -JUNI
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/7nbh0k67

Abstract

This study aims to analyze the effect of the Industrial Production Index (IPI), BI Rate, and Third-Party Funds (DPK) on bank credit distribution in Indonesia. This research employs a quantitative approach using the Autoregressive Distributed Lag (ARDL) method. The data used are monthly secondary data from 2016 to 2024 obtained from Bank Indonesia, the Financial Services Authority (OJK), the Central Bureau of Statistics (BPS), and CEIC Data. The ARDL method is applied to examine both short-run and long-run relationships among variables. The results show that in the long run, the Industrial Production Index (IPI) has a positive and significant effect on bank credit distribution, while the BI Rate and Third-Party Funds (DPK) do not have a significant effect. In the short run, Third-Party Funds (DPK) significantly affect credit distribution, whereas the Industrial Production Index (IPI) and BI Rate are not significant. These findings indicate that in the long term, credit distribution is driven more by real sector demand, while in the short term it is influenced by banking liquidity conditions. This study is expected to contribute to the development of economic knowledge, particularly in banking and monetary policy, and to serve as a reference for policymakers and banking institutions in formulating strategies to enhance sustainable credit distribution.