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The Impact of Monetary Policy on the Industry Sector in Indonesia Henny Medyawati; Muhamad Yunanto
Jurnal Ekonomi dan Studi Pembangunan Vol 13, No 2 (2021)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um002v13i22021p159

Abstract

Several studies show that there is a relationship between monetary policy and industrial sector output. The main objective of this research is to analyze the impact of monetary policy on the industrial sector. The appropriate model for time series data that is not stationary is the Vector Error Correction Model (VECM). This study involved quarterly data during 2010 to 2019 from Central Bank of Indonesia (BI) and Statistics Indonesia (BPS). The empirical results indicate that the industrial sector has a positive response to the shock of the BI interest rate variable. On the other hand, the industrial sector gave a negative response to shocks from the consumer price index variable and the BI interest rate. The results of the variance decomposition show that the largest percentage contribution is shown by the inflation variable as measured by the Consumer Price Index (CPI) and Foreign Direct Investment (FDI). Keywords: BI rate, Monetary policy, Industry sector, VECMJEL Classification E52, E58
Determinant of Import in Indonesia Muhamad Yunanto; Henny Medyawati
Jurnal Ekonomi dan Studi Pembangunan Vol 17, No 2 (2025)
Publisher : Universitas Negeri Malang

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

Abstract

Trade activities such as imports are a research theme that remains interesting to research. This research was conducted to analyze the effect of inflation, Gross Domestic Products (GDP), Bank Indonesia interest rate (BI rate) and exchange rates for Indonesian imports. This study used quarterly time series data from 2010-2022 from Bank Indonesia and the Central Bureau of Statistics, using the Vector Error Correction Model (VECM) as the estimation tool. The main finding was that, in the short run GDP and inflation has no impact on the import. However, Birate and exchange rate variable has a positive and significant impact on the import. In the long run, the results show that the variables, GDP and BI rate have positive and significant on imports. The main contribution of this research is the use of interest rates (Birate-BI7 Day Reverse Repo Rate) to predict imports which has not been widely used by researchers in Indonesia
PENGARUH CUSTOMER TRUST DAN PERCEIVED USEFULNESS TERHADAP KEPUTUSAN MENGGUNAKAN APLIKASI BANK DIGITAL DENGAN DIMEDIASI BEHAVIORAL INTENTION Kothan, Mariana Roe; Yunanto, Muhamad
Bisnis-Net Vol 9, No 1: MEI 2026
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/bn.v9i1.8630

Abstract

This research aims to analyze the influence of customer trust and perceived usefulness on the usage decision of SeaBank digital banking application, with behavioral intention as a mediating variable. The background of this research is the rapid development of digital banking services in Indonesia, especially the SeaBank application, but the adoption rate is not always linear with the growth of internet users. The research method uses a quantitative approach with a survey of 150 SeaBank customers in the Jabodetabek area. Data were analyzed using Structural Equation Modeling (SEM-PLS). The results showed that customer trust has a positive and significant effect on behavioral intention, while perceived usefulness does not have a significant effect on behavioral intention. Customer trust and perceived usefulness have a positive and significant effect on the usage decision of the SeaBank application. Behavioral intention was proven to mediate the influence of customer trust on the usage decision, but it does not mediate the influence of perceived usefulness on the usage decision. This research provides theoretical implications in the development of technology adoption models and practical implications for SeaBank management in increasing user loyalty.