Pengaruh Jumlah Uang Beredar dan Tingkat Suku Bunga serta Pengeluaran Pemerintah terhadap Inflasi di Indonesia

Agusmianata, Nuri; Militina, Theresia; Lestari, Diana

doi:10.29264/jfor.v19i2.2125

Cited by 15 publications

(22 citation statements)

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“…Selain itu hasil studi oleh Nguyen (2015) terkait inflasi dan jumlah uang beredar yang menyatakan total penawaran jumlah uang beredar (M2) memiliki hubungan yang searah dan signifikan berpengaruh dengan inflasi. Afrizal (2018), Bawono (2019), Agusmianata et al (2018) juga mengatakan ada hubungan yang searah antara jumlah uang beredar dan inflasi yaitu ketika jumlah uang beredar meningkat akan mendorong terjadinya inflasi. Sedangkan hasil Basorudin et al (2019), Odusanya dan Atanda (2010) menyimpulkan tidak adanya pengaruh yang terjadi diantara jumlah uang beredar dengan inflasi baik dalam efek jangka panjang dan jangka pendek.…”

Section: Pendahuluanunclassified

“…Menurut teori kuantitas uang, inflasi muncul ketika jumlah uang yang ada dinmasyarakat meningkat. Inflasi akan berhenti dengan sendirinya jika peredaran dari uang tidak bertambah, maka untuk menanggulangi inflasi dimulai dengan mengatur banyaknya uang yang beredar di masyarakat (Agusmianata et al, 2018). Permintaan barang di masyarakat yang terlalu besar disebabkan oleh adanya peningkatan pendapatan masyarakat, dengan meningkatnyaapendapatan maka memudahkan masyarakat untuk berbelanja barang sehingga permintaan akan barang meningkat dan menimbulkan inflasi.…”

Section: Pembahasanunclassified

“…Maka dari itu Bank Indonesia selaku otoritas moneter dapat menerapkan kebijakan moneter yang ekspansif dengan cara menurunkan tingkat suku bunga Bank Indonesia yang bertujuan untuk mendorong dari kegiatan perekonomian yang ada (Silaban et al, 2021). Hal ini didukung oleh penelitian dari Hariyanti dan Soekapdjo (2020), Widiarsih dan Romanda (2020), Suprihati (2017), Agusmianata et al (2018) yang menyatakn tingkat sukubunga memiliki koefisien regresi positif dan signifikan dalam mempengaruhi inflasi. Dijelaskan, kenaikan BI rate akan menaikkan permintaan barang dan jasa sehingga menyebabkan harga naik karena penawaran dari barang dan jasa tetap.…”

Section: Pembahasanunclassified

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Variabel-variabel yang Mempengaruhi Inflasi di Indonesia

Anggraeni

Dwiputri²

2022

JEP

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Inflation is one of the economy's most important indicators and an economic challenge that is a concern for developing countries such as Indonesia. This study aims to analyze the influence of several variables that are suspected of having an influence on inflation in Indonesia. The independent variables include the money supply, BI rate, exchange rate, Gross Domestic Product, and imports. Data were obtained from the Bank Indonesia and Badan Pusat Statistik (BPS) from 2010 to 2020. This study uses the Error Correction Model (ECM) to determine the effect of the independent variables in the short and long term. The study concluded that the money supply had a positive but not significant effect in the short term, but in the long term had a significant effect on inflation. The BI and exchange rates have a significant and positive effect on long-term and short-term inflation. Gross Domestic Product does not have a significant positive effect on inflation in both the long and short term. Imports show a positive but not significant with inflation in the long and short term.

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Section: Pendahuluanunclassified

Section: Pembahasanunclassified

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Variabel-variabel yang Mempengaruhi Inflasi di Indonesia

Anggraeni

Dwiputri²

2022

JEP

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“…Therefore, in the research using other funding than from APBN FSM Undip, the researcher carried out a biresponses data modeling of inflation and economic growth of Central Java Province using kernel method. This research employed interest rate as a predicting factor since the interest rate variable had a significant impact on inflation (Agusmianata et al 2017), and interest rate positively and significantly influenced the economic growth of Indonesia (Fahrika 2016). Using multiple regression modeling, it was revealed that there were specific relations among inflation, interest rate, and Indonesia's economic growth of the period 2005-2015.…”

Section: Introductionmentioning

confidence: 99%

Biresponses Kernel Nonparametric Regression: Inflation and Economic Growth

Suparti

Warsito

Santoso

et al. 2020

Int. J. Criminol. Sociol.

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The relation between inflation and economic growth is interesting to observe. To maintain the inflation rate, two factors should be taken into account, namely keeping the economic pulse at its optimal rate and keeping people's purchasing power from decreasing. Many factors influence the inflation and economic growth of a nation; one of which is the national bank interest rate. Since the data of inflation are closely related to economic growth, this study aims at modelling the data of inflation rate and economic growth of Central Java Province in Indonesia using bi-response kernel regression. Employing the data from the first trimester of 2007 up to those from the second trimester of 2019 which were processed using kernel Gauss, the best model to minimise the value of GCV was obtained with optimum h for inflation model amounting to 0.12 and 81.75 for economic growth model. The model performance was excellent because the MAPE out sample was less than 10%. The biresponses kernel model is better than the linear biresponses model in terms of GCV, MSE, R2, and MAPE values.

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“…There are several factors to affect inflation and economic growth in a region or a country. According to Agusmianata, et al (2017), the variable interest rate has a significant influence on inflation and according to Fahrika (2016), the interest rate has a positive and significant effect on economic growth in Indonesia. The use of multiple regression modeling demonstrates a relationship between inflation and interest rates on Indonesia's economic growth in the period 2005-2015.…”

Section: Introductionmentioning

confidence: 99%

Modeling Central Java Inflation and GRDP Rate Using Spline Truncated Birespon Regression and Birespon Linear Model

Suparti

Prahutama

Rusgiyono

et al. 2019

Medstat

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Inflation and Gross Regional Domestic Income (GRDP) are two macroeconomic variables of a region that are correlated with each other. GRDP prices constant (real) can be used as an indicator of economic growth in a region from year to year. Inflation is calculated from the CPI rate and economic growth is calculated from the GRDP rate. Inflation and economic growth in an area are influenced by several factors including bank interest rates. Analysis of data consisting of 2 correlated responses can be performed with birespon regression analysis. In this research, modeling of inflation data and the rate of GRDP through birespon data modeling uses spline truncated nonparametric method and birespon linear parametric method. The purpose of this study is to model inflation data and the Central Java GRDP rate using spline truncated birespon regression. The results are compared with the birespon linear regression model. By using quarterly data from the first quarter of 2007 - the second quarter of 2019, the spline truncated model is better than the linear model, because the spline truncated model has a smaller MSE and R2 is greater than the linear model. Both models have the same performance which is quite good.

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Pengaruh Jumlah Uang Beredar dan Tingkat Suku Bunga serta Pengeluaran Pemerintah terhadap Inflasi di Indonesia

Cited by 15 publications

References 0 publications

Variabel-variabel yang Mempengaruhi Inflasi di Indonesia

Variabel-variabel yang Mempengaruhi Inflasi di Indonesia

Biresponses Kernel Nonparametric Regression: Inflation and Economic Growth

Modeling Central Java Inflation and GRDP Rate Using Spline Truncated Birespon Regression and Birespon Linear Model

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