@misc{eprints75485,
           month = {September},
           title = {PENGARUH FINANCIAL TECHNOLOGY (FINTECH), TINGKAT SUKU
BUNGA, DAN NILAI TUKAR TERHADAP INFLASI DI INDONESIA },
          author = {KEVINSKY L TOBING AXEL JOENATHAN},
         address = {UNIVERSITAS LAMPUNG },
       publisher = {FAKULTAS EKONOMI DAN BISNIS },
            year = {2022},
             url = {http://digilib.unila.ac.id/75485/},
        abstract = { 
The purpose of this research is to analyze the effect of financial technology,
interest rates and exchange rates on inflation in Indonesia. The data used is time
series data from April 2016 to July 2022 in East Rawajitu District. The variables
used are inflation, financial technology, interest rates, and exchange rates. The
analysis tool used is a simple regression, namely the Error Correction Model
(ECM). The results of the study show that financial technology has a negative and
significant effect on inflation in Indonesia, while interest rates and exchange rates
have a positive and significant effect on inflation. The government is able to
control the inflation rate by carrying out policies that can affect inflation such as
interest rates, dollar exchange rates and Fintech.


Keywords: Error Correction Model (ECM), Exchange Rates, Financial 
Technology, Inflation, and Interest Rates.


ABSTRAK
 

Tujuan penelitian untuk menganalisis pengaruh financial technology, tingkat suku
bunga, dan nilai tukar terhadap inflasi di Indonesia. Data yang digunakan
merupakan data time series dari bulan April 2016 sampai Juli 2022 di Kecamatan
Rawajitu Timur. Variabel yang digunakan adalah inflasi, financial technology,
tingkat suku bunga, dan nilai tukar. Alat anaalisis yang digunakan adalah regresi
sederhana yaitu Error Correction Model (ECM). Hasil penelitian menunjukkan
bahwa financial technology berpengaruh negatif dan signifikan terhadap Inflasi di
Indonesia, sedangkan tingkat suku bunga dan nilai tukar berpengaruh positif dan
signifikan terhadap inflasi. Pemerintah mampu mengendalikan tingkat inflasi
dengan cara melakukan kebijakan-kebijakan yang dapat mempengaruhi inflasi
tersebut seperti contohnya suku bunga, kurs dollar dan Fintech.


Kata Kunci: Error Correction Model (ECM), Financial Technology, Inflasi, 
Tingkat Suku Bunga, dan Nilai Tukar }
}