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ANALISIS PENGARUH CASHLESS PAYMENT TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA

MAULIDA, RIKA (2023) ANALISIS PENGARUH CASHLESS PAYMENT TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA. S1 thesis, UNIVERSITAS SULTAN AGENG TIRTAYASA.

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Abstract

Gross Domestic Product (GDP) plays a central role in the development efforts of a country, and one of the key factors influencing economic growth is technology. The rapid advancement of technology and the shift towards non-cash or cashless payment transactions have significantly impacted the financial landscape. This journal discusses the influence of cashless payment, comprising ATM/Debit, Credit Card, and E-Money transactions, on the economic growth in Indonesia, along with other macroeconomic variables such as the benchmark interest rate and inflation. The Vector Error Correction Model (VECM) is employed as the methodology, using quarterly data from the period 2012Q1-2022Q4. The results of this study indicate that only the variables LNPDB (natural logarithm of GDP) and Credit Card exhibit long-term relationships with LNPDB, while in the short term, E-Money has a significant positive effect on LNPDB, whereas SBI (benchmark interest rate) and Inflation have significant negative effects on LNPDB.

Item Type: Thesis (S1)
Contributors:
ContributionContributorsNIP/NIM
Thesis advisorHERLINA, DESWITA197012162003122001
Thesis advisorCAHAYA SUCI, STANNIA199104202019032020
Additional Information: Produk Domestik Bruto memainkan peran sentral dalam upaya pembangunan suatu negara salah satu faktor utama yang mempengaruhi pertumbuhan ekonomi adalah teknologi. Perkembangan teknologi yang semakin pesat dan perubahan pola transaksi keuangan yang semakin menuju kepada transaksi non-tunai atau cashless payment. Dalam jurnal ini akan dibahas pengaruh cashless payment yang terdiri dari transaksi ATM/Debit, Credit Card, dan E-Money terhadap pertumbuhan ekonomi di Indonesia yang serta variabel makroekonomi lainnya yakni suku bunga acuan dan inflasi. Metode yang digunakan adalah Vector Error Correction Model (VECM) dengan data quartal periode 2012Q1-2022Q4. Hasil dari penelitian ini menunjukan bahwa hanya variabel LNPDB dan Credit card yang memiliki hubungan jangka panjang terhadap LNPDB, sedangkan dalam jangka pendek variabel E-Money signifikan positif terhadap LNPDB, SBI dan Inflasi signifikan negatif terhadap LNPDB.
Uncontrolled Keywords: Cashless Payment, GDP, Vector Error Correction Model (VECM) Cashless Payment, PDB, Vector Error Correction Model (VECM)
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HB Economic Theory
H Social Sciences > HC Economic History and Conditions
Divisions: 05-Fakultas Ekonomi dan Bisnis
05-Fakultas Ekonomi dan Bisnis > 60201-Program Sarjana Ilmu Ekonomi Pembangunan
Depositing User: Rika Maulida
Date Deposited: 31 Jul 2023 11:51
Last Modified: 31 Jul 2023 11:51
URI: http://eprints.untirta.ac.id/id/eprint/27420

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