Muhammad Alhasymi Matondang
Universitas Negeri Medan

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Multiple Correlation Analysis of the Number of E-Commerce Entrepreneurs, Digital Literacy, and GDP per Capita on E-Commerce Transaction Value in Indonesia in 2020–2023 Loranty Folia Simanjuntak; Shintami Oktavia; Anggi Pratiwi Sitorus; Muhammad Alhasymi Matondang
Outline Journal of Economic Studies Vol. 4 No. 2: June-September 2025
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/yp6f4c72

Abstract

This study aims to evaluate the relationship between the number of e-commerce entrepreneurs, digital literacy level, and GDP per capita on the e-commerce transaction value in Indonesia from 2020 to 2023. The approach used in this research is multiple correlation analysis, using secondary data obtained from BPS, the Ministry of Communication and Information Technology, and the Indonesian E-Commerce Association (idEA). The findings of this study indicate that all three independent variables have a very strong relationship with the e-commerce transaction value, evidenced by an R² value of 1.000 which shows that 100% of the variance in transaction value can be explained by the combination of these three variables. In separate analysis, GDP per capita has the most significant impact (97.5%), followed by digital literacy (93.1%), and the number of e-commerce entrepreneurs (80.9%). This result indicates that the development of the digital economy in Indonesia is greatly influenced by the purchasing power of the community, understanding of digital technology, and the presence of online business actors.
The Impact of Digitalization of Payment Systems on Inflation Stability in Indonesia Shintami Oktavia; Loranty Folia Simanjuntak; Muhammad Alhasymi Matondang; Richna Handriyani
Outline Journal of Economic Studies Vol. 4 No. 2: June-September 2025
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/s8fkj958

Abstract

This study aims to analyze the impact of payment system digitization on inflation stability in Indonesia during the period 2015 - 2024 using a qualitative approach. The main focus of this research is to examine how digital transformation in the payment system, especially through the use of e-money, QRIS, debit cards, and credit cards can contribute to changes in transaction patterns in society and its implications for the inflation rate. Digital transformation in the national payment system, such as the increasing use of QRIS, e-money, and other non-cash payment methods has changed people's transaction behavior and strengthened the effectiveness of inflation control policies. Digitalization accelerates transaction efficiency, lowers the amount of distribution costs, and expands financial inclusion. It also collectively contributes to price stability. However, there are challenges such as digital infrastructure gaps and financial literacy that still need to be improved, so that the benefits of digitalization can be used by many people as users. The results of this study confirm that the digitization of payment systems is a strategic instrument in maintaining Indonesia's macroeconomic stability, as long as there is synergistic policy support and continuous education.
The Effect of Life Expectancy, Open Unemployment Rate, and Government Spending in The Education Sector on The Human Development Index in North Sumatra Province, Indonesia Hasymi, Muhammad Alhasymi Matondang; Muhammad Abdi; Fahmi Apriyansyah Siregar; Runggu Sihombing; Jonathan Brando Saragi; Nadia Enjel Lina Silalahi
Outline Journal of Economic Studies Vol. 4 No. 2: June-September 2025
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/gceqet48

Abstract

This study aims to analyze the effect of Life Expectancy Rate (AHH), Open Unemployment Rate (TPT), and Government Expenditure in the Education sector on Human Development Index (HDI) in North Sumatra Province in the period 2010-2024. This research uses a quantitative approach with a literature study method. The data used is secondary time series data obtained from the publication of Badan Pusat Statistik (BPS). The analysis technique used is multiple linear regression with the help of E-Views 10 software. Tests were carried out through the classical assumption test, the coefficient of determination test, the simultaneous F test, and the partial t test. The results showed that simultaneously the three independent variables had a significant effect on HDI. Partially, AHH and government spending in the education sector have a positive and significant effect on HDI, while TPT has a negative and significant effect. The Adjusted R-squared value of 0.985 indicates that the model is able to explain 98.5% of the variation in HDI. This finding confirms that improving the quality of health, reducing unemployment, and investing in the education sector are important factors in supporting sustainable human development in North Sumatra Province.
Pengaruh Angka Harapan Hidup, Tingkat Pengangguran Terbuka, dan Pengeluaran Pemerintah di Sektor Pendidikan Terhadap Indeks Pembangunan Manusia di Sumatera Utara Tahun 2010-2024 Matondang, Muhammad Alhasymi; Abdi, Muhammad; Siregar, Fahmi Apriyansyah; Sihombing, Runggu; Saragi, Jonathan Brando; Silalahi, Nadia Enjel Lina
Journal Economy and Currency Study (JECS) Vol. 7 No. 2 (2025): IN PRESS
Publisher : Pusdikra Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/jecs.v7i2.3014

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh dari variabel Angka Harapan Hidup (AHH), Tingkat Pengangguran Terbuka (TPT), dan Pengeluaran Pemerintah (PP) di sektor Pendidikan terhadap Indeks Pembangunan Manusia (IPM) di Provinsi Sumatera Utara pada periode 2010–2024. Penelitian ini menggunakan pendekatan kuantitatif dengan metode studi kepustakaan. Data yang digunakan merupakan data sekunder time series yang diperoleh dari publikasi Badan Pusat Statistik (BPS) provinsi Sumatera Utara. Teknik analisis yang digunakan adalah regresi linier berganda dengan bantuan software E-Views 10. Pengujian dilakukan melalui uji asumsi klasik, uji koefisien determinasi, uji F simultan, dan uji t parsial. Hasil penelitian menunjukkan bahwa secara simultan ketiga variabel independen (AHH, TPT dan PP) berpengaruh signifikan terhadap Indeks Pembangunan Manusia (IPM). Secara parsial, Angka Harapan Hidup (AHH) dan Pengeluaran Pemerintah (PP) di sektor pendidikan berpengaruh positif dan signifikan terhadap Indeks Pembangunan Manusia (IPM), sedangkan Tingkat Pengangguran Terbuka (TPT) berpengaruh negatif dan signifikan. Nilai Adjusted R-squared sebesar 0,985 menunjukkan bahwa model mampu menjelaskan 98,5% variasi IPM. Temuan ini menegaskan bahwa peningkatan kualitas kesehatan, pengurangan pengangguran, dan investasi pada sektor pendidikan merupakan faktor penting dalam mendukung pembangunan manusia yang berkelanjutan di Provinsi Sumatera Utara.