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THE INFLUENCE OF GROWTH OF MICRO SMALL AND MEDIUM ENTERPRISES (UMKM) AND UNEMPLOYMENT ON GROWTH INDONESIAN ECONOMY Reza Juanda; Mity Risky; Rico Nur Ilham
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 3 No. 1 (2023): February
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v3i1.675

Abstract

This study aims to determine the influence of MSMEs (Micro, Small and Medium Enterprises), and unemployment on economic growth in Indonesia. In this study it was taken only 15 years. This research uses quantitative research methods. This research model uses multiple linear regression. The results of the study Partially the growth of Micro, Small and Medium Enterprises (MSMEs) has a negative and significant effect on Indonesia's Economic Growth. While unemployment has a negative and significant effect on Indonesia's growth. Simultaneously the Growth of Micro, Small and Medium Enterprises (MSMEs) and Unemployment have a positive and significant effect on Indonesia's Economic Growth. The magnitude of the influence of the variables Micro, Small or Medium Enterprises (MSMEs) and unemployment on Indonesia's Economic Growth is 60, 92%. While the rest is influenced by other variables outside the model of 39.08%.
THE INFLUENCE OF INFLATION, GOVERNMENT SPENDING AND UNEMPLOYMENT RATE ON ECONOMIC GROWTH IN INDONESIA, 2001-2021(PUBLIC SECTOR CASE STUDY) Reza Juanda
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 1 No. 2 (2021): December
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v1i2.774

Abstract

This study aims to examine the effect of inflation, government spending, and the unemployment rate on economic growth in Indonesia. The data used in this research is secondary data. The population in this study was 34 provinces using a saturated sample technique. The data analysis method in this study uses multiple linear regression analysis with panel data. The results showed that partial inflation and government spending had a positive and significant effect on economic growth in Indonesia, while the unemployment rate had a negative and significant effect on economic growth in Indonesia. Simultaneously inflation, government spending, and the unemployment rate had a positive and significant effect on economic growth in Indonesia.
DIGITAL ASSET INVESTMENT POLEMIC IN INDONESIA FROM AN ISLAMIC PERSPECTIVE Rico Nur Ilham; Arliansyah; Reza Juanda; Irada Sinta; Muhammad Multazam; Frengki Putra Ramansyah
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 4 No. 4 (2024): August
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v4i4.1949

Abstract

Cryptocurrency is one of the investment commodities that can generate returns and already has a permit to be traded in exchange trading through the Indonesian Commodity Futures Trading Supervisory Agency (BAPEPTI). Digital crypto assets traded in Indonesia are quite a lot through the Indodax trading company. The purpose of this study is focused on formulating a risk management process in investing in digital cryptocurrency assets. In addition, the results of this study will produce policy recommendations known as LCTR or "Legal Cryptocurrency and Tax Revenue" which are expected to be considered by the government in formulating policies on digital crypto assets so that the interests of all parties can be accommodated in order to realize maximum state revenue from trading digital crypto asset commodities. This type of research is quantitative descriptive with a research population of 10 cryptocurrency coins with the largest market caps in Indonesia, namely Cryptocurrency Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), Bitcoin Cash (BCH), Litecoin (LTC) , Stellar, DASH, Dogecoin, Zcash, Monero in Indonesia. The type of data in this study is time series data taken from January 2017 to December 2020 by conducting a documentation study conducted on the publication of monthly cryptocurrency transaction reports, so that a target population of 480 (4 years x 12 months x 10 coins) monthly report data was obtained for the research sample. The data analysis method in this study uses multiple linear regression and data analysis using e-views statistical software version 10.