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Analytics

Asri Meilandari

Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN) 2025 FEB Universitas Maritim Semarang

This research aims to systematically analyze the causes, impacts, and strategies for addressing economic recessions through the Systematic Literature Review (SLR) method. Using the PRISMA guidelines, this study identifies and synthesizes scientific literature from 2020 to 2025 that discusses economic recessions in both global and national contexts. The study results show that the economic recession is triggered by various factors such as high inflation, energy crises, global pandemics, and geopolitical tensions. The impact extends to the labor sector, the business world, and the social conditions of society, particularly on MSMEs and vulnerable groups. Effective strategies for facing a recession include coordinated fiscal and monetary policies, strengthening the domestic economy, as well as technology-based innovation and multisector collaboration. These findings provide a conceptual foundation for formulating adaptive economic policies in facing future economic crises.

Fajri, Khoirul

Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN) 2024 FEB Universitas Maritim Semarang

This study models the inflation rate in Sumatra using Generalized Linear Models (GLM) with Gamma and Negative Binomial distributions. The data includes inflation rates, Consumer Price Index (CPI), poverty rates, and employment sectors from the 2019 BPS report. The results show that the Gamma model performs better in predicting inflation compared to the Negative Binomial model, with a lower AIC value and smaller residual deviance. The CPI variable significantly influences inflation, while other variables are not significant.

Al Rizal Sandi; Aditya Wahyu Pramana; Ahmad Nabih Taqiyuddin; Moh. Nuril Islam Abdillah

Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN) 2023 FEB Universitas Maritim Semarang

This study aims to determine the effect of independent variables (Foreign Exchange Reserves, Foreign Direct Investment, Inflation Rate, and Interest Rate) on the dependent variable (Import Value) in Indonesia for the last five years. This study uses quantitative analysis with descriptive methods used to obtain empirical evidence of the effect of Foreign Exchange Reserves (X1), Foreign Direct Investment (X2), Inflation Rate (X3), Interest Rate (X4), and Import Value (Y). Panel data regression analysis was used with a significance level of 5%. The results showed that the variables of Foreign Exchange Reserves, Foreign Direct Investment, Inflation Rate, and Interest Rate had no significant effect on Import Value in Indonesia. Foreign Exchange Reserves, Foreign Direct Investment, Inflation Rate, and Interest Rate simultaneously have a significant effect on Import Value in Indonesia.

Mardhika, Sabda Maheswara; Persada, Hanifa Nada; A’rifa, Maulina Maalak

Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN) 2023 FEB Universitas Maritim Semarang

This research is motivated by a phenomenon. As this phenomenon and previous studies present different research gaps and have been conducted for quite some time, further studies are needed to test the consistency of the results of previous studies and also to revisit existing research gaps. is needed.The focus of my research in writing this journal is how monetary policy has a material impact on Indonesia's Islamic commercial bank lending products and how the inflation rate has a material impact on Indonesia's Islamic commercial bank lending products and the magnitude of the impact of monetary policy. Monetary Policy Politics and inflation rates in the Indonesian economy. The data used in this study are secondary data. Secondary data is research data obtained indirectly (acquired and recorded by others) through an intermediary medium. Secondary data for this study were obtained from the Indonesian Stock Exchange (IDX) Islamic Commercial Bank Listed Companies Annual Reports, OJK Shariah Bank Statistical Financial Statements (SPS), and financial statements issued by Bank Indonesia. The analysis method used in this study is multiple regression analysis. The purpose of this regression analysis is to obtain a comprehensive picture of the relationship between the independent and dependent variables of each company's performance. Before running multiple linear tests, this method requires a classical assumption test for best results. SPSS software version 23 is used to process the data.