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Journal : Media Ekonomi

DETERMINASI INDEKS HARGA SAHAM GABUNGAN DI BURSA EFEK INDONESIA Ezra Sihombing; Budi Santosa
Media Ekonomi Vol. 22 No. 3 (2014): Desember
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.604 KB) | DOI: 10.25105/me.v22i3.3200

Abstract

Capital market in Indonesia is an emerging markets which in its development is very vulnerable to macroeconomic conditions in general. There are many macro variables that affecting the fluctuation of Jakarta composite index (JCI). So, the researcher are interested to search the factors affecting the Jakarta composite index (JCI) in Indonesia stock exchange (IDX). The purpose of this research is to analyze the relationship between four macroeconomic variables: BIRATE, INFLATION, MONEY SUPPLY, and EXCHANGE RATE against JAKARTA COMPOSITE INDEX . The data for assessing this research are acquired from monthly data from January 2000 to December 2012 report by Bank Indonesia. This research uses ordinary least square (OLS) to see any indication of relationship. This study also use a Classical Assumptions test and Goodness of Fit test to detect the significance of the data for further analysis .The research shows that there is no effect from BIRATE and INFLATION to influence JAKARTA COMPOSITE INDEX (JCI). It’s means that anticipated macro variables can’t be used to predict the movement of the JCI. While, MONEY SUPPLY and EXCHANGE RATE variable has significant effect on the movement of the JCI. This implies that in MONEY SUPPLY and EXCHANGE RATE is a good indicator for predicting the movement of the JCI.
PENGARUH EKONOMI INDUSTRI MAKANAN DAN MINUMAN DI INDONESIA TAHUN 2009–2013 Irma Wijiati; Budi Santosa
Media Ekonomi Vol. 23 No. 1 (2015): April
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.178 KB) | DOI: 10.25105/me.v23i1.3295

Abstract

Food and beverage industry in Indonesia are rapidly followed by the times. To know the development of the food and beverage industry can be seen from market structure, industry concentration and market share in the food and beverage industry in the market firms in Indonesian food and beverage sales. Results based on the total concentration ratio (CR4) is high enough, means that the market structure in the food and beverage industry in 2009-2013 belong in a tight oligopoly. The company with the largest market share in 2009-2013 is PT. Mayora Indah Tbk, PT. Multi Bintang Tbk, PT. Ultra Jaya Milk Industry and Trading Company, Tbk, PT. Tiga Pilar Sejahtera Food Tbk. In the other side, based on the Herfindahl Hirschman Index (IHH), food and beverage industry competition in Indonesia is competitive with high concentration and not competitive. This encourages each behaviour of the companies to undertake strategies against competitors, conduct promotions and innovations. To improve the performance of food and beverage companies to increase sales
FAKTOR-FAKTOR YANG MEMPENGARUHI AGLOMERASI DI KABUPATEN BANDUNG BARAT Budi Santosa; Shafira Putri Salsabila; Soeharjoto Soeharjoto
Media Ekonomi Vol. 27 No. 2 (2019): Oktober
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (250.085 KB) | DOI: 10.25105/me.v27i2.6260

Abstract

The aim of this study is to analysis factors that affect the Agglomeration at West Bandung Regency in 14 districts. This study uses panel regression analysis with the help of Eviews analysis 9. The data used in this research is the growth of the GDP data, the human development index and the number of inhabitants of the 14 Subdistricts in 2014 to 2016 period (42 observations). The results show that economic growth has no effect the agglomeration, while the human development index and  population has a positive effect on agglomeration. From the results obatained, there are 3 sub districts that have perfectly impact of Agglomeration. The sub districts are Lembang, Ngamprang and Padalarang. 
DETERMINAN SUKU BUNGA DASAR KREDIT (SBDK) SEKTOR KORPORASI PADA BANK BUKU 4 Budi Santosa; Erny Tajib; Jihad Ihsan Ramadan
Media Ekonomi Vol. 30 No. 2 (2022): Oktober
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/me.v30i2.15072

Abstract

This study aims to determine the factors that determine the Prime lending Rate (SBDK) in the Corporate Sector at Bank BUKU 4. In this study, the researchers used these variables from seven Book 4 banks for the 2015-2019 Period in the case of the corporate sector prime lending rate. Therefore, this research data is panel data obtained from the Indonesian Banking Statistics (SPI) published by BI. Data processing is carried out using the Econometric Model of Panel Data Regression Analysis and Eviews 9.0 as processing instruments. Based on the results of data processing, it was found that the model used was Fixed Effect with the ability of independent variables (liquidity, capitalization, lending out ratio, credit risk, and efficiency) to be able to explain the dependent variable prime lending rate (SBDK) of 56.05%. However, the regression coefficient shows that only NPL and BOPO have a significant effect on the SBDK. In other words, only the level of bad loans and banking efficiency have a significant effect on the prime lending rate.
DETERMINAN SUKU BUNGA DASAR KREDIT (SBDK) SEKTOR KORPORASI PADA BANK BUKU 4 Budi Santosa; Erny Tajib; Jihad Ihsan Ramadan
Media Ekonomi Vol. 30 No. 2 (2022): Oktober
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/me.v30i2.15072

Abstract

This study aims to determine the factors that determine the Prime lending Rate (SBDK) in the Corporate Sector at Bank BUKU 4. In this study, the researchers used these variables from seven Book 4 banks for the 2015-2019 Period in the case of the corporate sector prime lending rate. Therefore, this research data is panel data obtained from the Indonesian Banking Statistics (SPI) published by BI. Data processing is carried out using the Econometric Model of Panel Data Regression Analysis and Eviews 9.0 as processing instruments. Based on the results of data processing, it was found that the model used was Fixed Effect with the ability of independent variables (liquidity, capitalization, lending out ratio, credit risk, and efficiency) to be able to explain the dependent variable prime lending rate (SBDK) of 56.05%. However, the regression coefficient shows that only NPL and BOPO have a significant effect on the SBDK. In other words, only the level of bad loans and banking efficiency have a significant effect on the prime lending rate.