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PENGARUH FAKTOR MAKROEKONOMI DAN LIKUIDITAS TERHADAP YIELD CURVE OBLIGASI PEMERINTAH INDONESIA
Full text linkThe purpose of this study is to estimate the movement of the required yield curve as a reference to predict market expectations. The movement of the yield curve is caused by macroeconomics such as the BI rate, inflation, the money supply, the growth of the production index, foreign exchange reserves and foreign investor ownership. This study uses the help of a VAR (Vector Auto Regression) analysis tool or VECM (Vector Error Correction Model) using data from 2007:2-2016:3. The results of this study indicate that all variables both macroeconomic variables and liquidity variables provide a response to the yield curve of government bonds to long-term. In addition, this paper also explains that all variables both in macroeconomics and liquidity variables only have a small contribution to the yield curve but precisely the variable that makes the biggest contribution is the yield curv
PENGARUH JUMLAH UANG BEREDAR, KURS US DOLLAR DAN INDEKS HARGA KONSUMEN TERHADAP INDEKS HARGA SAHAM SEKTOR PERDAGANGAN DI BURSA EFEK INDONESIA
Full text linkThis study aims to determine the analysis of the influence of the Money Supply (M2), the USD Exchange Rate and the Consumer Price Index. The research methodology used is a quantitative method with time series data and data sources derived from secondary data obtained from the Indonesia Stock Exchange. The sampling technique uses purposive sampling method with monthly data and research period from January 2009 to December 2016. The data analysis technique used is multiple linear regressions. The results of this study indicate that partially the independent variable Amount of Money has a positive and significant effect on the Trading Sector Stock Price Index. While the independent variable USD Exchange Rate and Consumer Price Index has a negative and significant effect on the Trading Sector Stock Price Index. Meanwhile, simultaneously the independent variable consisting of Money Supply, the USD Exchange Rate and the Consumer Price Index together have a significant relationship to the dependent variable, namely the Trade Sector Stock Price Index
FINTECH PEER-TO-PEER LENDING SEBAGAI PELUANG PENINGKATAN UMK DI INDONESIA
Full text linkThis research was conducted to determine the effect of the factors driving MSEs in making loans to peer-to-peer lending companies. Factors that are considered by MSEs in seeking financial resources through peer-to-peer lending are loan processes, interest rates, loan processing costs, loan amounts, and loan application flexibility. These five factors will then be used as independent variables to see behavioral intentions and the actual use of a peer-to-peer lending platform. This research method uses Structural Equation Modeling (SEM) and WrapPLS 6.0 test equipment. The results of this study found that the loan process had no significant effect on behavioral intentions and other factors had a positive influence and the highest factor affected MSEs borrowing on this platform was the flexibility of loan applications. With the aspirations of MSEs, peer-to-peer lending companies in Indonesia can improve services so that business capital loan transactions increase and advance the economy of MSEs in Indonesia
DETERMINASI EKSPOR NON MIGAS INDONESIA KE JEPANG
Full text linkThis study aims to determine the factors that affect Indonesia's non-oil exports to Japan. The variables used are imports, exchange rates, per capita income, inflation and non-oil exports of Indonesia to Japan. The analytical method used is regression analysis with data used for quarterly time series data from 2005-2016. The results are variable imports of raw and auxiliary materials, cycles, inflation, real Japanese GDP, and the population is able to explain Indonesia's non-oil exports to Japan by 31.3 percent. Imports, exchange rates, per capita income and inflation have a positive and significant effect on non-oil and gas exports to Japan
Pengaruh Industrialisasi Terhadap Migrasi Per Propinsi di Indonesia Pada Tahun 2010
Full text linkoai:ojs.www.trijurnal.lemlit.trisakti.ac.id:article/6Tatik MariyantiFakultas Ekonomi Universitas TrisaktiEmail : [email protected] title of this paper is the impact of industriiaization to migration by provinces in Indonesia on 2010. Today in Indonesia, there are still excess number of workers in the agriculture sector. The various sources clearly show the labor transformation in Indonesia still occur. Where as this transformation is a logical consequences for the developing country that carrying out the economic development. This condition also indicate with the excess labor in the capital intensive sector that relevan to the industrialization process. The experiences in some provinces show that migration to the urban area is related by the industrialization. The people migrate to the urban area in order to fullfill the labor needs in the industrial sector, because job in the industrial sectorwill give more added value compare with other sector such as agriculture sector. This research will anlyze the impact of industrialization to the migration by provinces in 2010.Based on theory and previous findings we estimate that there is influence of industrial sector employment, and wage rate toward migration between provinces in 2010, This research conclude that the contribution of industrial sector in regional GDP have a positive effect toward inter-provincial migration, the industrial sector contribution to employment has a effect on migration, and minimum regional wage rate have positive affect the migration significant at 5%. This test use Eviews-4, with multiple linear regression model.Keywords : Industrial sector, gross domestic product, employment, regional wage and migratio
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI OUTSTANDING KREDIT UMUM PEDESAAAN (KUPEDES) PT BANK RAKYAT INDONESIA (PERSERO), TBK
Full text linkMost businesses in Indonesia are Micro, Small, and Medium Enterprises (MSME). MSMEhave a significant role on the economy. In banking sector, the credit financing in MSMEgives many benefits. This evidence pushes the demand of micro banking market. Fromthe moment it’s established, BRI who has a business focus in MSME through creditfinancing program which is Kupedes, should know the important factor that have to bemaintain to keep the growth of its credit finance. This research uses a multiple linearregression analysis to determine the influence of independent variables on dependentvariable. Independent variables in this research represented by Kupedes interest rate,Gross Domestic Product (GDP), number of BRI Units, and Kredit Usaha Rakyat (KUR)Program, while the dependent variable is reflected by outstanding Kupedes. The results ofthis study indicates that Kupedes interest rate, Gross Domestic Product (GDP), number ofBRI Units, and KUR program have significant influence on outstanding Kupedessimultaneously. In addition, Kupedes interest rate, GDP, and number of BRI Units alsohave significant influence on outstanding Kupedes partially, while KUR program has nosignificant influence on outstanding Kupedes partially
ANALISIS FAKTOR - FAKTOR YANG MEMPENGARUHI PERTUMBUHAN PRODUK DOMESTIK REGIONAL BRUTO ERA DESENTRALISASI FISKAL DI PROPINSI BANTEN PERIODE 2001:1-2009:4
Full text linkThe purpose of this study was to determine the factors that affect economic growth in the Province of Banten. This research was using the multiple linear regression analysis which is used to measured the pattern of the relationships between dependent variable and independent variables. The variable GRDP is a dependent variable and the independent variable are Income Original Region, General Allocation Fund, Fund Devide Result, Inflation, Foreign Investment, Domestic Investment, Government Spending and Labor. The estimation result of this model, showed that from 8 variables, there were 3 variables that insignificant which were inflation, foreign investment and domestic investment to influenced GRDP Province of Banten. Another five variables which were : Income Original Region, General Alocation fund, Fund Devide Result, Government spending and labour that significant to influenced GRDP. In the other hand, Goodness of fit of this model had a value of R² were 0,9867. From thismodel about 98,67% the Independent variables Income Original Region, GeneralAllocation Fund, Fund Devide Result , Inflation, Foreign Investment , DomesticInvestment, Government Spending and Labor expalained the relationship to GRDP of Banten. And about 1,32% will be explained by another variables that not obtained in this model
ANALISIS STRUKTUR PASAR INDUSTRI KARET DAN BARANG KARET PERIODE TAHUN 2009
Full text linkThe purpose of this research is to acknowledge and to analyze the marketingstructure in the industry of rubber and the product itself in Indonesia duringthe year of 2009. The industrial rubber and the product itself are expected toplay a vital role in escalating more employment opportunities as well as apositive economical growth. With the role stated above, one can cultivatesand presents a developing direction so that it can compete with otherindustrial sectors in the economic perspective.The data obtained will be a secondary data. The instruments that are used toanalyze the marketing structure would be CRn (the concentration of ratio n)and IHH (Herfindahl-Hirschman Index). Subsequently the marketing structureof the rubber industry and the rubber product itself in Indonesia will also beanalyzed descriptively. The data is obtained from BPS and the nation’s Ministryof Industry.By analyzing the marketing structure using the concentration ratio methodattained from the four of the largest companies in the market share (CR4),one can fabricate a conclusion regarding the marketing structure of therubber industry and the product in Indonesia during the year of 2009 to bededuced as an ol igopoly marketing structure
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI IMPOR BERAS DI INDONESIA PERIODE 2000:01 – 2009:04
Full text linkThis study aims to determine the efficiency levels of cigarettes industry in Indonesia. The analysis tools used in this study is the DEA (Data Envelopment Analysis) method of analysis. Expecially for the “Go Public” firms those are PT BAT Indonesia, PT Bentoel, PT Gudang Garam, PT HM Sampoerna. The research, used secondary data, from the Indonesian Capital Market Directory year 2006 - 2008. Variables used in the study consist of four input variables and two output variables. Its input variables consist of labor, Debt, Capital, and Total Asset, whiles its output variable consist of Net Sales and Gross Profit. The research results show that there only two companies that consistent to maintained the level of efficiency of 100% during the study, namely PT BAT Indonesia and PT HM Sampoerna. Meanwhile, two other companies show their performance levels efficiency have not stabillized during the study, namely PT Bentoel and PT Gudang Garam
ANALISIS EFISIENSI PERUSAHAAN TEKSTIL GO PUBLIK DENGAN MENGGUNAKAN METODE: DATA ENVELOPMENT ANALYSIS/DEA TAHUN 2004 - 2008
Full text linkThis research aims is to find out the efficiency level in Go Public Textile Company inIndonesia. This research is conducted through library research. The method of thisanalysis is called DEA (Data Envelopment Analysis). The data used in the research isthe secondary data which sources taken from Indonesia Stock Exchange in 2004 upto 2008. The variables used in this research consist of four input variables and twooutput variables. Input variable includes total assets, inventory, employees, andobligations, while output variables includes net sales and cost of good sold (COGS).The result of efficiency level examination to seven textile companies from 2004 up to2008 shows that only two companies maintain consistently 100% of the efficiencylevel during a year research. Three companies show that their efficiency levels werehaving the increasing and decreasing period each year. Two last textile companiesare claimed having an awful progress, since they never reach 100% efficiencyduring a year research. The most dominant input which influences the inefficiencyon textile companies is the inventor