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Development is a condition desired by every region or region. Development can come from any sector in the area. The agricultural sector is still the leading sector in the economy and is a sector that is relied upon in the source of income for the provision of jobs compared to other sectors. This makes the agricultural sector a very influential sector in the economy in Indonesia. This article was created with the aim of knowing how the agricultural sector is related to other sectors in Indonesia. The analysis used in this research is input-output analysis, using secondary data from the Indonesian Input-Output Table in 2010. The results of the study indicate that the addition to the agricultural sector has a positive impact in the form of additions to the sector itself and other sectors both in terms of sectoral output, household income, and employment opportunities.

The agricultural sector is one of the most important and strategic sectors for the economy in Indonesia. One of the indicators/measurements that can be used to assess farmer welfare is the Farmer's Exchange Rate. The purpose of this study was to determine the effect of harvested area, productivity and price of sugarcane on the welfare of farmers. The data used in this study are secondary data obtained from Statistics Indonesia (BPS) and PUSDATIN. The data analysis method used to determine the effect of harvested area, productivity, and sugarcane prices on the exchange rate of sugarcane farmers is regression analysis using the Ordinary Least Square method. This study found that the productivity variable harmed the welfare of sugarcane farmers for the period 2000-2017. At the same time, the variables of the harvested area and sugarcane prices positively affect the welfare of sugarcane farmers (NTP).

This study aims to analyze the effect of land area, fertilizer, and labor on cassava production in Argomulyo District, Salatiga City. This type of research is called quantitative research. The study was conducted in the Argomulyo District, Salatiga City. The population in this study were all farmers who planted cassava in the Argomulyo District of Salatiga City with rice fields, fields, and gardens. The research sample of 100 respondents was selected with random sampling techniques. Data collection techniques with a questionnaire. Data analysis techniques with multiple linear regression analysis and the classic assumption test. The results show that land area significantly affects cassava production in the Argomulyo District of Salatiga City. Fertilizer significantly affects cassava production in the Argomulyo District of Salatiga City. Labor has a significant effect on cassava production in Argomulyo District, Salatiga.

The purpose of this research is to find out the efficiency of Islamic Banking in 2015-2016 period. Samples both input and output from 4 Islamic Banking were used in this research included deposit, asset, personnel load, financing, and operational profit. Every changes of variable in that data can show the condition of Islamic Banking. The method uses in this research is called by Data Envelopment Analysis (DEA) with intermediation approach. The result shows that only Bukopin Islamic Banking and BNI Islamic Banking who have reached 100 percent efficiency during this research period. The highest inefficiency is experienced by Mandiri Islamic Banking. Mandiri Islamic Banking was insufficiency during this research period. Meanwhile, the BCA Islamic Banking underwent inefficiency three times in 2016

The purpose of this study is to analyze the efficiency level of Shari'ah People's Financing Bank (BPRS) in Surakarta City. The data used in this study is secondary data taken from www.ojk.co.id published by each Sharia Bank Financing (BPRS). This research uses input-output variable with Data Envelopment Analysis (DEA) method. The result of the research shows that in Quarter I - Quarter IV there is only one Sharia Bank Financing (BPRS) that experienced inefficiency. Based on the calculation using Data Envelopment Analysis (DEA), in Quarter II - Quarter IV BPRS Central Syari'ah Utama experienced inefficiency, whereas in Quarter I - IV BPRS Dana Amanah, BPRS Dana Mulia, BPRS Harta Insan Karimah showed efficiency. The period 2016 Quarter I - fourth quarter IV of Syari'ah People Financing Bank (BPRS) that is BPRS Dana Amanah, BPRS Dana Mulia, BPRS Harta Insan Karimah already 1,000 or experienced efficiency continue to take care during that quarter

The purpose of the research is to analayze efficiency level of Sharia Commercial Bank in Indonesia (Bank Mega Syariah, Bank Muamalat Indonesia, Bank Panin Dubai Syariah, Bank BNI Syariah, Bank BRI Syariah, and Bank Syariah Mandiri) 2014-2015 period. Data used in this research is secondary data taken from Financial Statement Publication issued by Otoritas Jasa Keuangan (OJK). This research uses input-output variable with Data Envelopment Analysis (DEA) Method.The result shows the difference of efficiency score for each Sharia Commercial Bank. Based on the calculacy using Data Envelopment Analysis (DEA) Method on BUSN Foreign Exchange of Sharia Commercial Bank in Indonesia only Bank Panin Dubai Syariah that has been succeeded with 100 percent of continuously efficiency during the research. The highest efficiency is experienced by Bank BNI Syariah and BRI Syariah because during the research they experienced inefficiency. During the research Bank Mega Syariah experienced efficiency three times on quarter March 2014, March 2015, and June 2015. Bank Muamalat Indonesia only experienced efficiency twice on quarter March 2014 and March 2015, beside that Bank Muamalat Indonesia experienced inefficiency. Bank Syariah Mandiri experienced efficiency twice on quarter March 2015 and quarter December 2015.

This research aim to analyse role of industrial sector to other economy sectors in Central Java and the role in Central Java economy. Research method, which applied that, is Input Output Analysis Model (Analysis I-O), accompanied by analysis of role of production sector and output creator of Central Java economy, backward and forward linkage index analysis, and key sector analysis. Data which used that is I-O table of Central Java year 2000 and year 2004 with classification 19 sector is obtained from Central Java BPS. Research result indicate that industrial sector role is seen enough dominant in Central Java economy in the year 2000 and 2004. From the result, author suggests government so that more give priority to industrial sectors that become key sector in Central Java in the year 2000 and 2004.

Economic clusters are significant to support the economic growth, particularly at regional scale. The approach in the analysis has evolved from the emphasis on the comparison between the intra and extra regional into the spatial approach that is capable to detect the prevailing movement and concentration pattern in particular economic activity, hence the generated data is more informative and analyzable. This paper concentrates in identifying the location and assessing the economic clusters of leading industries in Surakarta City, Indonesia based on the number of units and labor absorption by using the Exploratory Spatial Data Analysis (ESDA). In association with the first objective, ArcGis was employed to find out how the concentration of leading industries in Surakarta was formed. The analysis revealed that the industries in Surakarta City have a propensity to be remote from downtown and concentrated in the northern part of the city. The second objective was revealed by performing the Moran’s index on GeoDa software to determine the spatial autocorrelation among the observed areas as the basis in finding the leading industrial cluster. The analysis indicated that all leading industries have relatively low Moran’s index meaning there was no dominant leading industry in Surakarta. These results have been confirmed by the LISA method to reveal the areas having spatial autocorrelation for each industrial sector.

This research discusses about the correlation pattern between inflation rate and interest rate, in other word this causality called inflation rate-interest rate causality. This research uses 1984-2001 data and we have conclude that interest rate have a significant effect to inflation rate. By using granger causality model, we could have a conclusion that the correlation pattern between interest rate and inflation rate in Indonesia is interest rate causes inflation.

Investment as one of crucial production factor, plays a big role in increasing production as shown through economic growth. In other words, investment becomes a shift variable or a loco of national economic activities.During 1980 until 2002,the investment both PMDN and Foreign Direct Investment (PMA) has grown rapidly. This investment growth especially PMA growth, besides supported by regulation and debureaucratisation which has done by the government, the demand to invest their capital is determined by macroeconomic variables, i.e. Indonesia Gross Domestic Product (GDP), SBI interest rate, domestic deposit interest rate, LIBOR interest rate, and US dollar exchange rate.By using regression analysis with error correction method (ECM), this study will explore the behaviour of several macroeconomic variables on PMA in Indonesia.

This aim of the study will analyse factors that influenced intention the migration of the circular migrant. To achieve the aim, this study used the binary logit analysis technique of the Logistics, with made use of the primary data from 100 people who were made the respondent. This model tried to find the model that was best with four scenarios in testing the hypothesis. Results of the analysis showed that the scenario 4 was the best model. The factor that significantly influencedkeniatan resided the migration, he as follows: education (EDUC), and the income in the urban field (INCOME). Results of the prediction from the binary analysis logit the Respondent that said they stayed consistent to continue to become the circular migrant (did not reside) was relatively big, by chance him to reached 92.9%. On the whole the Binary Logit Regression model that was worn to explain factors that influenced niatan resided the circular migrant to this Jakarta had percentage of correct prediction as big as 78%. This at the same time explained that the behaviour the respondents in this research continue to tended as the circular migrant.

The objective of this research is to verify if the national income variable influences interest rate, or vice versa, the interest rate influences national income. The research is conducted by using causality test of Final Prediction Error which is method for determining the optimal length in the way minimizing FPE.Result of the test by using FPE showed that there is one datum showing GNP stationer variable demonstrating to Mackinnon critical values 5%, the best testing model is model which having the minimum AIC, and also on interest rate of bank of Indonesia (SBI) there is one datum of stationer showing that SBI stationer on Mackinnon critical values 5% demonstrating model 3 stationer which has minimal AIC value. The conclusion acquired from this research is that GNP causes SBI but SBI does not cause GNP because GNP variable is influenced by the previous time.

This study aimed to assess the achievement level of community empowerment in realizing food security. The result was expected to reveal a model of community empowerment, particularly farmer community institution as an attempt to attain food security. Survey was employed as the research method that involved the farmers (farmer groups) as the members of Food Barn for the Village Community ( Lumbung Pangan Masyarakat Desa/LPMD ). Technique of rapid rural appraisal was selected in the form of quantitative and qualitative analysis. Preliminary survey in study area was carried out to obtain the characteristic and status of food security; and to mapping the potential and role of Lumbung Pangan Masyarakat Desa in the process of community empowerment. Subsequently, study and analysis was done based on the survey. The results demonstrated the active role of stakeholders (A-B-G-C) was significant in supporting the farmer institution (food barn). The economic and social aspects were also evidenced to have important role in enhancing the farmer community empowerment. This model is called social engine for rural community and local institution, particularly to attain the regional food security.

This study aimed to analyze the fluctuation of the rupiah against the U.S. dollar. The data used in this study are quarterly time series data between the 1997.I to 2004.IV. Analysis tool used in this study is multiple linear regressions using the Error Correction Model (ECM). The results of this study concluded that variables such as exchange rates, inflation, SBI rate and the value of imports is stationary, only money supply variable that is not stationary. Based on the classical assumption was not found problem. Normality test showed normal distribution of Ut, tests of model specification with the Ramsey Reset test indicates the model used is linear. The coefficient of determination (R2) showed that approximately 90.5813 percent of the value of the rupiah against the U.S. dollar be explained by variables in the model. Result analysis by t test found that a significant variable is the money supply, inflation, and the value of imports.

This study aims at examining a basic and optimal strategy for strengthening an export-based UKM cluster at Serenan Klaten. This research sample is UKM bases on export in Serenan, Klaten. Reason of location choice in Serenan because Serenan has been specified to become one of UKM cluster to base on export by government. It used a qualitative approach with the identification of the export-based UKM’s characteristics. This included firm size, asset, planning, marketing, personnel, value of access to information and performance. In this research applied SWOT analysis to formulate strategy develops UKM in Serenan Klaten. There are seven strategies formulated to develop UKM in Serenan Klaten

Generally, foreign capital invested in developing countries function as externally additional capital resources in order to accelerate investment and economical growth, and also to mobilize capital as well as to transform economical structure. In this article, the writer discusses many impacts as a logical consequence of foreign capital inflows in some developing countries, including low income countries. Here, much discussion is talking about pros and cons arguments related to foreign capital inflows. The writer views that the abundance of foreign capital inflows in some developing countries mostly brings to negative impacts (from the view of balance sheet). To support his argument, the writer also put a "trivia hypothesis" such as: tightening rules about foreign capital inflows to make budget deficit not getting worse, 'reducing the structure of industrial sectors consisting many industrial sub sectors which is producing high-value added product and non-resources-based products and also not opening opportunity to posses as much 100 % for foreign investors.

This article presents the issue of income disparities, especially the phenomenon in Indonesia. Generally, the wealth of a country could be analyzed by its GDP rate so the society's income distribution of the country is able to be analyzed also. The disparities is still occurred in Indonesia. The empirical data shows that there's a lot of disparities among regions, especially between West side of Indonesia and East side of Indonesia.A few questions appeared consider these realities, is the development move forward or backward ? Is it straight to equality or poverty ?

This study aims to examine the factors influencing the Sukoharjo migrants' income in Surakarta. It used multiple linear regressions. In order to find the good estimate, it used classic assumption and statistic tests. The findings of this study indicate that education level and household responsibility has a positive influence on migrants' income while working experience has a positive relation to migrants' income, but it does not significantly. The findings of classic assumption test indicate that the model used is specific and free from multicolinearity problem while there are heteroskedasticity and morality problems.

The relationship between variables is close to regression analysis. This article tries to give a few contributions about one of model which uses regression analysis assistance, i.e. Granger method. The method explains reciprocal or causality relationship of two variables, whether one variable explains another variable or vice versa.

The research aims at analyzing the fluctuation ofRupiah exchange rate against US dollar. Data used in the research are quarterly time series data, namely in period from 1997.1 to 2004.IV. The analysis tools used in this research are multivariate linear regression by Error Correction Model (ECM). The result of this research concluded that the variables of The Rupiah exchange rate, inflation, interest rate of Bank Indonesia and import value has been stationer, only the variable of money supply on which is not stationer.ECM analysis results in the valid model on the Rupiah exchange rate against US dollar. It is showed by the significant ECT value at a=0.05; the regression coefficient value is 0.231835. Based on the classical assumption test, there is not found any problem. Normality test showed that Ut distribution is normal, the model specification test by Ramsey Reset Test showed that the model used is linear. The determination coefficient showed that about 90.5813% of the Rupiah exchange rate against US dollar could be explained by the variables of the model. The result of the t test analysis showed that the significant variable is the money supply (a=10%), inflation (a=l%), import value (a=l%)