The economic growth of Banjarnegara, Purbalingga, Banyumas, Cilacap and Kebumen regencies or known as Barlingmascakeb region is on average lower than the economic growth of Central Java Province. This study aims to analyze the influence of human capital that proxy from level of education and life expectacy, labor, and capital on economic growth in the Barlingmascakeb region. The data used is secondary data, time series starting from 2008-2015. This study uses multiple linear regression. Based on the results of the study it is known that the variable human capital, which is seen from the level of education and life expectancy, labor, capital has a positive influence on economic growth in the Barlingmascakeb region.Keywords: Level of Education, Life Expectancy, Labor, Capital, Economic Growth.
East Java Province is one of the largest regions and has the second highest GDP on Java Island. However, based on the Williamson index the level of income distribution within regions districts/cities is still low. This study intent to analyze areas that become growth pole and spatial economic interactions in East Java Province in 2009 and 2018. The analyses used in this research are gravity model analysis and scalogram analysis. The results of scalogram analysis and centrality showed that in 2009 there were 3 districts/cities included in Hierarchy I, 5 districts/cities in Hierarchy II, 6 districts/cities in Hierarchy III, 9 districts/cities in Hierarchy IV, 12 districts/cities in Hierarchy V and 3 districts/cities VI. While in 2018 there were 8 districts/cities in Hierarchy I, 10 districts/cities in Hierarchy II, 11 districts/cities in Hierarchy III, 4 districts/cities in Hierarchy IV, 3 districts/cities in Hierarchy V and 2 districts/cities in Hierarchy VI. Growth pole areas within hinterland areas in 2009 to 2018 increased. From 2009 to 2018 hinterland areas that interact strongly with the city of Surabaya such as Sidoarjo Regency, Gresik Regency and Bangkalan Regency. The results imply the necessity to increase interaction or cooperation both in the economic and social between the regions which are the center of growth and the hinterland region such as in the economic sector.
Borneol, citral, and geraniol have been investigated as the major bioactive compound commonly found in ginger. In this work, a molecularly imprinted polymer (MIP) coated quartz crystal microbalance (QCM) sensor array has been employed for selective recognition of bioactive compounds in the ginger essential oil. In the experiment, the concentration of these bioactive compounds previously was measured using solid phase micro extraction gas chromatography-mass spectroscopy (SPME-GC/MS). Design of MIPs as the template of target molecules was created using polyacrylic acid (PAA) polymer matrix and three molecular targets (borneol, citral, and geraniol). An array of QCM sensor was prepared using four 9-Mhz AT-cut quartz crystal embedded between vacuum-deposited Au electrodes. For data recording, the headspace system flew the odorant of three varieties of ginger essential oil as positive control odorant and wild ginger essential oil as negative control odorant into the QCM sensor chamber. Then, mass loading in the MIP films caused frequency change of QCM sensor array due to odorant adsorption in a thin layer of MIP. Principal component analysis (PCA) and linear discriminant analysis (LDA) were applied to analyse the QCM response sensor. PCA score plot showed segregation of feature response of ginger essential oil with and without the molecular target in the coordinate of principal components. Meanwhile, LDA was able to discriminate training datasets of 80 ginger samples containing borneol, citral, and borneol with accuracy more than 92.50%.
The purpose of this study was to analyze the contribution of women's batik craftsmen income to household income, the influence of KUB Pringmas women's batik craftsman income on consumption expenditure and the welfare level of KUB Pringmas women's batik craftsmen. The population were 38 respondents. Data collection techniques through observation accompanied by interviews and questionnaires. The results of research using analytical techniques in the form of cross tabulation and simple linear regression showed that: (1) As many as 94.74% or 36 women batik craftmen contributed low, the average income of female batik artisans was less than Rp 1,116,667 per month. The income of female batik craftmen has a significant positive effect on household consumption. (3) The batik craftsmen of KUB Pringmas are included in the category of not yet prosperous, but household welfare using the BKKBN indicator has been met and the average is in the condition Prosperous Family III Plus (KS III Plus). The implication of the above conclusion is that the efforts of women artisans to increase their income contribution to the household by making the main work and increasing working hours. Food consumption expenditure takes precedence over non-food consumption. Efforts to improve welfare by holding training to improve the skills of women batik craftmen.
The agricultural sector, especially rice farming, has a very important role for the Indonesian population. In addition, related to the issue of Indonesian food security, the sector also has a very large influence on the community because most of the Indonesian population earns income from the agricultural sector and not a few who depend on the sector for their livelihood. The purpose of this study were to analyze the effect of age, education level, farming experience, land area, and harvesting system on rice farming income measure the contribution of rice farming income to household income, and measure the living feasibility of farmers by comparing the income of rice farming with the UMK. The data collection technique is using the interview method based on a questionnaire while the analysis technique uses multiple linear regression. The result of this research is that the variables of education, land area and harvesting system have an effect on rice farming income, while the variables of age and farming experience have no effect. Average contribution of rice farming income to household income is still low. Farmers are included in the category of not living properly because their income from rice farming is still below the UMK.
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