![badan pusat statistik industri makanan dan minuman badan pusat statistik industri makanan dan minuman](https://cdn1.katadata.co.id/media/chart_thumbnail/112674-pengeluaran-konsumsi-makanan-dan-minuman-rumah-tangga-tumbuh-di-atas-pdb-nasional.png)
Indikator Industri Besar Dan Sedang Kota Jambi Tahun 2001.
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630,266.67.- per month.Īlhudhori, M., 2017, Pengaruh IPM, PDRB, dan Jumlah Pengangguran Terhadap Penduduk Miskin di Provinsi Jambi, Ekonomis: Journal Economics and Business, 1(1), 113-124Īnonim. And the average income of farmers amounted to ± Rp fish crackers.
#Badan pusat statistik industri makanan dan minuman cracker#
Meanwhile, cracker craftsmen revenue contribution of fish to the family income amounted to 71.72 percent. Then the family income of the highest fish crackers craftsmen USD 1.225 million per month. Acceptance is not reduced sales of capital and production costs. Of the total employment of each worker is different, ranging from 1-4 people.
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350,000 – 699,000 totaling 10 respondents or 66.67 percent of total respondents. Judging from the initial capital issued by the craftsmen of fish crackers ranging from Rp. From satatus jobs, most of the respondents made this fish crackers craft business as a major work that is equal to 73.33 percent. Among 10 respondents, or 66.67 per cent with two-3orang family members only. Number of dependents of each of the respondents ranged between 1-6 people.
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Viewed from the level of education in the village of fish crackers pengarjin jelmu most educated junior or 46.67 percent. Then in terms of age craftsmen fish crackers between 40-49 years of age or 46.67 percent of the 15 people total respondents. From the discussion we know that the characteristics of the respondents viewed the sex, most craftsmen female fish crackers or equal to 80 percent of 15 respondents. Third to know how much revenue contribution of household industry workers fish crackers on family income in Sub Jelmu. Secondly to study and analyze the amount of household income of industrial workers in the village of fish crackers jelmu jambi city. Bandung : Alfabeta.The aim of this study is the first to know the characteristics of industrial workers' households in the village of fish crackers jelmu jambi city views from sex, age, education level, the number of dependents, employment status, duration of operations and the initial capital. Sugiyono, 2014, Penelitian Kuantitatif, Kualitatif, dan R&D. Pengantar Ekonomi Sumber Daya Manusia, Jakarta : BPFE UI. Penyerapan Tenaga kerja Pada Sentra Industri Rajutan Binong Jati Kota Bandung Bandung: Universitas Pasundan.ĭuwi, Consultan. (2017).Jumlah perusahaan,tenaga kerja dan pengeluaran untuk tenaga kerja bagi perusahaan industri besar dan sedang menurut subsector industri 2013. Surabaya: BPSīadan Pusat Statistik Provinsi Jawa Timur. Skripsi.īadan Pusat Statistik, 2006-2016. Analisis Faktor-Faktor Mempengaruhi Penyerapan Tenaga Kerja Di Indonesia Bogor: Fakultas Ekonomi dan Manajemen, ITB. Keywords: Employment Absorption, Wage Level, Economic Growth, Number of Business Units.Īkmal, Roni, 2010. The higher the wage rate, the less the number of workers who survive. Then it can be concluded that the higher economic growth and the number of business units will increase the amount of labor absorbed. The results showed that there are two significant variables, namely economic growth and number of business units and there is one variable that is not significant ie wage rate variable. In the calculation using multiple linear regression analysis model of the results of this study is if all the variables simultaneously significant effect. On the other hand, partially only the variable of wage level is not significant but the variable of economic growth and the number of business unit is significant. This research uses multiple linear regression analysis model. The type of data in this study is quantitative data and data sources used are secondary data obtained from the Central Bureau of Statistics Surabaya. This study aims to analyze the factors that affect the absorption of labor in the food and beverage industry in the city of Surabaya either simultaneously (simultaneously) or partially (calculated each variable). Factors analyzed include wage rates, economic growth and number of business units.