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All Journal EKO-REGIONAL JURNAL PENGEMBANGAN EKONOMI WILAYAH
Kikin Windhani
Faculty of Economics and Business, Universitas Jenderal Soedirman
Economics, Econometrics & Finance

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Rice Selling Vs. Grain Selling Farms: Which One is More Profitable? Adi Nurfadilah Rosyandi; Supadi Supadi; Kikin Windhani
EKO-REGIONAL Vol 14, No 1 (2019)
Publisher : Jurusan Ilmu Ekonomi dan Studi Pembangunan Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (429.149 KB) | DOI: 10.20884/1.erjpe.2019.14.1.1272

Abstract

The objectives of this study were to compare the income and efficiency between grain selling farmers and rice selling farmers, and analyzed added value. Population in this study were all rice farmers in Kapandayan Village. With proportionate random sampling, 34 grain selling farmers and 16 rice selling farmers were selected as respondents. The data were analyzed with income analysis, independent samples t-test, Hayami’s method and R/C ratio. The results indicated that rice selling farmers had a higher income than grain selling farmers, the result of t test indicated that there was a significant difference. Hayami’s method indicated that there was a positive added value of Rp786/kg, from which the farmers received 86% of total added value, and the remaining 14% was received by direct labor. R/C ratio of grain selling farmers was 1.57 and R/C ratio of rice selling farmers was 1.68. The analysis result of R/C ratio indicated that rice farmers in Kapandayan Village have been efficient.Keywords: Farmer, Income, Value Added, Efficiency.
Regional Inequality Based on Infrastructure Indicators Using Principal Component Analysis (PCA) Kikin Windhani; Fajar Hardoyono
EKO-REGIONAL Vol 12, No 2 (2017)
Publisher : Jurusan Ilmu Ekonomi dan Studi Pembangunan Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1421.545 KB) | DOI: 10.20884/1.erjpe.2017.12.2.1136

Abstract

This research aimed to identify the development gap among 27 sub-districts in Banyumas Regency based on infrastructure indicators using Principal Component Analysis (PCA). The infrastructure indicators used were the quality of road, lighting, transportation, market, bridges and schools. The data were collected by observation in 27 sub-districts of Banyumas Regency. From the analysis result with PCA, it can be determined that based on infrastructure indicators, the sub-districts in Banyumas Regency were divided into 4 clusters, namely: Cluster I with 1 sub-district; Cluster II with 3 sub-districts; Cluster III with 3 sub-districts, and the remainining 20 sub-districts were in Cluster IV.Keywords: Gap, Infrastructure, Principal Component Analysis (PCA).
Co-Authors Adi Nurfadilah Rosyandi Fajar Hardoyono Supadi Supadi