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All Journal Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis
Manihuruk, Eka Monika
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance

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PERAMALAN PASOKAN BAHAN BAKU DAN PENJUALAN SIR 20 DI PT. PERKEBUNAN NUSANTARA VII UNIT PADANG PELAWI KEC. SUKARAJA KAB. SELUMA Manihuruk, Eka Monika; Romdhon, M. Mustopa; Nusril, Nusril
Jurnal AGRISEP JURNAL AGRISEP VOL 15 NO 02 2016 (OCTOBER)
Publisher : Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (503.339 KB) | DOI: 10.31186/jagrisep.15.2.151-162

Abstract

This research aims to forecast supply of raw material and sales and then to analyze the price of SIR 20 for 1 next year with a best method. Accuracy method of divination used MAD, MSE, MAPE. Analyze quantitative used time series, eksponential smoothing and Arima the development of raw materials, price of raw materials inside and outide of companies, the price of SIR 20 and selling of SIR 20 through increasing.
ANALISIS FAKTOR YANG MEMENGARUHI PETANI MEMILIH POLA TANAM UBI KAYU SERTA EFISIENSI TEKNIS DI KABUPATEN LAMPUNG TENGAH Manihuruk, Eka Monika; Harianto, Harianto; Kusnadi, Nunung
Jurnal AGRISEP JURNAL AGRISEP VOL 17 NO 02 2018 (OCTOBER)
Publisher : Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (316.79 KB) | DOI: 10.31186/jagrisep.17.2.139-150

Abstract

The low production of cassava forcesIndonesia to import from other countries. The efforts to increase production and productivity are necessary in order to fulfill domestic needs. Cassava cultivation technology is expected to assist in increasing production. This study aims to analyze the factors that affect cassava farmers to choose cropping patterns and estimate technical efficiency in Lampung. Analytical methods used are binary logitto in 91 respondents with simple random sampling determine the factors that influence planting pattern and Data Envelopment analysis (DEA) to measure farmer efficiency level. Primary data used through questionnaire interview, and secondary data obtained from institution. The results showed that there are 4 significant variables that affect farmers' cropping pattern that is the area of land, the distance of land to the factory, the income while the education level hasno significant effect. Intercroppingfarmers are more efficiently than monoculture farmers with percentages of 77.41 and 45.
Co-Authors Harianto Harianto M. Mustopa Romdhon, M. Mustopa Nunung Kusnadi Nusril Nusril