scholarly journals ANALISIS EFISIENSI USAHA TANI TEBU DI JAWA TIMUR

2020 ◽  
Vol 18 (4) ◽  
pp. 162 ◽  
Author(s):  
SRI HERY SUSILOWATI ◽  
NETTI TINAPRILLA

<p>ABSTRAK<br />Upaya pengembangan usaha tani tebu masih terkendala bukan<br />hanya oleh ketersediaan lahan namun juga oleh aspek teknis budidaya<br />usaha tani (penggunaan bibit unggul, pemupukan, aspek kelembagaan,<br />dan sebagainya). Selain melalui fasilitasi perluasan lahan, strategi<br />pengembangan  tebu  harus  disertai  dengan  upaya  peningkatan<br />produktivitas, yaitu melalui peningkatan efisiensi usaha tani tebu, atau<br />dengan kata lain bagaimana meningkatkan output maksimum melalui<br />pengelolaan sumberdaya serta teknologi yang ada. Tujuan penelitian<br />adalah untuk menganalisis efisiensi usaha tani tebu dan menentukan<br />faktor-faktor yang mempengaruhi inefisiensi usaha tani tebu. Data yang<br />digunakan adalah data survei PATANAS (Panel Petani Nasional) oleh<br />Pusat Sosial Ekonomi dan Kebijakan Pertanian di Kabupaten Malang<br />dan Lumajang, Jawa Timur tahun 2009. Jumlah contoh sebanyak 132<br />rumah tangga yang dipilih secara acak. Analisis menggunakan stochastic<br />frontier production function approach dengan fungsi produksi Stochastic<br />Frontier Cobb Douglas yang diolah menggunakan program Frontier 4.1.<br />Hasil penelitian menunjukkan nilai indeks efisiensi teknis dikategorikan<br />belum efisien dengan rata-rata efisiensi sebesar 0,672. Variabel akses<br />lahan oleh petani merupakan faktor yang paling penting dan responsif<br />dalam mempengaruhi produksi tebu. Kebijakan pengembangan usaha<br />tani tebu untuk meningkatkan efisiensi usaha tani adalah melalui<br />peningkatan akses lahan, kualitas bibit yang dipakai, dan ketersediaan<br />sarana produksi.<br />Kata kunci : efisiensi teknis, usaha tani tebu, stochastic frontier<br />production function</p><p>ABSTRACT<br />Improving sugar cane farming is still constrained by not only land<br />availability but also technical aspects such as quality of seed, fertilization,<br />institution, etc., so that development strategy to improve sugar cane<br />farming should be conducted by facilitating extensification and<br />increasing productivity and technical efficiency, or in other word<br />increasing maximum output through resource management and<br />technology. The aim of this study was to analyze technical efficieny of<br />sugar cane farming and to identify determinant factors influencing the<br />efficieny of sugar cane farming. This study used PATANAS data survey<br />which was conducted by Indonesian Center for Agriculture Socio<br />Economic and Policy Study (ICASEPS) in Malang and Lumajang<br />Regency, East Java Province in the years of 2009. The 132 samplies of<br />sugarcane household were chosen randomly in the year 2009. Data were<br />analysed using stochastic frontier production function approach with<br />Stochastic Frontier Cobb Douglas using frontier 4.1. programme. The<br />result of this study showed that sugar cane farming in East Java was<br />technically not efficient with the index value of 0.672. Among variables<br />that significantly influenced sugarcane production, land access by<br />farmers was an essential factor to improve production. Policy implication<br />for developing sugar cane farming to improve technical efficiency is by<br />increasing land access, quality of seed, and production factor availability.<br />Key words : technical efficiency, sugarcane farming, stochastic<br />frontier production function</p>

2012 ◽  
Vol 14 (3) ◽  
pp. 317-338 ◽  
Author(s):  
M. Abdul Majid Ikram ◽  
Andry Prasmuko ◽  
Donni Fajar Anugerah ◽  
Ina Nurmalia Kurniati

This paper analyzes the contributon of primary input; capital anda labor, on sectoral performance in Indonesia. The analysis cover sall sectors both in national and regional level, and also the dynamic of input efficiency across period. Using stochastic frontier production function approach, this paper found the aggregate share of capital is 0.20 and 0.34 for labor; conforming the dominance of labor. The highest three technical efficiency is Mining sector (88.65%), Manufacture (70.47%) and Financial (65.93%), while the lowest one is Electric, Gas and Water (25.38%).Keywords: efficiency, stochastic frontier, productivity, Indonesia.JEL Classification: D24, J24, O18


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