Warta Informatika Pertanian : Volume 7 Nomor 1, Juli 1997

  • Pengukuran Pengaruh Peubah Boneka Pada Fungsi Produksi Semilogaritmik (The Measurement of Dummy Effect in Semilogarithmic Productin Function) (Alternatif Approaches for Measuring Farm Efficiency or In-Efficiency)

Dewa Ketut Sadra Swastika       

The Measurement of Dummy Effect in Semilogarithmic Productin Function. As mentioned by Halvorsen and Palmqvist (1980), there was an almost  similar missinterpretation of the dummy coefficient in  many articles in the world.  The same case was also happening in Indonesia. This study is aimed to introduce a method of computing the magnitude of the effect of dummy variable correctly, in a semi logarithmic production function.  The example used in this paper is the Cobb-Douglas production function.   By using this example, the author tried to show that the coefficient of the dummy  does not  necessarily  represent the  magnitude of the dummy effect on production function.

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  • Fungsi Pertumbuhan Produksi:  Kajian Penentuan Tahun Pelandaian Pertumbuhan Produksi  Komoditas Pertanian (Production Function Theory Has Been Adopted to Evaluate the Leveling off Rice Production in Indonesia)

Made Oka Adnyana dan Ketut Kariyasa                   

Production function theory has been adopted to evaluate the leveling off trend of rice production in Indonesia. The result of this analysis can determine approximately the year when the leveling of production growth rate occur.  Three stages of production function can be determined using this approach.  For example, the production growth rate increases and reach its maximum point at condition where the marginal production growth rate is maximum.  The trend in leveling off position when the average production growth rate at maximum point.  In case of rice production in Central Java and South Sumatra tremendous increase of  production growth rate occur in 1981 and 1985 respectively.  On the other hand, the production trend in leveling off position occur in 1985 for Central Java and in 1992 for South Sumatra.

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  • Sebaran Spasial Ulat Helicoverpa spp. pada Tembakau Besuki Na Oogst (Tobacco Budworms Spatial Distribution on Besuki Na Oogst Tobacco)

Dwi Adi Susanto, Subiyakto, Nurindah dan Elna Karmawati  

An information about spatial distribution pattern of insect as a basic to determine a sampling method to approximate pest population.  A study of tobacco budworms spatial distribution was carried out at tobacco area of PT. Perkebunan XXVII, Jember from August to November 1991.  The purpose of the study was to find out the spatial distribution pattern of tobacco budworms on besuki na oogst tobacco.  Observation plot about 400 sq m (20x20m) was located inside 10 hectares of tobacco study area.  Plants inside plots were observed to the spatial distribution in some plant stage.  Data were analyzed according Elliot method. s and tested using chi square (X2) test.  General spatial distribution was determined using Taylor. s power law (y= axb).  The results showed that generally the spatial distribution pattern of tobacco budworms in egg and small larvae stage were negative binomial but in large larvae stage was Poisson.  The spatial distribution of different stage of the tobacco plants varied from negative binomial, Poisson and binomial.

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  • Penerapan Analisis Koefisien Keunggulan Kompetitif (KKK) Imbalan Tenaga Kerja Pada Sektor Pertanian Terhadap Sektor Lainnya (Availabality of Labor will be the Most Limiting Factor for Agricultural Sector Particularly in Buffer Zone of Industrial Area)

Ketut Kariyasa dan Made Oka Adnyana    

Availability of labor will be the most limiting factor for agricultural sector particularly in buffer zone of industrial area.  This is due to a fact that among more educated young generation will prefer to sake job in industrial sector for more secure income and better pay.  If there is no breakthrough, agriculture may not able to provide competitive income for them relative to other sectors.  To evaluate the competitive advantage of doing farming at micro level, competitive advantage coefficient (CAC) can be ability computed relative to industrial sector.  CAC is employed to determine the return to labor competitiveness working in agricultural sector compared with industrial sector.  CAC > 1 indicated the working as farmer more competitive than labor industry and  vice versa.  In the case of farming system with improved technology in Subang District, CAC was accounted at 1.35.  In other word, return to labor in farming was 35 percent higher compared with wages in industrial sector.  Meanwhile, traditional farming was less competitive compared with working as hard labor in industry and CAC is 0.85.

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