Warta Informatika Pertanian : Volume 12, Desember 2003

  • Aplikasi  Metode Location Quotient (LQ) dalam Menentuan Komoditas Unggulan Nasional

Rachmat Hendayana, Balai Pengkajian dan Pengembangan Teknologi Pertanian Bogor

Determine of agriculture superior commodities are main step to go in the direction of efficient agricultural development. There are more methods of superior commodities identification; one is Location Quotient (LQ) approach. This paper aims to examine the implementation of LQ approach uses wide of agriculture harvesting area/cattle population series data for five years period (1997-2001) from Indonesian Statistics as main source. Data procesing conducted whith spreadsheet from Excel on Microsoft Windows XP. The results conclude that LQ method still obtained as one of relevant method for mayor agricultural commodities identification. It is suggestion for using for using LQ with supporting accuracy long series data present. 

Download pdf file (209 kb) 
  • Penggunaan Analisis Probit Untuk Pendugaan Tingkat Kepekaan Populasi Spodoptera Exigua Terhadap Deltametrin Di Daerah Istimewa Yogyakarta 
Abdi Negara, BPTP Sulawesi Tengah

The use of Probit Analysis toward deltametrin insecticide at Yogyakarta was carried out in April 2001. Data was analyzed with Probit Analysis, Abbot formula and Resistance Ratio (RR) formula. The result of the research indicated that Probit Analysis can give a good information about insecticide toxicity (LC50) by pest in laboratory before insecticide field application. Decision maker can use Probit Analysis result to make decision from now and the future about toxicity insecticide toward pest.

Download pdf file (132 kb) 
  • Perancangan Sistem Informasi Jabatan Fungsional Badan Litbang Pertanian
Priyono dan A. Aziz Haarun, Staf Sekretariat Badan Litbang Pertanian

This paper discussed about information system design of functional staff in IAARD to be implemented for functional management of researcher, technician, agricultural extension staff, agricultural engineering specialist, computer specialist and other functional staffs in IAARD. The analysis follows the standard procedure, starting on problems identification and user requirements, analysis of existing system and system development proposed. Hopefully, the new system will increase efficiency, accuracy, speediness and the ease of getting information on functional administration process. The output of the system will be benefited to support career development of functional staff. 

Download pdf file (166 kb)
  • Penggunaan Rancangan Percobaan dalam Tahapan Membentuk Varietas Jagung Sintetik
M. Yasin HG, dan Firdaus Kasim, Staf Peneliti Pemuliaan & Plasma Nutfah Jagung Balitsereal, Maros

In maize, a synthetic variety is usually developed by intermating several superior inbred lines which posses high combining ability. The steps in the formation of synthetic varieties involve different scheme of selection and experimental design. Simple design with no replication and visual selection are commonly practical in early stages of synthetic formation. The evaluation of large number of families or inbreds usually use Alpha Lattice design with two replication, model :Yij = μ + αi + βj + εij + γk + (βγ)jk + εijk. The selected families are than advanced to be recombined by a diallel mating design. Once a new genotype is formed, it will be evaluated for yield and adaptation. The evaluation of new genotypes together with checks consist of priliminary, advance, and multi-location trial. In these stages the design use is RCBD (Randomized Complete Block Design) with 3-4 replications, the model : Yi = µ + αi + βj + εij and pooled design Yi = µ + αi + βjj +γk + (αγ)ik +  εijjk., Further analysis are needed to decide best genotypes derived from multi-site experiments. The yield stability of promising genotypes is determined by using Eberhart and Russels’s stability parameters Y =  β0 + β1I, (I : environmental index). The case on 16 synthetic varieties shown that population Across 8762  is significant on  the yield stability,  and coefficient of  β1= 1.310.

Download pdf file (12 kb)