Model Keuntungan Kompetitif sebagai Alat Analisis dalam Memilih Komoditas Pertanian Unggulan
Made Oka Adyana dan Ketut Kariyas, PSE Bogor
This model can be used to detennine the minimal yield of a certain commodity should be produced to maintain its competitiveness compared with other commodities. In addition, it can also be used to detennine the minimal price of that commodity assuming the yield is relatively unchange in order to maintain its competitiveness. Nevertheless, the CPAM will lead fanner to decide which commodity should be grown based on it yield an price. In the case of corn farming in East Java, either at irrigated land, rainfed land or at dry land, growing corn will provide competitive profit compared with it competing crops (soybean, peanut, mungbean) across agrosystem. However, profitability of growing com was not competitive compared with sweet potato. This can be observed that minimal yield and price of com was higher than its actual yield and its market price in order to be competitive.Download pdf file (290 kb)
Agus Ruhnayat dan Hermanto, Balittro Bogor
The relationship between variables of some factors can be traced by the use of an accurate method of analysis, such as the path analysis. This method of analysis can be used to 1race the direct and indirect effects between the causal agent or a subject, which may help in understanding the results of a research. The growth variables of Citronella and the climatic factors in Cibinong Research Installation and the clove production and the climatic factors in Cimanggu Research Installation were used as the subjects of the study. The results showed that the increase in height of Citronella is indirectly and directly affected by the light intensity, while the increase in the number of tiller is directly affected by the minimum temparature, where the n:lationship is possitively directed. The variability of clove production is directly affected by the amount of rainfall 2 months before the fonnation of flower primordium, where the relationship has a negative direction.Download pdf file (329 kb)
M. Yasin HG, Chalijah dan Djamaluddin S, Balitjas Maros & LPTP Koya Barat
The application of simple multivariate analysis for testing adaption of taro varieties in Koya Barat is performed to test hypotesis HO : ~ (1) = ~ (2) vs HI = ~ (I) of- ~ (2). The statistical distribution Hotelling (T2 - test) is esed within to reject or to accept with the value of (3,28) degrees of freedom. The results of analysis show that there is no significant difference in yield (weigh of root/tuber), plant height, and diameter of stem between two cultivars of taro (Green taro and Red taro) in Koya Barat. The value of calculated T = 10.192 and T tabel (3,28) = 14.980, at 1 % level of significance.Download pdf file (231 kb)
L. Hardi Prasetyo, Balitnak Ciawi
In order to estimate the degree of resemblance among family members in genetic analyses correlation coefficient is often used, and the most common relationship to be used is between parents and their offspring. Several methods have been developed to estimate the interclass correlation and each method has its own strength and weaknesses in certain conditions. This paper tries to review methods of estimating interclass correlation and comparisons among them. The pair-wise method is performed by pairing each parent's score repeatedly with each of its offspring, while the sib-mean method is performed by pairing each parent's record with the mean of the offspring's records in every family. Kempthorne and Tandon method is basically the modification of the weighted sib-mean method, and the ensemble estimator method is an improvement on a correlation obtained by pairing an offspring selected at random with its parent. Another method is by maximising a likelihood function of a variable for estimating one parameter and direct substitutions for other parameters, and called the maximum likelihood method. Several studies have been attempted to compare the different methods and they clearly showed which method should be used for the situations they considered. These results are not general enough because each applies only on its particular condition, largely dependent on the value of the interclass correlation ( ) and the sibship distribution. Therefore, the sibship sizes and the value of seem to be very important factors to consider when comparing diffetrent methods of estimating interclass correlation.
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Najamuddin, Puslitbanghort Jakarta
The implementation of MIS in RIF aims to help the director in performing or improving his management function as planning, programming, monitoring, and evaluation. The MIS focuses on four sub sistems including Research Programme, Personnel, Finance, and Facilities with the following activities: data collection, database management (inputting, editing, erasing, and displaying data) and data processing (sorting, selecting, and manipulating data). The results of data processing could be as follow as : data to store for future use, information for director in making decision, input for strategic planning. Developing MIS in RIF at the future has a good prospects and opportunities. It indicated by the establishment of Data Processing Laboratory as one of the Installation Unit under RIF based on the Agriculture Ministerial decree on December 13, 1994. This laboratory would be a place for organizing MIS especially in designing and analyzing system and programming. Therefore, the director policy for recruiting computer specialist i.e. System Analist, Programmer, and Maintenance Technician would be very expected.
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