Estimates of achievable milk production on subtropical dairy farms in Queensland

2000 ◽  
Vol 40 (6) ◽  
pp. 805 ◽  
Author(s):  
D. V. Kerr ◽  
P. M. Pepper ◽  
R. T. Cowan
Keyword(s):  
Decision Support ◽  
Survey Data ◽  
Milk Production ◽  
Support System ◽  
Dairy Farms ◽  
The Other ◽  
Age Group ◽  
Knowledge Based ◽  
History Of ◽  
Farm Survey

A knowledge-based decision support system called DAIRYPRO was applied to farm survey data to provide estimates of the achievable milk production for dairy farms in Queensland. The survey data were obtained from personal interviews conducted in 1994–95 involving 37–86% of farmers in 4 dairying districts in Queensland. Farms that had higher levels of milk production and a history of adopting proven management aids such as herd recording had production levels closer to achievable milk production. Measured milk yield relative to achievable milk production for 2 regions was significantly different from the other 2, while the age of the main decision maker was also a significant factor, with farmers aged 30–59 years producing closer to achievable milk production than any other age group (P<0.05). Seven percent of farms had measured production levels greater than the model’s estimation of achievable milk production.

A study of the effect of inputs on level of production of dairy farms in Queensland - a comparative analysis of survey data

1998 ◽  
Vol 38 (5) ◽  
pp. 419 ◽  
Author(s):  
D. V. Kerr ◽  
J. Chaseling ◽  
G. D. Chopping ◽  
T. M. Davison ◽  
G. Busby
Keyword(s):  
Decision Support ◽  
Linear Regression ◽  
Decision Support System ◽  
Milk Production ◽  
Support System ◽  
Regression Models ◽  
Dairy Farms ◽  
Linear Regression Models ◽  
Dairy Farmers ◽  
Multiple Linear Regression Models

Summary. Multiple linear regression models able to estimate total farm milk production from nutritional inputs were developed from farm survey data provided by dairy farmers in Queensland, Australia. These models were specifically developed for inclusion in a decision support system that could provide dairy farmers with an annual milk production estimate, thus enabling them to compare their production with an average farm using the same inputs in their region. Separate models were developed for each of 4 regions in Queensland and an additional model was developed for farms producing greater than 750 kL of milk per farm per year. The models were tested on dairy farms in Queensland by using the decision support system on farms that were not involved with initial model development. The partial regression coefficients for the models were biologically sensible and, apart from some minor interactions between independent variables in 2 regions, were additive. These interactions were not included in the final model in the interests of parsimony, ease of explanation and a need to provide transparent models within the decision support system. The coefficients of determination (R2) for the models varied from 79.9 to 88.3%. Forward-feed artificial neural network models were also used to confirm the relative accuracy of the multiple linear regression models and to allow for any interactions or non-linear functions in the data and to show that the simple equations are more appropriate for a farmer-orientated decision support system.

IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Support Decision Making ◽  
Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

Rancang Bangun Aplikasi Penjurusan Minat Bakat Menggunakan Metode Forward Chaining

2016 ◽  
Vol 7 (2) ◽  
pp. 155-160
Author(s):  
Levi Jordan Halim ◽  
Ranny Ranny ◽  
P.M. Winarno
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multiple Intelligence ◽  
Student Activities ◽  
Forward Chaining ◽  
Knowledge Based ◽  
Activity Unit ◽  
Index Terms ◽  
Intelligence Scores

Plentiful choices of Student Activities Unit that offered by a campus like Multimedia Nusantara University can help students who want to choose a unit that suitable for them. The decision support system application with Forward Chaining method is built to help students choosing the Student Activity Unit that suits them. Multiple Intelligence method is used as the knowledge base at making the rules. The aspects that considered as attributes to choosing the Student Activities Unit is the initial interest and also the multiple intelligence scores that the level of conformity will be searched by using Forward Chaining method. This research has produced a knowledge-based decision support system that can help students at choosing Student Activities Unit that suitable for them with the highest accuracy of 86.67 percent. This system is designed in website with PHP and MySQL database programming language. Index Terms—Forward Chaining, Knowledge-based, Multimedia Nusantara University, Multiple Intelligence, Student Activities Unit 

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