Implementation of a Decision Support System for Optimizing Feed Rations in the Cattle Fattening Industry
Yudha Alif Auliya
, Isti fadah , Mohammad Zarkasi , Agus Dwi Milniadi , Yustri Baihaqi
Algorithm, Feed Ratio, Nutrition, Beef Cattle.
Mentor Village is a village located in Sumberasih District, Kab. Probolinggo. The majority of the population makes a living as farmers and ranchers. Mentor villages are committed to improving the economy through community empowerment, MSMEs, and village-owned enterprises (BUMDES). Mentor Village Empowerment carried out by the proposer is currently entering its second year. In the first year, Mentor Village empowerment was focused on developing fermented feed, developing product diversification, and developing an E-Commerce system for farmer groups. As a result, several diversified processed products made from corn and fermented feed have been formed, used for fattening livestock. The first year of empowerment also produced fermented feed, which was developed to improve nutrition and utilize corncob waste which is widely found in Mentor Village. Currently, BUMDES cattle fattening has been running for one year, but the process of fattening cattle is not optimal. The main problem is that the fattening process is not going well because of the difficulty in determining the optimal feed ratio according to the cows' nutritional needs per day. To solve this problem, a decision support system for determining the feed ratio is used. The system developed uses a genetic algorithm to calculate the optimal feed ratio for the needs of cows per day. The optimal value for the number of generations is more than 700. These tests can be concluded that the greater the number of generations, the better the fitness value obtained. This happens because the process of iteration is more so than the genetic process often occurs. The optimal combination for crossover rate and mutation rate is 0.6:0.3 and 0.5:0.4. The combination results prove that the exploitation process is more likely to occur by increasing the mutation rate to maintain the exploration process. Therefore, the crossover rate has a higher value by considering the mutation rate to maintain exploration. It is hoped that this optimization system for cattle feed rations can help companies determine feed rations by cows' nutritional needs per day. This system has been tested for three months in actual conditions and increases the bodyweight of beef cattle by 20% more than before.
"Implementation of a Decision Support System for Optimizing Feed Rations in the Cattle Fattening Industry ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 10, page no.56 - 60, October-2021, Available :https://ijsdr.org/papers/IJSDR2110009.pdf
Volume 6
Issue 10,
October-2021
Pages : 56 - 60
Paper Reg. ID: IJSDR_193684
Published Paper Id: IJSDR2110009
Downloads: 000347283
Research Area: Applied Mathematics
Country: Jember, East Java, Indonesia
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
