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Modeling Oil Palm Nutrient Management Using Linear Goal Programming

Received: 28 August 2015     Accepted: 11 September 2015     Published: 25 September 2015
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Abstract

This paper describes a mathematical model for a good mixture of fertilizer levels using goal programming technique for oil palm plantations so that the oil palm plants produce high quality fruit. Goal programming used is preemptive goal programming. Computational results indicates that the determination of the optimal the mix of fertilizer using goal programming techniques is very effective because this technique is able to meet any goals expected in the oil palm plantations.

Published in Applied and Computational Mathematics (Volume 4, Issue 5)
DOI 10.11648/j.acm.20150405.17
Page(s) 374-378
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Mixing Model, Preemptive Goal Programming, Mixture of Fertilizers

References
[1] Adi, S. P, Kaya dengan Bertani Kelapa Sawit, Pustaka Baru, Jakarta, 2011.
[2] Corley, R. H. V. and Tinker, P. B. 2003. The Oil Palm, Wiley-Blackwell, USA.
[3] Ghosh, D. and Dinesh, K. 2005. Goal Programming Formulation in Nutrient Management for Rice Production in West Bengal, International Journal of Production Economics, 95: 1-7.
[4] N. Hassan, N., Hassan, K. B., Yatim, S. S., and Yusof, S. A. 2013. Optimizing Fertilizer Compounds and Minimizing the Cost of Cucumber Production Using the Goal Programming Approach, American-Eurasian Journal of Sustainable Agriculture, 7: 45-49.
[5] Jagadeeswaran, R., Murugappan, V., and Govindaswamy, M. 2005. Effect of Slow Rehease NPK Fertilizer Sources on the Nutrient Use Efficiency in Turmeric, World J. Agric. Sci, 1(2005), 65-69.
[6] Jafari, H., and Qhorbanali, R. 2008. An Optimal Model Using Goal Programming for Rice Farm, Applied Mathematical Sciences, 23: 1131-1136.
[7] Nyathi, P., and Campbell, B. M. 1995. Interaction Effect of Tree Leaf Litter, Manure and Inorganic Fertilizer on the Performance of Maize in Zimbabwe, African Crop Science Journal, 3: 451-456.
[8] Orumnie, U. C. and D. W. U. Ebong, Another Efficient Method of Solving Weighted Goal Programming, Asian Journal of Mathematics and Applications. 2013,1-11.
[9] Siswanto, Operation Research Jilid satu. Erlangga, Jakarta, 2007.
[10] Taha, H.A, Operations Research and Introduction. Edisi ke-7. New Jersey, Prentic Hall, 2003.
[11] Wheeler, B. M., and Russell, J. R. M. 1997. Goal Programming and Agricultural Planning, Operational Research Quarterly, 28: 21-32.
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  • APA Style

    Rida Agustina, Habibis Saleh, M. D. H. Gamal. (2015). Modeling Oil Palm Nutrient Management Using Linear Goal Programming. Applied and Computational Mathematics, 4(5), 374-378. https://doi.org/10.11648/j.acm.20150405.17

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    ACS Style

    Rida Agustina; Habibis Saleh; M. D. H. Gamal. Modeling Oil Palm Nutrient Management Using Linear Goal Programming. Appl. Comput. Math. 2015, 4(5), 374-378. doi: 10.11648/j.acm.20150405.17

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    AMA Style

    Rida Agustina, Habibis Saleh, M. D. H. Gamal. Modeling Oil Palm Nutrient Management Using Linear Goal Programming. Appl Comput Math. 2015;4(5):374-378. doi: 10.11648/j.acm.20150405.17

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  • @article{10.11648/j.acm.20150405.17,
      author = {Rida Agustina and Habibis Saleh and M. D. H. Gamal},
      title = {Modeling Oil Palm Nutrient Management Using Linear Goal Programming},
      journal = {Applied and Computational Mathematics},
      volume = {4},
      number = {5},
      pages = {374-378},
      doi = {10.11648/j.acm.20150405.17},
      url = {https://doi.org/10.11648/j.acm.20150405.17},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acm.20150405.17},
      abstract = {This paper describes a mathematical model for a good mixture of fertilizer levels using goal programming technique for oil palm plantations so that the oil palm plants produce high quality fruit. Goal programming used is preemptive goal programming. Computational results indicates that the determination of the optimal the mix of fertilizer using goal programming techniques is very effective because this technique is able to meet any goals expected in the oil palm plantations.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Modeling Oil Palm Nutrient Management Using Linear Goal Programming
    AU  - Rida Agustina
    AU  - Habibis Saleh
    AU  - M. D. H. Gamal
    Y1  - 2015/09/25
    PY  - 2015
    N1  - https://doi.org/10.11648/j.acm.20150405.17
    DO  - 10.11648/j.acm.20150405.17
    T2  - Applied and Computational Mathematics
    JF  - Applied and Computational Mathematics
    JO  - Applied and Computational Mathematics
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    EP  - 378
    PB  - Science Publishing Group
    SN  - 2328-5613
    UR  - https://doi.org/10.11648/j.acm.20150405.17
    AB  - This paper describes a mathematical model for a good mixture of fertilizer levels using goal programming technique for oil palm plantations so that the oil palm plants produce high quality fruit. Goal programming used is preemptive goal programming. Computational results indicates that the determination of the optimal the mix of fertilizer using goal programming techniques is very effective because this technique is able to meet any goals expected in the oil palm plantations.
    VL  - 4
    IS  - 5
    ER  - 

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Author Information
  • Department of Mathematics, University of Riau, Pekanbaru, Indonesia

  • Department of Mathematics, University of Riau, Pekanbaru, Indonesia

  • Department of Mathematics, University of Riau, Pekanbaru, Indonesia

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