E-Farm Livestock Platform Requirements Engineering Using Loucopoulos and Karakostas Iterative Process Model

Authors

  • Liana Trihardianingsih Amikom University Yogyakarta, Indonesia
  • Maie Istighosah Amikom University Yogyakarta, Indonesia
  • Ariel Yonatan Alin Amikom University Yogyakarta, Indonesia
  • Muhammad Ryandy Ghonim Asgar Amikom University Yogyakarta, Indonesia

DOI:

https://doi.org/10.25124/ijies.v8i01.206

Abstract

Global human population growth has forced farms to evolve in order to produce more livestock
products more efficiently while also paying attention to public health, environmental sustainability,
and animal welfare. However, problems arise when some diseases appear to affect farm animals and
large companies providing livestock products dominate the market. It is necessary to develop a
platform or application that can be used to solve these two problems, especially for breeders who have
farms on a small scale. This study aims to outline the process of understanding engineering
requirements by utilizing the Loucopoulos and Karakostas Requirements Engineering Process Model
method, which consists of elicitation of requirements, specification of requirements, as well as
validation and verification of requirements. The development process is carried out by hiring breeders
and potential customers to determine the priority needs of the platform. The results showed that of the
25 defined functional needs, there were 22 final functional needs that were validated with values
above 50%. The E Farm platform should be further developed based on the defined demands since a
total of 22 validated needs have been determined to be able to represent 88% of the needs required by
users.

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Published

2024-10-23

How to Cite

Liana Trihardianingsih, Maie Istighosah, Ariel Yonatan Alin, & Muhammad Ryandy Ghonim Asgar. (2024). E-Farm Livestock Platform Requirements Engineering Using Loucopoulos and Karakostas Iterative Process Model. International Journal of Innovation in Enterprise System, 8(1), 69–86. https://doi.org/10.25124/ijies.v8i01.206

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