Diagnosis of cattle disease as an effort to prevent the spread of FMD using the dempster shafer method in Langkat district

Authors

  • Padilla Savira STMIK Kaputama
  • Novriyenni Novriyenni STMIK Kaputama
  • Milli Alfhi Syahri STMIK Kaputama

DOI:

https://doi.org/10.63893/jetcom.v2i2.108

Keywords:

Expert System, Foot and Mouth Disease (PMK), Dempster Shafer

Abstract

Diseases in livestock, such as cattle, can have significant negative impacts on the livestock industry and human health. In this regard, the cow disease of greatest concern is Foot and Mouth Disease (FMD), which is a communicable disease that can spread quickly among the cattle population and have serious implications for animal welfare and agricultural sustainability. This study aims to develop a method for diagnosing cattle diseases, especially FMD, as a measure to prevent the spread of epidemics in Langkat District. The method used is the Dempster Shafer method, which is an artificial intelligence method that utilizes probability theory and belief theory to overcome uncertainty in the decision-making process.

References

Akhyari Parna, Alvir, Katen Lumbanbatu, and Yusfrizal. 2022. “Diagnosa Penyakit Sapi Ternak Menggunakan Metode Dempster Shafer.” Agustus 6(3):1–254.

Pratiwi, Heny. 2019. Buku Ajar: Sistem Pakar. STMIK Widya Cipta Dharma.

Wahyuni, Elyza Gustri, and Widodo Prijodiprodjo. 2013. “Prototype Sistem Pakar Untuk Mendeteksi Tingkat Resiko Penyakit Jantung Koroner Dengan Metode Dempster-Shafer.” IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 7(2):133. doi: 10.22146/ijccs.3352.

Pengabdian, Jurnal, and Kepada Masyarakat. 2022. “Volume 01 Nomor 02 Tahun 2022.” 01:77–91.

Hasibuan, Pauji Safri, and Muhammad Iqbal Batubara. 2019. “Penerapan Metode Dempster Shafer Dalam Mendiagnosa Penyakit Faringitis.” Jurnal Media Informatika Budidarma 3(1):59. doi: 10.30865/mib.v3i1.1061

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Published

2023-07-30

Issue

Vol. 2 No. 2 (2023): JETCom, July 2023

Section

Articles

License

Copyright (c) 2023 Padilla Savira, Novriyenni Novriyenni, Milli Alfhi Syahri

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

<p><a href="http://creativecommons.org/licenses/by-nc-sa/4.0/" rel="license"><img style="border-width: 0;" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" alt="Creative Commons License" /></a><br /><strong>Journal of Engineering, Technology and Computing (JETCom)</strong> This work is licensed under a <a href="http://creativecommons.org/licenses/by-nc-sa/4.0/" rel="license">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.</p>