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Identification of Nervosa Disease using Case-Based Reasoning

Authors

  • Tar Muhammad Raja Gunung Universitas Satya Terra Bhinneka
  • Riko Muhammad Suri Universitas Muhammadiyah Muara Bungo
  • Nopi Purnomo Institut Teknologi dan Sains Padang Lawas Utara
  • Akbar Idaman Universitas Satya Terra Bhinneka
  • Abdul Muis Universitas Satya Terra Bhinneka

DOI:

10.47709/cnahpc.v6i1.3227

Keywords:

Artificial Intelligence, Case Based Reasoning, nervosa

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Abstract

Among teenagers or adults, body shape greatly affects a person's confidence. Most people will be very confident if their body shape is ideal, where the person will be very confident speaking in public. Different things with people who have a body shape that is too thin/fat, so their confidence is less to appear in public. To get the ideal body shape they will do everything possible, one of which is dieting, taking weight loss capsules, and so on. They do not know the dangers of dieting too strictly and taking weight loss capsules carelessly which can make them contract Nervosa disease. To get the results of the expert system, the case-based reasoning method will be used. After this application is built, the result obtained is the type of nervosa disease based on the symptoms felt by the user.

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References

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ARTICLE Published HISTORY

Submitted Date: 2023-11-22
Accepted Date: 2023-11-23
Published Date: 2023-12-31

How to Cite

Gunung, T. M. R., Suri, R. M. ., Purnomo, N. ., Idaman, A. ., & Muis, A. . (2023). Identification of Nervosa Disease using Case-Based Reasoning. Journal of Computer Networks, Architecture and High Performance Computing, 6(1), 128-136. https://doi.org/10.47709/cnahpc.v6i1.3227