Sistem Pakar Diagnosis Penyakit Gizi Pada Balita Dengan Menggunakan Metode Dempster Shafer
DOI:
https://doi.org/10.62951/modem.v2i3.132Keywords:
Dempster Shafer, Expert System, Toddler Nutritional DiseasesAbstract
Children under five are more at risk of experiencing nutritional disorders because during this period children will experience very rapid growth and development. Nutritional disorders can result in children's performance in activities not being optimal, hampering the growth and development process, and can even cause disease. Malnutrition sufferers in Indonesia are increasing every year, and the percentage of malnutrition in Indonesia is around 3.4%. An expert system is a computer-based system built based on facts, knowledge and reasoning that can help solve a problem. However, to measure the uncertainty and level of expert confidence in identifying and detecting malnutrition, an expert system can use the Dempster-Shafer method. The results of testing the system model using the Dempster-Shafer method on toddler nutritional diseases obtained quite good results with system accuracy of 84% with a precision value of 81.83% and also a recall value of 80%.
Downloads
References
Endang Lestari1, E. U. A. (2017). Khazanah informatika Shafer untuk diagnosis gangguan layanan Indihome di PT Telkom. Khazanah Informatika, 16-24.
Haris, A., & Amri, M. (2024). Peran zakat dalam mengatasi stunting dan gizi buruk di Kabupaten Brebes. Mabsya, 6(1), 1-30. https://doi.org/10.24090/mabsya.v6i1.10706
Hasibuan, P. S., & Batubara, M. I. (2019). Penerapan metode Dempster Shafer dalam mendiagnosa penyakit faringitis. Jurnal Multitek Indonesia, 3(1), 59-64. https://doi.org/10.30865/mib.v3i1.1061
Ike Ate Yuviska, D. Y. (2023). Manfaat nugget lele untuk mengatasi balita BGM (bawah garis merah) pada balita di Desa Merak Batin Dusun Citerep Kecamatan Natar Lampung Selatan. Jurnal Gizi dan Kesehatan, 5(2), 281-286.
Istiadi, I., Sulistiarini, E. B., Joegijantoro, R., & Effendy, D. U. (2020). Infectious disease expert system using Dempster Shafer with recommendations for health services. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 4(1), 17-27. https://doi.org/10.29207/resti.v4i1.1332
Kemenkes RI. (2022). Status Gizi SSGI 2022. BKPK Kemenkes RI, 1-156. https://promkes.kemkes.go.id/pub/files/files52434Buku%20Saku%20SSGI%202022%20rev%20210123.pdf
Megi Afroka, A. K. (2022). Sistem pakar kebutuhan gizi pada balita dengan metode forward chaining berbasis web. Jurnal Sistem Informasi, 1(1), 33-41.
Pati, M. I., Defit, S., & Nurcahyo, G. W. (2020). Sistem pakar dengan metode forward chaining untuk diagnosis penyakit dan hama tanaman semangka. Jurnal Sistim Informasi dan Teknologi, 2, 1-11. https://doi.org/10.37034/jsisfotek.v2i4.30
Pratiwi, Z. & Q. (2018). Sistem pakar rekomendasi kebutuhan gizi. Jurnal Sistem Pakar, 37-42.
Yulianto, M. T., Mulyani, A., Gizi, K., Ideal, B. B., & Sari, M. (2019). Aplikasi mobile dokter gizi berbasis android. Jurnal Gizi Indonesia, 6(1), 2-7.
Zara, N., Nadira, C. S., Mutia, C. M., & Siregar, D. A. (2022). Promosi kesehatan kasus gizi buruk dan stunting pada anak usia 30 bulan di Desa Punti Matang Kuli Kabupaten Aceh Utara tahun 2022. Galenical: Jurnal Kedokteran Dan Kesehatan Mahasiswa Malikussaleh, 1(2), 59. https://doi.org/10.29103/jkkmm.v1i2.8089
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Modem : Jurnal Informatika dan Sains Teknologi.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
