Sistem Pakar Diagnosa Penyakit Berisiko Di Setiap Status Gizi Berdasarkan Indeks Massa Tubuh Menggunakan Metode Hy-brid Case Base

Rifqhy Rayhan Andi Riga Pratama(1), Norhikmah Norhikmah(2*)

(1) Amikom Yogyakarta University
(2) 
(*) Corresponding Author

Abstract


Nutritional status is an indicator of health for a person which is divided into four classifications, namely, Obesity, Overweight, Normal Weight, and Underweight. and nutritional status can be obtained by calculating the body mass index (BMI) of the person by dividing the body weight (kg) by the height (m2). after knowing the nutritional status, a diagnosis can be made by applying the Hybrid Case Base method. Applicationing of this method is too precise because it can provide accurate diagnostic results because this method combines two methods, namely Case Based Reasoning and Rule Based Reasoning. With this expert system, it can help people to find out their nutritional status and whether they have a risky disease or not, especially for people who don't have a lot of free time to consult with doctors so they can do it only by using the expert system that has been created. This method is quite fast and practical and provides accurate diagnostic results as well.

Full Text:

PDF (Indonesian)

References


N. M. A. A. Paramesti, “Status Gizi Anak Sekolah Berdasarkan Tingkat Pengetahuan Gizi Ibu Dan Komposisi Menu Bekal Sekolah,” Poltekkes Kemenkes Denpasar, Bali, 2021.

N. R. Aulia “Peran Pengetahuan Gizi Terhadap Asupan Energi, Status Gizi Dan Sikap Tentang Gizi Remaja,” Jurnal Ilmiah Gizi dan Kesehatan, vol. 2, no. 2, pp. 13-35, 2021.

Y. Wiranata and I. Inayah, “Perbandingan Penghitungan Massa Tubuh Dengan Menggunakan Metode Indeks Massa Tubuh (IMT) dan Bioelectrical Impedance Analysis (BIA) The Comparison of Body Mass Calculation by Using Body Mass Index (BMI) and Bioelectrical Impedance Analysis (BIA) Methods,” J. Man. Kes. Yayasan RS. Dr. Soetomo, vol. 6, no. 1, pp. 43-51, 2020.

B. H. HAYADI, Sistem Pakar, vol. 14x20 cm. Yogyakarta: Deepublish, 2018.

D. Aldo, “Sistem Pakar Diagnosis Hama Dan Penyakit Bawang Merah Menggunakan Metode Dempster Shafer,” Komputika : Jurnal Sistem Komputer, vol. 9, no. 2, pp. 85–93, 2020.

A. Desiani and M. Arhami, Konsep Kecerdasan Buatan, Yogyakarta: ANDI, 2006.

A. Imran, “Implementasi Sistem Pakar Diagnosa Penyakit Epistaksis Pada Manusia Menggunakan Metode Hybrid Case Based Dan Rule Based Reasoning,” J. Maj. Ilm. Inf. dan Teknol. Ilm., vol. 7, no. 1, pp. 85–92, 2019.

N. B. Ginting, G. Ginting, and N. Silalahi, “Sistem Pakar Mendiagnosa Penyakit Sampar Menggunakan Metode Hybrid Case Based,” Jurnal Media Informatika Budidarma, vol. 3, no. 1, pp. 65-71, Mar. 2019.

F. Erwis, D. Suherdi, A. Pranata, and A. H. Nasyuha, “Penerapan Metode Hybrid Case Base Pada Sistem Pakar Diagnosa Penyakit Obesitas,” Jurnal Media Informatika Budidarma, vol. 6, no. 1, pp. 378-385, 2022.

M. A. Irfandi, A. Romadhony, and S. Saadah, “Implementasi Sistem Pakar Diagnosa Penyakit Gigi Dan Mulut Menggunakan Metode Hybrid Case-Based Dan Rule-Based Reasoning,” School of Computing, Telkom University, 2015.

P. Tarigan, “Sistem Pakar Untuk Mendiagnosa Penyakit Disentri Dengan Menggunakan Metode Hybrid Case Based,” J. Tek. Inform. Kaputama, vol. 2, no. 1, pp. 105–114, 2018.




DOI: http://dx.doi.org/10.30998/faktorexacta.v16i3.17686

Refbacks

  • There are currently no refbacks.




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

template doaj grammarly tools mendeley crossref SINTA sinta faktor exacta   Garuda Garuda Garuda Garuda Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Flag Counter

site
stats View Faktor Exacta Stats


pkp index