Sistem Pakar untuk Menentukan Status Gizi pada Balita dengan Menggunakan Metode Certainty Factor
DOI:
https://doi.org/10.55606/jutiti.v5i1.5138Keywords:
toddlers' nutritional status, expert system, Certainty FactorAbstract
Nutrition is an important factor in the growth and development of toddlers. Good nutritional status has a significant impact on their health and future. On the other hand, nutritional issues in toddlers can lead to serious consequences, with the risk of causing death. However, many parents struggle to determine their child's nutritional status due to limited knowledge caused by a lack of education on nutrition, financial constraints, busy work schedules, and infrequent visits to healthcare facilities for nutritional check-ups. As a solution, this research develops an expert system to determine the nutritional status of toddlers using the Certainty Factor method. The Certainty Factor method is chosen for its ability to generate a level of certainty in diagnoses, helping parents understand their child's nutritional condition. Based on the research results, this system has been implemented with an accuracy rate of 96.15%. Therefore, this expert system can serve as an accurate and reliable tool, especially for parents in determining their toddler's nutritional status.
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References
Adityasari, M. P. (2021, November 21). Memahami status gizi menurut WHO dan cara menghitungnya. Nutriclub. https://www.nutriclub.co.id/artikel/tumbuh-kembang/1-tahun/status-gizi-menurut-who
Afiana, F. N., & Yunita, I. R. (2019). Aplikasi “GIZIe” untuk mengetahui status gizi balita menggunakan metode forward chaining. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 3(2), 297–303.
Azmi, Z., & Yasin, V. (2017). Pengantar sistem pakar dan metode (Introduction of Expert System and Methods). Mitra Wacana Media.
Borrneo, A. H. (2022, October 14). Mengenal penilaian status gizi langsung dan tidak langsung. STIKES HB. https://stikeshb.ac.id/mengenal-penilaian-status-gizi-langsung-dan-tidak-langsung/
Dian, R., Sumijan, & Yuhandri, Y. (2020). Sistem pakar dalam identifikasi kerusakan gigi pada anak dengan menggunakan metode forward chaining dan certainty factor. Jurnal Sistem Informasi dan Teknologi, 2(3), 65–70. https://doi.org/10.37034/jsisfotek.v2i3.24
Hartati, S., & Iswanti, S. (2008). Sistem pakar & pengembangannya. Graha Ilmu.
Iqbal, M., Wijaya, M. A., Apandi, T. H., & Nurlani, L. (2022). Sistem pakar diagnosa status gizi balita dengan metode naïve Bayes classifier di Desa XYZ. Jurnal Informatika dan Komputer, 5(3), 201–208. https://doi.org/10.33387/jiko
Mustaqim, M., Ramadhan, G., & Iskandar, A. (2024). Perbandingan metode certainty factor dan case based reasoning dalam mendeteksi penyakit Arteritis Takayasu. Media Online, 4(4), 2188–2196. https://doi.org/10.30865/klik.v4i4.1735
Ramadityo, D. (2023, August 29). Masalah gizi, permasalahan kita bersama. Ayo Sehat Kemenkes. https://ayosehat.kemkes.go.id/masalah-gizi-permasalahan-kita-bersama
Rulisman, & Reswan, Y. (2022). Analisis perbandingan algoritma certainty factor dan algoritma naïve Bayes dalam mendiagnosa penyakit katarak. Journal Innovation Informatics (JII), 1(3), 170–175.
Santi, I. H., & Andari, B. (2019). Sistem pakar untuk mengidentifikasi jenis kulit wajah dengan metode certainty factor. Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi, 3(2), 159–177.
Vandelweiss, D. A., Fauzi, A., Kusumaningrum, D. S., & Baihaqi, K. A. (2024). Penentuan status gizi pada balita menggunakan fuzzy inference system dengan metode fuzzy Tsukamoto. Terapan Informatika Nusantara, 5(1), 23–31. https://doi.org/10.47065/tin.v5i1.5188
Wahyudi, M. H. (2018). Sistem pendukung keputusan penentuan status gizi balita menggunakan metode naïve Bayes (pp. 25–30).
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