Expert System Application for Determining Toddler Nutrition Status Using the Mamdani Fuzzy Method

Authors

  • Slamet Kacung Program Studi Teknik Informatika, Universitas Dr. Soetomo
  • Anik Vega Vitianingsih Program Studi Teknik Informatika, Universitas Dr. Soetomo, Surabaya http://orcid.org/0000-0002-1651-1521
  • Dani Sufianto Program Studi Teknik Informatika, Universitas Dr. Soetomo
  • Anastasya Lidya Maukar Program Studi Teknik Industri, President University, Bekasi
  • Fitri Marisa Program Studi Teknik Informatika,Fakultas Teknik, Universitas Widyagama, Malang

DOI:

https://doi.org/10.26418/justin.v12i3.75976

Keywords:

Expert System Application, Determination of Nutritional Status of Toddlers, Fuzzy Method, Fuzzy Mamdani.

Abstract

Malnutrition is still a national issue that affects many regions in Indonesia. The use of the Kartu Menuju Sehat (KMS) is considered less than optimal because of frequent recording errors due to the loss of the card, making it impossible to properly monitor the nutritional status of toddlers. In addition, people, especially parents, want to know whether their toddler's diet is adequate or not. Based on these problems, an application is needed to determine the nutritional status of toddlers. This research is important to assist medical personnel in assessing the nutritional status of toddlers and can be relied upon for accuracy through an expert system application. This research aims to develop an expert system application that utilizes the Fuzzy Mamdani method to identify the nutritional status of toddlers based on weight, age, height, and arm circumference parameters. The stages in this research include identifying parameters that affect nutritional status through sources of expertise from doctors, determining sets and rules in the fuzzy method, system implementation, system evaluation, and optimization. The results stated that the Fuzzy Mamdani method has an accuracy value of 90.2% in detecting the nutritional status of toddlers. The acceptance test of the application display assessment resulted in 92.5%, the ease of use of the application was 85.83%, and system analysis resulted in 90.83%.

References

Badan Pusat Statistik, Profil Kesehatan Ibu dan Anak 2022. 2022.

S. Winiarti, H. Yuliansyah, and A. A. Purnama, “Identification of Toddlers’ nutritional status using data mining approach,†Int. J. Adv. Comput. Sci. Appl., vol. 9, no. 1, pp. 164–169, 2018.

D. R. Putri and E. Sudarmilah, “Monitoring Status Gizi Balita Secara Online,†JUITA J. Inform., vol. 8, no. 1, p. 101, 2020.

P. D. Kartini, “Klasifikasi Status Gizi Balita Berdasarkan Indeks Anthropometri Bb/U Menggunakan Metode KNN (K-Nearest Neighbor),†Univ. Nusant. PGRI Kediri, vol. 01, no. 11, pp. 1–6, 2017.

M. A. Fauzan, Y. Nurmalasari, and A. Anggunan, “Hubungan Status Gizi dengan Prestasi Belajar,†J. Ilm. Kesehat. Sandi Husada, vol. 10, no. 1, pp. 105–111, 2021.

D. Ayu, N. Wulandari, and A. Prasetyo, “Sistem Penunjang Keputusan Untuk Menentukan Status Gizi Balita Menggunakan Metode Fuzzy Tsukamoto,†J. Inform., vol. 5, no. 1, pp. 22–33, 2018.

R. M. Kusuma and R. A. Hasanah, “Antropometri Pengukuran status gizi anak usia 24-60 bulan di Kelurahan Bener Kota Yogyakarta,†Med. Respati J. Ilm. Kesehat., vol. 13, no. 4, pp. 36–42, 2018.

C. N. Adha, T. N. Prastia, and W. Rachmania, “Gambaran Status Gizi Berdasarkan Lingkar Lengan Atas Dan Indeks Massa Tubuh Pada Mahasiswi Fikes Uika Bogor Tahun 2019,†Promotor, vol. 2, no. 5, pp. 340–350, 2019.

I. G. I. Sudipa et al., MULTI CRITERIA DECISION MAKING: Teori & Penerapan Metode Pengambilan Keputusan dengan MCDM. PT. Sonpedia Publishing Indonesia, 2023.

S. J. Susilo, S. Supatman, and S. Supatman, “Sistem Pendukung Keputusan Penentuan Status Gizi Balita Dengan Metode Fuzzy Tahani (Menggunakan Standar Antropometri Anak),†J. Inf. J. Penelit. dan Pengabdi. Masy., vol. 7, no. 1, pp. 1–7, Jun. 2021.

S. Informatika and A. Polinema, “Pengembangan Website Sistem Pendukung Keputusan Untuk Menentukan Gizi Balita Di Kota Kediri Menggunakan Metode Fuzzy Mamdani,†SIAP), p. 2020.

A. Gustiani, M. D. Apriansyah, and P. Rosyani, “Analisis LogikaFuzzy Mamdani dalam Pengenalan Rambu Lalu Lintas pada Sistem Gambar,†vol. 01, no. 01, pp. 1–7, 2023.

S. Widaningsih, “Analisis Perbandingan Metode Fuzzy Tsukamoto, Mamdani dan Sugeno dalam Pengambilan Keputusan Penentuan Jumlah Distribusi Raskin di Bulog Sub. Divisi Regional (Divre) Cianjur,†Infoman’s, vol. 11, no. 1, pp. 51–65, 2017.

N. A. T. Wahyuni, A. C. Fauzan, and H. Harliana, “Implementasi Algoritma Fuzzy Tsukamoto Untuk Penilaian Kinerja Pegawai Universitas Nahdlatul Ulama Blitar,†J. Autom. Comput. Inf. Syst., vol. 1, no. 2, pp. 75–88, 2021.

M. H. Uchyana and H. Mustafidah, “Penilaian Kepuasan Konsumen Menggunakan Metode Fuzzy Tsukamoto Pada Produk Knalpot Di R1 Racing Exhaust Sokaraja,†Sainteks, vol. 17, no. 1, p. 83, 2020.

Y. Yudihartanti, “Analisis Komparasi Metode Fuzzy Mamdani Dan Sugeno DALAM PENJADWALAN MATA KULIAH,†Progresif, vol. 7, no. 2, pp. 731–780, 2011.

M. Martin and L. Nilawati, “Model Fuzzy Mamdani Untuk Penilaian Tingkat Kepuasan Pelayanan Pengaduan Masyarakat,†J. Inform., vol. 5, no. 2, pp. 237–247, 2018.

E. Febriyanto, U. Rahardja, A. Faturahman, and N. Lutfiani, “Sistem Verifikasi Sertifikat Menggunakan Qrcode pada Central Event Information,†Techno.Com, vol. 18, no. 1, pp. 50–63, 2019.

D. A. Mawsally and E. Sudarmilah, “A Virtual-Reality Edu-Game: Save The Environment from the Dangers of Pollution,†Khazanah Inform. J. Ilmu Komput. dan Inform., vol. 5, no. 2, pp. 140–145, 2019.

Downloads

Additional Files

Published

2024-07-31

Issue

Vol. 12 No. 3 (2024)

Section

Articles

License

Copyright (c) 2024 JUSTIN (Jurnal Sistem dan Teknologi Informasi)

Creative Commons License

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

The author owns the copyright in his paper and agrees to publish his paper to JUSTIN by giving the rights to the first publication of his paper which is simultaneously licensed under the Creative Commons Attribution License, namely the Similar International 4.0 license (CC BY-NC-SA 4.0).  

                             

This is a human-readable summary of (and not a substitute for) the license. Disclaimer.

You are free to:
Share "” copy and redistribute the material in any medium or format
Adapt "” remix, transform, and build upon the material
The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:
Attribution "” You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial "” You may not use the material for commercial purposes.
ShareAlike "” If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
No additional restrictions "” You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.