IMPLEMENTATION OF THE DECION TREES C4.5 ALGORITHM ON MICROSOFT EXCEL FOR THE CASE OF DETERMINING THE NUTRITIONAL STATUS OF TODDLERS

Ni Made Wulan Susanti, Kadek Dwi Citarini, Sellina Lidya, Septianing Indah Aninditha Putri, Citra Akiko Putri

Abstract


Nutritional problems in Indonesia currently need attention, especially for toddlers. Many diseases are caused by poor nutritional status, especially in toddlers nutrition. In this study, the C.45 decision tree algorithm was applied in Microsoft Excel to analyze the nutritional status of toddlers of the Posyandu in Wonorejo, Krasa District, Simalungun Regency, namely Posyandu Kenanga. The calculation results show an accuracy of 97%. Of the 50 samples, each has 5 components including gender, weight, head circumference, height, and age. We also found that weight was the most influential factor on the nutritional status of children under five. This study suggests parents pay more attention to their children's weight to get good nutritional status for toddlers.

Full Text:

PDF

References


Yuliana and Pratomo,D.B. (2017). Algorithma Decision Tree (C4.5) untuk memprediksi kepuasan mahasiswa terhadap kinerja dosen politeknik TEDC Bandung. Seminar Nasional Inovasi Teknologi, UN PGRI Kediri. 377-384. Accessed June 29, 2021. https://adoc.pub/algoritma-decision-tree-c45-untuk-memprediksi-kepuasan-mahas.html

Elvicienna and Amalia,H. (2013). Algorithma C4.5 untuk prediksi hasil pemilihan legislatif DPRD DKI Jakarta. Techno Nusa Mandiri Vol. X No.1. 48-56. Accessed June 29, 2021. https://core.ac.uk/reader/229771595

Nawawi et. al., 2019. (2019). Algorithma C4.5 untuk Memprediksi Pengambilan Keputusan Memilih Deposito Berjangka. Techno Nusa Mandiri Vol.16, No.1. 65-72. Accessed June 29, 2021. https://core.ac.uk/download/pdf/229771467.pdf

Iykra. (2018,). Mengenal Decision Tree dan Manfaatnya. Accessed June 28, 2021, https://medium.com/iykra/mengenal-decision-tree-dan-manfaatnya-b98cf3cf6a8d

Kesmas. (2013). Pengertian, Tujuan, dan Kegiatan Posyandu. Accessed June 29, 2021. http://www.indonesian-publichealth.com/manajemen-posyandu/

Faridatul, Choiriyah. (2015). Implementasi Metode Naive Bayes Sebagai Penentu Status Gizi Balita (Studi Kasus Puskesmas Dukuh Kupang Surabaya). Accessed April 15, 2021. http://eprints.umg.ac.id/2028/4/BAB%20III.pdf


Refbacks

  • There are currently no refbacks.




Editorial Office:

President University Actuarial Science: Jalan Ki Hajar Dewantara, Mekarmukti, Cikarang Utara, Bekasi 17530