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Redtech Putra Benua
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Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA)
Published by CV Redtech Putra Benua
ISSN : 30631998     EISSN : 30631998     DOI : -
Core Subject : Science,
ournal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) is a journal publication formed and published by Research, Education, Development and Technology Putra Benua (REDTECH PUTRA BENUA). This journal contains scientific articles from academics, researchers and observers of information technology, computer engineering and artificial intelligence. The ITCEA Journal is published 2 times a year in August and February. This journal presents articles in the fields of information technology, computer engineering, artificial intelligence and all related scientific fields. Focus and Scope : Artificial Intelligence Big Data Causal Modeling Cloud Computing Computer Graphics and Multimedia Computer Networks Computer Vision Databases Deep Learning Digital Forensics and Security Educational Technology Human-Computer Interaction Information Systems Information Theory Intelligent System Internet of Things Machine Learning Medical Informatics Pattern Recognition Soft Computing Software Systems Text Analytics Wireless Communication
Articles 11 Documents
Desain Penerapan Tools Outomasi Penentuan Status Gizi Balita Pada Sistem Posyandu Menggunakan Naive Bayes Nugroho, Didik; Tomo, Sri; Arie Febrianto, Raden
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 2 No. 2 (2025): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Abstract

Status gizi adalah salah satu tolok ukur perkembangan anak.  WHO menetapkan 3 tabel untuk menentukan kondisi perkembangan balita yaitu Umur balita dan berat badan (C1) ,  Usia  dan Tinggi badan (C2), dan   Standar Berat Badan Menurut Tinggi Badan (C3). Lalu bagimana berdasrkan tiga tabel tersebut dapat dioakai untuk menentukan status gizi anak. Hal ini masih menyulitkan bagi kader posyandu. Maka perlu dikembangkan sistem yang mampu menentukan status gizi . Penelitian ini menggunkan data training , serta dengan data testing berdasarkan data observasi . Penentuan status gizi menggunakan metode Naïve Bayes  , pengujian menggunakan Confusion  Matrix. Hasil penelitian ini berhasil membuat sistem yang mampu menentukan status gizi, berdasarkan hasi uji data testing menunjukan nilai 100%.

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