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All Journal Jifosi International Journal Of Computer, Network Security and Information System (IJCONSIST)
Vinza Hedi, Satria
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Computer Science & IT

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Implementation of the Naive Bayes Method for Stunting Classification in Children Under Five Years Old (Balita). Sulthan Ahmad, Ferdiansyah; Muhammad Farhan , Maulana; Akmal Aliffandhi , Anwar; Muhammad Rifki Bahrul , Ulum; I Gede Susrama , Diyasa; Vinza Hedi, Satria
IJCONSIST JOURNALS Vol 6 No 2 (2025): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v6i2.157

Abstract

The issue of stunting in Indonesia has become a serious concern, drawing significant attention from the government. To address this problem, the government has set a target to reduce the stunting prevalence rate to 14% by 2024. As an initial step in supporting this goal, the present study aims to classify the nutritional status of children under five years old using the Naive Bayes method. The objective of this research is to evaluate the performance of the Naive Bayes algorithm in classifying the nutritional status of children under five, with a focus on body weight, height, and exclusive breastfeeding intake as predictors of stunting. The research process includes several stages, namely problem formulation, data collection, data preprocessing, data splitting, model construction, model training, model evaluation, and result analysis. The findings of this study indicate that the Naive Bayes method achieved an accuracy of 70% in classifying stunting among children under the age of five, with an F1-score evaluation of 70%.
Perbandingan Kualitas Bentuk Alphabet Rune Menggunakan Region Api Polygon Dan Non-Polygon Rizky, Parlika; Vinza Hedi, Satria; Permana Putra, Syahrul; Muhammad, Arik Sunanul Huda; Regina, Caeli Endyarni; Rilla, Shadina Arifin; Aprinda, Laurenta Dini
JIFOSI Vol. 6 No. 3 (2025): Inovasi Teknologi Informatika untuk Media Pembelajaran, Pengolahan Visual, dan
Publisher : UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifosi.v6i3.559

Abstract

Penelitian ini membandingkan kualitas visual Alphabet Rune yang dihasilkan menggunakan Region API Polygon dan Non-Polygon pada Visual Basic 6.0. Lima huruf Rune (Laguz, Mannaz, Tiwaz, Sowilo, Manaz) diimplementasikan dengan kedua metode dan dievaluasi melalui kuesioner terhadap 24 responden. Hasil menunjukkan metode Polygon secara signifikan lebih unggul dengan rata-rata skor 4.52 dibandingkan Non-Polygon (2.69) pada aspek kemiripan bentuk, kejelasan visual, dan kerapian grafis. Temuan ini mengonfirmasi bahwa Polygon lebih sesuai untuk karakter dengan geometri linier-angular seperti Alphabet Rune.
Co-Authors Akmal Aliffandhi , Anwar Aprinda, Laurenta Dini I Gede Susrama , Diyasa Muhammad Farhan , Maulana Muhammad Rifki Bahrul , Ulum Muhammad, Arik Sunanul Huda Permana Putra, Syahrul Regina, Caeli Endyarni Rilla, Shadina Arifin Rizky, Parlika Sulthan Ahmad, Ferdiansyah