p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal DISPROTEK
Claim Missing Document
Check
Articles

Found 2 Documents
Search

COMPARISON OF C4.5 ALGORITHM WITH THE NAVE BAYES CLASSIFIER ALGORITHM FOR CLASSIFICATION OF NUTRITIONAL STATUS OF TOODLER Sofia Ulfah
Jurnal DISPROTEK Vol 13, No 1 (2022)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v13i1.3044

Abstract

So far, Body Mass Index (BMI) is used as a measuring tool to assess a person's nutritional status. If there are two who have the same weight and height, they may have different nutritional status. Anthropometric measuring tools play a very important role in determining the nutritional status. The anthropometric guidelines for determining nutritional status are the parameters chosen and recommended, which include an assessment of age, weight, body length or height. On the other hand, technological developments are currently increasing and giving a great influence in almost every sector of life and the state. The process of globalization that occurs in every country in the world today also supports the development and use of technology. The need for information will increase along with the development of technology. Several methods are used to process large data to find the patterns contained in them, including the C4.5 Algorithm and the Naïve Bayes Classification Algorithm which are algorithms from the decision tree method and Bayes theorem. The C4.5 and NBC algorithms will be used for the classification of the nutritional status of children under five, which will be classified into five classes, namely normal, fat, very fat, thin, or very thin.
IMPLEMENTATION OF CODING FOR CHANGE TRAINING TO ENHANCE PROGRAMMING SKILLS AND ARTIFICIAL INTELLIGENCE LITERACY AMONG HIGH SCHOOL STUDENTS Purwati; Sofia Ulfah; A. Faiq Abror; Nila Ayu Kusuma Wardani; Nur Ahmad Budi Yulianto
Jurnal Disprotek Vol. 17 N0. 2 (2026)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v172.10054

Abstract

The rapid advancement of digital technology and Artificial Intelligence (AI) requires students to develop programming skills, computational thinking, and digital literacy to meet the demands of the twenty-first century. However, programming instruction at the secondary school level remains predominantly theoretical, providing limited opportunities for hands-on practice and AI literacy development. This study aims to analyze the implementation of the Coding for Change training program in improving programming skills and Artificial Intelligence literacy among students at SMA Negeri 1 Nalumsari Jepara. A qualitative descriptive approach was employed in this study. Data were collected through classroom observations, documentation, and participants’ reflections throughout the training activities. Data analysis followed the interactive model of Miles, Huberman, and Saldaña, including data reduction, data display, and conclusion drawing. The findings indicate that the implementation of learning by doing and Project-Based Learning effectively improved students’ understanding of fundamental Python programming concepts, their ability to complete simple programming projects, and their awareness of Artificial Intelligence applications in creative activities. Participants demonstrated high engagement during the training and successfully implemented programming concepts through Google Colab and AI-assisted design using Canva AI. Furthermore, integrating programming instruction with AI literacy created a more contextual learning experience, enhanced students’ learning motivation, strengthened computational thinking skills, and improved their readiness to face digital transformation. This study contributes to the development of project-based Informatics learning models aligned with twenty-first-century competencies and provides an alternative framework for community engagement programs aimed at strengthening students’ digital competencies.