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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA)
M. Safii
AMIK Tunas Bangsa Pematangsiantar, North Sumatra
Automotive Engineering Computer Science & IT Control & Systems Engineering

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Grouping of Toddlers with Malnutrition Based on Provinces in Indonesia Using K-Medoids Algorithm Sri Anita Siallagan; M. Safii
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 1 (2021): October 2021
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (785.331 KB) | DOI: 10.53842/jaiea.v1i1.53

Abstract

Malnutrition is a poor health condition in infants and toddlers caused by a lack of nutritional intake. Babies and toddlers who suffer from malnutrition will experience conditions of slowness in development, slowness in thinking, underweight and so on. Malnutrition can be prevented by complete immunization from birth, providing good nutrition for their development, and so on. The purpose of this study was to determine the results of the grouping of provinces with the highest malnutrition sufferers using the K-Medoids method which is part of Data Mining. The K-Medoids method is a clustering method that can break the dataset into several groups. In this study, the data used were sourced from the Central Statistics Agency in 2016 – 2018. The results of this clustering will later show the province which is the toddler with the highest malnutrition. This research is expected to provide information for the government regarding the grouping of children under five with malnutrition in Indonesia.
Application of the C4.5 Algorithm in Teaching Teachers' Skills on Learning Effectiveness Feby Widya Sari; M. Safii
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 1 (2021): October 2021
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1211.737 KB) | DOI: 10.53842/jaiea.v1i1.54

Abstract

Teachers as educators and education personnel have a very important role in improving the quality of education in schools. In an effective teaching and learning process, teacher skills in teaching are very important. This study aims to classify the skills of teachers in SMA Yayasan Pendidikan Keluarga using the Decision Tree method with the application of the C4.5 Algorithm in order to improve the teaching system in an effort to increase students' understanding of the learning process. In determining the teaching skills of teachers, classification is carried out into the labels "Relevant" and "Not Relevant" which has 5 variables, namely Age, Length of Work, Number of Teaching Hours, Students, and Learning Media. Sources of data used in this study obtained by conducting observations and interviews.
Analysis of Decreased Public Awareness in the Application of Health Protocols with the C4.5 . Algorithm Retno Arfika; M. Safii
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 1 (2021): October 2021
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (427.989 KB) | DOI: 10.53842/jaiea.v1i1.56

Abstract

The purpose of this study is to determine the dominant factors that affect the decline in public awarenesson the application of health protocols using the C4.5 Algorithm. Sources of data used in this study obtained by conducting observations and interviews. The variables used include (1) Employment, (2) Environment, (3) Sanctions and (4) Concern. The research test process uses RapidMiner software to create a decision tree. The results obtained 6 rules with 4 rules decreasing status and 2 rules increasing status. The level of accuracy obtained is 100%. The results of this study are expected to be input for the surrounding community to better understand the importance of implementing health protocols at this time, so that they can help the Government to succeed in the health protocol awareness program in inhibiting the spread of Covid-19 in Indonesia.
Co-Authors Feby Widya Sari Retno Arfika Sri Anita Siallagan