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All Journal JPS Unimus Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA)
Nurhayati, Lilik
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Chemistry Computer Science & IT Education Environmental Science Physics Social Sciences Other

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Problem-Based Learning In The Era Of Globalization: Developing Global Skills And Digital Literacy In Learners Wibowo, Agung; Kurniawan, Hanif; Wulandari, Intan Ayu Idha; Balqis, Balqis; Nurhayati, Lilik
JURNAL PENDIDIKAN SAINS (JPS) Vol 13, No 1 (2025): JURNAL PENDIDIKAN SAINS UNIVERSITAS MUHAMMADIYAH SEMARANG
Publisher : Pendidikan Kimia Unimus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jps.13.1.2025.XX-XX

Abstract

Education is a lifelong process to develop human potential optimally. Education also aims to form people with character, competence and competitiveness in the era of globalization. One of the competencies that students must have in the era of globalization is global skills and digital literacy. The aim of this study is to enhance global skills and digital literacy regarding the growth and development of living organisms among high school students through the implementation of the Problem-Based Learning (PBL) model. This research employs a classroom action research design with both quantitative and qualitative data analysis. The subjects of the study are students of class XI E-4 at SMA Negeri 3 Malang, consisting of 13 male and 21 female students. Data analysis yielded global skill scores of 84.75 (Cycle I) and digital literacy scores of 85.17 (Cycle I), and global skill scores of 88.28 (Cycle II) and digital literacy scores of 90.16 (Cycle II). The results of the statistical analysis using the t-test also show a significant difference in the global skills variable (0.026 < 0.05) and digital literacy (0.002 < 0.05) across both learning cycles. These results indicate an improvement in both global skills and digital literacy among the students. Based on the research findings, the implementation of the PBL model is deemed necessary as one of the efforts to address the globalization era, particularly in fostering the global skills and digital literacy of students.
Web-Based Application for Toddler Nutrition Classification Using C4.5 Algorithm Hairani, Hairani; Nurhayati, Lilik; Innuddin, Muhammad
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 1 No. 2 (2022): September 2022
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v1i2.2387

Abstract

Health is something that is important for everyone, from year to year various efforts have been developed to get better and quality health. Good nutritional status for toddlers will contribute to their health and also the growth and development of toddlers. Fulfillment of nutrition in children under five years old (toddlers) is a factor that needs to be considered in maintaining health, because toddlerhood is a period of development that is vulnerable to nutritional problems. There are more than 100 toddler data registered at the Integrated Healthcare Center in Peresak Village, Narmada District, West Lombok Regency. The book contains data on toddlers along with the results of weighing which is carried out every month. However, to classify the nutritional status of toddlers, they are still going through the process of recording in a notebook by recording the measurement results and then looking at the reference table to determine their nutritional status. This method is still conventional or manual so it takes a long time to determine the nutritional status. Therefore, the solution in this study is to develop a web-based application for the classification of the nutritional status of children under five using the C4.5 method. The stages of this research consisted of problem analysis, collection of 197 instances of nutritional status datasets obtained from Integrated Healthcare Center Presak, analysis of system requirements, use case design, implementation using the C4.5 method, and performance testing based on accuracy, sensitivity, and specificity. The results of this study are a website-based application for the classification of the nutritional status of children under five using the C4.5 method. The performance of the C4.5 method in the classification of the nutritional status of toddlers using testing data as much as 20% gets an accuracy of 95%, sensitivity of 100%, and specificity of 66.6%. Thus, the C4.5 method can be used to classify the nutritional status of children under five, because it has a very good performance.
Co-Authors Agung Wibowo Balqis Balqis Hairani Hairani Kurniawan, Hanif Muhammad Innuddin Wulandari, Intan Ayu Idha