Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
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All Journal Journal of Informatics, Electrical and Electronics Engineering Journal of Physical Education Health and Sport
Zihan Maharani
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Other

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Profile of Life Skills of Elementary School Students Who Participate in Sports Extracurricular Activities at Public Elementary School 053 Cisitu Zihan Maharani; Didin Budiman; Ricky Wibowo
Journal of Physical Education Health and Sport Vol. 12 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpehs.v12i1.29612

Abstract

This study aims to examine the life skills profiles of elementary school students who participate in extracurricular sports activities, specifically futsal and pencak silat, at Public Elementary School 053 Cisitu, Bandung. Using a quantitative descriptive comparative approach, the study involved 42 students aged 11–12 years selected through total sampling. The Positive Youth Development Sustainability Scale (PYDSS) was used as the instrument, which includes six indicators: character, competence, connection, caring, confidence, and contribution. Data analysis included descriptive statistics, normality and homogeneity tests, and independent sample t-tests. The results showed that most students had high (47.6%) to very high (28.6%) life skill levels. Although the average score of futsal participants (108.80) was slightly higher than that of pencak silat participants (107.27), the difference was not statistically significant (p = 0.653). These findings suggest that both team-based and individual sports contribute positively to students’ life skill development. The study emphasizes the importance of well-designed extracurricular programs as a medium for character building and psychosocial development in basic education. 
Implementasi Naïve Bayes untuk Memprediksi Tingkat Kunjungan Pelanggan Menggunakan Algoritma Naïve Bayes Nazwa Adelia Putri; Zihan Maharani; Ilona Dwi Shelvani; Harly Okprana
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 1 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i1.2474

Abstract

This study aims to implement the Naive Bayes algorithm in predicting customer visit rates at Kyemoona Kitchen by utilizing available historical data. With the development of digital technology, data analysis has become an important aspect in supporting business decision making. However, manual analysis of complex and diverse data can be challenging. Therefore, a machine learning-based approach, specifically Naive Bayes, is used to explore patterns in big data and generate accurate predictions. In this study, the data collected includes variables such as visit time, promotion type, weather conditions, holidays, and other factors. The Naive Bayes model achieved an accuracy of 85.6%, with other evaluation metrics such as precision of 82.4%, recall of 84.2%, and F1-score of 83.3%. The results show that this algorithm can identify significant factors, such as promotions and weather conditions, that affect customer visits. This study not only provides practical insights for Kyemoona Kitchen in planning data-driven operational strategies, but also aims to inspire other small and medium-sized enterprises (SMEs) to adopt similar analytical technologies. However, this study has limitations, such as dependence on data quality, which can affect the accuracy of the model. Therefore, it is recommended that future research combine Naive Bayes with other algorithms and use larger datasets for more reliable results.
Co-Authors Didin Budiman Harly Okprana Ilona Dwi Shelvani Nazwa Adelia Putri Ricky Wibowo