Rancang Bangun Aplikasi Pembelajaran Paud Berbasis Web dengan Fitur Gamifikasi pada Kober Boafeo
DOI:
https://doi.org/10.54259/satesi.v5i2.5551Keywords:
Information Technology, Web-Based Learning, Gamification, PAUD, Learning ApplicationAbstract
Traditional learning methods in Early Childhood Education (PAUD), such as textbooks and blackboards, are still widely used and tend to be less engaging, resulting in passive and less motivated students. This study aims to design and develop a web-based learning application with gamification features for PAUD Desa Boafeo. The development process employed the waterfall method through stages of requirement analysis, system design, implementation, and testing. The application includes features such as counting, number recognition, and word spelling, enhanced with gamification elements to create a more interactive and enjoyable learning experience. Black box testing results indicate that all features function as intended. The findings conclude that the proposed application supports teachers in delivering materials effectively and contributes to improving students’ learning motivation and overall learning effectiveness.
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References
Zaradiya Audrey Tritania, “Analisis penggunaan Jilbab dan Perawatan Rambut terhadap Kesehatan Kulit Kepala Dan Rambut Pada Mahasiwi Berjilbab,” vol. 12, no. 2, pp. 88–94, 2023, doi: https://doi.org/10.26740/jtr.v12n2.53889.
Nada Naurah, “Survei: Sebagian Besar Orang Indonesia Alami Permasalahan Rambut Rontok,” goodstats.id. [Online]. Available: https://goodstats.id/article/survei-sebagian-besar-orang-indonesia-alami-rambut-rontok-ojtfz
dr. Pittara, “Pengertian Rambut Rontok,” alodokter.com. [Online]. Available: https://www.alodokter.com/rambut-rontok
O. Saad, A. Darwish, and R. Faraj, “A survey of machine learning techniques for Spam filtering,” J. Comput. Sci., vol. 12, no. 2, pp. 66–73, 2012.
M. S. Hasibuan, D. Fransisca, J. Magister, T. Informatika, and F. I. Komputer, “Penggunaan Algoritma Naive Bayes dan Particle Swarm Optimization ( PSO ) untuk Mendeteksi Stroke,” pp. 109–118, 2022, doi: https://doi.org/10.31284/j.integer.0.v9i1.5738.
Darussalam, “Implementasi Algoritma Naive Bayes untuk Klasifikasi Kesehatan Rambut,” Universitas Sulawesi Barat, 2024.
H. Hartono, A. Hajjah, and Y. N. Marlim, “Penerapan Metode Naïve Bayes Classifier Untuk Klasifikasi Judul Berita Application of the Naïve Bayes Classifier Method for News Title Classification,” vol. 12, no. 1, pp. 37–46, 2023, doi: https://doi.org/10.21107/simantec.v12i1.19398.
R. Anggriawan and H. W. Nugroho, “Komparasi Algoritma C4.5 dan Naive Bayes Dalam Prediksi Penderita Penyakit Gagal Jantung,” J. SIMADA (Sistem Inf. dan Manaj. Basis Data), vol. 6, no. 1, pp. 82–91, 2023, doi: 10.30873/simada.v6i1.3425.
N. Shah and K. Shah, “Introduction to Data Mining,” Pract. Data Min. Tech. Appl., pp. 1–6, 2023, doi: 10.1201/9781003390220-1.
A. Pebdika et al., “Klasifikasi Menggunakan Metode Naive Bayes untuk Menentukan Calon Penerima PIP,” vol. 7, no. 1, pp. 452–458, 2023, doi: https://doi.org/10.36040/jati.v7i1.6303.
Y. Gamaliel, T. A. Nugroho, and L. C. Aguskin, “Knowledge Discovery in Database dengan Multivariate Linear Regression pada Sistem Pertanian Hidroponik Berbasis Internet of Things,” J. Telemat., vol. 17, no. 2, pp. 94–100, 2023, doi: 10.61769/telematika.v17i2.542.
S. Melda, “Penerapan Data Mining dalam Perancangan Sistem Pendukung Keputusan Seleksi Penerimaan Beasiswa Menggunakan Naive Bayes Classifier (Studi Kasus: IIB Darmajaya),” J. Tek., pp. 165–174, 2020, doi: https://doi.org/10.5281/zenodo.13369413.
M. Andani, J. Triloka, S. Y. Irianto, and H. W. Nugroho, “Performance Comparison of K-Nearest Neighbor , Naive Bayes , and Random Forest Algorithms in Obesity Prediction,” vol. 9, no. 1, pp. 502–510, 2025, doi: 10.33395.
A. Shiri, “Introduction to Modern Information Retrieval (2nd edition),” Libr. Rev., vol. 53, no. 9, pp. 462–463, 2004, doi: 10.1108/00242530410565256.
M. M. Muttaqin, Wahyu Wijaya Widiyanto, A. W. Green Ferry Mandias, Stenly Richard Pungus, S. A. H. Wiranti Kusuma Hapsari, E. F. B. Aslam Fatkhudin, Pasnur, and N. S. Mochammad Anshori, Suryani, Pengenalan Data Mining, no. July. Yayasan Kita Menulis, 2023.
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