Rancang Bangun Aplikasi Pembelajaran Paud Berbasis Web dengan Fitur Gamifikasi pada Kober Boafeo

Penulis

  • Berchmans John Sado Universitas Flores
  • Kristianus Jago Tute Universitas Flores
  • Benediktus Yoseph Bhae Universitas Flores

DOI:

https://doi.org/10.54259/satesi.v5i2.5551

Kata Kunci:

Information Technology, Web-Based Learning, Gamification, PAUD, Learning Application

Abstrak

ABSTRACT

DESIGN AND DEVELOPMENT OF A WEB-BASED PAUD LEARNING APPLICATION WITH GAMIFICATION FEATURES AT KOBER BOAFEO

Berchmans John Sado

Information Systems Study Program, Faculty of Science and Technology,University of

Flores, 2025

censado26@gmail.com

The advancement of information and communication technology has influenced various sectors, including education. The utilization of technology in learning can provide positive contributions by helping teachers deliver materials more effectively and interactively. However, in the learning process at Early Childhood Education (PAUD), traditional methods such as textbooks and blackboards are still widely used, which are considered less engaging and interactive. This often results in students being passive and less motivated in following the learning process. This research aims to design and develop a web-based learning application with gamification features implemented at PAUD Desa Boafeo. The application is designed to integrate the concept of learning through play, aiming to increase student motivation through a more engaging, interactive, and enjoyable approach. Gamification features are integrated into the application to provide a more dynamic learning experience, which is expected to enhance student participation in learning. With this application, it is expected that teachers will find it easier to deliver learning materials, and help students understand lessons in a more engaging and efficient way. This application is also expected to contribute to improving the quality of education in PAUD through the use of technology as an interactive learning medium.

Keywords: Information Technology, Web-Based Learning, Gamification, PAUD, Learning Application.

Unduhan

Data unduhan belum tersedia.

Referensi

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.

Diterbitkan

2025-10-15

Cara Mengutip

Berchmans John Sado, Kristianus Jago Tute, & Benediktus Yoseph Bhae. (2025). Rancang Bangun Aplikasi Pembelajaran Paud Berbasis Web dengan Fitur Gamifikasi pada Kober Boafeo. SATESI: Jurnal Sains Teknologi Dan Sistem Informasi, 5(2), 190–197. https://doi.org/10.54259/satesi.v5i2.5551

Terbitan

Bagian

Articles