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All Journal JAIS (Journal of Applied Intelligent System) Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini JOURNAL OF APPLIED INFORMATICS AND COMPUTING Tibanndaru : Jurnal Ilmu Perpustakaan dan Informasi Journal of Information Systems and Informatics MEANS (Media Informasi Analisa dan Sistem) Didaktika: Jurnal Kependidikan JURNAL ILMIAH GLOBAL EDUCATION Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Algoritma Jurnal Cakrawala Informasi (JCI) Jurnal Masyarakat Madani Indonesia "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Journal of Future Artificial Intelligence and Technologies Jurnal Informatika dan Kesehatan Ngudi Waluyo Empowerment : Jurnal Pengabdian Kepada Masyarakat Harmony Philosophy: International Journal of Islamic Religious Studies and Sharia INOVTEK Polbeng - Seri Informatika Jurnal Ilmu Komputer
Iwan Setiawan Wibisono
Universitas Ngudi Waluyo
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Prediksi Kesiapan Membaca Anak Taman Kanak-Kanak Menggunakan Algoritma Backpropagation Neural Network Siti Khoirotul Maftukhah; Iwan Setiawan Wibisono
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3129

Abstract

Reading ability is an important indicator of cognitive development in early childhood, particularly in kindergarten. This study aims to predict children’s reading readiness levels using the Backpropagation Neural Network (BPNN) algorithm. The data were obtained through observations and tests conducted on kindergarten children, with variables including age, letter recognition ability, phonemic ability, and concentration level. The BPNN model was trained by dividing the data into training and testing sets, using a single hidden layer and a sigmoid activation function. Model evaluation shows good predictive performance, with a Root Mean Squared Error (RMSE) of 0.527, indicating an average prediction error of less than 1% relative to the target values. These results confirm the ability of BPNN to recognize nonlinear patterns and accurately predict children’s reading readiness. Therefore, the application of BPNN can assist teachers and parents in designing appropriate learning interventions tailored to children’s developmental needs.
Co-Authors ABDUL ROHMAN Abdul Rohman Achmad Nuruddin Safriandono Akhmad Dahlan Alfiano Aldo Pamungkas amalia fatima zahra anggita maharani donal Anugrah, Harun Aqmal Putra R.R Arga Aditia Purnama Aya Sofia Dinafa C, Annisa De Rosal Ignatius Moses Setiadi Deta verrensyah Efaforito Gulo Farah Zakiyah Rahmanti Heni Candra Kirana Heni Setyowati Hesti Yunitiara Rizqi Himmah Taulany inneke fitri ade muliya Kartika Yuni Purwanti Kurniati Pratami Lisa Virdinarti Putra Mamluatul Husnia Marsiska Ariesta Putri Marsiska Ariesta Putri Marsiska Ariesta Putri Misbahul Munir Moch Nurcholis Majid Muhammad Ali Ikhsanudin Muhammad Ari Wibowo Muhammad Diva Livarizi Nurohmah, Siti Ojugo, Arnold Adimabua Rahman, Fitri Anisa Riyono Sanjaya, Ucta Pradema Sekar Febri Medianza Siska Nadeak Siti Khoirotul Maftukhah Sri Mujiyono Suamanda Ika Novichasari Tatik Wulandari Wahyuningtyas Hesti Widya Pertiwi, Nur Annisa Wimara, Nadya Angelica Zilni, An Zulmi Roestika Rini