Jaringan Saraf Tiruan (JST) Memprediksi Penyakit Rubella Menggunakan Metode Backpropagation

Arif Pratama Putra ; Suci Ramadani ; Darjat Saripurna
Bridge : Jurnal Publikasi Sistem Informasi dan Tel... 📅 2024 Vol 2, No 4 🔗 DOI: 10.62951/bridge.v2i4.219
Abstract
The development of Information Technology is now entering various sectors, including health, and is implemented in Bidadari Binjai Hospital. As a health institution that is committed to excellent service and quality, Bidadari Binjai Hospital needs to innovate technology. One health issue that requires attention is rubella, an airborne infectious disease that has the potential to cause serious disorders such as hearing loss, cataracts, speech delay, and heart failure in toddlers and children. The initial symptoms of rubella are often similar to other common diseases, so public understanding of these symptoms is very important for quick treatment. This research aims to develop an information technology-based system that is able to predict rubella using the backpropagation method. This method is expected to improve the accuracy of diagnosis and make it easier for people to recognize rubella symptoms early on. The proposed system aims to provide better diagnosis support at Bidadari Binjai Hospital, as well as increase public awareness and knowledge about rubella disease. From the research conducted, the results of the accuracy rate obtained when conducting a test program were selected according to the symptoms and the results obtained were rubella disease with a 100% accuracy rate.
Keywords
Data Mining; Rubella; Backpropagation
How to Cite

Arif Pratama Putra, et al. (2024). Jaringan Saraf Tiruan (JST) Memprediksi Penyakit Rubella Menggunakan Metode Backpropagation. Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi, 2(4). https://doi.org/10.62951/bridge.v2i4.219

Arif Pratama Putra; Suci Ramadani; Darjat Saripurna, "Jaringan Saraf Tiruan (JST) Memprediksi Penyakit Rubella Menggunakan Metode Backpropagation," Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi, vol. 2, no. 4, 2024.

Arif Pratama Putra; Suci Ramadani; Darjat Saripurna. "Jaringan Saraf Tiruan (JST) Memprediksi Penyakit Rubella Menggunakan Metode Backpropagation." Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi, vol. 2, no. 4, 2024.

Arif Pratama Putra; Suci Ramadani; Darjat Saripurna. "Jaringan Saraf Tiruan (JST) Memprediksi Penyakit Rubella Menggunakan Metode Backpropagation." Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi 2, no. 4 (2024).

Arif Pratama Putra, et al. (2024) 'Jaringan Saraf Tiruan (JST) Memprediksi Penyakit Rubella Menggunakan Metode Backpropagation', Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi, 2(4). doi: 10.62951/bridge.v2i4.219.

Arif Pratama Putra; Suci Ramadani; Darjat Saripurna. Jaringan Saraf Tiruan (JST) Memprediksi Penyakit Rubella Menggunakan Metode Backpropagation. Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi. 2024;2(4).

Artikel Terkait

Penerapan Deep Convolutional Autoencoder dengan Skip Connection Untuk Menghilangkan Derau pada Citra Digital

Martha Richa Anggraeni; Bagus Satrio Waluyo Poetro

Branding Budaya Lokal Desa Paubokol Melalui Komunikasi Digital di Media Sosial Instagram

R. Hiro Nugroho Rotisno; Meylisa Yuliastuti Sahan; Elisabeth Date Masan Welin

Penerapan Algoritma Genetika untuk Rekomendasi Topik Skripsi Berdasarkan Minat dan Kompetensi Mahasiswa

Miftah Dwi Lestari; Siska Ade Putry; Weny Syahputri

Rancang Bangun Sistem Informasi Penerimaan Peserta Didik Baru Berbasis Web di Sekolah Dasar Negeri Marawang

Angelina Malo; Adelbertus Umbu Janga; Maria Wilda Malo

Implementasi Sistem Temu Balik Informasi Data Cryptocurrency Berbasis Atribut Menggunakan Vector Space Model (VSM)

Muhammad Ibnu Rayyan; Suci Pratiwi; Sofy Ertika Dewi

Rancang Bangun Sistem Informasi Monitoring Pelanggaran Siswa SMP Negeri 1 Laboya Barat Berbasis Web

Apliana Kaka; Adelbertus Umbu Janga; Felysitas Ema Ose Sanga
Tren Sitasi Jurnal