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

Perancangan Website Pelayanan dan Edukasi Satres PPA PPO Polresta Banyumas Berbasis Laravel

Adi Maulana Putra Hidayat; Dhanar Intan Surya Saputra

Kecerdasan Buatan sebagai Inovasi Responsif untuk Pengambilan Keputusan Usaha Mikro Kecil dan Menengah

Nabiel Muhammad Al Ghazali

Sistem Informasi Keuangan : Tren, Tantangan, dan Dampak pada Kinerja Organisasi - Tinjauan Literatur Sistematis

Junarti Junarti; Hamdani Hamdani

Implementasi Aplikasi Penjualan dan Laporan Pendapatan Restoran King Royal Hotel Berbasis Mobile

Primanando Alfian Dwinatha; Vidi Sandi

Rancang Bangun Sistem Informasi Penjualan Peternakan Kambing Berbasis Website menggunakan Metode Rapid Application Development (RAD): Studi Kasus Herman Farm

Siti Aisyah; Mardiah Mardiah; Muhammad Khaibar Putra Adithia

Distribusi, Promosi, dan Periklanan Pesan Wakaf pada Masyarakat Badan Wakaf Indonesia Kota Tangerang Selatan

Nurochman Nurochman; Andi M. Faisal Bakti
Tren Sitasi Jurnal