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All Journal Jurnal Media Infotama JURNAL PENDIDIKAN TAMBUSAI Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Inovasi Teknik Informatika SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Innovative: Journal Of Social Science Research Journal on Pustaka Cendekia Informatika
novi yona sidratul munti
Universitas Pahlawan Tuanku Tambusai
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Journal : Jurnal Sistem Komputer dan Informatika (JSON)

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Implementasi Dempster-Shafer Theory Sebagai Mesin Inferensi Pada Sistem Pakar Diagnosa Penyakit Cerebral Palsy Erkamim, Moh.; Tonggiroh, Mursalim; Munti, Novi Yona Sidratul; Rahmanto, Yuri
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.6940

Abstract

Early diagnosis and appropriate intervention are very important to minimize the long-term impact of Cerebral Palsy in children. Currently, the diagnosis of Cerebral Palsy in children is often based on clinical observations, developmental tests, and brain imaging. It requires medical knowledge and careful observation by an experienced health professional, which is often difficult to access in many areas. For this reason, early diagnosis by parents is very important for taking action against children suffering from Cerebral Palsy. This research aims to develop an expert system that can diagnose Cerebral Palsy in children using the Dempster-Shafer Theory algorithm as an inference engine to make it easier to diagnose and produce the right diagnosis. The Dempster-Shafer Theory approach works by calculating the level of confidence or belief in a hypothesis or certain event based on existing evidence. An expert system built on a website has the ability to make diagnoses based on symptoms and display diagnosis results, definitions of the type of Cerebral Palsy disease in children, as well as actions or methods of treating it. Based on the test results, the accuracy level obtained was a value of 90% and was classified as "Good" criteria.
Co-Authors Akbar, Syahidul Alzikri Apriyanti, Dewi Dwi Asril Syaifuddin Elang Setia Ryananda Emon Azriadi Emon Azriadi Ferri Achmad Effindri Gusman, Deddy Ilham Akbar Indra Irawan Kasini, Kasini Mahendra, Ogta Fio Minanti, Minanti Moh. Erkamim Nurul Ismah Pangeran Otda Madani Raja Joko Musridho Risky Rafildo Rusnedy, Hidayati Syaifuddin, Dwi Asril Tanjung, Lailatul Syifa Thohar Saputro Tonggiroh, Mursalim Yuri Rahmanto Zul Amri