Rizkiyanto, Eka Febrina Reza (2021) Sistem pendukung keputusan deteksi dini penyakit Covid-19 berbasis android menggunakan metode Modified Certainty Factor. Undergraduate thesis, Universitas Islam Negeri Maulana Malik Ibrahim Malang.
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Abstract
ABSTRAK
Manusia sedang dihadapkan bencana non alam yang mengancam seluruh populasi manusia di bumi. Bencana non alam tersebut adalah Corona Virus Desease (Covid-19), yaitu keluarga besar virus yang dapat menyerang manusia dan hewan yang saat ini menjadi pandemic global. Covid-19 merupakan penyakit infeksi virus pada saluran pernapasan yang bisa berakibat fatal.
Penelitian ini menggunakan Sistem Pendukung Keputusan berbasis Android dengan metode Modified Certainty Factor dimana metode tersebut merupakan peningkatan dari metode Certainty Factor dengan menambahkan tingkat keyakinan user atas tiap gejala yang nantinya akan dipilih sesuai kondisi kesehatan yang dirasakan oleh user tersebut.
Metode penelitian ini dilakukan dengan cara mengumpulkan data di Rumah Sakit Rujukan Covid-19, mewawancara dokter ahli, serta menggunakan studi literatur untuk mendukung penelitian dimana di dapatkan hasil akhir berupa tingkat akurasi dengan membandingkan hasil dari pakar dan sistem sebesar 75%.
ABSTRACT
Human are facing a non – natural disaster that threatens the entire human population on Earth. Non – natural disaster is called Corona Virus Descase (Covid-19), which is a large family of viruses that can attack humans and animals that are currently a global pandemic. Covid-19 are viral infections of the respiratory tract that can be fatal.
This study uses an Android-based Decision Support System with the Modified Certainty Factor method where this method is an improvement from the Certainty Factor method by adding the user's level of confidence for each symptom which will be selected according to the health condition felt by the user.
This research method is carried out by collecting data at the Covid-19 Referral Hospital, interviewing expert doctors, and using literature studies to support research where the final result is in the form of an accuracy rate by comparing the results from experts and the system by 75%.
| Item Type: | Thesis (Undergraduate) | |||||||||
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| Supervisor: | Hariyadi, M. Amin and Arif, Yunifa Miftachul | |||||||||
| Contributors: |
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| Keywords: | Sistem Pendukung Keputusan, Android; Covid-19; Modified Certainty Factor; Decision Support System; Android; Covid-19; Modified Certainty Factor | |||||||||
| Subjects: | 08 INFORMATION AND COMPUTING SCIENCES > 0805 Distributed Computing > 080502 Mobile Technologies | |||||||||
| Departement: | Fakultas Sains dan Teknologi > Jurusan Teknik Informatika | |||||||||
| Depositing User: | Eka Febrina Reza Rizkiyanto | |||||||||
| Date Deposited: | 28 Dec 2021 13:05 | |||||||||
| Last Modified: | 31 Mar 2023 20:05 | |||||||||
| URI: | http://etheses.uin-malang.ac.id/id/eprint/32619 |
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