PRASETIO, SURYA AJI (2022) PEMBUATAN WEBSITE UNTUK DETEKSI PENYAKIT UMUM MENGGUNAKAN METODE CERTAINTY FACTOR. S1 thesis, Universitas Mercu Buana Bekasi.
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Abstract
ABSTRAK Nama Mahasiswa : Surya Aji Prasetio NIM : 41517320013 Pembimbing TA : Afiyati, S.Si, MT Judul Tugas Akhir : Pembuatan Website Untuk Deteksi Penyakit Umum Menggunakan Metode Certainty Factor Klinik adalah unit kesehatan yang bertanggung jawab menyelenggarakan kesehatan di area kerjanya. Pembuatan aplikasi berbentuk Website untuk mendeteksi penyakit awal agar mempermudah kinerja dokter dan untuk mempermudah pasien mengetahui penyakit yang diderita. Dalam tahapan penelitian metode yang digunakan adalah metode Web Development Life Cycle dalam membangun sebuah website, dan untuk mendiagnosa penyakit menggunakan metode Certainty Factor. Didalam tugas akhir ini saya menggunakan metode Certainty Factor untuk mendiagnosa penyakit bronkitis, flu burung, dan covid 19. Dalam mendiagnosa penyakit, pasien memilih gejala yang ada, setelah itu sistem akan menghitung semua proses, dan akan menentukan penyakit dengan nilai tertinggi. Hasil dari metode Certainty Factor ini mencapai 80% dalam menentukan penyakit. . Kata kunci: Klinik, WDLC (Web Development Life Cycle), Certainty Factor ABSTRACT Name : Surya Aji Prasetio Student Number : 41517320013 Counsellor : Afiyati, S.Si, MT Title : Website Development for Common Disease Detection Using Certainty Factor Method Clinic is a health unit that is responsible for providing health in its work area. Making an application in the form of a website to detect early disease in order to facilitate the performance of doctors and to make it easier for patients to know the disease they are suffering from. In the research phase, the method used is the Web Development Life Cycle method in building a website, and to diagnose diseases using the Certainty Factor method. In this final project I use the Certainty Factor method to diagnose bronchitis, bird flu, and covid 19. In diagnosing the disease, the patient only selects the existing symptoms, after that the system will calculate all processes, and will determine the disease with the highest value. The results of the Certainty Factor method reach 80% in determining the disease. Key words: Clinic, WDLC (Web Development Life Cycle), Certainty Factor
| Item Type: | Thesis (S1) |
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| Call Number CD: | FIK/INFO 22 011 |
| NIM/NIDN Creators: | 41517320013 |
| Uncontrolled Keywords: | Kata kunci: Klinik, WDLC (Web Development Life Cycle), Certainty Factor |
| Subjects: | 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data > 005.5 General Purpose Application Programs/Program Aplikasi dengan Kegunaan Khusus |
| Divisions: | Fakultas Ilmu Komputer > Informatika |
| Depositing User: | siti maisyaroh |
| Date Deposited: | 17 Dec 2022 04:06 |
| Last Modified: | 17 Dec 2022 04:06 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/72549 |
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