ALHASYAMI, MOCHAMMAD NU'MAN (2023) PENERAPAN SISTEM PAKAR DIAGNOSIS PENYAKIT HIPERTENSI BERBASIS WEB. S1 thesis, Universitas Mercu Buana Bekasi.
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Abstract
ABSTRAK Pusat kesehatan masyarakat didorong dengan pelayanan konsultasi pasien dengan dokter. Dalam konsultasi, pasien diminta untuk mendaftar dan mengantri untuk bertemu dengan dokter. Hal ini dimaksudkan untuk dapat membantu efesiensi waktu dalam antrian pasien agar tidak menunggu terlalu lama. Konsultasi pasien disediakan untuk memberikan peluang pasien agar dapat membantu dan mengenal gejala suatu penyakit dalam hal ini adalah penyakit hipertensi. Sampai saat ini hipertensi masih menjadi suatu masalah yang cukup besar, berdasarkan data dari WHO (Word Health Organization). Hipertensi merupakan salah satu masalah kesehatan yang cukup berbahaya di seluruh dunia karena hipertensi merupakan faktor risiko utama yang mengarah kepada penyakit kardiovaskuler seperti serangan jantung, gagal jantung, stroke dan penyakit ginjal yang mana pada tahun 2016, penyakit jantung iskemik dan stroke menjadi dua penyebab kematian utama di dunia. Dunia teknologi mengalami perkembangan setiap saatnya, dimana penerapannya sangat bermanfaat bagi kebutuhan dan mendukung aktivitas manusia khususnya dari sisi bidang kesehatan. Dalam mendiagnosis suatu penyakit pada bidang kedokteran dibutuhkan alat bantu seperti aplikasi kecerdasan buatan, oleh karena itu dibuatlah sebuah sistem pakar untuk mendiagnosis penyakit hipertensi. Sistem pakar merupakan program komputer yang dapat meniru proses pemikiran dan pengetahuan pakar untuk menyelesaikan suatu masalah yang spesifik. Implementasi sistem pakar banyak digunakan karena sistem pakar dipandang sebagai penyimpanan pengetahuan pakar dalam bidang tertentu kedalam suatu program, sehingga dapat memberikan keputusan dan melakukan penalaran secara cerdas. Kata kunci: Sistem Pakar, Hipertensi, Website, Universitas Mercu Buana ABSTRACT Community health centers are encouraged to provide patient consultation services with doctors. In the consultation, patients are asked to register and queue to meet with the doctor. This is intended to be able to help the efficiency of time in the queue of patients so as not to wait too long. Patient consultation is provided to provide opportunities for patients to be able to help and recognize the symptoms of a disease, in this case hypertension. Until now, hypertension is still a big problem, based on data from WHO (Word Health Organization). Hypertension is one of the health problems that is quite dangerous worldwide because hypertension is a major risk factor that leads to cardiovascular diseases such as heart attack, heart failure, stroke and kidney disease which in 2016, ischemic heart disease and stroke became the two main causes of death. in this world. The world of technology is developing every time, where its application is very useful for the needs and supports human activities, especially in terms of the health sector. In diagnosing a disease in the medical field, tools such as artificial intelligence applications are needed, therefore an expert system is made to diagnose hypertension. An expert system is a computer program that can imitate thought processes and expert knowledge to solve a specific problem. Implementation of expert systems is widely used because expert systems are seen as storing expert knowledge in a particular field into a program, so that they can make decisions and reason intelligently. Key words: Expert System, Hypertension, Website, Mercu Buana University
| Item Type: | Thesis (S1) |
|---|---|
| Call Number CD: | FIK/INFO 23 001 |
| NIM/NIDN Creators: | 41518310032 |
| Uncontrolled Keywords: | Sistem Pakar, Hipertensi, Website, Universitas Mercu Buana |
| 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 > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika |
| Divisions: | Fakultas Ilmu Komputer > Informatika |
| Depositing User: | siti maisyaroh |
| Date Deposited: | 17 May 2023 06:00 |
| Last Modified: | 17 May 2023 06:00 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/77251 |
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