RamadhanHariPutra, Rizky (2016) Sistem Pendukung Keputusan Deteksi Dini Penyakit Demam Berdarah dengan Metode Analytical Hierarchy Process Dan Weight Product (AHP-WP)(Studi Kasus: Puskesmas Kendalsari). Sarjana thesis, Universitas Brawijaya.
Abstract
Puskesmas Kendalsari merupakan salah satu puskesmas yang berada di kota Malang. Di Puskesmas Kendalsari pasien demam berdarah setiap tahunnya mengalami peningkatan. Kurangnya pemahaman tentang gejala awal penyakit demam berdarah merupakan faktor utamanya. Masyarakat awam hanya mengetahui ciri - ciri awal yang diketahui tanpa pertimbangan medis. Sehingga masyarakat kesulitan dalam membedakan gejala demam berdarah dan demam biasa, misalnya demam tinggi dan pusing merupakan ciri awal dari penyakit demam berdarah tetapi bisa juga demam biasa. Demam tinggi dan pusing tidak hanya ditemukan di penyakit demam berdarah saja. Akibatnya penyakit tersebut diatasi dengan cara yang salah dan penanganan yang salah dapat mengakibatkan kematian. Dari permasalahan tersebut, maka dibutuhkan sistem yang mampu mendeteksi dini penyakit demam berdarah. Skripsi ini menerapkan metode Analytical Hierarchy Process (AHP) yang digunakan untuk pembobotan dan Weight Product (WP) digunakan untuk merangkingkan alternatif dan pengambilan keputusan. Terdapat 14 data pasien Puskesmas Kendalsari dengan empat belas kriteria penyakit demam berdarah yang digunakan dalam perhitungan sistem. Hasil pengujian kesesuaian sistem memberikan hasil sistem sebesar 85,714%. Sehingga dapat disimpulkan bahwa sistem telah mampu memberikan keputusan dalam menentukan stadium penyakit demam berdarah yang diderita pasien di Puskesmas Kendalsari.
English Abstract
Local healthcare Kendalsari is one of the clinic which located in Malang city. At local healthcare Kendalsari patient who contract dengue fever increased every year. Lack of comprehension about early symptoms of the disease is the main factor. Civil society only known the early characteristics known without medical considerations. Furthermore, society experience difficulty in distinguish symptoms of dengue fever and ordinary fever, such as high fever and headache is the early symptoms of dengue fever disease, but also it can be just ordinary fever. Because of high fever and headache were not just found in dengue fever disease. As a result this disease was overcome with the incorrect method, and with the incorrect handling will effect death. From that problem, consuming food is necessary by system to detecting early dengue fever disease. This thesis applied Analytical Hierarchy Process Method (AHP) used for weighting and Weight Product (WP) used for ranking alternative and decision-making. There were 25 data patient of local healthcare Kendalsari with fourteen criteria dengue fever disease used in the system calculation. The result of testing suitability system gave the result system in the mount of 92%. It can be concluded that system have been able to gave decision in determined stadium of dengue fever suffered by patient at local healthcare Kendalsari.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FTIK/2016/553/051610836 |
| Subjects: | 000 Computer science, information and general works > 005 Computer programming, programs, data |
| Divisions: | Fakultas Ilmu Komputer > Teknik Informatika |
| Depositing User: | Sugiantoro |
| Date Deposited: | 11 Nov 2016 14:39 |
| Last Modified: | 21 Oct 2021 17:46 |
| URI: | http://repository.ub.ac.id/id/eprint/147128 |
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