Implementasi Fuzzy Mamdani untuk memprediksi kebutuhan stok darah pada Unit Transfusi Darah PMI Kabupaten Bandung

Shahira, Shahira (2018) Implementasi Fuzzy Mamdani untuk memprediksi kebutuhan stok darah pada Unit Transfusi Darah PMI Kabupaten Bandung. Diploma thesis, Fakultas Sains dan Teknolog : Program Studi Teknik Informatika.

[img]
Preview
Text (COVER)
1_cover.pdf

Download (273kB) | Preview
[img]
Preview
Text (ABSTRAK)
2_abstrak.pdf

Download (119kB) | Preview
[img]
Preview
Text (DAFTAR ISI)
3_daftarisi.pdf

Download (169kB) | Preview
[img]
Preview
Text (BAB I)
4_bab1.pdf

Download (400kB) | Preview
[img] Text (BAB II)
5_bab2.pdf
Restricted to Registered users only

Download (788kB) | Request a copy
[img] Text (BAB III)
6_bab3.pdf
Restricted to Registered users only

Download (3MB) | Request a copy
[img] Text (BAB IV)
7_bab4.pdf
Restricted to Registered users only

Download (1MB) | Request a copy
[img] Text (BAB V)
8_bab5.pdf
Restricted to Registered users only

Download (166kB) | Request a copy
[img] Text (DAFTAR PUSTAKA)
9_datarpustaka.pdf
Restricted to Registered users only

Download (213kB) | Request a copy

Abstract

INDONESIA Stok darah sejauh ini di Unit Transfusi Darah Palang Merah Indonesia Kabupaten Bandung masih terus berkurang karna beberapa hal. Untuk mengatasi hal tersebut maka diperlukan sebuah metode untuk memprediksi kebutuhan stok darah dimasa yang akan datang. Dengan metode Fuzzy Mamdani maka hasil prediksi dapat di kelompokan menjadi kategori yaitu stok ditambah dan stok tetap. Berdasarkan pengujian sistem dan pengujian manual yang dilakukan pada penelitian ini, didapatkan hasil bahwa Fuzzy Mamdani memiliki tingkat akurasi yang cukup tinggi yaitu 88,88% untuk memprediksi kebutuhan stok darah pada Unit Transfusi Darah Palang Merah Indonesia Kabupaten Bandung. ENGLISH Blood stock needs in blood transfusion unit of Palang Merah Indonesia in Bandung district are decreasing due to several things. To resolve this problem, a method to predict future blood stock needs is needed. With Fuzzy Mamdani method, the prediction results can be grouped into categories, those are stock in stock and fixed stock. Based on system testing and manual testing carried out in this study, it was found that Mamdani fuzy had a high enough level of accuracy of 88.88% to predict blood stock needs in Blood Transfusion Unit of Palang Merah Indonesia in Bandung district.

Item Type: Thesis (Diploma)
Uncontrolled Keywords: Fuzzy; mamdani; transfusi; darah; presiksi; stok
Subjects: Data Processing, Computer Science
Divisions: Fakultas Sains dan Teknologi > Program Studi Teknik Informatika
Depositing User: Shahira Shahira
Date Deposited: 14 Jan 2019 04:01
Last Modified: 14 Jan 2019 04:03
URI: https://digilib.uinsgd.ac.id/id/eprint/17880

Actions (login required)

View Item View Item