Sistem Pendukung Keputusan Rekomendasi Menu Makanan Pada Penderita Diabetes Mellitus Menggunakan Metode Simple Additive Weighting (SAW)

Prasanti, Luki Dwi (2024) Sistem Pendukung Keputusan Rekomendasi Menu Makanan Pada Penderita Diabetes Mellitus Menggunakan Metode Simple Additive Weighting (SAW). Undergraduate thesis, Politeknik Negeri Jember.

[img] Text (Daftar Pustaka)
Daftar Pustaka.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (245kB)
[img] Text (Bab 1 Pendahuluan)
Bab 1 Pendahuluan.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (316kB)
[img] Text (Laporan Lengkap)
Laporan Lengkap.pdf - Submitted Version
Restricted to Registered users only

Download (4MB) | Request a copy
[img] Text (Abstract)
Ringkasan.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (7kB)

Abstract

Diabetes is a serious health issue with significant impacts on one's quality of life and overall health. It occurs when the body fails to produce enough insulin or effectively utilize the insulin it produces. According to the International Diabetes Federation (IDF), Indonesia has a high prevalence of diabetes mellitus, ranking among the countries with the highest number of diabetes cases worldwide. IDF data from 2021 indicates that approximately 10.6% or around 34.5 million people in Indonesia suffer from diabetes. In this study, we developed a decision support system application using the Simple Additive Weighting (SAW) method to calculate the weights of various food menu alternatives. The SAW method allows for the assessment of food menus based on various relevant criteria, such as carbohydrate, fat, protein, fiber, and calorie content. Thus, this application can assist healthcare workers in managing food menu data and providing recommendations tailored to the nutritional needs of diabetes mellitus patients.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDK
Thesis advisorUtomo, Denny TriasNIDN0009107104
Uncontrolled Keywords: Sistem Pendukung Keputusan, Diabetes Mellitus, Simple Additive Weighting
Subjects: 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika
410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 462 - Teknologi Informasi
Divisions: Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir
Depositing User: Luki Dwi Prasanti
Date Deposited: 25 Jun 2024 02:03
Last Modified: 25 Jun 2024 02:05
URI: https://sipora.polije.ac.id/id/eprint/32908

Actions (login required)

View Item View Item