Article Per Year (5 Year)
p-Index From 2019 - 2024
1.399
P-Index
This Author published in this journals
All Journal Jurnal Sistem Komputer & Kecerdasan Buatan Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) Jurnal Pengabdian Masyarakat Information Technology (JPM ITech) Abdi Jurnal Publikasi Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia
Dede Handayani
Universitas Pamulang
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Social Sciences Transportation Other

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia

 1 
Sistem Pendukung Keputusan Diagnosis Diabetes Melitus Dengan Metode Simple Additive Weight (SAW) Billy Nur Faizi; Dede Handayani
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 1 No. 3 (2023): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Diabetes mellitus (DM) is a chronic lifelong disease that has a negative impact on human quality of life and increases healthcare costs. However, public awareness of the impact of DM is still low, and many people are unaware of the risk of this disease. Diabetes mellitus occurs due to the body's reduced responsiveness to insulin or the influence of other hormones that inhibit insulin production, resulting in the body's inability to control blood sugar levels. The high number of diabetes patients is caused by delays in diagnosing the disease, often leading to patient deaths from complications before being diagnosed. To address this issue, the development of a web-based decision support system using the Simple Additive Weighting (SAW) method is necessary to assist in the diagnosis of diabetes mellitus. This system is capable of selecting diagnosis alternatives after determining specific attribute weights. This research is focused on the community in Kp. Kademangan, Kec. Kelapa Dua, Kab. Tangerang, Banten, which faces the issue of insufficient accuracy in information regarding the types of diabetes mellitus experienced by the population. In this paper proposal, the author proposes the "Decision Support System for the Diagnosis of Diabetes Mellitus using the Simple Additive Weighting (SAW) Method" to address this problem.
Co-Authors Agung Ramadhan Alwy Ritama Amin Hidayat Andhika Fadlizil Ikrom Andika Wijaya Bagas Taufikurrahman Bambang Hadi Purnomo Billy Nur Faizi Burhani Sulthon Dicky Imam Sobari Dwiansyah Afriandi Putra Edi Mariyanto Edi Maryanto Haznissa Muchlis Zulhija Ian Ferdiansyah Ilhan Syahrifal Indah Maulida Khanif Faozi Mohammad Aidul Azis Muhamad Farras Azhary Muhamad Madina Muhammad Arkhab Purnama Agdana Muhammad Khusni Mubarakh Muhammad Nabil Hamdi Muhammad Sandi Setiawan Awan Nur Fadjri Oke Hariansyah Pierre Agnusdei Simbolon Rifqi Khawarij Sintia Fardiyanti Rosianah Syahrul Fauzi Wanda Wulansari Wildan Faizul Khanafi Wiwin Winarti