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All Journal Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Journal of Mathematics, Computation and Statistics (JMATHCOS)
Wahyu Nur Fadillah
UNIVERSITAS NEGERI MEDAN
Mathematics

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SISTEM PENDUKUNG KEPUTUSAN UNTUK MEMILIH LAPTOP IDEAL DENGAN METODE SAW jamrud khatulistiwa; Wahyu Nur Fadillah; Mohammed Hafizh Al-Areef
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 4 No 1 (2023): Jurnal Informatika dan Teknologi Komputer ( JICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/j-icom.v4i1.5410

Abstract

Laptops are one of the tools that are widely used in today's modern era, with a portable design that is able to meet the needs of everyday work. To facilitate the selection of a laptop that is comfortable and in suitable with the needs of the work, a decision support system is needed to assist users in choosing the right laptop. This system uses the Simple Additive Weighting method which is a weighted addition method from all existing data. The results of the research are in the form of a decision support system application in choosing the ideal laptop based on a website that can make it easier for users to choose the ideal laptop and according to their needs based on predetermined laptop criteria
Implementasi Partitioning Around Medoids Pada Visualisasi Penyebaran Penyakit DBD di Sumatera Utara Wahyu Nur Fadillah; Yulita Molliq Rangkuti; Ichwanul Muslim Karo
Journal of Mathematics, Computations and Statistics Vol. 6 No. 2 (2023): Volume 06 Nomor 02 (Oktober 2023)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

This research aims to develop a Geographic Information System (GIS) using the PartitioningAround Medoids (PAM) method in mapping dengue hemorrhagic fever (DHF) cases in North SumatraProvince. DHF has symptoms of high fever, bleeding, and a high mortality rate if not treated quickly.Therefore, mapping DHF cases is very important in efforts to tackle and prevent this disease. The PAMmethod was used in this study to cluster the DHF case data based on similar characteristics. The firstcluster consists of 18 districts/municipalities is a low cluster, the second cluster consists of 3districts/municipalities is a high cluster, and the third cluster consists of 3 districts/municipalities is amedium cluster. The implementation of PAM is done by using the Minkwoski distance calculation methodwhere the application of the distance will be tested with the Silhouette Index on several numbers of clusters.The best number of clusters for PAM implementation is 3 clusters with a Silhouette Index value of 0.5275.
Co-Authors Ichwanul Muslim Karo Karo jamrud khatulistiwa Mohammed Hafizh Al-Areef Yulita Molliq Rangkuti