Results 1 to 10 of about 11,669 (119)

Optimasi Pelayanan Kapal Penumpang melalui Clustering Penumpang dengan Metode Silhouette Coefficient

Edumatic, 2023
Improving the efficiency of passenger ship services is a big challenge for the shipping industry. This research aims to optimize ship passenger services at Muara angke port by segmenting passengers using the Silhouette Coefficient method.
Tayeb Adi Mulyadi, Dedi Purnomo
doaj   +1 more source

Analisis Silhouette Coefficient pada 6 Perhitungan Jarak K-Means Clustering

Techno.Com, 2021
Clustering merupakan proses pengelompokan sekumpulan data ke dalam klaster yang memiliki kemiripan. Kemiripan dalam satau klaster ditentukan dengan perhitungan jarak.
Rahmatina Hidayati, Anis Zubair, Aditya Hidayat Pratama, Luthfi Indana   +3 more
doaj   +1 more source

Analisis Perbandingan Algoritma Bisecting K-Means dan Fuzzy C-Means pada Data Pengguna Kartu Kredit

Emitor: Jurnal Teknik Elektro, 2022
Di era digital seperti sekarang ini memiliki kartu kredit merupakan suatu hal yang wajar di masyarakat, dengan segala kemudahan yang ditawarkan dalam setiap transaksi pembayaran tidak menutup kemungkinan untuk menarik minat masyarakat dalam menggunakan ...
Shinta Dwididanti, Dimas Aryo Anggoro
doaj   +1 more source

IMPLEMENTATION OF THE DBSCAN METHOD FOR CLUSTER MAPPING OF EARTHQUAKE SPREAD LOCATION

Barekeng, 2023
West Java area is located on the Pacific Circum and Mediterranean Circum routes, this causes West Java area to be an unstable area that is characterized by many active working volcanoes and frequent earthquakes.
Muhammad Bariklana, Achmad Fauzan
doaj   +1 more source

Cluster-Based Approaches toward Developing a Customer Loyalty Program in a Private Security Company

Applied Sciences, 2023
This study aimed to create a loyalty program for a private security company’s most valuable customers using clustering techniques on a dataset from the company.
Arthur de Sousa, Sérgio Moro, Renato Pereira   +2 more
doaj   +1 more source

PERFORMANCE COMPARISON OF K-MEDOIDS AND DENSITY BASED SPATIAL CLUSTERING OF APPLICATION WITH NOISE USING SILHOUETTE COEFFICIENT TEST

Barekeng, 2023
Cluster analysis is a technique for grouping objects in a database based on their similar characteristics. The grouping results are said to be good if each cluster is homogeneous, and can be validated using the silhouette coefficient test.
Taufiq Akbar, Georgina Maria Tinungki, Siswanto Siswanto   +2 more
doaj   +1 more source

Analisis strategi dan klasterisasi ketahanan pangan nasional dalam menghadapi pandemi covid-19

Teknologi Pangan: Media Informasi dan Komunikasi Ilmiah Teknologi Pertanian, 2021
Covid-19 outbreak that scours the world nowadays is affecting all sectors, including food security. Therefore it needs to restructuring the food security policies to ensure that every people obtains adequate and nutritious food.
Audi Ramadhan, Kinanti Prawita, M. Andik Izzudin, Gitta Amandha   +3 more
doaj   +1 more source

Comparison of Hierarchical, K-Means and DBSCAN Clustering Methods for Credit Card Customer Segmentation Analysis Based on Expenditure Level

Journal of Applied Informatics and Computing, 2023
The amount of data from credit card users is increasing from year to year. Credit cards are an important need for people to make payments. The increasing number of credit card users is because it is considered more effective and efficient.
Hafid Ramadhan, Mohammad Rizal Abdan Kamaludin, Muhammad Alfan Nasrullah, Dwi Rolliawati   +3 more
doaj   +1 more source

Kombinasi Single Linkage Dengan K-Means Clustering Untuk Pengelompokan Wilayah Desa Kabupaten Pemalang

Journal of Innovation Information Technology and Application, 2021
K-Means is very dependent on determining the center cluster initial which has an impact on the quality  of clusters resulting, in addition to determining the center of cluster the number of k that will be used it can also affect the quality of the ...
Sintiya Sintiya, Tri Ginanjar Laksana, Nia Annisa Ferani Tanjung   +2 more
doaj   +1 more source

A Neutrosophic based C-Means Approach for Improving Breast Cancer Clustering Performance [PDF]

Neutrosophic Sets and Systems, 2023
Breast cancer is among the most prevalent cancers, and early detection is crucial to successful treatment. One of the most crucial phases of breast cancer treatment is a correct diagnosis.
Ahmed Abdel Hafeez, Hoda K. Mohamed, Ali Maher, Ahmed Abdel-Monem   +3 more
doaj   +1 more source