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K-Means and K-Medoids Algorithm Comparison for Clustering Forest Fire Location in Indonesia

Ichwanul Muslim Karo Karo, Sri Dewi, Mardiana Mardiana, Fanny Ramadhani, Putri Harliana

Forest fires are the most common cause of deforestation in Indonesia. This condition has a negative impact on the survival of living things. Of course, this has received special attention from various parties. One effort that can be made for prevention is... see more

Clustering | K-Means | K-Medoids | Feature Importance

Jurnal Ecotipe (Electronic; Control; Telecommunication; Information; and Power Engineering) , 2096

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Clustering Reservoirs in Indonesia Based on Area and Volume Using the K-Means Algorithm DOI : 10.24114/cess.v8i2.44390 | Abstract views : 2 times

Shofinurdin Shofinurdin,Afifah Khaerani,Arief Wibowo

Embung adalah cekungan yang digunakan untuk mengatur dan menampung aliran hujan dan meningkatkan kualitas air di badan air yang terkait. Embung juga digunakan untuk menjaga kualitas air tanah, mencegah banjir, menjaga estetika, dan mengairi. Terdapat 1.44... see more

CESS (Journal of Computer Engineering; System and Science) , 2012

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Clustering Couples of Childbearing Age to Get Family Planning Counseling Using K-Means Method

Yuniar Farida, Adam Fahmi Khariri, Dian Yuliati, Hani Khaulasari

Couples of Childbearing Age (CCA) in the Madiun Regency have increased in the last three years. It caused the population in Madiun to overgrow with the newborn, which implies the economic, social, and environmental aspects. This study aims to cluster vill... see more

Couples of Childbearing Age | Family Planning | K-Means Clustering | Silhouette Coefficient

MATRIK : Jurnal Manajemen; Teknik Informatika dan Rekayasa Komputer , 2022

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Clustering Pelaksanaan Vaksinasi di Jawa Tengah Menggunakan Metode K-Means

Yovita Kinanti Kumarahadi,Brigitta Melati Kumarahadi,Kumaratih Sandradewi

Vaccines are a form of government responsibility in guaranteeing citizens' rights to health. In its implementation, the government seeks to fulfill the availability of vaccines for at least 208,265,720 residents. This number is the minimum number to be ab... see more

clustering | k-means | vaccine covid-19 | central java

Jurnal Ilmiah SINUS , 2022

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A Multi-Agent K-Means Algorithm for Improved Parallel Data Clustering

--> Mohammed Ahmed Jubair ( Department of Computer Technical Engineering, College of Information Technology, Imam Ja'afar Al-Sadiq University, Al-Muthanna, Iraq) --> Salama A. Mostafa ( Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia.) --> Aida Mustapha ( Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia, 84600, Panchor, Johor, Malaysia.) --> Zirawani Baharum ( Malaysian Institute of Industrial Technology, Universiti Kuala Lumpur, Persiaran Sinaran Ilmu, Bandar Seri Alam, 81750 Johor, Malaysia) --> Mohamad Aizi Salamat ( Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia.) --> Aldo Erianda ( Department of Information Technology, Politeknik Negeri Padang, Sumatera Barat, Indonesia) Mohammed Ahmed Jubair,Salama A. Mostafa,Aida Mustapha,Zirawani Baharum,Mohamad Aizi Salamat,Aldo Erianda --> Abstract : 0 Viewers PDF : 0 Viewers DOI: http://dx.doi.org/10.30630/joiv.6.1-2.934

Due to the rapid increase in data volumes, clustering algorithms are now finding applications in a variety of fields. However, existing clustering techniques have been deemed unsuccessful in managing large data volumes due to the issues of accuracy and hi... see more

K-means | decision-making | clustering | multi-agent system.

International Journal on Informatics Visualization , 2022

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Application of Spinal Disorders Detection on X-Ray Images Using Segmentation and K-Means Clustering DOI : 10.35870/jtik.v6i3.456 |

Muhammad Khairul,Fauziah Fauziah,Iskandar Fitri

There are three types of spinal disorders, namely kyphosis, lordosis, and scoliosis. To find out spinal disorders, it is necessary to carry out X-rays from an early age. Spinal disorders are not only found in children but can be found in adolescents, adul... see more

Spinal disorders | X-ray | Image processing | Image Segmentation | K-means Clustering

Jurnal JTIK KITA , 2022

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Implementasi Metode Algoritma K-Means Clustering pada Toko Eidelweis DOI : 10.36294/jurti.v4i2.1444| Abstract views : 58 times

Reno Supardi,Indra Kanedi

Abstract - In making the application, the implementation of the K-Means Clustering Algorithm method at the Eidelweis Store will be designed for this study to design software at the Eidelweis Store. The method used in making this application is a system de... see more

K-means Clustering Algorithm Method | Visual Basic Net |

JURNAL TEKNOLOGI INFORMASI , 2020

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Personality Classification Experiment by Applying k-Means Clustering

Assem Talasbek,Azamat Serek,Meirambek Zhaparov,Seong-Moo Yoo,Young-Kab Kim,Geun-Ho Jeong

This paper describes personality classification experiment by applying k-means clustering machine learning algorithms. Several previous studies have been attempted to predict personality types of human beings automatically by using various machine learnin... see more

personality types | machine learning | Jungian Type Inventory | k-means clustering on personality test.

International Journal of Emerging Technologies in Learning (iJET) , 2020

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The K-Means Clustering Algorithm With Semantic Similarity To Estimate The Cost of Hospitalization

Ida Bagus Gede Sarasvananda,Retantyo Wardoyo,Anny Kartika Sari

The cost of hospitalization from a patient can be estimated by performing a cluster of patient. One of the algorithms that is widely used for clustering is K-means. K-means algorithm, based on distance still has weaknesses in terms of measuring the ... see more

Clustering | K-means | Semantic Similarity | Sillhoutte Coefficient

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) , 2019

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