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Application of Data Mining Using the K-Means Clustering Algorithm for Opening Industrial Classes in Vocational High Schools DOI : 10.24014/ijaidm.v5i2.19172 | Abstract views : 188 times

Aan Rosydiana,Dian Sediana,Christina Juliane

Vocational High School has a goal to enter the world of work, meaning that it must have a skill program to be relevant to the industrial world. However, adapting to the industrial world is difficult, one of the things that is happening between industries ... see more

Data Mining | Clustering | Industrial Class | K-Means Algorithm

Indonesian Journal of Artificial Intelligence and Data Mining , 2022

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K-Means Clustering Algorithm Approach in Clustering Data on Cocoa Production Results in the Sumatra Region

Mawaddah Harahap, Arief Wahyu Dwi Ramadhanu Zamili, Muhammad Arie Arvansyah, Erwin Fransiscus Saragih, Selwa Rajen, Amir Mahmud Husein

Cocoa agricultural production in Indonesia is currently very low while demand continues to increase every year, so it is very important to build a model that can categorize cocoa farming data. The main objective of this research is to analyze agricultural... see more

K- Means Clustering Algorithm | Gaussian Mixture Model | Data Mapping | Cocoa Farm

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) , 2022

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Portfolio optimization based on self-organizing maps clustering and genetics algorithm

(1) Fajri Farid (Universitas Gadjah Mada, Indonesia) (2) Dedi Rosadi (Universitas Gadjah Mada, Indonesia)

In this modern era, gaining additional income is necessary to fulfill daily needs since inflation is unavoidable. Investing in stocks can give passive income to help people deal with the increasing prices of necessities. However, selecting stocks and cons... see more

Portfolio | Optimization | Clustering | Genetic Algorithm | Self-organizing Maps

International Journal of Advances in Intelligent Informatics , 2022

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The Clustering Rice Plant Diseases Using Fuzzy C-Means and Genetic Algorithm

Faza Adhzima, Yandra Arkeman, Irman Hermadi

Rice is an agricultural sector that is very important for Indonesia's economy. The main problem with rice plants is pest and disease control which has a hazardous impact and economic losses for farmers. The apparent characteristics of rice leaves have a g... see more

Clustering | Fuzzy C-Means | Genetic Algorithm | Image Processing | Rice Plants Diseases

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) , 2022

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Portfolio optimization based on self-organizing maps clustering and genetics algorithm

(1) Fajri Farid (Universitas Gadjah Mada, Indonesia) (2) Dedi Rosadi (Universitas Gadjah Mada, Indonesia)

Portfolio | Optimization | Clustering | Genetic Algorithm | Self-organizing Maps

IJAIN (International Journal of Advances in Intelligent Informatics) , 2022

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Application of MRI images based on Spatial Fuzzy Clustering Algorithm guided by Neuroendoscopy in the treatment of Tumors in the Saddle Region

Peng Zhang, Lingdang Zhang, Rui Zhao

Objective: The paper applies spatial fuzzy clustering algorithm to explore the role and value of neuroendoscopic assisted technology in the operation of tumors in the saddle region, and analyze the MRI image characteristics of tumors in the saddle region.... see more

Spatial fuzzy clustering algorithm | Neuroendoscopy | Tumors | Saddle region | Complications

Pakistan Journal of Medical Sciences , 2018

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Optimizing K-Means Algorithm by Using Particle Swarm Optimization in Clustering for Students Learning Process

(26) Rudi Hariyanto (Informatics Engineering Department, Universitas Merdeka Pasuruan, Indonesia)(27) Mohammad Zoqi Sarwani (Informatics Engineering Department, Universitas Merdeka Pasuruan, Indonesia)

In the implementation of learning, several factors affect the student learning process, including internal factors, external factors, and learning approach factors. For example, the physical and spiritual condition of students. Physiological aspects (body... see more

Learning process | Optimization Algorithm | PSO | K-Means | Clustering

Inform , 2021

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Load Balanced Clustering Technique in MANET using Genetic Algorithms

M. Kaliappan, E. Mariappan, M. Viju Prakash, B. Paramasivan

Mobile adhoc network (MANET) has characteristics of topology dynamics due to factors such as energy conservation and node movement that leads to dynamic load-balanced clustering problem (DLBCP). Load-balancing and reliable data transfer between all the no... see more

Clustering | genetic algorithm | load-balancing | mobile adhoc networks

Defence Science Journal , PP

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A STUDY OF COMPARING CONCEPTUAL AND PERFORMANCE OF K-MEANS AND FUZZY C MEANS ALGORITHMS (CLUSTERING METHOD OF DATA MINING) OF CONSUMER SEGMENTATION

Yunita Sinambela, Sukrina Herman, Ahsani Takwim, Septian Rheno Widianto

Consumers an important asset in a company that should be maintained properly especially potential customers. Tight competition requires companies to focus on the needs of the customer wants. Consumer segmentation is one of the processes carried out in the... see more

Data mining | consumer segmentation | clustering | K-MEANS | FUZZY C MEANS ALGORITHMS

Jurnal Riset Informatika , 2020

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