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Application of Clustering Algorithm CLOPE to the Query Grouping Problem in the Field of Materialized View Maintenance

Kateryna Novokhatska,Oleksii Kungurtsev

In recent years, materialized views (MVs) are widely used to enhance the database performance by storing pre-calculated results of resource-intensive queries in the physical memory. In order to identify which queries may be potentially materialized, datab... see more

Journal of Computing and Information Technology , 2016

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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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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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Prioritized Mapping in Bali: Multi-View Hierarchical Agglomerative Clustering (MVHAC) Approach

Gede Andika, Lincolin Arsyad

This study aims to determine which sectors and areas should be prioritized in development in BalI. The data used is panel data from 2010 – 2022 for all districts/cities in Bali. The data analysis technique for mapping sectors and regions is Multi-View Hie... see more

Jurnal Ekonomi Kuantitatif Terapan , 2023

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CONSONANT CLUSTERS IN INDONESIAN LOANWORDS DOI : 10.30743/ll.v6i2.6152 | Abstract views : 42 times

Ekarina Ekarina

This paper investigates two types of loanwords in Indonesian from a list published by NUSA in 1997 and the online version of Kamus Besar Bahasa Indonesia (KBBI, 2019): those of Sanskrit origin, and of European origins. When languages borrow words fr... see more

LANGUAGE LITERACY: Journal of Linguistics; Literature; and Language Teaching , PP

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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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CONSONANT CLUSTERS IN INDONESIAN LOANWORDS DOI : 10.30743/ll.v6i2.6152 | Abstract views : 40 times

Ekarina Ekarina

Language Literacy: Journal of Linguistics, Literature, and Language Teaching , PP

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SOCIAL NETWORK ANALYSIS OF MANGOSTEEN TECHNOLOGY DEVELOPMENT CLUSTER IN INDONESIA BASED ON PATENT DOCUMENT APPLICATION doi : 10.14203/j.baca.v43i1.828 | Abstract views: 185 times

Aris Yaman,Yulia Aris Kartika,Silmi Tsurayya,Adi Ankafia,Lindung Parningotan Manik,Zaenal Akbar,Ariani Indrawati

Functional food consumption is on the rise and has a significant market value. Indonesia is one of the largest mangosteens (a functional food source commodity) exporting countries globally. Unfortunately, the mangosteen export is still in fresh fruit cond... see more

Functional Food | Mangosteen | Patent | Patent Cluster | Social Network Analysis

Baca: Jurnal Dokumentasi dan Informasi , 2022

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Data Clustering for Identification of Building Conditions Using Hybrid Multivariate Multinominal Distribution Soft Set (MMDS) Method

--> Rohmat Saedudin ( Department of Information Systems, Telkom University, Bandung, West Java, Indonesia) --> Iwan Tri Riyadi Yanto ( Department of Information Systems, Universitas Ahmad Dahlan, Indonesia) --> Avon Budiono ( Department of Information Systems, Telkom University, Bandung, West Java, Indonesia) --> Sely Novita Sari ( Institute Teknologi Nasional Yogyakarta, Indonesia) --> Mustafa Mat Deris ( Universiti Tun Hussein Onn Malaysia, Johor, Malaysia) --> Norhalina Senan ( Universiti Tun Hussein Onn Malaysia, Johor, Malaysia) Rohmat Saedudin,Iwan Tri Riyadi Yanto,Avon Budiono,Sely Novita Sari,Mustafa Mat Deris,Norhalina Senan --> Abstract : 0 Viewers PDF : 0 Viewers DOI: http://dx.doi.org/10.30630/joiv.6.2.986

Identifying building conditions for user safety is an urgent matter, especially in earthquake-prone areas. Clustering buildings according to their conditions in the categories of danger, vulnerable, normal, and safe is important information for residents ... see more

Clustering | Soft Set | Multivariate Multinomial Distribution

International Journal on Informatics Visualization , 2022

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