Sinta

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ALIRIDHO BARAKBAH
Information and Computer Engineering
SINTA ID : 6195306
Subjects/Areas:
id ID
19.4
Overall Score
1637
Overall Score V2
1
Books
2.32
3 Years Score
914
3 Years Score V2
1
IPR
1527
Rank in National
4249
3 Years National Rank
4
Rank in Affiliation
20
3 Years Affiliation Rank
View Result Analysis
Page 1 of 15 | Total Records : 150
Scholar Publications Citation
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Hierarchical K-means: an algorithm for centroids initialization for K-means
K Arai, AR Barakbah
Reports of the Faculty of Science and Engineering, Saga University 36 (1), 25-31 | vol: | issue : | 2007
237
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A pillar algorithm for k-means optimization by distance maximization for initial centroid designation
AR Barakbah, Y Kiyoki
Computational Intelligence and Data Mining, 2009. CIDM'09. IEEE Symposium on … | vol: | issue : | 2009
71
-
Analisa perbandingan metode hierarchical clustering, k-means dan gabungan keduanya dalam cluster data (studi kasus: Problem kerja praktek teknik industri its)
T Alfina, B Santosa, AR Barakbah
Jurnal teknik its 1 (1), A521-A525 | vol: | issue : | 2012
46
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Analisa Perbandingan Metode Hierarchical Clustering, K-Means dan Gabungan Keduanya dalam Cluster Data (Studi Kasus: Problem Kerja Praktek Teknik Industri I...
T Alfina, B Santosa, AR Barakbah
Jurnal Teknik ITS 1 (1), A521-A525 | vol: | issue : | 2012
33
-
A new approach for image segmentation using Pillar-Kmeans algorithm
AR Barakbah, Y Kiyoki
World Academy of Science, Engineering and Technology 59, 23-28 | vol: | issue : | 2009
26
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dkk. 2013
A Hafid
Konsep Dasar Ilmu Pendidikan | vol: | issue : | 0000
25
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Determining Constraints of Moving Variance to Find Global Optimum and Make Automatic Clustering
AR Barakbah, K Arai
Proc. Industrial Electronics Seminar (IES) 2004, Surabaya, Indonesia, 409-413 | vol: | issue : | 2004
23
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Identifying moving variance to make automatic clustering for normal dataset
AR Barakbah, K Arai
IECI Japan Workshop (IJW) 2004, Musashi Institute of Technology, Tokyo | vol: | issue : | 2004
21
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Cluster Analysis
HJ Mucha, H Sofyan
XploRe® — Application Guide, 239-279 | vol: | issue : | 2000
14
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Optimized K-means: an algorithm of initial centroids optimization for K-means
AR Barakbah, A Helen
Proc. Seminar on Soft Computing, Intelligent System, and Information … | vol: | issue : | 2005
13
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SINTA was originally initiated by:

UNISSULA

Universitas Islam Sultan Agung

UAD

Universitas Ahmad Dahlan

UNSRI

Universitas Sriwijaya
The Team:

Imam Much Ibnu Subroto

Universitas Islam Sultan Agung

Tole Sutikno

Universitas Ahmad Dahlan

Deris Stiawan

Universitas Sriwijaya

Ahmad Heryanto

Universitas Sriwijaya

Sam F Chaerul

Universitas Islam Sultan Agung

Herman Yuliansyah

Universitas Ahmad Dahlan