Cluster Evaluation Weighing Intercomparison Data with Self Organizing Maps Algorithm

Sisfotenika

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Field Value
 
Title Cluster Evaluation Weighing Intercomparison Data with Self Organizing Maps Algorithm
 
Creator Solikin, Arif Fajar; Universitas AMIKOM Yogyakarta
Kusrini, Kusrini; Universitas AMIKOM Yogyakarta
Wibowo, Ferry Wahyu; Universitas AMIKOM Yogyakarta
 
Subject Cluster; Evaluation; Intercomparation;
 
Description Laboratory intercomparison is one of method to determine the ability and assess the performance of a laboratory. Laboratory performance can be seen from the evaluation of the En ratio’s value, which is a comparison between the difference in the value test of the participant's laboratory with reference’s laboratory and the difference in the square root of the uncertainty value form participant's laboratory and reference’s laboratory. The laboratory is declared equivalent if the En value is in the range of En ≤|1|. Intercomparisons evaluation can also be done by utilizing one of the data mining technologies in the form of clustering. Clustering is done by using self-organizing maps algorithm, which is an unsupervised learning algorithm. The advantage of clustering in evaluating intercomparation data lies in its ability to group data into several clusters that have closeness or similarity in characteristics / traits / characters of data, making it easier for intercomparation organizers to provide analytical recommendations for improving laboratory performance. Intercomparation data are grouped based on the homogeneity between members in one cluster and heterogeneity among the clusters. To get the best number of clusters, evaluation is carried out through three testing methods, pseudo-F statistic, icdrate and davies bouldin index. From several experiments, the largest pseudo-F statistic value was 167.53, the smallest icdrate value was 0.071 and the smallest DBI value was 0.053 for the 1000 g artifact. As for the 200 g artifact, the largest pseudo-F statistic value was 104.86, the smallest icdrate value was 0.289 and the smallest DBI value was 0.306
 
Publisher STMIK PONTIANAK
 
Contributor
 
Date 2021-08-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://sisfotenika.stmikpontianak.ac.id/index.php/ST/article/view/1153
10.30700/jst.v11i2.1153
 
Source SISFOTENIKA; Vol 11, No 2 (2021): SISFOTENIKA; 208-219
SISFOTENIKA; Vol 11, No 2 (2021): SISFOTENIKA; 208-219
2460-5344
2087-7897
10.30700/jst.v11i2
 
Language ind
 
Relation http://sisfotenika.stmikpontianak.ac.id/index.php/ST/article/view/1153/771
 
Rights Copyright (c) 2021 SISFOTENIKA
http://creativecommons.org/licenses/by/4.0
 

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