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All Journal Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Arif Fajar Solikin
Magister Teknik Informatika Universitas AMIKOM Yogyakarta
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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UJI HOMOGENITAS DAN HETEROGENITAS CLUSTER DATA INTERKOMPARASI ANAK TIMBANGAN Arif Fajar Solikin; Kusrini; Ferry Wahyu Wibowo
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 20 No 1 (2022): Januari 2022
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v20i1.39

Abstract

Intercomparison of mass quantities is an activity to compare performance between laboratories ofmass quantities and reference laboratories which produces intercomparative data in the form ofconventional mass values and uncertainty values. Clustering of weights was carried out to obtain ananalysis of the laboratory’s participants management. The analysis carried out is very dependent on theaccuracy of the cluster. Clustering using self-organizing maps algorithm, and the results are tested for thelevel of homogeneity within the cluster and the level of heterogeneity between clusters using the icdrate value.The clustering of intercomparison’s data using the self-organizing maps method resulted in an icdratevalue of 0,0713 for an artifact of 1000 g and an icdrate of 0,2889 for an artifact of 200g
Co-Authors Ferry Wahyu Wibowo Kusrini