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Ully Putriana
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Journal : Journal of applied statistics and data mining

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ANALISIS KOMPONEN UTAMA (AKU) UNTUK PENGELOMPOKAN AREA PELAYANAN DAN JARINGAN (APJ) DAERAH JAWA TENGAH DAN D.I. YOGYAKARTA Safaat Yulianto; Ully Putriana
Journal of Applied Statistics and Data Mining Vol. 1 No. 1 (2020): Journal Applied Statistics and Data Mining
Publisher : Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63229/jasdm.v1i1.3

Abstract

Principal component analysis is a statistical analysis of multiple variables that can be used to reduce the number of original variables into new variables that are orthogonal and keep the total variability of the original variables. This study will classify each APJ in Central Java and Yogyakarta based on the factors that influence it. The data used is the Data and Statistics Year 2010 issued by PT. PLN (Persero) Distribution Central Java and D.I. Yogyakarta.
Co-Authors Safaat Yulianto