The use of data mining classification technique to fill in structural positions in bogor local government

Tosan Wiar Ramdhani, Betty Purwandari, Yova Ruldeviyani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The human resources of Bogor local government are managed by human resources and training division, which is called Badan Kepegawaian Pendidikan dan Pelatihan (BKPP). BKPP form a team called Badan Pertimbangan Jabatan dan Kepangkatan (Baperjakat), which are responsible for promoting, rotating and dismissing local government employees from structural positions below the Echelon IIA positions. Baperjakat have problems on constructing the draft of structural government positions. These processes were done manually, even though BKPP have a human resources information systems called SIMPEG. The main purpose of this research is to identify patterns to fill in structural positions in Bogor Local Government. 62 Classifications algortithms were tested using 3 data mining tools with 7 data sets and 7 human resources attributes to identify filling structural position patterns. The classification process yields Classification Rule with Unbiased Interaction Selection and Estimation (CRUISE) as the best algorithm in echelon class. Its average accuracy is 95.7% for each echelon level.

Original languageEnglish
Title of host publication2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages536-541
Number of pages6
ISBN (Electronic)9781509046294
DOIs
Publication statusPublished - 6 Mar 2017
Event8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016 - Malang, Indonesia
Duration: 15 Oct 201616 Oct 2016

Publication series

Name2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016

Conference

Conference8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
CountryIndonesia
CityMalang
Period15/10/1616/10/16

Keywords

  • CRUISE
  • data mining
  • human resources information systems

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