Utilization of Data Mining Classification Technique for Civil Servant Mutation Pattern: A Case Study of Pangkajene and Kepulauan District Government

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

2 Citations (Scopus)

Abstract

Pangkajene and Kepulauan (Pangkep) District is an area located in South Sulawesi Province, Indonesia. Regional Civil Servants, Education, and Training (BKPPD) responsible for managing the civil servants (PNS) of Pangkep District. BKPPD provides mutation services to civil servants ranging from recruitment, placement, transfer, education and training, discipline, dismissal, and retirement. Currently, BKPPD has difficulty in conducting mutations, determining which civil servants should be transferred because the absence of a reference mutation pattern. This study aims to obtain mutation patterns using data mining based on historical data on the employment service application system (SAPK). We use three classification algorithms, which are Decision Tree, Naïve Bayes, and Support Vector Machine (SVM) for revealing the mutation pattern in the mutation history data. We find that the decision tree yields the highest accuracy compared to Naive Bayes and SVM with a value of 72.76%. This research also recommends that the mutation pattern may be implemented by BKPPD to design the civil servants redistribution planning of Pangkep District Government.

Original languageEnglish
Title of host publicationProceedings of ICAITI 2018 - 1st International Conference on Applied Information Technology and Innovation
Subtitle of host publicationToward A New Paradigm for the Design of Assistive Technology in Smart Home Care
EditorsYance Sonatha, Rahmat Hidayat, Alde Alanda, MT Humaira, Indri Rahmayuni
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538667262
DOIs
Publication statusPublished - 10 Apr 2019
Event1st International Conference on Applied Information Technology and Innovation, ICAITI 2018 - Padang, Indonesia
Duration: 4 Sep 20185 Sep 2018

Publication series

NameProceedings of ICAITI 2018 - 1st International Conference on Applied Information Technology and Innovation: Toward A New Paradigm for the Design of Assistive Technology in Smart Home Care

Conference

Conference1st International Conference on Applied Information Technology and Innovation, ICAITI 2018
Country/TerritoryIndonesia
CityPadang
Period4/09/185/09/18

Keywords

  • CRISP-DM
  • Data Mining
  • Decision Tree
  • Naïve Bayes
  • Pangkep
  • SVM

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