Proceedings of the 3rd International Conference of Science Education in Industrial Revolution 4.0, ICONSEIR 2021, December 21st, 2021, Medan, North Sumatra, Indonesia

Research Article

Village Status Classification Based Tree Algorithm

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  • @INPROCEEDINGS{10.4108/eai.21-12-2021.2317488,
        author={Nadhira Nur Salima and Ahmad  Ilham},
        title={Village Status Classification Based Tree Algorithm},
        proceedings={Proceedings of the 3rd International Conference of Science Education in Industrial Revolution 4.0, ICONSEIR 2021, December 21st, 2021, Medan, North Sumatra, Indonesia},
        publisher={EAI},
        proceedings_a={ICONSEIR},
        year={2022},
        month={5},
        keywords={village status classification podes2016 tree algorithm},
        doi={10.4108/eai.21-12-2021.2317488}
    }
    
  • Nadhira Nur Salima
    Ahmad Ilham
    Year: 2022
    Village Status Classification Based Tree Algorithm
    ICONSEIR
    EAI
    DOI: 10.4108/eai.21-12-2021.2317488
Nadhira Nur Salima1,*, Ahmad Ilham1
  • 1: Department Informatics, Universitas Muhammadiyah Semarang, Indonesia
*Contact email: nadhira@unimus.ac.id

Abstract

Knowing the status of the village is very important to how developed the village is. The Central Statistics Agency (BPS) has carried out a classification process using the traditional scoring method, making it difficult to provide timely data. In this study, decision tree algorithm will be applied. The algorithm will test on the Podes2016 dataset focused on the Daerah Istimewa Yogyakarta (DIY) region, where the accuracy matrix is used to measure the algorithm's performance. The results showed that the proposed algorithm highest accuracy (87,40%) than the two comparison algorithms, such as the ID3 (83,81%) and C4.5 (80,62%). It can be concluded that the proposed algorithm can score very well and has good accuracy.