PERANCANGAN DATA WAREHOUSE DAN PENERAPAN ALGORITMA ID3 PADA ANALISA POTENSI DAN HAMBATAN PERKEMBANGAN DESA BERDASARKAN POLA HIDUP MASYARAKAT

Authors

  • Sehman Sehman Universitas Maarif Hasyim Latif, Sidoarjo

DOI:

https://doi.org/10.30736/jt.v11i1.292

Keywords:

Data, Village, Id3, Pattern, Rule, Warehouse

Abstract

The lack of understanding of the importance of data will result in a large impact loss because with the existence of an important sense of the data, an agency either private or public company will easily make decisions. A data warehouse is an option that must be considered for the village in processing and storing large classified data such as data from a village. In addition to the application of the research data warehouse, it also uses the ID3 algorithm which is useful as a theory to analyze the potentials and obstacles that affect the development of a village based on the data of the lifestyle of the local community. Data on population, education, health, conditions of infrastructure, village finance, village assets, community organizations, community economic activities and daily activities of the village community will be extracted and stored by building a data warehouse, data is sought from data warehouse which will be used as dataset pattern community life so that it is easily analyzed and can be used as training data to make decisions by applying the ID3 algorithm. The ID3 algorithm that has been applied to the community lifestyle dataset will produce a rule that has an influential potential class, and the potential to hamper village development. The accuracy of the system to be made has a hypothesis of 95%. because the rule generated by id3 will be compared with the rule collected based on respondents from the previous data, which is data on urban residents who have advanced.

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References

Arief dwi hartadi; oktalia juwita.(2012). perancangan data warehouse dan penerapan teknik clustering spatial pada wesel. ComTech 199-212.

Anuja priyama, abhijeeta, rahul guptaa, anju ratheeb, and saurabh srivastavab. (2013).comparative analysis of decision tree classification algorithms. International prees corporation. 334-337.

Halim Agung. (2017). Implementasi Star Schema Dala Perancangan Aplikasi Data Warehouse Administrasi Desa Wisata Cibuntu. Jakarta.

Julce Adiana Sidettea, Eko Sediyonob , Oky Dwi Nurhayatic. (2014). Pendekatan Metode Pohon Keputusan dengan Algoritma ID3 Untuk Sistem Informasi Pengukuran Kinerja PNS.

Permen desa pdt trans nomor 2 tahun 2016 tentang indeks desa membangun. Https://jogloabang.com/pustaka/permendesapdttrans-nomor-2-tahun-2016-tentang-indeks-desa-membangun.

R.Fiati. dan N.Latifah. 2013. Sistem Pendukung Keputusan untuk Menentukan Kelayakan Desa Mandiri Menggunakan FMADM Prosiding Seminar Nasional Ilmu Komputer FMIPA Unnes. 137-141

Safroni, L.M., (2012). Manajemen dan Reformasi Pelayanan Publik dalam Konteks Birokrasi Indonesia, AM Publising, Yogyakarta

Satria. 2017. Kerangka Kerja untuk Mengupayakan Satu Sistem Informasi Desa yang Terintegrasi. KOMPAK Working Paper Series No.1

Wahyudin;. (2009). Metode Iterative Dichotomizer 3 (ID3) 8 Untuk Penyeleksian Pemerimaan Mahasiswa Baru. Jurnal Pendidikan Teknologi Informasi dan Komunikasi, 5-15

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Published

2019-03-21

How to Cite

Sehman, S. (2019). PERANCANGAN DATA WAREHOUSE DAN PENERAPAN ALGORITMA ID3 PADA ANALISA POTENSI DAN HAMBATAN PERKEMBANGAN DESA BERDASARKAN POLA HIDUP MASYARAKAT. Jurnal Teknika, 11(1), 1089–1094. https://doi.org/10.30736/jt.v11i1.292

Issue

Section

Jurnal Teknika