MENGANALISA TINGKAT PENGANGGURAN DI DESA TITI MERAH DENGAN ALGORITMA C4.5

Roni Gustian Manik(1*), Agus Perdana Windarto(2), M. Fauzan(3),

(1) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(2) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(3) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(*) Corresponding Author

Abstract


The purpose of this study was to analyze and find out the unemployment rate in Titi Merah Village, Kec. Lima Puluh, Kab. Batu Bara. By knowing the unemployment rate in the village, the Village Government can further evaluate to expand job vacancies for the unemployed. This study measures the unemployment rate in the village of red titi, Kec. Lima Puluh, Kab. Batu Bara. The method used in this study is C4.5 Algorithm, where the source of the data used is questionnaire / questionnaire technique that is given to the community randomly in the village of Titi Merah, Kec. Fifty, Kab.Coal. The variables used include (1) Competition in the World of Work, (2) Education Level, (3) Minimum Wages (4) Inflation and (5) Information. The results of this study are the most dominant factors causing the unemployment rate in the village of red titi and is expected to be input to the village administration as an evaluation material in tackling unemployment in the village of Titi Merah, Kec. Lima Puluh, Kab. Batu Bara.

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References


M. Wardiansyah and Z. Bahri, “Analisis faktor-faktor yang mempengaruhi tingkat pengangguran (Studi kasus provinsi-provinsi se-Sumatera),” J. Ekon. Sumberd. dan Lingkung., vol. 5, no. 1, pp. 13–18, 2016.

S. Wahyuni, K. S. S, and M. I. Perangin-Angin., “Implementasi Rapidminer Dalam Menganalisa Data Mahasiswa Drop Out,” vol. 10, no. 2, pp. 2013–2016, 2017, doi: 10.3969/j.issn.1002-5006.2017.06.012.

Yulia and A. D. Putri, “Data Mining Menggunakan Algoritma C4 . 5 Untuk Memprediksi Kepuasan Mahasiswa Terhadap Terhadap Kinerja Dosen Di Kota Batam,” Comput. Based Informaon Syst. J., vol. 07, pp. 56–66, 2019.

M. Yuli, “Jurnal Edik Informatika Data Mining : Klasifikasi Menggunakan Algoritma C4 . 5 Data mining merupakan bagian dari tahapan proses Knowledge Discovery in Database ( KDD ) . Jurnal Edik Informatika,” J. Edik Inform., vol. 2, no. 2, pp. 213–219, 2017.

A. G. Mabrur, “Penerapan Data Mining Program Studi Teknik Informatika Jurnal Komputer dan Informatika ( KOMPUTA ),” 2012.

M. A. Sembiring, “Penerapan Metode Decision Tree Algoritma C45 Untuk Memprediksi Hasil Belajar Mahasiswa Berdasarkan Riwayat Akademik,” J. Teknol. dan Sist. Inf., vol. 3, no. 1, pp. 60–65, 2016.

N. Azwanti, “Analisa Algoritma C4.5 Untuk Memprediksi Penjualan Motor Pada Pt. Capella Dinamik Nusantara Cabang Muka Kuning,” Inform. Mulawarman J. Ilm. Ilmu Komput., vol. 13, no. 1, p. 33, 2018, doi: 10.30872/jim.v13i1.629.


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