Visualisasi Efek Perubahan Fungsi Lahan Menggunakan Maksimum Spanning Tree dengan Pembobot Korelasi

Authors

  • Dwi Risky Arifanti IAIN Palopo, Indonesia

DOI:

https://doi.org/10.24256/jpmipa.v5i2.274

Keywords:

Maximum Spanning Tree, Prim Algorithm.

Abstract

This study aims to visualize the effect of land use change using Maximum Spanning Tree with correlation weight between variables. In addition to know the most dominant factors affect the dependent variable. Based on data of land conversion of regency in South Sulawesi on year 2014, it is found that the percentage of villages experiencing the change of non-sawah land into rice field is the dominant factor. The percentage of districts / municipalities that have villages experiencing non-sawah land conversion to rice fields of 16.77 is expected to be reduced to 8.33%.

References

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Latifah, Umi, and Endang Sugiharti. “Penerapan Algoritma Prim Dan Kruskal Pada Jaringan Distribusi Air PDAM Tirta Moedal Cabang Semarang.” UNNES Journal of Mathematics 4, no. 1 (2015): 47–57.

Munir, Rinaldi. Matematika Diskrit. Bandung: ITB, 2012.

Nugraha, Deny Wiria. “Aplikasi Algoritma Prim Untuk Menentukan Minimum Spanning Tree Suatu Graf Berbobot Dengan Menggunakan Pemrograman Berorientasi Objek.” FORISTEK : Forum Teknik Elektro dan Teknologi Informasi 1, no. 2 (September 2011): 70–79.

Purwadi, Ihsan. Penerapan Bayes Network Dalam Penetapan Daerah Tertinggal. Bogor: IPB, 2009.

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Published

08-09-2018

How to Cite

Arifanti, D. R. (2018). Visualisasi Efek Perubahan Fungsi Lahan Menggunakan Maksimum Spanning Tree dengan Pembobot Korelasi. Al-Khwarizmi : Jurnal Pendidikan Matematika Dan Ilmu Pengetahuan Alam, 5(2), 155–164. https://doi.org/10.24256/jpmipa.v5i2.274

Issue

Vol. 5 No. 2 (2017): Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam

Section

Articles

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