Regency grouping in East Java based on Variable Type of Agriculture uses Hybrid Hierarchical Clustering Via Mutual Cluster Method

Sulthan Fikri Mu'afa, Nurissaidah Ulinnuha

Abstract


East Java Province is one of the provinces that has the largest agricultural resources in Indonesia. The Government of East Java needs to produce superior commodities in each region. This study aims to group districts in East Java Province based on variable types of agriculture with the hybrid hierarchical clustering via mutual cluster method, that combines the merging of bottom-up clustering advantages and top-down clustering advantages. Mutual cluster is a grouping with the largest distance between small groups of the shortest distance for each point outside the group. In this research, the calculation uses Euclidean distance. The division calculation is obtained by finding the minimum  value and the maximum  value and using the analysis of variance calculation. The grouping results obtained were nine groups with  value of  725.934, value of 1.475.978 and value of 7,908.


References


BPS, Hasil Survei Pertanian Antar Sensus (SUTAS) 2018. Jakarta: Badan Pusat Statistik Indonesia, 2018.

BPS, Potensi Pertanian Provinsi Jawa Timur. Surabaya: BPS Jawa Timur, 2013.

N. Pigai, “Pertanian di Pulau Jawa Kritis, Lahan Habis untuk Infrastruktur,” Law Justice, 2019. [Online]. Available: https://www.law-justice.co/artikel/60530/pertanian-di-pulau-jawa-kritis-lahan-habis-untuk-infrastruktur/. [Accessed: 15-Oct-2019].

S. Nugroho, Statistika Multivariat Terapan. Bengkulu: UNIB Press Bengkulu, 2008.

H. Chipman and R. Tibshirani, “Hybrid hierarchical clustering with applications to microarray data,” Oxford Univ., vol. 7, no. 2, pp. 286–301, 2006.

A. Alfira, F. Hermin, and E. D. Wiraningsih, “Analisis Hybrid Mutual Clustering menggunakan Jarak Square Euclidean,” pp. 9–15, 2016.

A. K. Raharja and D. Agus, “Pengelompokan Kecamatan di Lamongan Berdasarkan Variabel Sektor Pertanian dengan Metode Hybrid Hierarchical Clustering Via Mutual Cluster,” pp. 1–6.

D. Mariyani, S. W. Purnami, and W. S. Winahju, “Penerapan Hybrid Hierarchical Clustering melalui Mutual Cluster dalam Pengelompokan Kabupaten di Jawa Timur Berdasarkan Variabel Sektor Pertanian,” pp. 1–10, 2011.

Walpole, E. Ronald, and R. H. Myers, Ilmu Peluang Dan Statistika untuk Insinyur dan Ilmuawan, 4th ed. Bandung: Institut Teknologi Bandung, 1995.

J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis Seventh Edition. London: Pearson Education Prentice Hall Inc, 2014.

R. Hocking, Methods and Application of Linier Models. New York: John Wiley & Sons, 1996.

A. Rencher, Methods Of Multivariate Analysis Second Edition. Wiley Series In Probability and Mathematical Statistics, 2002.

A. R. Barakbah and K. Arai, “Determining Constraints of Moving Variance to Find Global Optimum and Make Automatic Clustering Determining Constraints of Moving Variance to Find Global Optimum and Make Automatic Clustering,” no. October, 2004.

D. C. Montgonery, Design and Analysis of Experiment, fifth edition. New York: John Wiley & Sons, 2001.

BPS Provinsi Jawa Timur, “Provinsi Jawa Timur Dalam Angka 2018,” BPS Provinsi Jawa Timur, p. 390, 2018.


Full Text: PDF

DOI: 10.15408/inprime.v2i1.14167

Refbacks

  • There are currently no refbacks.