A TWO-STEP CLUSTER FOR CLASSIFYING PROVINCES IN INDONESIA BASED ON ENVIRONMENTAL QUALITY

Mahmudah, Umi and Lola, Muhammad Safiih (2023) A TWO-STEP CLUSTER FOR CLASSIFYING PROVINCES IN INDONESIA BASED ON ENVIRONMENTAL QUALITY. BAREKENG: Jurnal Ilmu Matematika dan Terapan, 11 (3). pp. 1685-1694. ISSN 2615-3017

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Abstract

The main objective of this study was to conduct a cluster analysis of the environmental health
index in Indonesia for all the provinces. Clustering the environmental health index was
important to reveal regional disparities, target and intervention policies, monitor progress over
time, and allocate resources more effectively for improved environmental health outcomes. In
this study, a sample of 34 units was utilized, encompassing all provinces in Indonesia. The
environmental health index was clustered based on five indicators, namely Water Quality Index,
Air Quality Index, Soil Quality Index, Marine Quality Index, and Land Cover Quality Index.
This research used the two-stage clustering method, which was unique in combining both
hierarchical and non-hierarchical clustering methods to produce a more accurate and reliable
solution. Four clusters were determined to group provinces in Indonesia based on the
environmental health index. The analysis found that the quality of clustering was in the fair but
close to good category. The clustering results showed that 32% of the provinces were in cluster
4 and 26.5% of the provinces were in cluster 1. Then, 23.5% and 17.6% of the provinces were
in clusters 2 and 3, respectively. In addition, two indicators were found to be the most predictive
of the overall clustering solution, namely the Soil Quality Index and the Land Cover Quality
Index. The results also implied that provinces in cluster 3 had the lowest environmental quality
so they must improve it by looking at provinces in cluster 4, which was the group with the best
environmental quality index.

Item Type:	Journal Article
Keywords:	Clustering; Two-step methods; Environmental quality
Subjects:	01 MATHEMATICAL SCIENCES > 0102 Applied Mathematics
Divisions:	Faculty of Mathematics and Sciences > Department of Mathematics
Depositing User:	Umi Machmudah
Date Deposited:	10 Jun 2024 13:25

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