TELKOMNIKA Telecommunication, Computing, Electronics and Control
Quantitative approach for reclassification of the spatial cluster of archipelagos in Maluku Province for the basis of forest development

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Quantitative approach for reclassification of the spatial cluster of archipelagos in Maluku Province for the basis of forest development

Accuracy clustering
Archepelago clustering
Discriminant analysis
Maluku

In natural resource management, it is necessary to group regions based on the
similarity of their spatial and non-spatial characteristics, to efficiency and
effectiveness Therefore, this study describes the re-grouping of the twelve
island clusters established by the provincial government of Maluku into more
homogeneous classes. The re-grouping was carried out based on the
biophysical conditions of the regions, therefore, it could be used as the basis
for determining the forest management units. The results showed that the
twelve designated island clusters could be simplified to eight more
homogeneous island clusters with 86.4% accuracy and 82.2 validation. It also
showed that there were thirteen significant changes in the grouping of clusters
of the island, including the horticultural crop area (Bf) and horticultural crop
production (E). Moreover, when the island cluster is reclassified into 5 classes,
the grouping would be more accurate, with 94.9% accuracy and 92.4%
validation. This study concludes that there are two dominant factors in the
classification of the island cluster in Maluku province namely, biophysical and
social.

Patrich Papilaya, Endang Suhendang, I Nengah Surati Jaya, Teddy Rusolono

http://journal.uad.ac.id/index.php/TELKOMNIKA

Jul 30, 2021

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