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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Tropical Small Island Agriculture Management
Patrich Phill Edrich Papilaya
Jurusan Kehutanan Fakultas Pertanian Universitas Pattimura, Ambon, 97233
Agriculture, Biological Sciences & Forestry Computer Science & IT

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Quantitative approach for reclassification of the spatial cluster of archipelagos in Maluku Province for the basis of forest development Patrich Papilaya; Endang Suhendang; I Nengah Surati Jaya; Teddy Rusolono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 5: October 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i5.17041

Abstract

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.
The establishment of twelve island groups as a development directive in Maluku Province Patrich P E Papilaya; I N S Jaya; Tri Rusolono
Tropical Small Island Agriculture Management Vol 2 No 1 (2022): Tropical Small Island Agriculture Management
Publisher : Pattimura University Ambon Maluku Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tsiam.2022.2.1.56

Abstract

This research was created to test the existence of the determination of twelve groups of development islands that are by the development of development in the field of forestry. Biophysical, social and economic data were used to test the twelve island clusters' determination. Cluster analysis is used in testing the determination of twelve island clusters. The kaiser-Meyer-Elkin (KME) and multicollinearity tests are used to obtain data quality in cluster analysis. The cluster analysis results using twelve variables free of multicollinearity (VIF) resulted in five island clusters. Cluster analysis using Ward's method with Kophenitic distance (Cophenetic Distance) provides maximum results, where the distance between the furthest groups (between classes) of 76028208246067.70 or 97.15% and the closest distance of fellow groups 2228914432702.33 or 2.85 %.
Co-Authors ENDANG SUHENDANG I N S Jaya I Nengah Surati Jaya Teddy Rusolono Tri Rusolono