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Open access Jurnal SINTA 3

Penerapan Algoritma K-Means Clustering untuk Pengelompokan Zona Nilai Tanah Berbasis WebGIS

SemanTIK: Teknik Informasi · Vol. 11 No. 2 (2025)

DOI
10.55679/semantik.v11i2.220
ISSN
2502-8928, 2460-1446
Published
2025-10-15
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Akses terhadap data spasial yang akurat dan interaktif penting untuk administrasi pertanahan, khususnya pengelolaan Zona Nilai Tanah (ZNT). Di Kota Tomohon, penyebaran ZNT masih bersifat konvensional melalui peta cetak atau file statis, sehingga rawan keterlambatan pembaruan dan kesalahan interpretasi. Penelitian ini mengembangkan aplikasi WebGIS dengan algoritma K-Means Clustering untuk mengklasifikasikan ZNT di beberapa kecamatan Tomohon Barat, Selatan, dan Tengah, serta memanfaatkan CesiumJS untuk visualisasi 3D interaktif. Pengembangan menggunakan metodologi Waterfall melalui tahapan analisis, desain, implementasi, pengujian, dan pemeliharaan. Aplikasi memungkinkan pengguna melihat peta interaktif, mengunduh data, memfilter nilai, dan mengelola shapefile secara dinamis. Pengujian black-box memastikan semua fitur berfungsi dengan baik, sedangkan validasi spasial melalui confusion matrix menghasilkan akurasi 82,5% (K=5). Sistem ini meningkatkan transparansi, aksesibilitas, dan efisiensi layanan pertanahan serta mendukung transformasi digital Kantor Pertanahan Tomohon. Access to accurate and interactive spatial data is essential for land administration, particularly for managing Land Value Zones (ZNT). In Tomohon City, ZNT dissemination is still conventional through printed maps or static files, causing delayed updates and potential interpretation errors. This study develops a WebGIS application implementing K-Means Clustering to classify ZNT in several sub-districts of Tomohon Barat, Selatan, and Tengah, and integrates CesiumJS for interactive 3D visualization. The system was built using the Waterfall methodology through analysis, design, implementation, testing, and maintenance phases. The application allows users to view interactive maps, download data, apply value-based filters, and manage shapefiles dynamically. Black-box testing confirmed that all features worked properly, while spatial validation using a confusion matrix achieved 82.5% accuracy (K=5). The system improves transparency, accessibility, and efficiency of land information services and supports the digital transformation of the Tomohon Land Office.

Keywords

Collaboration network of the authors

9 authors · 12 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Manado State University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Mesiasi Anjelika SupitManado State University1
Audy Aldrin KenapManado State University1
Syalomita CintaManado State University1
Glenn MaramisManado State University1
Sweet KumontoyManado State University1
Sondy Campvid KumajasManado State University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://semantik.uho.ac.id/index.php/journal/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Penerapan Algoritma K-Means Clustering untuk Pengelompokan Zona Nilai Tanah Berbasis WebGIS</dc:title>
	<dc:creator>Duaulu, Arsila</dc:creator>
	<dc:creator>Glenn David Paulus Maramis</dc:creator>
	<dc:creator>Santa, Kristofel</dc:creator>
	<dc:subject xml:lang="en-US">Web</dc:subject>
	<dc:subject xml:lang="en-US">Wilayah, Pendidikan, Algoritma K-Means</dc:subject>
	<dc:subject xml:lang="en-US">Zona Nilai Tanah</dc:subject>
	<dc:subject xml:lang="en-US">WebGIS</dc:subject>
	<dc:subject xml:lang="en-US">Clustering</dc:subject>
	<dc:subject xml:lang="en-US">CesiumJS</dc:subject>
	<dc:description xml:lang="en-US">Akses terhadap data spasial yang akurat dan interaktif penting untuk administrasi pertanahan, khususnya pengelolaan Zona Nilai Tanah (ZNT). Di Kota Tomohon, penyebaran ZNT masih bersifat konvensional melalui peta cetak atau file statis, sehingga rawan keterlambatan pembaruan dan kesalahan interpretasi. Penelitian ini mengembangkan aplikasi WebGIS dengan algoritma K-Means Clustering untuk mengklasifikasikan ZNT di beberapa kecamatan Tomohon Barat, Selatan, dan Tengah, serta memanfaatkan CesiumJS untuk visualisasi 3D interaktif. Pengembangan menggunakan metodologi Waterfall melalui tahapan analisis, desain, implementasi, pengujian, dan pemeliharaan. Aplikasi memungkinkan pengguna melihat peta interaktif, mengunduh data, memfilter nilai, dan mengelola shapefile secara dinamis. Pengujian black-box memastikan semua fitur berfungsi dengan baik, sedangkan validasi spasial melalui confusion matrix menghasilkan akurasi 82,5% (K=5). Sistem ini meningkatkan transparansi, aksesibilitas, dan efisiensi layanan pertanahan serta mendukung transformasi digital Kantor Pertanahan Tomohon.
Access to accurate and interactive spatial data is essential for land administration, particularly for managing Land Value Zones (ZNT). In Tomohon City, ZNT dissemination is still conventional through printed maps or static files, causing delayed updates and potential interpretation errors. This study develops a WebGIS application implementing K-Means Clustering to classify ZNT in several sub-districts of Tomohon Barat, Selatan, and Tengah, and integrates CesiumJS for interactive 3D visualization. The system was built using the Waterfall methodology through analysis, design, implementation, testing, and maintenance phases. The application allows users to view interactive maps, download data, apply value-based filters, and manage shapefiles dynamically. Black-box testing confirmed that all features worked properly, while spatial validation using a confusion matrix achieved 82.5% accuracy (K=5). The system improves transparency, accessibility, and efficiency of land information services and supports the digital transformation of the Tomohon Land Office.</dc:description>
	<dc:publisher xml:lang="en-US">Informatics Engineering Department of Halu Oleo University</dc:publisher>
	<dc:date>2025-10-15</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://semantik.uho.ac.id/index.php/journal/article/view/220</dc:identifier>
	<dc:identifier>10.55679/semantik.v11i2.220</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol. 11 No. 2 (2025): Vol. 11 No. 2 (2025): SemanTIK Teknik Informasi</dc:source>
	<dc:source>2502-8928</dc:source>
	<dc:source>2460-1446</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://semantik.uho.ac.id/index.php/journal/article/view/220/38</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Arsila Duaulu, Glenn David Paulus Maramis, Kristofel Santa</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>