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GROUPING PROVINCES IN INDONESIA BASED ON THE NUMBER OF VILLAGES AFFECTED BY ENVIROMENTAL POLLUTION WITH K-MEDOIDS, FUZZY C-MEANS, AND DBSCAN

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 18 No. 2 (2024) · hlm. 0923–0936

DOI
10.30598/barekengvol18iss2pp0923-0936
ISSN
2615-3017, 1978-7227
Terbit
2024-05-25
Penerbit
PATTIMURA UNIVERSITY
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Pollution can cause the environment to not function properly and ultimately harm humans and other living things. Environmental pollution is a problem that needs to be resolved because it involves the safety, health, and survival of living things. Air pollution in Pekanbaru due to a long dry season has resulted in forest fires. Then, 70% of drinking water is contaminated by fecal waste. In addition, the contamination of the land by the Chevron company resulted in residents suing the company. Until now, there has been no research that has carried out a comparison between methods for grouping villages affected by environmental pollution at the provincial level in Indonesia, so it is important to select the best method for carrying out the grouping. The limitations of this research are the use of three methods for clustering: K-Medoids, Fuzzy C-Means, and DBSCAN. The results showed that Fuzzy C-Means with five clusters have an optimal value compared to DBSCAN with an ICD rate value of 0,351. This method can be used by the government to improve the quality of villages that are clean from pollution in Indonesia, monitoring and evaluation based on the clusters formed.

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  • Universitas Airlangga
  • Institut Teknologi Sepuluh Nopember
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Rekan penulisOrganisasiArtikel bersama
Idrus SyahzaqiUniversitas Airlangga2
Toha SaifudinUniversitas Airlangga2
Dita AmeliaUniversitas Airlangga2
Elly AnaUniversitas Airlangga2
Muhammad AhsanInstitut Teknologi Sepuluh Nopember1
Hani Brilianti RochmantoInstitut Teknologi Sepuluh Nopember1
Kartika FithriasariInstitut Teknologi Sepuluh Nopember1
Salman Alfarizi Pradana AndikaputraInstitut Teknologi Sepuluh Nopember1
Aurellia Calista AnggakusumaUniversitas Airlangga1
Ezha Easyfa WieldyanisaUniversitas Airlangga1
Sabrina Salsa OktaviaUniversitas Airlangga1
Mega Kurnia DyaksaUniversitas Airlangga1
Anggi Triya VionitaUniversitas Airlangga1
Anisah Nabilah GhasaniUniversitas Airlangga1
Maria Setya DewantiUniversitas Airlangga1
Aurelia Islami AzisUniversitas Airlangga1
Ardi KurniawanUniversitas Airlangga1
Tentri Ryan RahmanitaUniversitas Airlangga1
Nuzulia AnidaUniversitas Airlangga1
Nabila Angel NafishaUniversitas Airlangga1
Suliyanto SuliyantoUniversitas Airlangga1
Ameliatul 'IffahUniversitas Airlangga1
Raditya SukmanaUniversitas Airlangga1

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Sumber metadata: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">GROUPING PROVINCES IN INDONESIA BASED ON THE NUMBER OF VILLAGES AFFECTED BY ENVIROMENTAL POLLUTION WITH K-MEDOIDS, FUZZY C-MEANS, AND DBSCAN</dc:title>
	<dc:creator>Syahzaqi, Idrus</dc:creator>
	<dc:creator>Effendi, Magdalena</dc:creator>
	<dc:creator>Rahmawati, Hasri</dc:creator>
	<dc:creator>Kuswanto, Heri</dc:creator>
	<dc:creator>Sediono, Sediono</dc:creator>
	<dc:description xml:lang="en-US">Pollution can cause the environment to not function properly and ultimately harm humans and other living things. Environmental pollution is a problem that needs to be resolved because it involves the safety, health, and survival of living things. Air pollution in Pekanbaru due to a long dry season has resulted in forest fires. Then, 70% of drinking water is contaminated by fecal waste. In addition, the contamination of the land by the Chevron company resulted in residents suing the company. Until now, there has been no research that has carried out a comparison between methods for grouping villages affected by environmental pollution at the provincial level in Indonesia, so it is important to select the best method for carrying out the grouping. The limitations of this research are the use of three methods for clustering: K-Medoids, Fuzzy C-Means, and DBSCAN. The results showed that Fuzzy C-Means with five clusters have an optimal value compared to DBSCAN with an ICD rate value of 0,351. This method can be used by the government to improve the quality of villages that are clean from pollution in Indonesia, monitoring and evaluation based on the clusters formed.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2024-05-25</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/11402</dc:identifier>
	<dc:identifier>10.30598/barekengvol18iss2pp0923-0936</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application; 0923-0936</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol18iss2year2024</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/11402/7892</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Idrus Syahzaqi, Magdalena Effendi, Hasri Rahmawati, Heri Kuswanto, Sediono Sediono</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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