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CLUSTERING OF DRUG, COSMETIC, TRADITIONAL MEDICINE, AND FOOD CRIME VULNERABILITY IN EAST JAVA USING THE K-MEDOIDS ALGORITHM

Jurnal Biometrika dan Kependudukan · Vol. 14 No. 1 (2025) · hlm. 34–44

DOI
10.20473/jbk.v14i1.2025.34-44
ISSN
2540-8828, 2302-707X
Terbit
2025-07-06
Penerbit
Universitas Airlangga
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-sa/4.0

Abstrak

Drug and Food crime vulnerability mapping is the process of identifying potential crimes based on investigation, news, and study analysis, including the results of supervision, intelligence, cyber, and information analysis. The purpose of this study is to classify the vulnerability of drug, cosmetic, traditional medicine, and food crime in East Java using the K-Medoids algorithm, as well as to see the development of the vulnerability of drug, cosmetic, traditional medicine, and food crime in East Java Province for 5 years from 2019 to 2023. The method used is the K-Medoids algorithm with the determination of the number of clusters using the Average Silhouette Width (ASW) method. The highest ASW value between 0.28447-0.61210 was obtained in clusters with 5 groups, namely very high, high, medium, low, and very low clusters. The results of the study show that from 2019 to 2023, as many as 12 regencies/cities have an increasingly vulnerable status, while 26 other regencies/cities have an increasingly safe status. The 12 regencies/cities that are increasingly vulnerable are Bangkalan Regency, Gresik Regency, Lamongan Regency, Nganjuk Regency, Pamekasan Regency, Pasuruan Regency, Ponorogo Regency, Sidoarjo Regency, Tuban Regency, Malang City, Probolinggo City, and Surabaya City. It is necessary to empower the community and intensify communication, provide education and disseminate information massively regarding the use of legal and safe Drugs and Food products, especially in areas with very high vulnerability.

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  • Universitas Airlangga
  • National Research and Innovation Agency
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Trias MahmudionoUniversitas Airlangga6
Nur Aisiyah WidjajaUniversitas Airlangga3
Chrysoprase Thasya AbihailUniversitas Airlangga3
Soenarnatalina MelanianiUniversitas Airlangga3
Yoppi Yeremia AlexanderUniversitas Airlangga2
Rino Tryanto KeyaUniversitas Airlangga2
Edi HermantoUniversitas Airlangga2
Hari Basuki NotobrotoUniversitas Airlangga2
Nur Anisah RahmawatiUniversitas Airlangga2
Vina Firmanty MustofaUniversitas Airlangga2
Yasmine NurfirdausUniversitas Airlangga2
Lailatul MunirohUniversitas Airlangga2
Annisa SocadeviaUniversitas Airlangga2
Kuntoro KuntoroUniversitas Airlangga2
Soenarnatalina MelanianiUniversitas Airlangga2
Tausiyah Rohmah NoviyantiAfiliasi tidak diketahui1
Rizka ArifaniUniversitas Airlangga1
Iitdrie IitdrieUniversitas Airlangga1
Qonita RachmahUniversitas Airlangga1
Susi HidayahUniversitas Airlangga1
Yurike Dhika AdhelaUniversitas Airlangga1
Dwi - KuswantoUniversitas Airlangga1
Hario MegatsariUniversitas Airlangga1
Edna ElkarimaUniversitas Airlangga1
Dicky Andhyka PriambudiUniversitas Airlangga1
Gunawan Pratama YogaNational Research and Innovation Agency1
Arief WibowoUniversitas Airlangga1
Eighty Mardiyan KurniawatiUniversitas Airlangga1
Budi PrasetyoUniversitas Airlangga1
Emyr Reisha IsauraUniversitas Airlangga1
Sri SumarmiUniversitas Airlangga1
Achmad DzulkifliUniversitas Airlangga1
Achidah Nur SyahdanaAfiliasi tidak diketahui1
Rr. Soenarnatalina MelanianiUniversitas Airlangga1
Lama'ah Azzahra'Universitas Airlangga1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://e-journal.unair.ac.id/JBK/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">CLUSTERING OF DRUG, COSMETIC, TRADITIONAL MEDICINE, AND FOOD CRIME VULNERABILITY IN EAST JAVA USING THE K-MEDOIDS ALGORITHM</dc:title>
	<dc:creator>Puspitasari, Ria</dc:creator>
	<dc:creator>Mahmudah, Mahmudah</dc:creator>
	<dc:creator>Indriani, Diah</dc:creator>
	<dc:creator>Indawati, Rachmah</dc:creator>
	<dc:creator>Ardianah, Eva</dc:creator>
	<dc:subject xml:lang="en-US">bpom</dc:subject>
	<dc:subject xml:lang="en-US">clustering</dc:subject>
	<dc:subject xml:lang="en-US">k-medoids</dc:subject>
	<dc:subject xml:lang="en-US">silhouette</dc:subject>
	<dc:subject xml:lang="en-US">vulnerability</dc:subject>
	<dc:description xml:lang="en-US">Drug and Food crime vulnerability mapping is the process of identifying potential crimes based on investigation, news, and study analysis, including the results of supervision, intelligence, cyber, and information analysis.  The purpose of this study is to classify the vulnerability of drug, cosmetic, traditional medicine, and food crime in East Java using the K-Medoids algorithm, as well as to see the development of the vulnerability of drug, cosmetic, traditional medicine, and food crime in East Java Province for 5 years from 2019 to 2023. The method used is the K-Medoids algorithm with the determination of the number of clusters using the Average Silhouette Width (ASW) method. The highest ASW value between 0.28447-0.61210 was obtained in clusters with 5 groups, namely very high, high, medium, low, and very low clusters. The results of the study show that from 2019 to 2023, as many as 12 regencies/cities have an increasingly vulnerable status, while 26 other regencies/cities have an increasingly safe status. The 12 regencies/cities that are increasingly vulnerable are Bangkalan Regency, Gresik Regency, Lamongan Regency, Nganjuk Regency, Pamekasan Regency, Pasuruan Regency, Ponorogo Regency, Sidoarjo Regency, Tuban Regency, Malang City, Probolinggo City, and Surabaya City. It is necessary to empower the community and intensify communication, provide education and disseminate information massively regarding the use of legal and safe Drugs and Food products, especially in areas with very high vulnerability.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2025-07-06</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://e-journal.unair.ac.id/JBK/article/view/71059</dc:identifier>
	<dc:identifier>10.20473/jbk.v14i1.2025.34-44</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Biometrika dan Kependudukan; Vol. 14 No. 1 (2025): JURNAL BIOMETRIKA DAN KEPENDUDUKAN; 34-44</dc:source>
	<dc:source>2540-8828</dc:source>
	<dc:source>2302-707X</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JBK/article/view/71059/33366</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Jurnal Biometrika dan Kependudukan</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>