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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Buletin Statistika dan Aplikasi Terkini
Effendi, Magdalena
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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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 Syahzaqi, Idrus; Effendi, Magdalena; Rahmawati, Hasri; Kuswanto, Heri; Sediono, Sediono
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp0923-0936

Abstract

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.
ANALISIS PENGELOMPOKAN PROVINSI DI INDONESIA BERDASARKAN JUMLAH DESA/KELURAHAN MENURUT JENIS PENCEMARAN LINGKUNGAN HIDUP TAHUN 2024 MENGGUNAKAN PCA DAN K-MEANS CLUSTERING Rahmadani, Afifah Nisa; Hidayat, revalinaputria; Riza, Fikri Ahmad; Simanungkalit, Ariel Muda; Sari, Surya Puspita; Effendi, Magdalena
BESTARI BPS Kalimantan Timur Vol. 5 No. 2 (2025): Vol. 5 No. 02 (2025): Bestari 10th Edition
Publisher : BPS Kalimantan Timur

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Abstract

Environmental pollution is a critical issue in Indonesia due to its impact on public health and ecosystem sustainability. Variations in pollution conditions across provinces indicate the need for analyses that can comprehensively describe spatial patterns. This study aims to classify 38 provinces in Indonesia based on the number of villages and urban villages according to types of environmental pollution, including water, soil, air pollution, and areas without pollution, in 2024. The data were obtained from official publications of Statistics Indonesia (BPS). The analysis employed Principal Component Analysis (PCA) as a dimensionality reduction technique, followed by K-Means Clustering to group provinces with similar pollution characteristics. The initial analysis was supported by descriptive statistical exploration and data standardization. The PCA results show that two principal components explain 89.41% of the total data variance. The optimal number of clusters was determined using the Elbow method and Silhouette coefficient, indicating that a two-cluster solution provides the most appropriate clustering structure (Silhouette score = 0.40). The clustering results reveal differences in environmental pollution characteristics between provinces in western and eastern Indonesia. These findings provide an initial, area-based descriptive overview of environmental pollution distribution in Indonesia and can support regional environmental management and more targeted policy formulation.
ANALISIS KLASTER WILAYAH PADA PENGELOLAAN SAMPAH MELALUI BANK SAMPAH DI KALIMANTAN MENGGUNAKAN FUZZY K-MEANS UNTUK PENGUATAN KEBIJAKAN LINGKUNGAN Rosady, Erzha Nafilah; Rizqi, Zafyra Nur; Nur, Muhammad Dafiq; Sinambela, Johannes Martin; Sari, Surya Puspita; Effendi, Magdalena
BESTARI BPS Kalimantan Timur Vol. 5 No. 2 (2025): Vol. 5 No. 02 (2025): Bestari 10th Edition
Publisher : BPS Kalimantan Timur

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Abstract

The increase in waste generation in Kalimantan, along with population growth and economic activity, has become a complex environmental issue. The disparity in management capacity among regions has led to differences in the effectiveness of waste management systems, particularly in the implementation of waste banks as a form of community-based management. This study aims to cluster regencies/cities in Kalimantan based on waste management characteristics using the Fuzzy K-Means method to obtain a spatial mapping that supports the formulation of fairer and more efficient waste management policies. Secondary data were obtained from the National Waste Management Information System (SIPSN) and the Central Statistics Agency (BPS), covering variables such as waste generation, managed waste volume, land area, and population. The analysis results show that the optimal number of clusters is two (2): one cluster representing regions with high waste management performance dominated by major cities such as Balikpapan and Banjarmasin, and another cluster representing regions with low management performance due to limited infrastructure. These findings highlight spatial disparities in the effectiveness of waste bank programs across Kalimantan. The clustering results are expected to serve as a foundation for local governments in developing strategies to strengthen waste management policies, particularly through the implementation of the national program “1 RW 1 Waste Bank” and the adoption of sustainable circular economy principles.
Co-Authors Heri Kuswanto Hidayat, revalinaputria Idrus Syahzaqi Nur, Muhammad Dafiq Rahmadani, Afifah Nisa Rahmawati, Hasri Riza, Fikri Ahmad Rizqi, Zafyra Nur Rosady, Erzha Nafilah Sediono, Sediono Simanungkalit, Ariel Muda Sinambela, Johannes Martin Surya Puspita Sari, Surya Puspita