Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Buletin Statistika dan Aplikasi Terkini
Effendi, Magdalena
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Co-Authors Heri Kuswanto Hidayat, revalinaputria Idrus Syahzaqi Rahmadani, Afifah Nisa Rahmawati, Hasri Riza, Fikri Ahmad Sediono, Sediono Simanungkalit, Ariel Muda Surya Puspita Sari, Surya Puspita