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All Journal Jurnal Technopreneur (JTech) ILKOM Jurnal Ilmiah TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Journal of Technology Research in Information System and Engineering Bulletin of Social Informatics Theory and Application Jurnal Informatika dan Teknik Elektro
Citra Suardi
PSDKU Informatika, Universitas Ciputra, Surabaya, East Java, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Mechanical Engineering Social Sciences Other

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Journal : Bulletin of Social Informatics Theory and Application

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Enhancing Lae-Lae Island sustainability: computer vision based waste detection and analysis Nasir, Arnold; Syariati, Kasmir; Suardi, Citra; Sundoro, David; Lordianto, Reinaldo Lewis
Bulletin of Social Informatics Theory and Application Vol. 8 No. 2 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i2.665

Abstract

In our study, "Enhancing Lae-Lae Island Sustainability: Computer Vision-Based Waste Detection and Analysis," we investigate novel approaches to address plastic pollution challenges in coastal ecosystems, focusing on Lae-Lae Island. Through a multidisciplinary approach, we uncover valuable insights for effective waste management and environmental conservation. Spatial analysis identifies concentrated plastic pollution hotspots, offering actionable data for targeted cleanup strategies. Temporal trend analysis reveals waste accumulation patterns, facilitating adaptive waste management decisions. Furthermore, we examine the impact of environmental factors on waste density, aiding in proactive pollution mitigation. Central to our research is the evaluation of computer vision technology, which demonstrates high precision, recall, and an F1-score of approximately 87.8%. These results signify the technology's potential to revolutionize waste detection and monitoring, enabling efficient resource allocation, real-time surveillance, and rapid pollution response. In conclusion, our study provides a data-driven framework for sustainable plastic waste management on Lae-Lae Island, offering insights applicable to coastal regions worldwide. By embracing technology and innovation, we pave the way for cleaner, more resilient coastal ecosystems, underscoring the importance of proactive environmental stewardship.
Co-Authors Aji Prasetya Wibawa Alief Muhammad Alvin Yuga Pramana Anak Agung Istri Sri Wiadnyani Antonius Indra Dharma Prasetya Apryadi Dwi Putra Tangalayuk Arnold Nasir, Arnold Christina Chandra, Nova Christina Chandra, Novi Dani Hari Tunggal Prasetiyo David Sundoro Edgar Tanamal Fanilam Putri, Elma Franklin Jaya Hartawan Abdillah Hasanuddin, Tasrif Kasmir Syariati Linda Kurnia Lordianto, Reinaldo Lewis Maria Angelica Chandrawan Mas, Ahmad Baihaqi Muh. Aliyazid Mude Reinaldo Lewis Reinaldo Lewis Reinaldo Lewis Lordianto Sugiarto Cokrowibowo Tamam Asrori Tasrif Hasanuddin Tjandinegara, Tiffany Tony Antonio