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p-Index From 2019 - 2024
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All Journal Journal of Community Based Environmental Engineering and Management
Irfan Tawakkal
Universitas Hasanuddin
Engineering Environmental Science Public Health Other

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Study of Beach Litter on Remote Island, Case Study: Ainoshima Island, Japan Nani Anggraini; Irfan Tawakkal; Muhammad Ma‘arij Harfadli; Sattar Yunus; Indriyani Rachman; Toru Matsumoto
Journal of Community Based Environmental Engineering and Management Vol. 7 No. 2 (2023): Vol. 7 No.2, September 2023
Publisher : Department of Environmental Engineering - Universitas Pasundan - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jcbeem.v7i2.10102

Abstract

Ainoshima Island is a Remote Island located north of Kyushu Island which is also known as a popular tourist attraction named Cat Island. The island is inhabited by a small population but is frequented by tourists to enjoy nature and fishing. The coastline is in the form of cliffs and sandy beaches, but there is a lot of marine debris on the sandy beaches. In addition, its location allows waste from the surrounding area to be carried by currents to this island. This research examines the diversity of categories and types of macroplastic litter trapped on the sandy beach of Ainoshima Island. Survey transects were conducted in the spring of 2023 via visual observation based on a survey method developed by NOAA, in 2012. The survey results were then categorized based on a photo guide database from the OSPAR Maritime Area for Active Monitoring of Marine Debris on the Beach. Data on the types of waste found are divided into artificial polymer materials (plastic), rubber, cloth, paper/cardboard, processed/finished wood, metal, glass, and ceramics. As a result, the plastic category is the dominant category of the total type of waste trapped in sandy beach areas.
Visual Observation to Detect Macroplastic Object in River: A Review of Current Knowledge Nani Anggraini; Irfan Tawakkal; Djusdil Akrim; Indriyani Rachman; Toru Matsumoto
Journal of Community Based Environmental Engineering and Management Vol. 8 No. 1 (2024): March 2024
Publisher : Department of Environmental Engineering - Universitas Pasundan - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jcbeem.v8i1.12254

Abstract

Currently, the world is facing the problem of plastic pollution in water bodies. Plastic waste has become an abundant pollutant in the marine, coastal and river environments, making it a major threat to aquatic life. Visual Observation in plastic monitoring is a popular method used to measure quantity, composition, and distribution, identify emerging trends, and design preventive measures or mitigation strategies. This study attempts to review recent studies regarding visual observation for detecting macroplastic objects in terms of current research trends and methodologies and suggests promising future research directions. This study used a systematic method with a bibliometric approach and qualitative content analysis to identify and review 108 articles on detecting litter objects in the water. The study results show that automatic object detection is starting to become a trend in visual Observation by relying on artificial intelligence (AI) with UAV devices and cameras that are processed using Machine Learning and Deep Learning methods which provide promising accuracy results.
Co-Authors Djusdil Akrim Indriyani Rachman Indriyani Rachman Muhammad Ma‘arij Harfadli Nani Anggraini Sattar Yunus Toru Matsumoto