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All Journal Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati Biotropika Planta Tropika Bioeksperimen: Jurnal Penelitian Biologi Forum Geografi REINWARDTIA TREUBIA ZOO INDONESIA Jurnal Entomologi Indonesia 3BIO: Journal of Biological Science, Technology and Management Makara Journal of Science
ADI BASUKRIADI
Departemen Biologi, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Education Immunology & microbiology Neuroscience Other

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Artificial Neural Networks (ANN) to Model Microplastic Contents in Commercial Fish Species at Jakarta Bay Andriwibowo, Andriwibowo; Basukriadi, Adi; Nurdin, Erwin; Meylani, Vita; Hasanah, Nenti Rofiah; Shiddiq, Zulfi Sam; Mulyanah, Sitiawati
3BIO: Journal of Biological Science, Technology and Management Vol. 6 No. 1 (2024)
Publisher : School of Life Sciences and Technology, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/3bio.2024.6.1.3

Abstract

Jakarta Bay is known as one of the marine ecosystems that have been contaminated by microplastics. Despite massive loads of microplasticcontamination, Jakarta Bay is also habitat to potential commercial fish species, including anchovy Stolephorus commersonnii and mackerel Rastrelliger kanagurta. While information on the microplastic contents and their determining factors is still limited, the goal of this study was touse artificial neural networks (ANN) as a novel and useful tool to model the determinants of microplastic content in fish in Jakarta Bay, using fish weight and length as proxies. Inside the stomachs of S. commersonnii and R. kanagurta, the order of microplastics from the highest to thelowest was fiber > film > fragment > pellet. Based on the RMSE values of 3.199 for S. commersonnii and 2.738 for R. kanagurta, the ANNmodel of fish’s weight + length ~ pellet was found to be the best fitted model to explain the correlation of fish weight and length with microplastic content in the stomach. The results indicate that ANN is suitable for solving large, complex problems in determining and projecting microplastic contents and provides better estimates that can be used to manage R. kanagurta and S. commersonnii along with microplastic contamination threats.
Spatial Biodiversity of Birds in Land Covers of Wetlands on Jakarta’s North Coast Andriwibowo; Basukriadi, Adi; Nurdin, Erwin
Biota : Jurnal Ilmiah Ilmu-Ilmu Hayati Vol 8, No 1 (2023): February 2023
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/biota.v8i1.5813

Abstract

Wetlands are suitable habitats for the coastal bird community. One of the important wetlands is located on Jakarta’s North Coast. Here, this study aims to assess the spatial biodiversity of birds in various land covers of wetlands on Jakarta’s North Coast. In total, there were 23 species belonging to 12 bird families. Ardeidae, Rallidae, and Silviidae bird families have more species compared to other families. The biodiversity H' values in the wetlands dominated by mangrove cover were the highest, at 2.527, followed by the wetlands having less mangrove cover and more water bodies and fish ponds only having H’ values equal to 1.811. The arboreal, small-to-medium-sized birds belong to Nectariniidae, Ploceidae, Silviidae, and Dicaeidae were widely distributed across all land cover. In contrast, the wetlands characterized by mangrove cover dominance combined with muddy substrate coasts were dominated by mid-large water birds belong to Anatidae, Scolopacidae, Ciconiidae, Rallidae, Ardeidae, Phalacrocoracidae, Anhingidae, and Alcedinidae. It is recommended to protect the mangroves and reforest the wetlands with mangroves to provide more habitats for the coastal bird community. 
Fire Hotspot and Particulate Matter (Pm2.5) Distribution Patterns In Tropical Rainforest Ecosystems Of Batanghari River Basin In July 2021 Wibowo, Andrio A; Basukriadi, Adi; Nurdin, Erwin
Biotropika: Journal of Tropical Biology Vol. 10 No. 1 (2022)
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.biotropika.2022.010.01.05

Abstract

Rainforest in the Batanghari River basin is one of the tropical ecosystems that currently is threatened by deforestation, slash and burn swidden farming that lead to the increased numbers of fire hotspots. The fire hotspots are high in midyear during the dry season when a swidden farming activity starts. Then this study aims to assess the distribution of fire hotspots and its impact in the form of PM2.5 contents. The study was conducted in the rainforest of the Batanghari River basin in midyear in July 2021. The methods to classify the rainforest covers and to detect fire hotspots and PM2.5 contents were based on remote sensing and GIS analysis using Landsat 8 OLI, VIIRS, and MODIS remote sensing imageries. The result showed increasing trends of daily fire hotspot numbers in the rainforest of the Batanghari River basin for one month in July 2021. There were significant differences in the daily average of fire hotspots based on the week (P = 0.006, F = 8.677). The daily average of hotspots in the first week of July 2021 was 1.333 hotspots (95%CI: 0-3.94 hotspots). Whereas in the third and fourth weeks, there were sharp increases in the daily average of hotspots. In the third week, the average of hotspots was 4.333 hotspots (95%CI: 0-9.04 hotspots) and increased almost threefold in the fourth week with 11.000 hotspots (95%CI: 7.61-14.4 hotspots). In the areas where the fire hotspots have occurred, the PM2.5 contents ranged from 30 to 80 μg/m3.
Tree Community Composition and Structure of Cacao (Theobroma cacao L.) Based Agroforestry in West Sumatera, Indonesia Santhyami, Santhyami; Basukriadi, Adi; Abdulhadi, Rochadi
Bioeksperimen: Jurnal Penelitian Biologi Vol 6, No 1: March 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/bioeksperimen.v6i1.10433

Abstract

Co-Authors Andri Wibowo Andriwibowo Andriwibowo, Andriwibowo Deby Arifiani, Deby Dodin Koswanudin Erwin Nurdin Hasanah, Nenti Rofiah I Made Samudra Ischak, Tubagus M. MOHAMMAD AMIR, MOHAMMAD Mufti Petala Patria Mulyanah, Sitiawati Nasution, Nana Suryana Primanda, Andya Rochadi Abdulhadi Rosichon Ubaidillah Santhyami Santhyami Shiddiq, Zulfi Sam Soesilo, Tri Edi Budi Supriatin, Lilik Slamet TATIK CHIKMAWATI Thayeb, M. Hasroel Vita Meylani Wibowo, Andrio A