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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 Biodjati 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

Habitat and Distribution Modeling of Prehistoric Hippos (Hippopotamus sivalensis spp.) During Pleistocene in Java Island Andriwibowo, Andriwibowo; Basukriadi, Adi; Nurdin, Erwin
Jurnal Biodjati Vol 6 No 1 (2021): May
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/biodjati.v6i1.10250

Abstract

Currently, there are only 2 extant species of hippos including common (Hippopotamus amphibius) and pygmy hippos (Choeropsis liberiensis) . But in prehistoric times, there were several species. During  Pleistocene these species were known to migrate to Java Island from Asian Continent and the species was Hippopotamus sivalensis spp. In this regard, this study aimed to model the habitat of H. sivalensis spp., ecology, and biodiversity of Hippopotamus sivalensis spp. based on the fossil record. The model was developed based on the Principal Component Analysis (PCA) method using the R statistical package. The results showed that there were 7 populations of H. sivalensis spp. that lived at various altitudes with an average of 177 m above sea level (95% CI : 123-232 m). According to PCA, there were at least 2 separate populations of H. sivalensis spp. One population occupies the forest while another occupies a habitat close to the coast. Currently the habitat for H. sivalensis spp. already changed. Based on habitat modeling, H. sivalensis spp. inhabit streams with submerged aquatic plants and shrubs and trees growing along river banks.
Habitat Preference Modeling of Prehistoric Giant Shark Megalodon During Miocene in Bentang Formation of West Java Coast Andriwibowo, Andriwibowo; Basukriadi, Adi; Nurdin, Erwin; Mubarok, Muh Aydava
Jurnal Biodjati Vol 6 No 2 (2021): November
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/biodjati.v6i2.14115

Abstract

In the Miocene era about 20 million years ago, the South Coast of West Java was a sea and habitat for marine organisms including giant sharks Megalodon measuring about 18 meters long. This study aimed to model the habitat preference of the prehistoric gigantic shark Otodus megalodon population based on the fossil record. From fossil teeth, it revealed that the rock layer where the teeth found was Bentang formation from Miocene era. Many fossils of Megalodon had been unearthed from Bentang formation which is part of the South Coast of West Java. The habitat model was developed using the Sea Level Rise Inundation Tool of ArcGIS to estimate the sea depth and Megalodon’s habitat during the Miocene. The length of the teeth of O. megalodon found was ranged from 13 to 19 cm, indicating the presence of juvenile and adult O. megalodon. Based on the model, in the Miocene era, half of West Java was a sea with a depth ranging from 0 to 200 meters. At that time, it was estimated that juvenile O. megalodon occupied waters with a depth of 0-40 meters with an area of 1365 km2. Meanwhile, adult O. megalodon prefers a depth of 80-160 m and the frequency of habitat use increases at a depth of 200 m. The declining population of O. megalodon is associated with climate change and declining prey populations.
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 Mubarok, Muh Aydava 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