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Journal : 3BIO: Journal of Biological Science, Technology and Management

Using Machine Learning to Model Future Distributions of Babandotan Ageratum conyzoides L. Under Climate Change Scenarios (CMIP 5: RCP 2.6 and RCP 8.5) until 2070 in Bandung Areas Andriwibowo, Andriwibowo; Meylani, Vita
3BIO: Journal of Biological Science, Technology and Management Vol. 7 No. 2 (2025)
Publisher : School of Life Sciences and Technology, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/3bio.2025.7.2.3

Abstract

Ageratum conyzoides L., locally known as Babandotan, is an important plant in particular in West Java, including in Bandung, due to its medicinal uses. Currently, climate change is known to influence the distribution of organisms by altering climates and making habitats suitable or not suitable. Then, this present study is aiming to use machine learning to model future distributions of A. conyzoides under climate change scenarios CMIP 5 RCP 8.5 until 2070 in Bandung areas. The A. conyzoides occurrences were sampled from nine locations in Bandung and its surrounding areas. Machine learning using the R platform and MaxEnt algorithm was used to develop species distribution modeling (SDM). The model was then simulated using RCP 2.6 and 8.5 scenarios for the years 2050 and 2070. The quality of the model was assessed using AUC values. The current SDM model shows suitable habitats for A. conyzoides are sizing 1250 km2, mostly located in Bandung (56%), Kota Bandung (24%), and Sumedang (16%). The AUC value was 0.964, showing that the resulting model is good. Climate change will affect A. conyzoides in the future. Based on the RCP model, suitable habitats for A. conyzoides will be shifted northward, eliminating the suitable habitats in the south of Bandung, as can be seen in 2070.
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.
Co-Authors Adhitya Amarulloh Adhitya Amarulloh ADI BASUKRIADI Albaki, Alaik Z H Amarulloh, Adhitya Andri Wibowo Andriwibowo, Andriwibowo Ardiansyah, Ryan Baiq , Baiq Bella Widya Utami Busaeri, Nundang Chaidir, Diki M. Cindhy Marisa Deskhi Dedi Natawijaya Dewa Nyoman Wija Astawa, Dewa Nyoman Wija Diana Hernawati Diana Hernawati Diana Hernawati Diana Hernawati Diana Hernawati Diana Hernawati Diana Hernawati Diana Hernawati Diana Hernawati Diki Muhamad Chaidir Diki Muhamad Chaidir Dita Agustian Edi Hernawan Edi Hernawan Edi Hernawan Edi Hernawan Edi Hernawan, Edi Elsa Nurfauziah Elsa Nurfauziah Endang Surahman Endang Surahman Endang Surahman Enok Daniar Astriyana Erwin Nurdin Frista Mutiara Hamzah Abdul Fatah Harsojo Harsojo Hasanah, Nenti Rofiah Hernawan, Edi Hernawati, Diana I Ketut Surata I Made Sudiana Iis Siti Rahmawati Ilmi Octaviani Geopany Jihan Azhaar Ramadhanty Lia Tania Barka Lucky Radi Rinandiyana Merlinda Permatasari Mufti Ali Mulyanah, Sitiawati Muslim, Farhan Fuadi Mutiara, Frista Nasution, Nana Suryana Neng Ayu Mustika Safari Ni Nyoman Lisna Handayani Ningrum, Hanis Rachna Nurhidayah Nurhidayah Nurul Hiron, Nurul Ocky Karna Radjasa Purnama, Ahmad S Purwati K Suprapto Purwati K. Suprapto Purwati Kuswarini Purwati Kuswarini Suprapto Purwati Kuswarini Suprapto Purwati Kuswarini Suprapto Putra, Rinaldi Rizal Putri Sabilla Aulia Najiah Rasyidina, Sumayya Ainur Reza Fauzi Dwisandi Rinaldi Rizal Putra, Rinaldi Rizal RistiHilda Fadlika Ryan Ardiansyah Safari, Neng Ayu Mustika Selawati Hidayat Shiddiq, Zulfi Sam Suharsono Suharsono Suharsono Suharsono Suharsono Suharsono Widia Narasanti Agustin Witri Noor Ayu Andini Yulianto, Fajri Yustika Ayu Sekartaji