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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Transmisi: Jurnal Ilmiah Teknik Elektro Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Proceeding SENDI_U Jurnal Informatika Upgris JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control ILKOM Jurnal Ilmiah MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Building of Informatics, Technology and Science Infotekmesin Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Intech : Information Technology Journal of UMUS Jurnal Teknik Informatika (JUTIF) JAMU : Jurnal Abdi Masyarakat UMUS Moneter : Jurnal Keuangan dan Perbankan
Megantara, Rama Aria
Dian Nuswantoro University
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Journal : JOIV : International Journal on Informatics Visualization

 1 
Adaptive Inertia Weight Particle Swarm Optimization for Augmentation Selection in Coral Reef Classification with Convolutional Neural Networks Prabowo, Dwi Puji; Rohman, Muhammad Syaifur; Megantara, Rama Aria; Pergiwati, Dewi; Saraswati, Galuh Wilujeng; Pramunendar, Ricardus Anggi; Shidik, Guruh Fajar; Andono, Pulung Nurtantio
JOIV : International Journal on Informatics Visualization Vol 9, No 1 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.1.2726

Abstract

Indonesia possesses the world's largest aquatic resources, with 17,504 islands and 6.49 million square kilometers of sea. Located in the coral triangle, Indonesia is home to diverse marine life, including vital coral reefs. However, these reefs face threats from climate change, pollution, and human activities, endangering biodiversity and coastal communities. Therefore, monitoring and preservation are crucial. This study evaluates various augmentation methods for classifying underwater coral reef images using Convolutional Neural Networks (CNNs). Effective augmentation methods are essential due to the unique characteristics of these images. The methodology includes testing different augmentation methods, epoch parameters, and CNN parameters on a coral reef image dataset. Five optimization algorithms (AIWPSO, GA, GWO, PSO, and FOX) are compared. The highest accuracy, 95.64%, is achieved at the 10th epoch. AIWPSO and GA show the highest average accuracies, 93.44%, and 93.50%, respectively, with no significant performance differences among the algorithms. Statistical analysis using the Wilcoxon test indicates a significant difference between training and validation accuracy (p-value = 0.0020). These findings underscore the importance of selecting augmentation methods that align with the characteristics of each optimization algorithm to enhance classification performance. The results provide valuable insights into improving the quality and diversity of input data for classification algorithms in underwater image analysis. They highlight the necessity of matching augmentation methods to specific optimization algorithms to boost accuracy and effectiveness significantly. Future research should explore additional augmentation methods and optimization algorithms further to enhance the robustness and accuracy of underwater image classification.
Co-Authors Abu Salam Adrian, Aurell Zulfa Angger Ahmad Akrom Ahmad Khotibul Umam, Ahmad Khotibul Akrom, Ahmad Al zami, Farrikh Al-Azies, Harun Alzami, Farrikh Anggi Pramunendar, Ricardus Ashari, Ayu Asih Rohmani, Asih Brilianto, Rivaldo Mersis Budi, Setyo Chaerul Umam Dewi Agustini Santoso Diana Aqmala Dibyo Adi Wibowo Dwi Puji Prabowo Dwi Puji Prabowo, Dwi Puji Erika Devi Udayanti Fahmi Amiq Fauzi Adi Rafrastara Fikri Diva Sambasri Firman Wahyudi, Firman Go, Agnestia Agustine Djoenaidi Guruh Fajar Shidik Hadi, Heru Pramono Harun Al Azies Heni Indrayani Herfiani, Kheisya Talitha Ifan Rizqa Ika Novita Dewi Irwan, Rhedy ISWAHYUDI ISWAHYUDI Khoirunnisa, Emila Kurniawan Aji Saputra Kurniawan, Defri Kusumawati, Yupie L. Budi Handoko Lalang Erawan Lesmarna, Salsabila Putri Mahendra, Syafrie Naufal Maulana, Isa Iant Moch. Sjamsul Hidajat Moh Yusuf, Moh Moh. Yusuf Mohammad Arif Muhammad Naufal Muslih Muslih Nabila, Mira Nazella, Desvita Dian Nurhindarto, Aris Ocky Saputra, Filmada Pergiwati, Dewi Puji Prabowo, Dwi Pulung Nurtantio Andono Puri Sulistiyawati Puri Sulistiyawati Ramadhan Rakhmat Sani Ratmana, Danny Oka Ricardus Anggi Pramunendar Rifqi Mulya Kiswanto Rini Anggraeni Ritzkal, Ritzkal Rofiani, Rofiani Rohman, Muhammad Syaifur Sambasri, Fikri Diva Saputra, Filmada Ocky Saputra, Resha Mahardhika Saputri, Pungky Nabella Saraswati, Galuh Wilujeng Sasono Wibowo Sinaga, Daurat Soeleman, M Arief Sri Winarno Suharnawi Suharnawi Widyatmoko Karis Yuventius Tyas Catur Pramudi Zahro, Azzula Cerliana