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Saroyo Saroyo
Jurusan Biologi FMIPA Universitas Sam Ratulangi
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Journal : Journal of Applied Data Sciences

 1 
Comparison of MobileNet and VGG16 CNN Architectures for Web-based Starfish Species Identification System Latumakulita, Luther Alexander; Paat, Frangky J.; Saroyo, Saroyo; Karim, Irwan; Astawa, I Nyoman Gede Arya; Sirait, Hasanuddin
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.456

Abstract

Bunaken Marine Park (BMP) is famous for its rich marine biodiversity. BMP is an asset for the marine tourism industry of the Manado city government, and the North Sulawesi Province of Indonesia needs to be strengthened. This research aims to build a web-based intelligent system using a convolutional neural network (CNN) to identify starfish species to initiate developing a media center marine biota identification system of BMP. Two CNN architectures, namely MobileNet and VGG16, were conducted to produce identification models. The first stage carried out a training process on 1800 starfish image data and then evaluated using the 5-fold cross-validation technique. Validation results show that MobileNet is superior to the VGG16 architecture by achieving validation accuracy of 100% for each fold while VGG16 produces validation accuracy in the range of 94% to 100%. On the other hand, in the second stage of model testing, it was found that VGG16 worked better than MobileNet in identifying 200 new data. The Best Model produced by VGG16 achieved testing accuracy of 100% while MobileNet produced 99.5%. However, stability analysis of the identification models produced by both architectures shows that MobileNet has relatively small loss values ranging from 0.00069325 to 0.00214802 as well as smaller standard deviation values of 0.27 compared to 0.61 produced by VGG16. These findings indicate MobileNet is more stable in carrying out identification work compared to VGG16 of, thus the best model provided by MobileNet is taken to deploy in the web platform which is created using the Python flask framework. The proposed system can be used to strengthen the marine tourism industry as a media center of educational marine biota using deep learning approaches.
Co-Authors Adelfia Papu Adelfia Papu Adelfia Papu Adelfia Papu Ahmadin Awal Lumente, Ahmadin Awal Ahril Hidayat Akbar Arafah Embo, Akbar Arafah Alotia, Jayens Alule, Melisa BEIVY JONATHAN KOLONDAM Bryan M. Kuheba Deidy Katili Deidy Katili Deidy Y Katili Deidy Y Katili Deidy Y. Katili Deidy Y. Katili Edwin de Queljoe Eka Yuningsih Eko Handoyo Fabiola B. Saroinsong Farha N.J Dapas Febby E.F Kandou Fernandez T. Upa Frangky J. Paat Glorio D. Pinaria Greis M. Sendow Hanny Pontororing Hengki D. Walangitan Herni E.I Simbala I Nyoman Gede Arya Astawa Indra Polii, Indra Indriati Sumarni Islamul Hadi Jauhar Arifin Jessy D.L. Warongan Johny P. Lengkong Karim, Irwan Karmini Karmini Karyati Karyati Kiswanul Arifin Kunio Watanabe Lalu Wahyudi Langi, M A Lisa Wati Luther Latumakulita Maabuat, Pience Maria Y.M.A. Sumakud Marnix L. D. Nangoy Marnix L. D. Nangoy Marnix L.D Langoy Marnix L.D. Langoy Marnix Langoy Martina A. Langi Max R.J. Runtuwene Muhammad Danton Noor Muhammad Hendriyani Mylton Mantouw Mylton Mantouw, Mylton Olly E.H. Laoh Orpa Smarce Fransina Manori Parluhutan Siahaan Parluhutan Siahaan Parluhutan Siahaan Parluhutan Siahaan Pience V Maabuat Puasa, Marton Putri Sianipar Putri Tesalonika Rondonuwu Rahma Wati Rahmi Baihaki Rio Priyanto Saibi Rivo F. Rahasia Roni Koneri Rooije R.H. Rumende Rooije R.H. Rumende Rudy C Tarumingkeng Rumanasari, Ratih Dwi Rumanasen, Baren Rustamiya Rizki Adiati Sahdin Sapsuha Saibi, Rio P. Saibi, Rio Priyanto Saimima, Arie J. Sandy, Jhon I. Sandy, Jhon Ismail Sary D.E. Paturusi Sendy Rondonuwu, Sendy Seni Tongkukut Septiyana Lestari Shinta Avriyanti Sirait, Hasanuddin Siska Anggreani Siti Hatiah Sri Supraptini Mansjoer Stanly O.B. Lombogia Sumual, Mercy M. Sunarmi Sunarmi Susan Marlein Mambu Syamsul Bachry Tangapo, Agustina Monalisa TARUNI SRI PRAWAST MIEN KAOMINI ANY ARYANI DEDY DURYADI SOLIHIN Taufik Rahman Tenda, Edwin Upa, Fernandez T. Wilmy Pelle