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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pengajaran MIPA TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmu Komputer (JIK) Indonesian Journal of Disability Studies Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sosioteknologi Journal of Engineering and Technological Sciences ELINVO (Electronics, Informatics, and Vocational Education) Jurnal Penelitian dan Pembelajaran IPA Indonesian Journal of Science and Technology Pedagogia: Jurnal Pendidikan QUANTUM: Jurnal Inovasi Pendidikan Sains JOIV : International Journal on Informatics Visualization Al Ishlah Jurnal Pendidikan Knowledge Engineering and Data Science Jurnal Penelitian Pendidikan IPA (JPPIPA) Momentum: Physics Education Journal MUST: Journal of Mathematics Education, Science and Technology Journal of Natural Science and Integration JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL PENDIDIKAN TAMBUSAI Journal of Education Technology Jurnal Tekno Insentif Jurnal Sains Dirgantara Education and Human Development Journal Kappa Journal Jurnal Paedagogy Cendikia : Media Jurnal Ilmiah Pendidikan Journal Evaluation in Education (JEE) Brilliance: Research of Artificial Intelligence Jurnal Pengabdian Masyarakat untuk Negeri (UN-PENMAS) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Digital Transformation Technology (Digitech) Journal of Coaching and Sports Science Bulletin of Social Informatics Theory and Application Jurnal Guru Komputer Journal of Deep Learning, Computer Vision and Digital Image Processing Journal of Computers for Society Cadika Journal. IJIES (International Journal of Innovation in Enterprise System) Curricula: Journal of Curriculum Development THABIEA : JOURNAL OF NATURAL SCIENCE TEACHING
Lala Septem Riza
Universitas Pendidikan Indonesia, Bandung, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Journal : knowledge engineering and data science

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Comparison of Machine Learning Algorithms for Species Family Classification using DNA Barcode Riza, Lala Septem; Rahman, M Ammar Fadhlur; Prasetyo, Yudi; Zain, Muhammad Iqbal; Siregar, Herbert; Hidayat, Topik; Abu Samah, Khyrina Airin Fariza; Rosyda, Miftahurrahma
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

Classifying plant species within the Liliaceae and Amaryllidaceae families presents inherent challenges due to the complex genetic diversity and overlapping morphological traits among species. This study explores the difficulties in accurate classification by comparing 11 supervised learning algorithms applied to DNA barcode data, aiming to enhance the precision of species family classification in these taxonomically intricate plant families. The ribulose-1,5-bisphosphate carboxylase-oxygenase large sub-unit (rbcL) gene, selected as a DNA barcode locus for plants, is used to represent species within the Amaryllidaceae and Liliaceae families. The experimental results demonstrate that nearly all tested models achieve accurate species classification into the appropriate families, with an accuracy rate exceeding 97%, except for the Naïve Bayes model. Regarding computational time, the Random Forest model requires significantly more time for training than other models. Regarding memory usage, the Least Squares Support Vector Machine with a polynomial kernel, and Regularized Logistic Regression consume more memory than other models. These machine learning models exhibit strong concordance with NCBI's classifications when predicting families using the test dataset, effectively categorizing species into the Amaryllidaceae and Liliaceae families.
Co-Authors A Sobandi Abdullah, Cep Ubad Abu Samah, Khyrina Airin Fariza Achmad Samsudin Ade Gafar Abdullah, Ade Gafar Ade Rohayati Adedokun-Shittu, Nafisat Afolake Adi Rahmat Agus Setiawan Ahmad Firdaus Ahmad Fadzil Ahmad Zainal Abidin Al Husaeni, Dwi Fitria Al Husaeni, Dwi Novia Aldi Zainafif Alejandro Rosales Pérez Alejandro Rosales-Pérez Amay Suherman Amirah Misdan, Nur Farhanah Amni Munira Khidir Andre Rangga Gintara Ani Anisyah Ani Anisyah anne Hafina, anne Anthonio Akbar Aqhbar Habib Aria Sastra Wisesa Arianti, Andini Setya Asep Bayu Dani Nandiyanto Asep Wahyudin Asep Wahyudin AZ Pranata Budi Mulyanti Budiana, Dian Cep Ubad Abdullah Dadang Lukman Hakim Destian, Rangga Dewini Dewini Dwi Novia Al Husaeni E. Erlangga Edy Soewono Eka Fitrajaya Rahman Eki Nugraha Eliyawati Eliyawati Enjang Ali Nurdin Enjun Junaeti Erna Piantari Faisal Syaiful Anwar Farhan Dhiyaa Pratama Fathimah, Nusuki Syari'ati Fatimah, Nusuki Syariati Ferry Mukharradi Simatupang Fidela Zhafirah Fuadillah, Erry Gerraldi, Alief Gunarso Hasanah , Lilik Nur Hasrol Jono, Mohd Nor Hajar Hayati , Nurlaila Herbert Siregar Homdijah, Oom Siti Husni Firmansyah Ida Kaniawati Ilhamdaniah Ilhamdaniah Irsyad Fauzan Nurdin ISKANDAR, AYSHA ALIA Isma Widiaty Jaja Kustija Jajang Kusnendar Judhistira Aria Utama Kafilli, Muhammad Fikri Kennedy Barfi Yaw Agyeibi Kenny David Kenny David Khairul Nurmazianna Ismail Khyrina Airin Fariza Abu Samah Khyrina Airin Fariza Abu Samah Kuntjoro Adji Sidarto Liliasari Mahmoud Fahsi Masnur Ali Mediayani, Melani Mohamad Faiz Dzulkalnine Mohd Nor Hajar Hasrol Jono Mohd Nor Hajar Hasrol Jono Muhamad Nabil Fahruddin Muhammad Afif Auliya Muhammad Alam Basallamah Muhammad Aziz Muhammad Azka Atqiya Muhammad Hazmi Zuhdi Muhammad Irfan Firmansyah Muhammad Rafi Valliansyah Muhammad Ramdan Pamungkas Muhammad Syafri Syamsudin Mumu Komaro Munir Munir Munir Munir Munir, Munir Nabila, Ghina Firdha Nanang Dwi Ardi Naufal Oktavian Naufal Rabah Wahidin Nazir, Shah Nor Aiza Moketar Nor Intan Shafini Nasaruddin Novi Sofia Fitriasari Novitasari , Eka Fitri Novri Asri Nur Maisarah Nor Azharludin Nur Maisarah Nor Azharludin Nuraulia, Anti Nurhayati, Ai Siti Nurqueen Sayang Dinnie Wirakarnain Nusratullo, Samialloi Olyan, Warzuqni Parlindungan Sinaga Pérez, Alejandro Rosales Pertiwi, Anita Dyah Piantari, Erna Prabawa, Harsa Wara prasetyaningsih prasetyaningsih Prasetyaningsih, Prasetyaningsih Pratiwi Pratiwi Pudjo Sukarno Pudjo Sukarno Putri , Ananda Hafizhah Putri , Liandha Arieska Putri Amelia Solihah Putri, Iffa Ichwani Qobus, Muhammad Shofwan Rahman, M Ammar Fadhlur Raihah Aminuddin Rambari Apandi, Anjar Rani Megasari Raseeda Hamzah Raseeda Hamzah Rasim Rasim, Rasim Rena Zaen Rendi Adistya Rosdiyana Riandi Riandi Riezqa Andika Rika Rafikah Agustin Rizky Rachman Judie Rooseno Rahman Dewanto Rosa, Elisa Rosi Oktiani Rosniza Roslan Rosniza Roslan Rosyda, Miftahurrahma Sabila Fauziyya Safitri, Fibriyana Sahidin, M. Zaenal Iskandar Samah, Khyrina Airin Fariza Abu Sapiruddin Selvi Marcellia Shah Nazir Shah Nazir Shah Nazir Sigit Nugroho Siregar, Herbert Siregar, Nofi Marlina Solihat, Syifa Sugeng Rifqi Mubaroq Sulistiyono, Yakub Eriyanto Suratno Susilawati - Tarpin Juandi Taufik Nurrahman Permana Taufiq Hidayat Topik Hidayat Tutuka Ariadji Tyas Farrah Dhiba W. Wahyudin Wahyudin Wahyudin - Wahyudin Wahyudin Sanusi Rosada Wahyudin Wahyudin Wahyudin, W. Wawan Setiawan Wibisono, Yudi Wihardi, Yaya yogi prasetyo Yudi Prasetyo Zain, Muhammad Iqbal Zainab Othman Zsalzsa Puspa Alivia