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All Journal Jurnal Ilmu Komputer dan Informasi IPTEK The Journal for Technology and Science Techno.Com: Jurnal Teknologi Informasi Bulletin of Electrical Engineering and Informatics Register: Jurnal Ilmiah Teknologi Sistem Informasi JOIV : International Journal on Informatics Visualization ILKOM Jurnal Ilmiah Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat Jurnal Penelitian Enjiniring Fakultas Teknik Unhas Jurnal Teknologi Elekterika Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Indonesian Journal of Electrical Engineering and Computer Science Jurnal Minfo Polgan (JMP) Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Jurnal Pengabdian Mandiri Malcom: Indonesian Journal of Machine Learning and Computer Science Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Ingrid Nurtanio
Universitas Hasanuddin
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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Multi Classification of Bacterial Microscopic Images Using Inception V3 Nurtanio, Ingrid; Bustamin, Anugrayani; Yohannes, Christoforus; Handoyo, Alif Tri
ILKOM Jurnal Ilmiah Vol 14, No 1 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i1.1121.80-90

Abstract

Microorganisms such as bacteria are the main cause of various infectious diseases such as cholera, botulism, gonorrhea, Lyme disease, sore throat, tuberculosis and so on. Therefore, identification and classification of bacteria is very important in the world of medicine to help experts diagnose diseases suffered by patients. However, manual identification and classification of bacteria takes a long time and a professional individual. With the help of artificial intelligence, we can effectively and efficiently classify bacteria and save a lot of time and human labor. In this study, a system was created to classify bacteria from microscopic image samples. This system uses deep learning with the transfer learning method. Inception V3 architecture was modified and retained using 108 image samples labeled with five types of bacteria, namely Acinetobacter baumanii, Escherichia coli, Neisseria gonorrhoeae, Propionibacterium acnes and Veionella. The data is then divided into training and validation using the k-fold cross validation method. Furthermore, the features that have been extracted by the model are trained with the configuration of minibatchsize 5, maxepoch 5, initiallearnrate 0.0001, and validation frequency 3. The model is then tested with data validation by conducting ten experiments and getting an average accuracy value of 94.42%.
Co-Authors A. Ais Prayogi Alimuddin A. Marimar Muchtamar A.Ais Prayogi Abdul Jalil Abidin, Muhammad Indra Adnan Adnan Adnan Adnan Adnan Adnan Ady W Paundu Ady Wahyudi Ady Wahyudi Paundu Ady Wahyudi Paundu Ahmad Rifaldi Ais P Alimuddin Ais Prayogi Alimuddin Alimuddin, A.Ais Prayogi Amil A Ilham Amil A Ilham Amil A. Ilham Amil Ahmad Ilham Amil Ahmad Ilham Amirullah, Indrabayu Andani Achmad Andi Syam Aswandi Ansar Suyuti Anugrayani Bustamin Anugrayani Bustamin Anugrayani Bustamin Anugrayani Bustamin Areni, Intan Sari Astri Oktianawaty Aulia Darnilasari Bustamin, Anugrahyani Bustamin, Anugrayani Chandra Wisnu Nugroho Christoforus Yohanes Dewi Kusumawati, Dewi Elly Warni Elly Warni elly warni Febriansyah, Muhammad Firmansyah J Kusuma Fransisca J Pontoh Handoyo, Alif Tri Hazriani, Hazriani I Ketut Eddy Purnama Ida Ayu Putu Sri Widnyani Ida R Sahali Imran Taufiq Indra Bayu Indrabayu - Indrabayu . Indrabayu Indrabayu Indrabayu Indrabayu Intan Sari Areni Intan Sari Areni Intan Sari Areni Iqra Aswad Iqra Aswad Jayanti Yusmah Sari Leonard Maramis Leonard, Calvin Rinaldy Lika Purwanti M Alief F Imran Mahdaniar, Mahdaniar Marindah, Tyanita Puti Mauridhi Hery Purnomo Mochamad Hariadi Mohamad Ilyas Abas Mokobombang, Novy Nur R A Mokobombang, Novy Nur R.A Muh. Alief Fahdal Imran Oemar Muh. Syahlan Natsir Muhammad Niswar Muhammad Nizwar Mukarramah Yusuf Mukarramah Yusuf Musakkir Musakkir Musyfirah, Kamtina Naufal Khalil Novy NRA Mokobombang Nur Hikmah Nurdin, Arliyanti Nurdin, Winati Mutmainnah Nurhikmayana Janna Palantei, Elyas Paundu, Ady Wahyudi Phie Chyan Rahmat Hardian Putra Rieka Zalzabillah Putri RIFALDI, AHMAD Riny Yustica Dewi Rizka Irianty Siska Anraeni Syafruddin Syarif Syafruddin Syarif Usman Umar Yohannes, Christoforus Yohannes, Chystoporus Yusuf, Mukarramah Zaenab Muslimin Zaenab Muslimin Zahir Zainuddin Zahir Zainuddin Zulkifli Tahir