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All Journal Jurnal Mahasiswa TEUB Jurnal EECCIS REKAYASA Journal of Information Technology and Computer Science (JOINTECS) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Wave: Jurnal Ilmiah Teknologi Maritim
Ponco Siwindarto
Jurusan Teknik Elektro Fakultas Teknik Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics

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Journal : REKAYASA

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Kinerja Pendekatan Convolutional Neural Network dan Dense Network dalam Klasifikasi Citra Malaria Dafid, Achmad; Siwindarto, Ponco; Siswojo, Bambang
Rekayasa Vol 14, No 2: Agustus 2021
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v14i2.10735

Abstract

Indonesia is an archipelago, which three of its five main island consists mainly, or dense tropical rainforest. This rainforest is main breeding ground for malaria disease that mostly affect regions near said forest. In an effort to treat malaria disease, a diagnostic process is performed to correctly identify the disease. Several image pattern recognition technique been developed and have potential to be utilized as malaria diagnostic tool. In this research, a method is described on designing neural network to detect a blood cell parasitized by malaria. The method consists of utilizing a dense network, and a convolutional neural network, to be trained using publicly available training dataset. Both models’ performance is then compared and analyzed. Before the data is used, a process of padding is performed to resize the input image into 200 x 200 pixels. The resized input data is then used to train both models. From the training and testing, it is found that the dense network achiever 64.78% accuracy. On the other hand, model based on convolutional neural network achiever 94.32%. From analysis, it is found that the size of the model being used is not big enough to achieve better performance. Hence, it is suggested for future research to increase the model size in terms of network width and depth. 
Co-Authors Abbyunda Yudha Pratama Abdul Harits Muzakki A. Adharul Muttaqin Agung Handoko Agus Satrio Agwin Fahmi Fahanani Ahmad M. Fariz P. Ahmad Nurdin Islam Ahmad Sirojuddin Aidil Fikri Islamy Akroma Ardi Aldian Ferdiansyah Mahendra Alvi Kusuma Wijaya Ana Bella Dianisma Anas Setiawan Anggriawan, Aldo Redicka Arfian Nurfi Pangestu Arief Prakoso Arnas Elmiawan Akbar Ashar Seppiawan N Awalludin, Nur Azzam Rasyiq El-Faraby Bagas Priyo Hadi Wibowo Bambang Siswojo Bambang Siswojo Bayu Satya Nugraha Tri S. Bill Jason Bono Badar Nugraha Brian Reza Kawalta Tarigan S. Dafid, Ach Dian Widyaningtyas Dwi Aryo Porbadi Dwi Utari Surya Eko Saifulloh Noor Enggar Kabisafira Prawimuliasta Eritha, Fadila Norasarin Erni Yudaningtyas Eryc Tri Juni S. Fadhlurrahman, Adam Farrel Fadila Norasarin Eritha Faizah, Lina Nur Fauzzi Izzul Haq Ferdy Darmawan Saputra Fifo Sidherial Firmansyah Adhitya G. B. Fredy Christiawan Gloria Lisa H. Hari Wahyudiono Hendry Rama Sethiawan Ibrahim Hasan Ichsan Harun Wicaksono Ihsan Ahmad Badrianto Ika Kustanti Ikhwan Fajri Asri Indyanto Gadang Alfaruki Jayadhi Wenardo Rusli Juli Arianes Lalu Arya Taruna Jaya Lovinardo Devharo M. Aswin M. Aswin M. Aswin M. Julius St. M. Rasjad Indra M. Rasyad Indra Made Putera Wiguna Maulana, Eka Mochamad Umar Mochammad Al Faridzi Mochammad Mufti Nurmukhlis Moh Uhida Subhan Muchammad Rizal Pahlevi Mudeng, V Vicky Vendy H. Mudjirahardjo, Panca Muhammad Azril Muttaqin Muhammad Fatahilla Muhammad Fauzan Edy Purnomo Muhammad Furqan Rabbani Arfha Muhammad Haekal Muhammad Ilmi Musyaffa' Muhammad Julius St. Muhammad Keanoudjie Muhammad Kholifa Bihaque Muhammad Luthfi Ardyansyah Muhammad Setyo Hadi Juwono Muhammad Yogi Nurrohman n/a Fatahillah n/a Muhiroh n/a Nurussa’adah n/a Nurussa’adah n/a Wijono Nanang Sulistiyanto Nizar Sodiq Notario Pramudita Nurus Sa'adah Nurussa'adah, n/a Nurussa’adah, n/a Onny Setyawati Prasetya, Muchamad Alec Raden Arief Setyawan Rahmadwati, n/a Rahmat Ananta Rif'an, Mochammad Rini Nur Hasanah Rivan Rerizki Putera Rizki Firmansyah Rusli, Rayven Hanjaya Rusmi Ambarwati Setiawan, Bagus Ilyas Siswojo, Bambang Soraya Norma Mustika Stefanus Christian Tika Puri Ardianti Tunggul Widyamurti Utomo, Arie Cahyo Vita Nurdinawati Vrisco Yonatan Wahyu Suwito Waru Djuriatno Yerico Nathane Damanik Yuda Irawan Zainul Abidin Zainul Abidin Zainuri, Akhmad Zuhal Azmiy Dwi Rachman