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Journal : Jurnal Informatika Universitas Pamulang

Pengolahan Citra Digital untuk Identifikasi Kanker Otak Menggunakan Metode Deep Belief Network (DBN) Muhammad Syaifulloh Fattah; Dina Zatusiva Haq; Dian Candra Rini Novitasari
Jurnal Informatika Universitas Pamulang Vol 6, No 4 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i4.13089

Abstract

The brain tumor is a dangerous disease for humans that can interfere with the functioning of the human brain. Brain tumors can develop into malignant brain tumors or brain cancer and cause death, so early detection is necessary to diagnose brain tumor disease. One way of early detection is to use the anatomy of an MRI scan of health images. The MRI scan results can diagnose patients, but it takes longer time. Therefore digital image processing is needed to facilitate an analysis so that it can be seen in the brain image there are tumor cells or not. In addition to digital image processing, a system that analyzes and detects data is also needed. The Deep Belief Network (DBN) method is used to identify data. This study conducted trials on the learning rate and network architecture. The results of the identification of brain cancer using the DBN method obtained a sensitivity (TP rate) value of 90.9%, a specificity (TN rate) of 100%, an accuracy of 95%, and a precision of 100% with a learning rate of 0.1 and using a 4-12-10-1 network architecture.
Co-Authors Abdulloh Hamid Abdulloh Hamid Adam Fahmi Khariri Adelia Damayanti Adyanti, Deasy Ahmad Hanif Asyhar Ahmad Hanif Asyhar Ahmad Hidayatullah Ahmad Lubab Ahmad Yusuf Ahmad Zoebad Foeady Ahmad Zoebad Foeady Alvin Nuralif Ramadanti Arifin, Ahmad Zaenal Aris Fanani Aris Fanani Chalawatul Ais Deasy Adyanti Dewi Sulistiyawati Dilla Dwi Kartika Dina Zatusiva Haq Dina Zatusiva Haq Diva Ayu Safitri Nur Maghfiroh Elen Riswana Safila Putri Evi Septya Putri Fahriza Novianti Fajar Setiawan Fajar Setiawan FAJAR SETIAWAN Fajar Setiawan Fajar Setiawan Faris Mushlihul Amin Ferryan, Dhandy Ahmad Firmansjah, Muhammad Foeady, Ahmad Zoebad Galuh Andriani Ganeshar B.D. Prasanda Gede Gangga Wisnawa Gita Purnamasari R Hani Khaulasari Hanimatim Mu'jizah Ifadah, Corii Ilmiatul Mardiyah Indra Ariyanto Wijaya Irkhana Indaka Zulfa Jauharotul Inayah Kusaeri Kusaeri Luluk Mahfiroh Lutfi Hakim Lutfi Hakim Luthfi Hakim M. Hasan Bisri Mayandah Farmita Moh. Hafiyusholeh Moh. Hafiyusholeh Moh. Hafiyusholeh Moh. Hafiyusholeh Mohammad Lail Kurniawan Mohammad Rizal Abidin Monika Refiana Nurfadila Muhammad Fahrur Rozi MUHAMMAD FAHRUR ROZI Muhammad Syaifulloh Fattah Muhammad Thohir Musfiroh Musfiroh Nanang Widodo Nanang Widodo Nanang Widodo Nisa Trianifa Noviati Maharani Sunariadi Noviati Maharani Sunariadi Nur Afifah Nur Hidayah Nurissaidah Ulinnuha Nurissaidah Ulinnuha Nurissaidah Ulinnuha Putri Wulandari Putroue Keumala Intan Putroue Keumala Intan Putroue Keumala Intan Putroue Keumala Intan Rafika Veriani Ratnasari, Cristanti Dwi Rifa Atul Hasanah RIFA ATUL HASANAH Rozi, Muhammad Fahrur Sari, Ghaluh Indah Permata Setiawan, Fajar Siti Nur Fadilah Siti Nur Fadilah Siti Ria Riqmawatin Suwanto Suwanto Suwanto Suwanto Tasya Auliya Ulul Azmi Thohir, Muhammad Ulinnuha, Nurissaidah Umi Masruroh Kusman Unix Izyah Arfianti USWATUN KHASANAH Utami, Tri Mar'ati Nur Veriani, Rafika Vina Fitriyana Wanda N.P. Sunaryo Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Dianita Utami Yasirah Rezqita Aisyah Yasmin Yuni Hariningsih Yuniar Farida Yuniar Farida, Yuniar Yuyun Monita Yuyun Monita Zulfa, Elok Indana