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All Journal Perfecting a Video Game with Game Metrics Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics EMITTER International Journal of Engineering Technology KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Bina Insani ICT Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control INOVTEK Polbeng - Seri Informatika Technomedia Journal Indonesian Journal of Computer Science El-Mujtama: Jurnal Pengabdian Masyarakat
iwan Syarif
Politeknik Elektronika Negeri Surabaya
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences

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Journal : KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal)

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DETECTION OF LUNG CANCER CELL BASED ON CYTOLOGICAL EXAMINATION USING CONVOLUTIONAL NEURAL NETWORK Rulisiana Widodo; Tessy Badriyah; Iwan Syarif
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 7, No 3 (2020)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v7i3.344

Abstract

Lung cancer is one of the most dangerous cases with the largest number of new cases in the world. The number of Lung Cancer in Indonesia is increasing rapidly every day until it is ranks 8th position in Southeast Asia, experiencing an increase in the last five years by 10.85 percent. This study aims to build a tool to detect lung cancer using the Deep Learning classification method with the Convolutional Neural Network (CNN) Algorithm. The tools that are made can be used for consideration in detecting from the results of cytological examinations, can be classified into normal (negative) and abnormal (positive) types of cancer. The experiment was carried out by performing hyperparameter optimization. The results show that the hyperparameter optimization has superior results compared to others, using the hyperparameter Gradient Boosted Regression Tree method. Experiments without hyperparameters give an accuracy value of 97%, while with the Gaussian Process it gives 98% accuracy and with a hyperparameter gradient boosted regression tree gives 99% accuracy, which is the best accuracy.Keywords : Lung Cancer, Cytological Examinations, Deep Learning, Convolutional Neural Network (CNN)terbanyak di dunia. Jumlah penderita Kanker Paru di Indonesia semakin hari semakin meningkat pesat hingga menduduki urutan ke-8 di Asia Tenggara, mengalami peningkatan dalam lima tahun terakhir sebanyak 10.85 persen. Penelitian ini bertujuan untuk membangun alat pendeteksi kanker paru menggunakan metode klasifikasi Deep Learning dengan Algoritma Convolutional Neural Network (CNN). Alat yang dibuat dapat digunakan sebagai pertimbangan dalam mendeteksi Kanker Paru dari hasil pemeriksaan sitologi, diklasifikasikan menjadi jenis normal (negatif) dan abnormal (positif) kanker. Percobaan dilakukan dengan melakukan optimasi hyperparameter. Hasil penelitian menunjukkan bahwa optimasi hyperparameter memiliki hasil yang lebih unggul yaitu dengan menggunakan metode hyperparameter Gradient Boosted Regression Tree. Percobaan tanpa hyperparameter memberikan nilai akurasi 97%, sedangkan dengan Gaussian Process memberikan akurasi 98% dan dengan hyperparameter Gradient Boosted Regression Tree memberikan akurasi terbaik yaitu 99%.Kata Kunci : Kanker Paru, Pemeriksaan Sitologi, Deep Learning, Convolutional Neural Network (CNN)
Co-Authors Adam Prugel-Bennett Agung Muliawan Agus Indra Gunawan Ahmad Syauqi Ahsan Aidil Saputra Kirsan Ali Ridho Barakbah Amalia Wirdatul Hidayah Andhik Ampuh Yunanto Arna Fariza Assodiky, Hilmy Ayu Ahadi Ningrum Bagas Dewangkara Binti Kholifah Daisy Rahmania Syarif Desy Intan Permatasari Deyana Kusuma Wardani Dian Neipa Purnamasari Dimas Bagus Santoso Dona Wahyudi Edi Satriyanto Entin Martiana Kusumaningtyas Fabyan Kindarya Fachrul Rozie Fahrudin, Tresna Maulana Ferry Astika S Ferry Astika Saputra Fitri Setyorini Gary Wills Grezio Arifiyan Primajaya Hasan Basri Hilmy Assodiky Hisyam, Masfu Idris Winarno Irsal Shabirin M Udin Harun Al Rasyid, M Udin Harun Masfu Hisyam Maulana, Yufri Isnaini Rochmat Mufid, Mohammad Robihul Muhammad Fajrul Falah Muhlis Tahir Mustika Kurnia Mayangsari Nadila Wirdatul Hidayah Nana Ramadijanti Nur Sakinah Nur Ulima Rusmayani Rabiatul Adawiyah Reesa Akbar Rengga Asmara Rengga Asmara Renovita Edelani Rosmaliati, Rosmaliati Rulisiana Widodo S, Ferry Astika Selvia Ferdiana Kusuma Stritusta Sukaridhoto Sumarsono, Irwan Tessy Badriyah, Tessy Tresna Maulana Fahrudin Umi Sa'adah Utomo, Agus Priyo Willy Sandhika Yufri Isnaini Rochmat Maulana