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Journal : Formosa Journal of Science and Technology (FJST)

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Classification of Lung Diseases Using the Desicison Tree Method Apandi, Sopiyan; Nanang, Nanang; Rosyani, Perani; Nuraina, Nuraina; Awaliyah, Saiyah; Purnamawati, Santi Ayu; Oktaviani, Vera
Formosa Journal of Science and Technology Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v4i1.13442

Abstract

This research develops a machine learning-based classification method to detect lung cancer early, with the aim of increasing the life expectancy of patients. Lung cancer diagnosis generally requires manual interpretation of CT (Computed Tomography) images, which is prone to human error and time consuming. The proposed method is the Genetic K-Nearest Neighbor (GKNN) algorithm, which combines the advantages of genetic algorithms in parameter optimization with the K-Nearest Neighbor (KNN) approach for classification. The dataset used comes from Kaggle, includes 309 entries with 16 features, and has gone through pre-processing to minimize noise and improve data quality. The GKNN model was compared with other algorithms such as Support Vector Machine (SVM), Random Forest, Artificial Neural Network (ANN), and Decision Tree. Results show that Decision Tree achieves the highest accuracy of 98.39%, while GKNN offers a reliable solution with 90% accuracy and a low false positive rate. The results of this study are expected to be a reference in the development of artificial intelligence-based systems for medical applications, supporting faster and more accurate clinical decision-making.
Co-Authors A. Harbelubun, Y. Claudia Dhian Aflaah, Gina Ramadhantie Agung Wicaksono Ahdan, Alfin Muhamad Albi, Albi Amin Hidayat Anggreni, Made Ayu Ariansyah, Zul Asmara, Adi Awaliyah, Saiyah Azhari, Sonia Nada Nur Dety Mulyanti Dewi Tresnawati Endang Susilawati F Ramdan, Dadan Fajri, Mufti Al Fauzan, Wildan Ahmad Nur Febrianti, Risma Melati Fitri Nuraeni Fitriyani, Ranti Gilang Prayoga, Agung Gulo, Hasrat Setiawan Hafidli, Dedi Hafidzah, Afiyah Nur Hamdi, Wildan Hidayatul Hamzani, Umiaty Handayani, Nanda Harahap, Raja Sakti Putra Hariansyah, Oke Hazar, Aura Fitria Helisa Noviarty Hendri Tanjung Hidayat, Tedi Hidayati, Salmaa Ishma Hidayattuloh, Yusuf Hizkil, Muhamad Ibdalsyah Ibdalsyah Irawan, Muhammad Randy Iving Arisdiyoto Iwan Supardi Jaelani, Jaka Muhammad Jubaedah, Dede JUNIANTO JUNIANTO Kahfi, Mochammad Lely Panca Andriyanto Leni Fitriani, Leni Lulu, Lulu Mayasari, Nanny Meidy Fajar Wahyu Mira Febrina, Mira Mubarok, Dede Miftahul Muhammad Farhan Muhammad Ray Azhar Ramadhan Muhammad Syahdan Muttaqin, Epwan Nurul MY Alief Samboro N, Novita Fitri Nashier, Luthfi Abdurahman Niken Launingtia, I Gusti Ayu Nugraha, Muhammad Dimas Maulana Nur Sehang Thamrin Nurahman, Gia Nuraina, Nuraina Nurbayani, Yesi Nurhafsari, Asri Nurhisyam, Fahmi Nurisma, Arnel Oktaviani, Vera Otoviany, Siti Patriani, Ira Perani Rosyani Poerba, Arsyad Purnamawati, Santi Ayu Ramli, Akhmad Ratnawati Ratnawati Reza, Mohamad Rohmah, Yuni Syifau Rosdiana, Muhamad Rusdiawan, Mohamad Mihradi Rusman Rusman Saban, Veliana Putri Ayu Salsabil, Ilham santoso, Ekbal Sari Rusmita Sari, Nabila Yunita Sari, Vella Aprilia Sihombing, Dina Agnesia Sikki, Nurhaeni Sopiyan Apandi Suhaendi, Ocha Febriana Suhara, Ade Surur, Yoga Muhammad Suryadi, Nanda Suryaningrat, Suryaningrat Sutisna, Eva Noviani Suyanto, Ryan Syaeful Machfud Syilfia Hasti Tanu, Kristo Derbi Relison Thomas Hanandry Dewanto Wafa, Adhima Rasyadani Wiguna, Nafis Surya Yantiana, Nella Yolanda, Sevliana Prisca Yuda Permadi, Yuda Yuda Samudra Yusepaldo Pasharibu Yusuf, Alifa Witri Alfahira Zayyan, Alif