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Journal : Formosa Journal of Science and Technology (FJST)

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 Agustin, Meri Aklimawati Aklimawati, Aklimawati Al Fadhilah, Shafira Almakarim, Muhammad Fauzan Alvina, Sirry Andari, Lala Anil Husna, Jaza Asyari, Annisa Awaliyah, Saiyah Ayu Purnamawati, Santi Dalimunthe, Raudah Zaimah Dalimunthe Dewi Dewantara, Dewi Dewi Maritalia Djajaningrat, Panglima Elvi, Fitria Emma Susanti Eri Saputra Ernida, Yulia Evi Damayanti, Evi Fahriza, Mela Fajriana, Fajriana Fakhrah Fakhrah, Fakhrah Faradhillah, Faradhillah Febrianti, Fadila Fitri Ayu Ningtiyas, Fitri Ayu Haryono, Wasis Haves Qausar Hayati, Rahmi Hayatun Nufus Herizal Herizal Hidayatsyah Hidayatsyah Hidayatsyah, Hidayatsyah Ikawati, Any Ilyani, Anis Imanda, Riska Iqbal, Khoirul Iqbal Isfayani, Erna Isjoni Isjoni Izza, Dzaky Fahiqul Joy Nasten Sinaga Jumadi Jumadi Kelvin Kelvin Khairunnisa, Ratu Makhdah Kinanti, Wandira Krisna Rendi Awalludin Liananiar, Liananiar Listiana, Yeni Malia, Anna Manurung, Fatimah Marhami, Marhami Marli, Nofrita Mastuang Mastuang Muhammad Dalimunthe Muhammad Luthfi Muliana, Muliana Muliana, Muliana Muliana, Sadriaton Mulianti, Deni Mursalin . Muslih Fathurrahman Mutia Fonna Mutia, Cut Winni nanang nanang Nazirah, Filzah Novia Novia Nur Elisyah Nur Fadhilah Nurhayati Nurhayati Nurjannah Nurjannah Nurul Afni Sinaga Octavia, Richa Oktaviani, Vera Pane, Nurul Hajizah Pasaribu, Jaza Anil Husna Perani Rosyani Purnamawati, Santi Ayu R, Rohantizani Rahayu, Zahara Rahmatillah, Rahmatillah Rahmi, Ainun Ramadhana, Syafirly Ramadhani, Ayu Indah Ratna Unaida, Ratna Raudhati, Sri Rifaatul Mahmuzah Rohantizani, Rohantizani Sabrina, Dea Naura Sarah, Kamai Sari, Dwhy Dinda Sinaga, Frans Mikael Siraj Siraj SITI MARYAM Sondang Manurung Sopiyan Apandi SP, Novianti Helena Suhaila, Rizka Suryani Hawa, Muzaifa Syamsul Bahri Syaputri, Rezy Tambunan, Herrywati tina, agustina wulandari berutu Tina, Pisah Utari, Khaliza Winarto, Bambang WIWI, YENITA Wulan, Nimas Wulandari Wulandari Yasmin, Aina Yuliantoro, Yuliantoro Yundari, Yundari Yusra, Yusra Yuswita, Yuswita z, rohantizani Zulfajri, Zulfajri