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Comparison of Various Deep Learning Techniques to Obtain the Best Technique for Detecting Brain Cancer Febi Yanto; Elvia Budianita; Shir Li Wang
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol. 11 No. 2 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to address the difficulty of comparing deep learning–based brain cancer detection methods due to differences in datasets and parameter settings, which limits the generalizability of previous findings. The purpose of this research is to evaluate the performance of several convolutional neural network (CNN) architectures using identical datasets and experimental configurations to determine the most effective technique for early brain cancer detection. The study builds a comparative framework using the Keras API on TensorFlow, supported by libraries such as NumPy, Pandas, Matplotlib, and Seaborn. All datasets were split into stratified training, validation, and test sets, and preprocessing included resizing images to 224×224 pixels, converting them to 3-channel RGB, normalizing the inputs, and applying data augmentation. CNN architectures, including VGG16, ResNet50, GoogleNet, and AlexNet, were trained with consistent parameter settings, including epoch count, batch size, learning rate optimization, and training protocols. Performance evaluation using accuracy, precision, recall, and F1-score shows that GoogleNet and ResNet50 achieve the highest results across datasets (average >94%), with GoogleNet slightly outperforming ResNet50. AlexNet performs poorly on the Kaggle dataset but shows potential on the private dataset, while VGG16 demonstrates moderate but less consistent performance. The originality of this study lies in providing a unified evaluation framework that enables fair comparison across CNN models, offering valuable insights for selecting optimal architectures for brain cancer detection.
KLASIFIKASI MINAT BACA MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER Muhammad Hafiz; Elvia Budianita; Alwis Nazir; Siska Kurnia Gusti
Journal of Economic, Bussines and Accounting (COSTING) Vol. 9 No. 1 (2026): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/gcqhr236

Abstract

Minat baca merupakan faktor penting dalam mendukung keberhasilan akademik siswa, namun pengukurannya masih sering dilakukan secara subjektif. Penelitian ini bertujuan untuk mengklasifikasikan tingkat minat baca siswa MTsN 1 Payakumbuh menggunakan metode Naïve Bayes Classifier. Atribut yang digunakan sebagai input berupa 20 butir pernyataan kuesioner skala Likert yang merepresentasikan kebiasaan, frekuensi, motivasi, serta preferensi membaca siswa. Data penelitian diperoleh dari 911 responden yang dikelompokkan ke dalam tiga kelas tingkat minat baca, yaitu tinggi (329 data), sedang (501 data), dan rendah (81 data). Pengujian model dilakukan menggunakan tiga skema pembagian data latih dan data uji, yaitu 90:10, 80:20, dan 70:30. Evaluasi performa model menggunakan confusion matrix menunjukkan bahwa skema 90:10 menghasilkan akurasi sebesar 96,74%, skema 80:20 sebesar 97,81%, dan skema 70:30 sebesar 98,18%. Hasil tersebut menunjukkan bahwa metode Naïve Bayes Classifier memiliki performa yang sangat baik dan konsisten dalam mengklasifikasikan tingkat minat baca siswa berdasarkan data kuesioner.
Co-Authors Abdul Halim Adzhima, Fauzan Afriyanti, Iis Agnesti, Syafira Agung Syaiful Rahman Agustina, Auliyah Aji Pangestu Adek Akbar, Lionita Asa Akhyar, Amany Al Rasyid, Nabila Alfaiza, Raihan Zia Alfarabi.B, Alif Alwis Nazir Alwis Nazir Alwis Nazir Amalia Hanifah Artya Ammar Muhammad Anggi Pranata Aprilia, Tasya Aprima, Muhammad Dzaky Arif Pratama Budiman Ayu Sri Wahyuni Azhima, Mohd Baehaqi Boni Iqbal buhfi arides hanyodi Chely Aulia Misrun Citra Wulandari Damayanti, Elok Desra Rizki Riyandi Dicky Abimanyu Dinyah Fithara Dodi Efendi doli fancius silalahi Eka Pandu Cynthia Eka Pandu Cynthia Eka Pandu Cynthia Eka Suryani Indra Septiawati Elin Haerani Elin Haerani Elin Haerani Elin Haerani Ellin Haerani Fadhilah Syafria Fakhri Fakhri Faska, Ridho Mahardika Fatma Hayati Fauzan Adzim Febi Yanto Fikri Utri Amri Fikry Utri Amri Fitri Astuti Fitri Insani Fitri Insani Fitri Insani Fitri Insani Fitri, Anisa Fratiwi Rahayu Gusrifaris Yuda Alhafis Gusti, Siska Kurnia Guswanti, Widya Habibi Al Rasyid Harpizon Habibi, M. Ilham Hara Novina Putri Hariansyah, Jul Ibnu Afdhal Ichsan Permana Putra Ihda Syurfi Ihlal Hanafi Harahap Iis Afrianty Iis Afrianty Ikhsanul Hamdi Ilham Habibi Hasibuan Indah Wulandari Irfan Arifin Irfan Jamal Matondang Isra Almahsa, Muhammad Iwan Iskandar Iwan Iskandar Iwan Iskandar Iwan Iskandar Jasril Jasril Jasril Jasril jasril jasril jasril Jeki Dwi Arisandi Lestari Handayani Lestari Handayani Lili Rahmawati lis Afrianty Liza Afrianti Lola Oktavia M Fikry M Ikhsan Maulana M Ridho Alfani M ridwan Ma'rifah, Laila Alfi Masaugi, Fathan Fanrita Mawadda Warohma Mazdavilaya, T Kaisyarendika Megawati Megawati Meiky Surya Cahyana Mhd. Kadarman Mohd. Ridho Zarkasih Rahim Muhammad Affandes Muhammad Fikry Muhammad Fikry Muhammad Fikry Muhammad Fikry Muhammad Hafiz Muhammad Irsyad Muhammad Rizky Ramadhan Mulyati, Sabar Mulyono, Makmur Musa Irfan Mustasaruddin Mustasaruddin Nabyl Alfahrez Ramadhan Amril Nada Tsawaabul Khair Nanda Sepriadi Nazir, Alwis Nazruddin Safaat H Neni Sari Putri Juana Novi Yanti Novi Yanti Novriyanto Novriyanto Nur Iza Nuradha Liza Utami Nurafni Syahfitri Nurfadilah, Nova Siska Okfalisa Okfalisa Pasiolo, Lugas Permata, Rizkiya Indah Pizaini Pizaini Putri, Widya Maulida Rahmad Abdillah Rahmad Kurniawan Ramadani, Repi Ramadhan, Aweldri Ramadhani Herfin Ramadhani, Astrid Ramadhani, Siti Reni Susanti Reski Mai Candra Reski Mai Candra Rinaldi Syarfianto Robby Azhar Roni Salambue Rusnedy, Hidayati Said Nurfan Hidayad Tillah Saktioto Saktioto Salmiyati Salmiyati Sephia Pratista Shir Li Wang Silfia Silfia Siti Ramadhani Siti Sri Rahayu Surya Agustian Suwanto Sanjaya Syahputra, Armadani Trisia Intan Berliana Ulti Desi Arni, Ulti Desi Ummy Agustina Putri Widodo Prijodiprodjo Wiranti, Lusi Diah Yeni Fariati Yusra Yusra Yusra Yusra Yusra Yusra Yusra Yusra Yusra, Yusra Zabihullah, Fayat Zulastri, Zulastri Zulkarnain Zulkarnain