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All Journal Agromet Tadris: Jurnal keguruan dan Ilmu Tarbiyah Jurnal Teknologi Informasi dan Ilmu Komputer JOURNAL OF CIVIL ENGINEERING, BUILDING AND TRANSPORTATION Techne : Jurnal Ilmiah Elektroteknika Pendas : Jurnah Ilmiah Pendidikan Dasar Technomedia Journal JSiI (Jurnal Sistem Informasi) Jurnal Ilmiah Pendidikan dan Pembelajaran Journal of Education Action Research J-Dinamika: Jurnal Pengabdian Kepada Masyarakat JISAE (Journal of Indonesian Student Assesment and Evaluation) Veritas : Jurnal Teologi dan Pelayanan ACITYA Journal of Teaching & Education Jurnal Muara Ilmu Ekonomi dan Bisnis Jurnal Teknik Mesin Indonesia Zonasi: Jurnal Sistem Informasi Jurnal Engine: Energi, Manufaktur, dan Material Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Airman Jurnal Ilmiah Akomodasi Agung Jurnal Ilmiah Raflesia Akuntansi Jurnal Pengabdian Kepada Masyarakat Patikala Arus Jurnal Pendidikan Arus Jurnal Sosial dan Humaniora Journal of Trends Economics and Accounting Research Andalas International Journal of Socio-Humanities Journal of Innovation Research and Knowledge Arus Jurnal Psikologi dan Pendidikan JUARA: JURNAL WAHANA ABDIMAS SEJAHTERA Jurnal Pengabdian Masyarakat Ilmu Pendidikan Jurnal Infokes (Informasi Kesehatan) Jurnal Pendidikan Ilmu Sosial Jurnal TNI Angkatan Udara Berkala Forum Studi Transportasi antar Perguruan Tinggi The Indonesian Journal of Computer Science Alhikam Journal of Multidisciplinary Islamic Education (AJMIE) Rabbayani: Jurnal Pendidikan dan Peradaban Islami Nuwo Abdimas Tourism Economics, Hospitality, and Business Management Journal PESHUM SCIENTIA JOURNAL : Jurnal Ilmiah Mahasiswa Jurnal Keselamatan Transportasi Jalan Jurnal Dinamika Pendidikan Paradigma: Jurnal Pemikiran dan Penelitian Pendidikan
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PENGARUH MODEL COOPERATIVE LEARNING TIPE JIGSAW DAN TEAMS GAMES TOURNAMENT TERHADAP PENINGKATAN BERPIKIR KRITIS PENDIDIKAN PANCASILA KELAS IV SEKOLAH DASAR Indriyani, Mae Lisa; Khairani, Fadhilah; Handoko; Nurwahidin, Muhammad
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 2, Juni 2026 Publish
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.44867

Abstract

The problem in this research is the low critical thinking ability of fourth-grade students at SD Negeri 1 Metro Utara. The objective of this research is to describe and analyze the influence of the cooperative learning model types Jigsaw and Teams Games Tournament on the improvement of critical thinking among fourth-grade elementary school students, and to determine the difference in the improvement of critical thinking using the Jigsaw model and the Teams Games Tournament model. This research is quantitative in type, using a quasi-experimental method. The research design used is a non-equivalent control group. The sampling technique employed is non-probability sampling with purposive sampling. The population used in this research is all fourth-grade classes at SD Negeri 1 Metro Utara. The research samples are: IVA class as the experimental class, IVB class as the control class, and IVC class as the instrument testing class. The total sample for IVA and IVB classes is 58 students. The data collection technique uses test and non-test methods. The data analysis technique uses simple linear regression testing and independent sample T-test. The research results show a significant influence on the cooperative learning model type Jigsaw, with a calculated F-value of 243,498 > F-table of 4.19, while for the Teams Games Tournament model, the calculated F-value is 55,709 > F-table of 4.19. There is a significant difference between the models, as indicated by a calculated t-value of 0.010 < t-table of 0.05.
Klasifikasi Penyakit Acute Lymphoblastic Leukemia Menggunakan Convolutional Neural Network Efficientnet B4 Dan B7  Kusumastuti , Rajnaparamitha; Wariyanto Abdullah, Robi; Handoko
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 4: Agustus 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.134

Abstract

Leukemia Limfoblastik Akut (ALL) merupakan leukemia paling umum pada anak-anak sehingga memerlukan deteksi dini berbasis analisis citra yang cepat dan akurat. Penelitian ini mengklasifikasikan citra apusan darah tepi (Peripheral Blood Smear/PBS) menggunakan Convolutional Neural Network (CNN) berarsitektur EfficientNet B4 dan EfficientNet B7. Dataset terdiri atas 5.733 citra dari 89 pasien, diproses pada ukuran input 224 × 224 piksel, kemudian dibagi menjadi data latih, validasi, dan uji dengan rasio 80:10:10, dengan jumlah 4.586 data pelatihan, 573 data validasi, dan 574 data uji. Pelatihan dilakukan dengan pendekatan transfer learning dan augmentasi data untuk meningkatkan kemampuan generalisasi model. Evaluasi dilakukan menggunakan akurasi, precision, recall, F1-score, training loss, dan validation loss. Hasil terbaik menunjukkan bahwa EfficientNet B4 pada skenario 100 epoch mencapai akurasi 99,50%, precision 98,41%, recall 98,43%, dan F1-score 99,20%. Model ini mampu memberikan performa kompetitif terhadap EfficientNet B7 dengan kebutuhan komputasi lebih rendah serta stabilitas lebih baik terhadap overfitting. Kontribusi penelitian ini terletak pada analisis trade-off antara akurasi, stabilitas validasi, risiko overfitting, dan efisiensi komputasi model sebagai dasar pemilihan arsitektur yang lebih tepat untuk deteksi dini leukemia.   Abstract Acute Lymphoblastic Leukemia (ALL) is the most common type of leukemia in children, requiring early detection through fast and accurate image-based analysis. This study classifies peripheral blood smear (PBS) images using a Convolutional Neural Network (CNN) with EfficientNet B4 and EfficientNet B7 architectures. The dataset consists of 5,733 images from 89 patients, processed at an input size of 224 × 224 pixels, and divided into training, validation, and testing sets with an 80:10:10 ratio, comprising 4,586 training images, 573 validation images, and 574 testing images. Training was conducted using transfer learning and data augmentation to improve the model’s generalization ability. Evaluation was performed using accuracy, precision, recall, F1-score, training loss, and validation loss. The best result was achieved by EfficientNet B4 in the 100-epoch scenario, with an accuracy of 99.50%, precision of 98.41%, recall of 98.43%, and F1-score of 99.20%. This model provides competitive performance compared with EfficientNet B7 while requiring lower computational resources and demonstrating better stability against overfitting. The contribution of this study lies in analyzing the trade-off between accuracy, validation stability, overfitting risk, and computational efficiency as a basis for selecting a more appropriate architecture for early leukemia detection.
Co-Authors Adawiyah Siregar, Rabiyatul Agung Dwi Sasongko Agus Sutrisno Agustin Ahda Imron, Nanda Ahmad Yakin Akbar Bariki Alexander Knohl Anang Cundoko, Tumiran Anlovsky Antonius Felix ARINDA LELIANA Aryatama, Septian Asrofiq, Ahmad Athiya Farha, Syahla Ati Bagus Jamroji Bambang Hari Priyambodo Bariq Nasution Booni Tauhid Brahmana, Billy Teopilus Budi Basuki Bujang Rahman Christian Stiegler Churniawan, Erifendi Daniel Darul Ihsan Dayu Rika Perdana Destini, Frida Dina Rahmawati Dintia Nurmazia Milah Dorrah Azis DWI YULIANTI Dyandra Sastra Wardani Edi Saputra Fachri Muhammad Fadhilah Khairani, Fadhilah Faiz Farhana Yasmeen Qadri Farida, Muthia Fatkhur Rohman Felita Jekri Fikry Alvianto Kurniawan, Fikry Giri Yudho Grant Andrie Hardi Triwahyu Hartanto Kusuma Wardana Hasan Hariri Hasudungan, Farhan Herfiyanti, Leni Hermawan, Jody Setya herpratiwi Ibnu Abbas Ilman Putra Pamungkas Imam Solihin Indra Permana Indriyani, Mae Lisa Irawan, Wahyudi Saputra Irvanda Julian Awal Jonathan Salim, Steven Joosten Joosten Juan Matthew Karsten Junadhi Junadhi Khairunnisa Khoiriyah Kurniawan, Stephanus Danny Kusumastuti , Rajnaparamitha Lilik Dwi Setyana Luh Maya Rani Mariska, Revi Matthew Karsten, Juan Mliless , Mohamed Mliless, Mohamed Muhammad Safdar Bhatti Mutholingah, Siti Mutia Putri Dewi Apriyanti Nanda Ahda Imron Nazra Zahid Shaikh Nina Kadaritna Nina Kadaritna Novaliyosi NURHADI NURULIA HIDAYAH Nurwahidin, Muhammad Pradini, Susanthi Prihadianto, Braam Delfian Prihanto, Rusman Putra Iswanto, Ary Rabiyatul Adawiyah Siregar Raharjo Putri, Miftahul Zannah Rahmaddeni Rahmaddeni Rahman, Sapta Isniar Raihan Rafif Ramadhani, Muh Rizki Ramadhansyah, Donny Rangga Firdaus Resti Salmayenti Ria Khoirunnisa Apriyani Rifqi Khairul Anam Riswandi Rizal, M. Khairu Rizal, M. Khairu Rizal Rizky Amelia Rizky Kurniawan Robert Deffie Robert Edy Sudarwan, Robert Edy Robi Wariyanto Abdullah Rosidin, Udang Ruby T Salsabila Putri, Hana Sapta Jengkar Sasongko, Dian Anjani Cahyaningrum Sasqiya Putri, Destiana Seta Anggara, Yogi Setyawan Bekti Wibowo Setyo Oktaria, Dhina sholihat, khodijah amatulloh Sigit Sugiarto Sowiyah Sowiyah Steven Jonathan Salim Sucitra, Diah Ayu SUGIYANTO Sugiyanto Sugiyanto Sutomo Putra, Lopan Syafaruddin Tania June Tannia Triyani Arita Fitri Undang Rosidin Undang Rosidin Uswatun Hasanah Waahsturi Wahyu Pratama, Andri Wan Ibnu, Happy Wawan Riyanta Widyastuti Widyastuti Widyastuti Wijaya, Andreas Winson Y. H. Yogaswara Yani Kurniawan Yarzan Munakalla Yoga Fernando Rizqi Yogi Yunefri, Yogi Yon Sugiarto Yorgi Ardiano Ndaomanu Yuwono Wiarco Za’immatul Mu’allimah