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All Journal Kajian Pendidikan & Akuntansi Indonesia JURNAL SISTEM INFORMASI BISNIS Jurnal Pengajaran MIPA Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Pendidikan Matematika Prosiding SNATIF Nurani: Jurnal Kajian Syariah dan Masyarakat Global Medical and Health Communication ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Ampere ITEj (Information Technology Engineering Journals) PAUDIA: JURNAL PENELITIAN DALAM BIDANG PENDIDIKAN ANAK USIA DINI JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING IT JOURNAL RESEARCH AND DEVELOPMENT Indonesian Journal of Artificial Intelligence and Data Mining Journal of Teaching and Learning in Elementary Education Jurnal Ekonomi Integra Biosaintifika: Journal of Biology & Biology Education Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal RESISTOR (Rekayasa Sistem Komputer) JURIKOM (Jurnal Riset Komputer) AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Jurnal Idiomatik: Jurnal Pendidikan Bahasa dan Sastra Indonesia Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Global Health research JOURNAL LA MEDIHEALTICO Jurnal Perak Malahayati : Pengabdian Kepada Masyarakat Journal of Technology and Informatics (JoTI) INDONESIAN JOURNAL OF HEALTH Jurnal Hukum Jurisdictie Jurnal Kesehatan Abdurrahman Innovative: Journal Of Social Science Research SJEE (Scientific Journals of Economic Education) PMSDU Jurnal Multidisipliner Kapalamada Al-Hijrah: Journal of Islamic Economics and Banking IEB: Journal of Islamic Economics and Business
Aryanti Aryanti
Centre for Isotopes and Radiation Application, BATAN, Indonesia
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Journal : JURIKOM (Jurnal Riset Komputer)

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Performance Comparison Between ResNet50 and MobileNetV2 for Indonesian Sign Language Classification Daviana, Feriska Putri; Aryanti, Aryanti; Anugraha, Nurhajar
JURIKOM (Jurnal Riset Komputer) Vol 12, No 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8667

Abstract

Hearing impairment was considered a significant barrier to understanding verbal communication. Therefore, an alternative communication medium in the form of sign language was required to bridge interactions between Deaf and hearing individuals. One of the sign languages used in Indonesia was the Indonesian Sign Language (BISINDO). The advancement of deep learning technology provided a great opportunity to develop an effective and accurate BISINDO alphabet classification system. This research was conducted to evaluate and compare the performance of two Convolutional Neural Network (CNN) architectures, namely ResNet50 and MobileNetV2, in classifying BISINDO alphabet images consisting of 26 classes from A to Z. Model training wa carried out over 100 epochs and was analyzed using metrics such as training and validation accuracy, precision, recall, F1-score, and confusion matrix. The training process used a dataset that was divided into 80% training data and 20% validation data, and include image preprocessing steps such as resizing and rescaling. The evaluation results showed that ResNet50 achieved 86.42% training accuracy and 98.64% validation accuracy with 98.80% precision, 98.69% recall, 98.57% F1-score, and 31 misclassifications. In contrast, MobileNetV2 showed superior performance with 99.99% training accuracy, 99.65% validation accuracy, 99.69% precision, 99.65% recall, 99.61% F1-score, and only 8 misclassifications. Based on these results, MobileNetV2 was recommended as a more effective and efficient architecture for BISINDO alphabet image classification compared to ResNet50.
Performance Comparison Between ResNet50 and MobileNetV2 for Indonesian Sign Language Classification Daviana, Feriska Putri; Aryanti, Aryanti; Anugraha, Nurhajar
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8667

Abstract

Hearing impairment was considered a significant barrier to understanding verbal communication. Therefore, an alternative communication medium in the form of sign language was required to bridge interactions between Deaf and hearing individuals. One of the sign languages used in Indonesia was the Indonesian Sign Language (BISINDO). The advancement of deep learning technology provided a great opportunity to develop an effective and accurate BISINDO alphabet classification system. This research was conducted to evaluate and compare the performance of two Convolutional Neural Network (CNN) architectures, namely ResNet50 and MobileNetV2, in classifying BISINDO alphabet images consisting of 26 classes from A to Z. Model training wa carried out over 100 epochs and was analyzed using metrics such as training and validation accuracy, precision, recall, F1-score, and confusion matrix. The training process used a dataset that was divided into 80% training data and 20% validation data, and include image preprocessing steps such as resizing and rescaling. The evaluation results showed that ResNet50 achieved 86.42% training accuracy and 98.64% validation accuracy with 98.80% precision, 98.69% recall, 98.57% F1-score, and 31 misclassifications. In contrast, MobileNetV2 showed superior performance with 99.99% training accuracy, 99.65% validation accuracy, 99.69% precision, 99.65% recall, 99.61% F1-score, and only 8 misclassifications. Based on these results, MobileNetV2 was recommended as a more effective and efficient architecture for BISINDO alphabet image classification compared to ResNet50.
Co-Authors AA Sudharmawan, AA Adhi Nugraha Agustini, Anisa 'A Aini, Apriyanti Akifah Fakhira, Dhia Al Hafiizh, Erwin Ali Akbar Alimuddin, Tri Herdian Syah Aliudin Aliudin, Aliudin Andoko Andoko, Andoko Angelina, Fifteen Anggraini, Nur Septi Anugrah, Aninditya Putri Asrafi, Ibnu Asriyadi Asriyadi Basri, Syamsuriana Ciksadan, Ciksadan Daeng Kanang, Indah Lestari Daviana, Feriska Putri Desiana, Lidia Desvi Wahyuni Djakfar, Yunizir Dwiyanti, Julita Dyah Utari Yusa Wardhani Efridani Lubis Elliya, Rahma Emilia Hesti Endri, Jon Epriyani, Merita Ernawati Ernawati Fadli, Irwan Fahrezi, M. Vilza Raihan Fatin, Muhammad Hanif Fazarrudin, Muhammad Febriyanti, Valentina Fitrawahyudi, Fitrawahyudi FITRIYANTI, RAMADHINA Gibtiah Gibtiah H., Rahmawati Haksa, Febrina Rosadah Halimatussa'diyah, R.A. Halimatussa’diyah, R. A. Handoko, Ridwan Harahap, Adhelia Febriasari Hilda Hilda Ikhthison Mekongga Imansyah, Muhammad Ince Nasrullah Indah Dwi Sartika Intan Handayani, Sri Irma Salamah Ishak Ishak Ismail Suardi Wekke Ita Dwimahyani K, Umi Rohmayati Kartika Sari, Enda Khaerani, Khaerani Kurniyanti, Novia Kyara, Fatia Salsabilla Laila, Nazmy Noor Lamdayani, Rinda Larasati, Woro Endah Lindawati , Lindawati Lindawati Lindawati Lubis, Abdillah Makmun, Armanto Maya, Sri Meike Rachmawati Meitasari, Vina Meitasari, Vina Melati, Rina Mustaziri Nabila, Nabila Nesyana, Nesyana Novelasari, Novelasari Noviansyah, Noer Ramadhon Nurhadiva, Siti Salwa Nurhajar Anugraha Nuzirwan Acang Permadi, Yan Pramawati, Anita Purwani, Rani Putri, Alda Nabila Putri, Chairunnissa Putri, Nurhaliza Aulia Putri, Vivi Dwi Rachmania, Rachmania Rahmi Rahmi Ramayanti, Tariza Putri Retno Wulandari Rilyani, Rilyani Rini Anggeriani Rini Marwati Riska Wandini, Riska Riswandi, Akmal Rizka, Mahda Robian, Rian Rohmad Adi Yulianto Rosyada, Rosyada Sabila Utami, Meisyah Sakti, Irma Saleh, Ahmad Muzawwir Samsul Anam, Samsul Saputri, Kirana Assyifa Sari, Diah Novita Sari, Lia Dian Sari, Yona Sarjana Sarjana Setiawati Setiawati Silvia, Eka Sitti Aisyah Sopian Soim Sopian Soim, Sopian Suci, Yuni Selvita Sugeng, Santoso Suryanti, Yuli Sutedja, Lenny Tely, Aristo Tiara Fatrin Titin Apriyani Tri Muji Ermayanti Trismiana, Eka Triyoso, Triyoso Umari, zuul fitriani Utami, Pertiwi Nurul Wibowo, Muhamad Arya Al Ghifari Wida Purbaningsih Wijaya, Tommy Tanu Wijayanti, Adhika Wulandari, Afifah Yordan Hasan, Yordan Yulia Hapsari Yulia Haryono Zhafarina, Imas Ning