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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Sainteks Proceedings of KNASTIK TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika SPEKTRUM INDUSTRI Jurnal Sarjana Teknik Informatika JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Seminar Nasional Informatika (SEMNASIF) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika JTET (Jurnal Teknik Elektro Terapan) Jurnal Penelitian Pendidikan IPA (JPPIPA) Indonesian Journal of Artificial Intelligence and Data Mining Buffer Informatika Jurnal Sains dan Informatika JRST (Jurnal Riset Sains dan Teknologi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURTEKSI Mobile and Forensics Masyarakat Berdaya dan Inovasi Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Mandiri IT Ahsana: Jurnal Penelitian dan Pengabdian kepada Masyarakat Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka Control Systems and Optimization Letters Prosiding Seminar Nasional CORISINDO
Murinto Murinto
Program Studi Teknik Informatika Fakultas Teknologi Industri Universitas Ahmad Dahlan Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
Impact of Optimizer Selection on MobileNetV1 Performance for Skin Disease Detection Using Digital Images Habie, Khairul Fathan; Murinto, Murinto; Sunardi, Sunardi
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4685

Abstract

Automatic detection of skin diseases using digital images is a growing field in the application of deep learning in the medical world, especially to help the early diagnosis process. One of the most widely used models is MobileNetV1 because it is lightweight and efficient in image processing. However, the performance of the model is greatly affected by the training configuration, including the type of optimizer used. This study aims to compare the effectiveness of six types of optimizers, namely SGD, RMSprop, Adam, Adadelta, Adagrad, Adamax, and Nadam in training MobileNetV1 models for human skin disease image classification. The model was trained on annotated skin image dataset with predetermined training parameters: batch size 32, learning rate of 0.0001, and 10 epochs. Performance evaluation was performed using accuracy metrics. The results obtained demonstrate that RMSprop performs best, with 99.10% accuracy, 99.14% precision, 99.10% recall, and a 99.10% F1-score. Adadelta showed the lowest performance consistently, with only 22.22% accuracy, 20.34% precision, 22.22% recall, and 18.42% F1-score. This finding confirms that the type of optimizer affects the effectiveness of model training, especially in medical image classification tasks. This research provides empirical insights that are useful in selecting the optimal optimizer for MobileNetV1 model implementation in the healthcare domain.
Comparison of Transfer Learning Strategies Using MobileNetV2 and ResNet50 for Ecoprint Leaf Classification Hajar, Siti; Murinto, Murinto; Yudhana, Anton
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5266

Abstract

This research focuses on the classification of leaf types used in ecoprint production through the steaming technique by applying transfer learning on two widely recognized convolutional neural network (CNN) architectures, MobileNetV2 and ResNet50. Leaves have diverse applications in various sectors such as medicine, nutrition, and handicrafts. The study utilized a total of 600 leaf images from 15 species were collected from the surrounding environment and divided into 80% training and 20% testing sets. The aim of this study is to classify leaf types suitable for ecoprint quickly and efficiently, based on transfer learning with two CNN architectures, while incorporating fine-tuning. MobileNetV2 was selected for its computational efficiency, while ResNet50 was chosen for its ability to address the vanishing gradient problem and deliver high accuracy. Fine-tuning was employed to optimize model performance. Experimental results demonstrate that both architectures achieved strong performance, with MobileNetV2 reaching 94.12% accuracy and ResNet50 slightly outperforming it at 94.96%. Confusion matrix evaluation further confirmed these results, yielding accuracy, precision, recall, and F1-score values of 0.94, 0.95, 0.95, and 0.94, respectively. These findings highlight ResNet50’s superior performance over MobileNetV2 while affirming the effectiveness of both models in ecoprint leaf classification.
Co-Authors Abdul Fadlil Abdul Jawad Achmad Sahri Ramdhani Adam, Irfan adelia fitriawati zakiyyah Adhi Prahara Adhi Prahara Adhi Prahara, Adhi Aditya Kurniawan Agus Harjoko Agus Harjoko Amin Padmo A.M Angga Prasetio Romadhon Anton Yudhana Arfiani Nur Khusna Arief Yudiyanto Arya Yugi B Auzan, Muhammad Azhari, Ahmad B, Arya Yugi Bachrudin Muchtar Bachrudin Muchtar Benny Adrian Bidinnika, Muhammad Kunta Binar Aji Hermawan Caswito Caswito Darmanto Darmanto Daru Thobrani Furqon Deris Alfiansyah Kurnia Dewi Pramudi Ismi Dyah Apriliani Dyah Apriliani Dyah Apriliani Eko Aribowo Eko Aribowo Elena Yustina Elena Yustina Erik Iman Heri Ujianto Faisal, Ilyas Farajullah Farajullah Ferangga Puguh Furizal, Furizal Gading Surya Lesmana Galang Romadhon Gustava Ardiantoro Habibillah, Ahmad Yasin Habie, Khairul Fathan Hafin, Aqid Fahri Hazar, Siti Herman Yuliansyah, Herman Ikhwan Hawariyanta Indarto Indarto Indra Dwi Ananto Irfan Adam Irfan Adam Jamhari Widadi Kartika Firdausy Krisna Astianingrum Labib Azhar Janotama Lesmana, Gading Surya Martania Melany Mawarni, Syifa’ah Setya Miftahurahma Rosyda Miftahurrahma Rosyda Muchtar, Bachrudin Muhammad Arif Nuur Hafidz Muhammad Ridwan Murein Miksa Mardhia Nagala Wangsa kencana Nur Rochmah Dyah Pujiastuti Nurkhasanah Nurkhasanah Nurul Istiqomah Nuur Hafidz, Muhammad Arif Padmo A.M, Amin Pawestri, Sheraton Permadi, Yuda Pratama, Ridho Haikal Puji Triono Pujiyono, Wahyu Putri, Salsabilla Azahra Rajunaidi, Rajunaidi Risnadi Syazali Rizki Muriliasari Royyan Yuni Miladi Rusydi Umar Salsabilla Azahra Putri Sefiyanti, Reza Shireen Panchoo Siti Hajar Son Ali Akbar Sri Handayaningsih Sri Hartati Sri Winiarti Suhendra Edi Saputra Sunardi Sunardi Sunardi, Sunardi Suyahman Suyahman Syifa'ah Setya Mawarni Taufik Cahya Prayitna Teguh Sudrajat Thoat Khoirudin Tri Kasihno Triono, Puji Wahju Tjahjo Saputro Wahyu Pujiyono Wahyu Pujiyono Wawan Ragil Wibowo Wijayanti, Dedi Willy Permana Putra Wisnu Ahmad Maulana Yan Adhi Permadi Yesiansyah Yesiansyah Yuda Permadi Yulisasih, Baiq Nikum Yunianti, Rizqi Yustina, Elena Zakiyyah, Adelia Fitriawati Zulkarnain Effendi