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All Journal Jurnal Buana Informatika Jurnal Informatika dan Teknik Elektro Terapan INTEGER: Journal of Information Technology JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jusikom: Jurnal Sistem Informasi Ilmu Komputer bit-Tech ILKOMNIKA: Journal of Computer Science and Applied Informatics Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Jifosi Letters in Information Technology Education (LITE) Nusantara Science and Technology Proceedings Jurnal Teknik Informatika (JUTIF) International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Informatika Teknologi dan Sains (Jinteks) Ranah Research : Journal of Multidisciplinary Research and Development Jurnal Riset Multidisiplin dan Inovasi Teknologi Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Informatika Dan Tekonologi Komputer
Eka Prakarsa Mandyartha
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Journal : ilkomnika journal of computer science and applied informatics

 1 
Optimasi Hyperparameter Model GRU untuk Prediksi Harga Saham ANTM Subairi, Subairi; Sari, Anggraini Puspita; Mandyartha, Eka Prakarsa
ILKOMNIKA Vol 7 No 3 (2025): Volume 7, Number 3, December 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v7i3.817

Abstract

Prediksi harga saham berperan penting meminimalisir kerugian akibat fluktuasi harga saham. Penelitian ini bertujuan untuk meningkatkan akurasi prediksi harga saham PT Aneka Tambang Tbk (ANTM) menggunakan model Gated Recurrent Unit (GRU) dengan optimasi hyperparameter melalui metode Grid Search. Model GRU dipilih karena mampu mengatasi permasalahan vanishing gradient dan efektif dalam mempelajari pola ketergantungan jangka panjang pada data deret waktu walaupun dengan arsitektur yang sederhana. Sementara itu, Grid Search digunakan karena memiliki keunggulan dalam menjelajahi ruang hyperparameter secara menyeluruh, sehingga setiap kombinasi parameter dapat diuji dan memungkinkan diperolehnya konfigurasi terbaik. Proses Grid Search dilakukan dengan ruang pencarian hyperparameter yang mencakup jumlah units, jumlah epoch, ukuran batch, serta variasi optimizer. Keunggulan utama penelitian ini terletak pada penerapan optimasi hyperparameter yang mampu meningkatkan efektivitas model GRU dalam menemukan konfigurasi terbaik, sehingga menghasilkan prediksi harga saham yang lebih akurat dan stabil. Evaluasi kinerja model menggunakan metrik RMSE, MAE, MAPE. Hasil penelitian menunjukkan bahwa model GRU dengan optimasi Grid Search menggunakan optimizer Adam memberikan performa yang optimal dengan nilai evaluasi RMSE sebesar 67.8805, MAE sebesar 45.6501, dan MAPE sebesar 2.2309%. Temuan ini membuktikan bahwa optimasi hyperparameter melalui Grid Search mampu meningkatkan akurasi prediksi model GRU pada data harga saham.
Optimizing MobileNetV2 Using Transfer Learning and Fine-Tuning Techniques for Lung Cancer Classification Rozi, Atiqur; Puspaningrum, Eva Yulia; mandyartha, Eka Prakarsa
ILKOMNIKA Vol 8 No 1 (2026): Volume 8, Number 1, April 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v8i1.871

Abstract

Lung cancer remains one of the leading causes of mortality worldwide, highlighting the importance of early and accurate detection. This study proposes a deep learning-based approach for lung cancer classification using the MobileNetV2 architecture on CT-scan images. Two experimental scenarios were investigated: transfer learning with a frozen base model and fine-tuning by unfreezing selected layers. The dataset was compiled from publicly available sources and balanced to address class imbalance. The model was trained using the Stochastic Gradient Descent (SGD) optimizer and evaluated using accuracy, precision, recall, and F1-score. The results demonstrate that the fine-tuning strategy achieves superior performance across most evaluation metrics compared to transfer learning. In particular, recall shows a significant improvement, indicating enhanced capability in detecting positive cancer cases, although accompanied by a slight decrease in precision. The F1-score also improves, reflecting a better balance between precision and recall. These findings suggest that fine-tuning enhances feature representation and improves classification performance within the experimental setting. However, the results are limited to the dataset used in this study, and further validation on larger and clinically representative datasets is required before considering real-world medical applications.
Co-Authors Achmad Junaidi Agung Mustika Rizki, Agung Mustika Agung Subekti, Mohamad Rafli Agustin, Risda Rosdiana Andrianto, Mochammad Rifky Anggraini Puspita Sari Ani Dijah Rahajoe Anita Puspitasari Basuki Rahmat Chastine Fatichah Dwi Arman Prasetya Eliza, Nidya Eriyansyah Yusuf Suwandana Eva Yulia Puspaningrum Fathuddin, Muhammad Abdul Hafizh Fedianto, Muhammad Helmi Satria Firza Prima Aditiawan Gusti Eka Yuliastuti Hermadiputri, Firdausa Yasmin indrawanti, annisaa sri Intan Yuniar Purbasari Isnaini, Frisda Dita Kamila, Shaffa Cahya kristanti, beni tiyas Lutfia, Qonita Margarita, Devina Maulana, Hendra Maulana, Raihan Thobie Nabil Millani, Alief Indy Muchammad Kurniawan Muhammad Azka Zaki Muhammad Muharrom Al Haromainy Nurlaili, Afina Lina Pratama Wirya Atmaja Ramadhan, Ike Reyhan Jarsi Yoga Rizal Setya Perdana Rozi, Atiqur Sadrai, Maharani Putri Serlynda Dwi Rosalina Sri Indrawanti, Annisaa Sri Wibawani, Sri Subairi Subairi Sugiarto Syahrul Hidayat Taufikurrahman Taufikurrahman Utami, Hapsari Wiji Wibisono, Al Danny Rian Yisti Vita Via Yudha K., Dhian Satria