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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Information Technology and Telematics Dinamik Jurnal Ilmiah Dinamika Teknik Pixel : Jurnal Ilmiah Komputer Grafis Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Bulletin of Electrical Engineering and Informatics International Journal of Advances in Intelligent Informatics Seminar Nasional Informatika (SEMNASIF) Proceeding SENDI_U Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Universitas Batanghari Jambi JURNAL ILMIAH INFORMATIKA Jurnal Teknoinfo Jurnal Teknik Informatika UNIKA Santo Thomas IKRA-ITH ABDIMAS Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Building of Informatics, Technology and Science Jurnal Mantik Progresif: Jurnal Ilmiah Komputer Jurnal Abdi Insani Indonesian Journal of Electrical Engineering and Computer Science Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) JINAV: Journal of Information and Visualization INTELEKTIVA Advance Sustainable Science, Engineering and Technology (ASSET) Journal of Applied Sciences, Management and Engineering Technology (JASMET) Bulletin of Information Technology (BIT) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Masyarakat Waradin Jurnal INFOTEL Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat
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Journal : Bulletin of Electrical Engineering and Informatics

Robust Watermarking through Dual Band IWT and Chinese Remainder Theorem Prajanto Wahyu Adi; Farah Zakiyah Rahmanti; Edy Winarno
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v7i4.690

Abstract

CRT was a widely used algorithm in the development of watermarking methods. The algorithm produced good image quality but it had low robustness against compression and filtering. This paper proposed a new watermarking scheme through dual band IWT to improve the robustness and preserving the image quality. The high frequency sub band was used to index the embedding location on the low frequency sub band. In robustness test, the CRT method resulted average NC value of 0.7129, 0.4846, and 0.6768 while the proposed method had higher NC value of 0.7902, 0.7473, and 0.8163 in corresponding Gaussian filter, JPEG, and JPEG2000 compression test. Meanwhile the both CRT and proposed method had similar average SSIM value of 0.9979 and 0.9960 respectively in term of image quality. The result showed that the proposed method was able to improve the robustness and maintaining the image quality.
Enhanced multi-lingual Twitter sentiment analysis using hyperparameter tuning k-nearest neighbors Nugroho, Kristiawan; Winarno, Edy; Setiadi, De Rosal Ignatius Moses; Farooq, Omar
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.7265

Abstract

Social media is a medium that is often used by someone to express themselves. These various problems on social media have encouraged research in sentiment analysis to become one of the most popular research fields. Various methods are used in sentiment analysis research, ranging from classic machine learning (ML) to deep learning. Researchers nowadays often use deep learning methods in sentiment analysis research because they have advantages in processing large amounts of data and providing high accuracy. However, deep learning also has limitations on the longer computational side due to the complexity of its network architecture. K-nearest neighbor (KNN) is a robust ML method but does not yet provide high-accuracy results in multi-lingual sentiment analysis research, so a hyperparameter tuning KNN approach is proposed. The results showed that using the proposed method, the accuracy level improved to 98.37%, and the classification error (CE) improved to 1.63%. The model performed better than other ML and even deep learning methods. The results of this study indicate that KNN using hyperparameter tuning is a method that contributes to the sentiment analysis classification model using the Twitter dataset.
Enhanced Semarang batik classification using deep learning: a comparative study of CNN architectures Winarno, Edy; Solichan, Achmad; Putra Ramdani, Aditya; Hadikurniawati, Wiwien; Septiarini, Anindita; Hamdani, Hamdani
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9347

Abstract

Batik is an important part of Indonesia’s cultural heritage, with each region producing unique designs. In Central Java, Semarang is known for its distinctive batik patterns that reflect rich local traditions. However, many people are still unfamiliar with these designs, which threatens their preservation. This study develops an automated system to classify Semarang batik patterns, showing how technology can help safeguard cultural heritage. A convolutional neural network (CNN) approach was used to recognize ten batik types, including Asem Arang, Asem Sinom, Asem Warak, Blekok, Blekok Warak, Gambang Semarangan, and Kembang Sepatu. Pre-processing steps—such as image resizing, cropping, flipping, and rotation—improved model performance and reduced complexity. Five CNN architectures (MobileNetV2, ResNet-50, DenseNet-121, VGG-16, and EfficientNetB4) were tested using 224×224 input size, Adam optimizer, ReLU activation, and categorical cross-entropy loss. Results show VGG-16, ResNet-50, and DenseNet-121 achieved perfect accuracy (1.0) on a dataset of 3,000 locally collected images. These findings highlight CNN models’ strong potential for batik pattern recognition, supporting digital preservation of Indonesian culture.
Co-Authors Achmad Solichan Aditya Putra Ramdani Agus Harjanto Agus Harjoko Agus Harjoko Agus Prasetyo Ahmad Samsul Muarif Ainun Nirwanto, Ahmad Aji Supriyanto Al Amin, Muhammad Zainudin Alam, Sitti Nur Aniati Murni Arymurthy Anindita Septiarini, Anindita Anindita Septirini Anwar, Muchamad Taufiq Arief Jananto Basirudin Ansor Bernadus Gunawan Sudarsono budi hartono Budi Hartono De Rosal Ignatius Moses Setiadi Deva Ega Marinda Devie, Erviana Dewi Handayani Untari Ningsih DEWI RAHMAWATI DHINI AMINATI NURHASANAH Dian Kristiawan Nugroho DIAS AYU LISTYORINI Diaz Aditya Dwi Budi Santoso Dwi Cahyono, Taufiq Eddy Nurraharjo Edwin Febriansyah Eka Ardhianto Eko Adi Sarwoko EngMarkiano Solissa, Everhard Eri Zuliarso Erviana Devie Fadli, Bimo Akbar Fahri Fahri Fajri, Muhamad Mushfa Hikmatal Farah Zakiyah Rahmanti Farooq, Omar Fatchurohman, Dedi Fatkhul Amin Fatkhul Amin Febyliana, Eva Ferda Ernawan Firman Aziz Gilang Fadhillah Ramadhan Hamdani Hamdani Hamdani Hamdani Hamdani Hamdani Hamid Wijaya Heri Purwanto Herny Februariyanti Hersatoto Listiyono Heru Sigit Purwanto Ibnu Halim Mustofa Imam Husni Al Amin Iwan Adhicandra Karima Elsami KHUSNUL WIBI PRASETYO Kraugusteeliana Kraugusteeliana Kurniawan, Oki Liew, Siau-Chuin Maratun Nafiah Masa, Amin Padmo Azam Muchamad Sobri Sungkar Muji Sukur Naimatul Husna Nova Christina Sari NURDIYANTO, ARIF Nurdiyanto, Arif Prajanto Wahyu Adi Prajanto Wahyu Adi, Prajanto Wahyu Pratomo, Septyo Uji Purwatiningtyas Purwatiningtyas Putra Ramdani, Aditya Rahardika, Anindyta Fernanda Safitri, Unna Ria Sari, Artini Ratna Setyawan Wibisono Setyawan Wibisono Siti Aisyah Sri Hartati Sulaksono, Aryo Windu Rahman Sulaksono, Aryo Windu Rahman Sunardi Sunardi Suryani Suryani Taufiq Dwi Cahyono Veronica Lusiana Warkianto Widjaja Wijayanti, Tri Cicik Winarko, Edi WINDU RAHMAN SULAKSONO, ARYO Wiwien Hadikurniawati Zen, Agustian Zuly Budiarso