Publications

2025

• B. Prihasto, M. Farid, and R. A. Khairy, “Advancing Voice Anti-Spoofing Systems: Self-Supervised Learning and Indonesian Dataset Integration for Enhanced Generalization,” Brilliance: Research of Artificial Intelligence, vol. 4, no. 2, pp. 890–900, 2025.

• B. Prihasto, Y.-X. Lin, P. T. Le, J.-C. Wang, and C.-H. Wu, “CSA-VC: Contrastive Learning with Selective Attention in Non-parallel Voice Conversion,” IEEE Transactions on Audio, Speech and Language Processing, 2025.

• R. Mamola, S. D. Nurcholik, R. A. Prahmana, F. B. Juangsa, R. H. Pratama, B. Prihasto, S. Suardi, and D. S. Sa’adiyah, “PURE PALM OIL SPRAY CHARACTERISTICS OF DIESEL FUEL INJECTOR,” Jurnal Rekayasa Mesin, vol. 16, no. 1, pp. 383–390, 2025.

2024

• N. F. Azhar, B. Prihasto, and N. R. Salsabila, “Expert System for Diagnosing Plant-disturbing Organisms on Rice Plants Using the Euclidean Probability Method and Bayes Theorem with Forward Chaining Inference Technique,” SPECTA Journal of Technology, vol. 8, no. 3, pp. 250–260, 2024.

• B. Prihasto, M. I. Kamil, N. C. Febriandini, A. R. Pratama, K. Himawan, M. Akbar, A. R. Andarina, N. S. Edia, et al., “Pembelajaran Berbasis Teknologi dalam Meningkatkan Kemampuan dan Minat Belajar Anak Desa Sei Wain,” Ininnawa: Jurnal Pengabdian Masyarakat, vol. 2, no. 2, pp. 194–205, 2024.

• F. M. Alwafi, B. M. Pratama, P. T. Le, B. Prihasto, and J.-C. Wang, “Enhanced Detection of Illegally Parked Vehicles Using YOLO and Good Feature to Track Methods,” 2024.

• N. Tran, B. Prihasto, P. T. Le, T. Tran, C.-S. Lu, and J.-C. Wang, “EVA-ASCA: Enhancing Voice Anti-Spoofing through Attention-based Similarity Weights and Contrastive Negative Attractors,” in 2024 IEEE Conference on Artificial Intelligence (CAI), pp. 537–540, 2024.

• A. Reddy, B.-T. Pham, T.-Y. Zhuang, B. Prihasto, P.-C. Chang, and J.-C. Wang, “Leveraging Attention Mechanisms for Breast Cancer Diagnosis,” in 2024 APSIPA ASC, pp. 1–4, 2024.

2023

• B. Prihasto, Y.-X. Lin, P. T. Le, C.-L. Huang, and J.-C. Wang, “CNEG-VC: Contrastive Learning Using Hard Negative Example In Non-Parallel Voice Conversion,” in ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1–5, 2023.

• B. Prihasto, D. Darmansyah, D. P. Yuda, F. M. Alwafi, H. N. Ekawati, and Y. P. Sari, “Comparative Analysis of K-Means and K-Medoids Clustering Methods on Weather Data of Denpasar City,” Jurnal Pendidikan Multimedia (Edsence), vol. 5, no. 2, pp. 91–114, 2023.

• B. Prihasto, N. R. Fadhliana, A. Hariyani, F. M. Alwafi, and T. B. Askarin, “Development of Object Detection System on Non-Helmed Riders Using YOLOv8,” Jurnal Pendidikan Multimedia (EDSENCE), vol. 5, no. 2, pp. 79–90, 2023.

• I. Anggriani, R. B. Sukmara, B. Prihasto, and N. F. Azhar, “Pemanfaat Kecerdasan Buatan dalam Pengembangan Pembelajaran di Daerah Penyangga Ibukota Negara (IKN),” Ininnawa: Jurnal Pengabdian Masyarakat, vol. 1, no. 2, pp. 131–134, 2023.

2021

• B. Prihasto and N. F. Azhar, “Evaluation of recurrent neural network based on indonesian speech synthesis for small datasets,” Advances in Science and Technology, vol. 104, pp. 17–25, 2021.

• N. Fathurahmah, S. Pancahayani, A. N. Hasmi, and B. Prihasto, “Classification of security quality level using Fuzzy Logic study case: Balikpapan City,” Journal of Physics: Conference Series, vol. 1821, no. 1, p. 012043, 2021.

• S. Mujahidin, N. F. Azhar, and B. Prihasto, “Analysis of using regularization technique in the convolutional neural network architecture to detect paddy disease for small dataset,” Journal of Physics: Conference Series, vol. 1726, no. 1, p. 012010, 2021.

• N. F. Azhar, M. I. A. Putera, B. Prihasto, T. P. Fiqar, S. Mujahidin, et al., “Pendampingan pendidikan TIK pada masyarakat Desa Padang Pangrapat sebagai desa binaan untuk meningkatkan daya saing di era Society 5.0” in Seminar Nasional Pengabdian Kepada Masyarakat (SEPAKAT), vol. 2, 2021.

2016

• B. Prihasto, S. Choirunnisa, M. I. Nurdiansyah, S. Mathulaprangsan, V. C.-M. Chu, S.-H. Chen, and J.-C. Wang, “A survey of deep face recognition in the wild,” in 2016 International Conference on Orange Technologies (ICOT), pp. 76–79, 2016.

• A. Santoso, S. Choirunnisa, B. Prihasto, and J.-C. Wang, “Improving iris image segmentation in unconstrained environments using NMF-based approach,” in 2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), pp. 1–2, 2016.

2014

• B. Prihasto, M. I. Irawan, and A. Masduqi, “Fuzzy MADM Method for Decision Support System based on Artificial Neural Network to Water Quality Assessment in Surabaya River,” Journal of Soft Computing & Decision Support Systems, vol. 1, no. 1, 2014.

• B. Prihasto, M. I. Irawan, and A. Masduqi, “Pemodelan Jaringan Syaraf Tiruan Backpropagation untuk Simulasi Kualitas Air dan Daya Tampung Lingkungan di Kali Surabaya,” in Prosiding Seminar Nasional Matematika VII, pp. 247–260, 2014.

• B. Prihasto, M. I. Irawan, and A. Masduqi, “Klasifikasi Kelas Baku Mutu Kualitas Air Pada Tiap Lokasi Pemantauan di Kali Surabaya Menggunakan Jaringan Syaraf Tiruan Backpropagation,” in Prosiding Seminar Nasional Teknologi Lingkungan XI 2014, pp. 131–139, 2014.