Andi Sunyoto

📑 Artikel Jurnal (Scopus/Sinta)

• Pristyanto, Y., Nugraha, A. F., Wulansari, B., Sulistiyono, M., & Sunyoto, A. (2025). Enhancement of machine learning models using intersection filtering model based on recursive feature elimination on specified Android malware classification. International Journal of Intelligent Engineering and Systems, 18(3), 836–852. https://doi.org/10.22266/ijies2025.0430.56

• Mulyawan, R., Sunyoto, A., & Muhammad, A. H. (2023). Pre-trained CNN architecture analysis for transformer-based Indonesian image caption generation model. International Journal on Informatics Visualization, 7(2), 487–493. https://doi.org/10.30630/joiv.7.2.1387

• Suyanto, S., Sunyoto, A., Ismail, R. N., Romadhony, A., & Sthevanie, F. (2022). Augmented-syllabification of n-gram tagger for Indonesian words and named-entities. Heliyon, 8(11), e11922. https://doi.org/10.1016/j.heliyon.2022.e11922

• Sunyoto, A., Pristyanto, Y., Setyanto, A., Alarfaj, F., Almusallam, N., & Alreshoodi, M. (2022). The performance evaluation of transfer learning VGG16 algorithm on various chest X-ray imaging datasets for COVID-19 classification. International Journal of Advanced Computer Science and Applications, 13(9), 196–203. https://doi.org/10.14569/IJACSA.2022.0130923

• Adi, S., Hikmah, A., Sari, B. W., Sunyoto, A., Yaqin, A., & Hayaty, M. (2022). The best techniques to deal with unbalanced sequential text data in deep learning. International Journal of Advanced Computer Science and Applications, 13(11), 664–669. https://doi.org/10.14569/IJACSA.2022.0131177

• Suyanto, S., Sunyoto, A., Ismail, R. N., Rachmawati, E., & Maharani, W. (2022). Stemmer and phonotactic rules to improve n-gram tagger-based Indonesian phonemicization. Journal of King Saud University – Computer and Information Sciences, 34(6), 3807–3814. https://doi.org/10.1016/j.jksuci.2021.01.006

• Sunyoto, A., & Hanafi. (2022). Enhance intrusion detection (IDS) system using deep SDAE to increase effectiveness of dimensional reduction in machine learning and deep learning. International Journal of Intelligent Engineering and Systems, 15(4), 125–141. https://doi.org/10.22266/ijies2022.0831.13

• Septiarini, A., Sunyoto, A., Hamdani, H., Kasim, A. A., Utaminingrum, F., & Hatta, H. R. (2021). Machine vision for the maturity classification of oil palm fresh fruit bunches based on color and texture features. Scientia Horticulturae, 286, 110245. https://doi.org/10.1016/j.scienta.2021.110245

• Hamdani, H., Septiarini, A., Sunyoto, A., Suyanto, S., & Utaminingrum, F. (2021). Detection of oil palm leaf disease based on color histogram and supervised classifier. Optik, 245, 167753. https://doi.org/10.1016/j.ijleo.2021.167753

• Julianto, A., & Sunyoto, A. (2021). A performance evaluation of convolutional neural network architecture for classification of rice leaf disease. IAES International Journal of Artificial Intelligence, 10(4), 1069–1078. https://doi.org/10.11591/ijai.v10.i4.pp1069-1078

• Sunyoto, A., Harjoko, A., Wardoyo, R., & Hariadi, M. (2020). Wrist detection based on a minimum bounding box and geometric features. Journal of King Saud University – Computer and Information Sciences, 32(2), 208–215. https://doi.org/10.1016/j.jksuci.2018.05.005

• Syarif, R., Sunyoto, A., & Nasiri, A. (2022). Deteksi skema ponzi pada blockchain menggunakan algoritma AdaBoost. Technologia: Jurnal Ilmiah, 13(2), 96–101. https://doi.org/10.31602/tji.v13i2.6338

• Afriansyah, M., Sunyoto, A., & Nasiri, A. (2020). Evaluasi kualitas website pemerintah daerah dengan menggunakan WebQual 4.0 pada instansi pemerintahan ABC. Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN), 8(2), [halaman tidak tersedia]. https://doi.org/10.30646/tikomsin.v8i2.468

📑 Artikel Prosiding (Scopus)

• Wibowo, F. W., Setyaji, B., Sunyoto, A., Dahlan, A., & Wihayati, W. (2025). Internet of Things attack detection based on K-nearest neighbor and linear discriminant analysis optimized with chimpanzee leader election optimization. 2025 International Conference on Computer Sciences, Engineering, and Technology Innovation (ICoCSETI), 513–518. https://doi.org/10.1109/ICoCSETI63724.2025.11019138

• Wibowo, F. W., Sunyoto, A., Setyaji, B., & Wihayati, W. (2024). Analysis of round-robin and random scheduling algorithms on sensor node activation towards latency of wireless sensor network. 2024 International Conference on Information and Communications Technology (ICOIACT), 304–309. https://doi.org/10.1109/ICOIACT64819.2024.10913412

• Noviyanto, N., Sunyoto, A., & Ariatmanto, D. (2024). Innovative solutions for bean leaf disease detection using deep learning. 2024 International Conference on Artificial Intelligence and Mechatronics System (AIMS), [hal. tidak tersedia]. https://doi.org/10.1109/AIMS61812.2024.10512726

• Rudiyanto, R., Setyanto, A., Kusnawi, K., & Sunyoto, A. (2024). Comparative study SVM and random forest algorithms for the classification of terrestrial visual rock types. IOP Conference Series: Earth and Environmental Science, 1357(1), 012036. https://doi.org/10.1088/1755-1315/1357/1/012036

• Hadi, Z., & Sunyoto, A. (2023). Detecting fake reviews using n-gram model and chi-square. 2023 6th International Conference on Information and Communications Technology (ICOIACT), 454–458. https://doi.org/10.1109/ICOIACT59844.2023.10455895

• Sitorus, F. P., Sunyoto, A., & Setyaji, B. (2023). Forest fire disaster classification using artificial neural network method. 2023 6th International Conference on Information and Communications Technology (ICOIACT), 194–199. https://doi.org/10.1109/ICOIACT59844.2023.10455926

• Iriawan, A. D., & Sunyoto, A. (2023). Automatic license plate recognition system in Indonesia using YOLOv8 and EasyOCR algorithm. 2023 6th International Conference on Information and Communications Technology (ICOIACT), 384–388. https://doi.org/10.1109/ICOIACT59844.2023.10455908

• Kusumastuti, R., & Sunyoto, A. (2023). Skin cancer classification using EfficientNetV2 and ViT-B16. 2023 6th International Conference on Information and Communications Technology (ICOIACT), 395–400. https://doi.org/10.1109/ICOIACT59844.2023.10455921

• Asrawi, H., Sunyoto, A., & Setyaji, B. (2023). Implementation of bidirectional gated recurrent units for text classification. 2023 6th International Conference on Information and Communications Technology (ICOIACT), 464–469. https://doi.org/10.1109/ICOIACT59844.2023.10455822

• Irawanto, I., Sunyoto, A., & Setyaji, B. (2023). Deep learning-based car detection system using convolutional neural network and Haar cascade classifier. 2023 6th International Conference on Information and Communications Technology (ICOIACT), 389–394. https://doi.org/10.1109/ICOIACT59844.2023.10455934

• Zakaria, & Sunyoto, A. (2023). Hybrid sentiment analysis: Majority voting with multinomial Naive Bayes and logistic regression on IMDB dataset. 2023 6th International Conference on Information and Communications Technology (ICOIACT), 448–453. https://doi.org/10.1109/ICOIACT59844.2023.10455937

• Anggriandi, D., & Sunyoto, A. (2023). Multi-class classification of skin diseases using ResNet50. 2023 6th International Conference on Information and Communications Technology (ICOIACT), 349–354. https://doi.org/10.1109/ICOIACT59844.2023.10455953

• Auliyah, U. A., & Sunyoto, A. (2023). A multi-scalar SPEI drought index prediction using long short-term memory. 2023 6th International Conference on Information and Communications Technology (ICOIACT), 343–348. https://doi.org/10.1109/ICOIACT59844.2023.10455932

• Diffran Nur Cahyo, D., Sunyoto, A., & Ariatmanto, D. (2023). Transfer learning and fine-tuning effect analysis on classification of cat breeds using a convolutional neural network. 2023 6th International Conference on Information and Communications Technology (ICOIACT), 488–493. https://doi.org/10.1109/ICOIACT59844.2023.10455771

• Sunyoto, A., Pristyanto, Y., & Nugraha, A. F. (2023). Enhanced classification of potato leaf disease using Xception and ReduceLROnPlateau callbacks. 2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), 52–57. https://doi.org/10.1109/IoTaIS60147.2023.10346045

• Setiani, R., Nugraha, A. F., Sunyoto, A., & Pristyanto, Y. (2023). Improving classification model for potato leaf disease detection process using deep learning-based MobileNet architecture. 2023 International Conference on Informatics, Multimedia, Cyber and Information Systems (ICIMCIS), 171–176. https://doi.org/10.1109/ICIMCIS60089.2023.10349087

• Ihsan, M. F., Sunyoto, A., & Arief, M. R. (2022). Gray level co-occurrence matrix algorithm and backpropagation neural networks for herbal plants identification. ICOIACT 2022 – 5th International Conference on Information and Communications Technology, 373–378. https://doi.org/10.1109/ICOIACT55506.2022.9972087

• Mulyawan, R., Sunyoto, A., & Muhammad, A. H. (2022). Automatic Indonesian image captioning using CNN and transformer-based model approach. ICOIACT 2022 – 5th International Conference on Information and Communications Technology, 355–360. https://doi.org/10.1109/ICOIACT55506.2022.9971855

• Atika, E. P., Sunyoto, A., & Luthfi, E. T. (2022). Genetic algorithm and K-nearest neighbors for oil palm leaf disease classification. ICOIACT 2022 – 5th International Conference on Information and Communications Technology, 447–451. https://doi.org/10.1109/ICOIACT55506.2022.9971854

• Subagyo, A., Sunyoto, A., & Prasetio, A. B. (2022). Prediction of the spread of COVID-19 in Indonesia using the SEIRD model and hybrid model with ARIMA correction. APICS 2022 – 1st International Conference on Smart Technology, Applied Informatics, and Engineering, 199–204. https://doi.org/10.1109/APICS56469.2022.9918765

• Mimboro, P., Sunyoto, A., & Kharisma, R. S. (2021). Segmentation of brain tumor objects in magnetic resonance imaging (MRI) image using connected component label algorithm. 2021 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA), 195–198. https://doi.org/10.1109/ICAMIMIA54022.2021.9807692

• Gifari, O. I., Agus, F., Ramadiani, R., Azhari, M., & Sunyoto, A. (2021). Diagnose pest and disease of black orchid plant using Naive Bayes method. 2021 IEEE 7th Information Technology International Seminar (ITIS), [hal. tidak tersedia]. https://doi.org/10.1109/ITIS53497.2021.9791647

• Chitayae, N., & Sunyoto, A. (2020). Performance comparison of mushroom types classification using K-nearest neighbor method and decision tree method. 2020 3rd International Conference on Information and Communications Technology (ICOIACT), 308–313. https://doi.org/10.1109/ICOIACT50329.2020.9332148

• Agustin, T., & Sunyoto, A. (2020). Optimization convolutional neural network for classification diabetic retinopathy severity. 2020 3rd International Conference on Information and Communications Technology (ICOIACT), 66–71. https://doi.org/10.1109/ICOIACT50329.2020.9332087

• Akbar, N. A., Sunyoto, A., Arief, M. R., & Caesarendra, W. (2020). Improvement of decision tree classifier accuracy for healthcare insurance fraud prediction by using extreme gradient boosting algorithm. Proceedings of the 2nd International Conference on Informatics, Multimedia, Cyber, and Information System (ICIMCIS 2020), 110–114. https://doi.org/10.1109/ICIMCIS51567.2020.9354286

• Rozaqi, A. J., & Sunyoto, A. (2020). Identification of disease in potato leaves using convolutional neural network (CNN) algorithm. 2020 3rd International Conference on Information and Communications Technology (ICOIACT), 72–76. https://doi.org/10.1109/ICOIACT50329.2020.9332037

• James, R. M., & Sunyoto, A. (2020). Detection of CT-scan lungs COVID-19 image using convolutional neural network and CLAHE. 2020 3rd International Conference on Information and Communications Technology (ICOIACT), 302–307. https://doi.org/10.1109/ICOIACT50329.2020.9332069

• Aji, L. I. P., & Sunyoto, A. (2020). An implementation of C4.5 classification algorithm to analyze students’ performance. 2020 3rd International Conference on Information and Communications Technology (ICOIACT), 126–130. https://doi.org/10.1109/ICOIACT50329.2020.9332088

• Widyowaty, D. S., & Sunyoto, A. (2020). Accent recognition by native language using Mel-frequency cepstral coefficient and K-nearest neighbor. 2020 3rd International Conference on Information and Communications Technology (ICOIACT), 314–318. https://doi.org/10.1109/ICOIACT50329.2020.9332026

• Adi, S., Pristyanto, Y., & Sunyoto, A. (2019). The best features selection method and relevance variable for web phishing classification. 2019 International Conference on Information and Communications Technology (ICOIACT), 578–583. https://doi.org/10.1109/ICOIACT46704.2019.8938566

• Sari, E. Y., Kusrini, & Sunyoto, A. (2019). Optimization of weight backpropagation with particle swarm optimization for student dropout prediction. 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), 423–428. https://doi.org/10.1109/ICITISEE48480.2019.9004032

• Wierfi, A. D., Utami, E., & Sunyoto, A. (2019). The application of extended weighted tree similarity algorithm for similarity searching. 2019 International Conference on Information and Communications Technology (ICOIACT), 428–433. https://doi.org/10.1109/ICOIACT46704.2019.8938468

• Amanullah, R. F., Utami, E., & Sunyoto, A. (2019). Citation detection on scientific journal using support vector machine. 2019 International Conference on Information and Communications Technology (ICOIACT), 549–553. https://doi.org/10.1109/ICOIACT46704.2019.8938522

• Pujianto, A., Kusrini, & Sunyoto, A. (2018). Designing decision support system for scholarship prediction using adaptive neuro fuzzy inference system algorithm. Journal of Physics: Conference Series, 1140(1), 012049. https://doi.org/10.1088/1742-6596/1140/1/012049

• nal Conference on Artificial Intelligence and Mechatronics System (AIMS 2024).

• Rudiyanto, [Nama Penulis Tambahan], & Sunyoto, A. (2024). Comparative study SVM and random forest algorithms for the classification of terrestrial visual rock types. IOP Conference Series: Earth and Environmental Science, 1234(1), [halaman].

🔬 Penelitian

• Optimasi Komunikasi Antar Agen Jaringan Sensor Nirkabel untuk Lahan Pertanian Sekitar Pesisir Menggunakan Internet of Things
  Ketua: Ferry Wahyu Wibowo
  Anggota: Bayu Setiaji; Andi Sunyoto
  2024 — Rp 418.110.000 — Penelitian Kompetitif Nasional (PTB)

• Explainable Artificial Intelligence untuk Deep Learning Berbasis Deteksi Penyakit Daun Kentang
  Ketua: Andi Sunyoto
  Anggota: Mulia Sulistiyono; Anggit Ferdita Nugraha
  2024 — Rp 118.060.000 — PFR

• Sistem Deteksi Penyakit Tanaman Kentang Berdasarkan Citra Daun Berbasis Deep Learning untuk Mendukung Pertanian Cerdas
  Ketua: Andi Sunyoto
  Anggota: Yoga Pristyanto; Anggit Ferdita Nugraha
  2022–2023 — Rp 147.635.000 (2023), Rp 160.000.000 (2022) — PTUPT

• Identifikasi Penyakit Daun Kentang Menggunakan Artificial Intelligence
  Ketua: Andi Sunyoto
  2022 — Rp 15.000.000 — Internal Unggulan (IPU)

• Deteksi COVID-19 pada Citra X-ray Paru-Paru Menggunakan Convolutional Neural Network
  Ketua: Andi Sunyoto
  2020 — Rp 15.000.000 — Internal Unggulan (IPU)

• Otomatisasi Deteksi Jari Menggunakan Pendekatan Sendi Metacarpophalangeal dan Fitur Geometri untuk Pengenalan Gestur Tangan
  Ketua: Andi Sunyoto
  2017 — Rp 52.500.000 — PPS-PDD

🌱 Pengabdian Masyarakat / HKI / Buku

• Pengabdian: Pemanfaatan Teknologi Visual dan Multimedia di Lingkungan Ditbinmas Polda DIY (2022); Pemanfaatan Teknologi AR membantu proses belajar anak usia dini di masa pandemi (2021)

• HKI: Model Augmentasi Data Citra Daun Kentang (2022), Deteksi Penyakit Tanaman Kentang dengan InceptionV3 (2022), dan beberapa lainnya; semua granted atau status resmi.

• Buku: Evolutionary Machine Learning – Pembelajaran Mesin Otonom Berbasis Komputasi Evolusioner (2020) dan beberapa buku ajar/teknis lainnya oleh Andi Sunyoto.