Dedy Rahman Wijaya - School of Applied Sciences, Telkom University

基本信息

Career Trajectory

Bio

Dedy Rahman Wijaya (Member, IEEE) received the bachelor’s degree in informatics engineering from STT Telkom Bandung, Bandung, Indonesia, in 2006, the M.Eng. degree from the School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, in 2010, and the Ph.D. degree in computer science from the Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia, in 2019. He currently works as a Lecturer, a Researcher, and an Associate Professor with the School of Applied Science, Telkom University, Bandung. His research interests focus on cyber-physical systems, intelligent systems, information and signal processing, machine learning, and their various applications.

Research Interests

Papers共 80 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Electronic Nose and Optimized Machine Learning Algorithms for Noninfused Aroma-Based Quality Identification of Gambung Green Tea

Dedy Rahman Wijaya,Rini Handayani,Tora Fahrudin,Guntur Prabawa Kusuma,Farah Afianti

IEEE SENSORS JOURNALno. 2 (2024): 1880-1893

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Hotel Reservation Cancellation Prediction using Boosting Model

Yopi Yuda Febrian,Dedy Rahman Wijaya,Ersy Ervina

2024 2nd International Conference on Software Engineering and Information Technology (ICoSEIT)pp.138-143, (2024)

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New custom rating for improving recommendation system performance

Tora Fahrudin,Dedy Rahman Wijaya

Journal of Big Data（2024）

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Poverty prediction using E-commerce dataset and filter-based feature selection approach

Dedy Rahman Wijaya, Raden Ilham Fadhilah Ibadurrohman,Elis Hernawati,Wawa Wikusna

Scientific Reportsno. 1 (2024): 1-13

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Strengthening the Integrity of Forwarding First Communication Using Forward Key Chain and Bloom Filter in the Wireless Sensor Networks

Muhammad Taqqyyudin Ilham Ramadhan,Farah Afianti,Bambang Ari Wahyudi,Prasti Eko Yunanto,Dedy Rahman Wijaya

Journal of Computer Scienceno. 3 (2023): 305-314

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Seafood Quality Detection Using Electronic Nose and Machine Learning Algorithms With Hyperparameter Optimization

Dedy Rahman Wijaya, Nailatul Fadhilah Syarwan, Muhammad Agus Nugraha, Dahliar Ananda,Tora Fahrudin,Rini Handayani

IEEE Access (2023): 62484-62495

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Prosiding Use Cases Artificial Intelligence Indonesia: Embracing Collaboration for Research and Industrial Innovation in Artificial Intelligence

Muhammad Ghifary, Muhammad Aldo Aditiya Nugroho, Billy Barokah,Ayu Purwarianti, Cahyono Tri Birowo, Imam Machdi,Ford Lumban Gaol, I Ketut Eddy Purnama, Oskar Riandi, Tauhid Nur Azhar,Anis Herliyati Mahsunah, Agustan Agustan,

Penerbit BRIN eBooks (2023)

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Poverty Level Forecasting Based on Time Series Data Using BATS Algorithm

Beta Dwi Nugraheni,Dedy Rahman Wijaya, Budhy Aditya Hadie

Advances in Social Science, Education and Humanities Research Proceedings of the International Conference on Vocational Education Applied Science and Technology (ICVEAST 2023)pp.447-455, (2023)

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Optimizing Decision Making on Business Processes Using a Combination of Process Mining, Job Shop, and Multivariate Resource Clustering

Hanung Nindito Prasetyo,Riyanarto Sarno,Dedy Rahman Wijaya,Raden Budiraharjo,Indra Waspada,Kelly Rossa Sungkono,Abdullah Faqih Septiyanto

APPLIED COMPUTATIONAL INTELLIGENCE AND SOFT COMPUTING（2023）

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Comparison of Bandung Social Media-based Sentiment Classifier using Multinomial Logistic Regression and Gradient Boosting Models

Rizka Fadhilah,Sari Dewi Budiwati,Dedy Rahman Wijaya, Pangesti Rio Oktranida, Zalid Qomalita Hijriana,Arif Firmansyah

2023 International Conference on Data Science and Its Applications (ICoDSA)pp.83-87, (2023)

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