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ORCIDDedy Rahman Wijaya
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2020 – today
- 2024
[j10]Tora Fahrudin, Dedy Rahman Wijaya:
New custom rating for improving recommendation system performance. J. Big Data 11(1): 91 (2024)- 2023
- [j9]Raden Budiraharjo
, Riyanarto Sarno, Dedy Rahman Wijaya, Hanung Nindito Prasetyo, Indra Waspada:
IMARA: A New Approach to Multi-Attribute Risk Assessment Based on Event Data Weighting (Case Study in a Container Terminal). IEEE Access 11: 62292-62306 (2023) - [j8]Dedy Rahman Wijaya, Nailatul Fadhilah Syarwan, Muhammad Agus Nugraha, Dahliar Ananda, Tora Fahrudin, Rini Handayani:
Seafood Quality Detection Using Electronic Nose and Machine Learning Algorithms With Hyperparameter Optimization. IEEE Access 11: 62484-62495 (2023) - [j7]Hanung Nindito Prasetyo, Riyanarto Sarno, Dedy Rahman Wijaya, Raden Budiraharjo, Indra Waspada, Kelly Rossa Sungkono, Abdullah Faqih Septiyanto:
Optimizing Decision Making on Business Processes Using a Combination of Process Mining, Job Shop, and Multivariate Resource Clustering. Appl. Comput. Intell. Soft Comput. 2023: 3392012:1-3392012:14 (2023) - [d3]Dedy Rahman Wijaya:
Electronic nose data set for seafood quality assessment. IEEE DataPort, 2023
- 2022
- [j6]Dedy Rahman Wijaya, Ni Luh Putu Satyaning Pradnya Paramita, Ana Uluwiyah, Muhammad Rheza, Annisa Zahara, Dwi Rani Puspita:
Estimating city-level poverty rate based on e-commerce data with machine learning. Electron. Commer. Res. 22(1): 195-221 (2022) - [j5]Rathimala Kannan, Haq'ul Aqif Abdul Halim, Kannan Ramakrishnan, Shahrinaz Ismail, Dedy Rahman Wijaya:
Machine learning approach for predicting production delays: a quarry company case study. J. Big Data 9(1): 94 (2022) - [d2]Riyanarto Sarno, Dedy Rahman Wijaya, Shoffi Izza Sabilla:
The dataset for pork adulteration from electronic nose system. IEEE DataPort, 2022 - [d1]Dedy Rahman Wijaya:
Dataset for electronic nose from various beef cuts. IEEE DataPort, 2022 - 2021
- [c1]Sari Dewi Budiwati, Tirana Fatyanosa, Mahendra Data, Dedy Rahman Wijaya, Patrick Adolf Telnoni, Arie Ardiyanti Suryani, Agus Pratondo, Masayoshi Aritsugi:
To Optimize, or Not to Optimize, That Is the Question: TelU-KU Models for WMT21 Large-Scale Multilingual Machine Translation. WMT@EMNLP 2021: 387-397 - 2020
- [j4]Dedy Rahman Wijaya, Farah Afianti:
Stability Assessment of Feature Selection Algorithms on Homogeneous Datasets: A Study for Sensor Array Optimization Problem. IEEE Access 8: 33944-33953 (2020) - [j3]Riyanarto Sarno, Kuwat Triyana, Shoffi Izza Sabilla, Dedy Rahman Wijaya, Dwi Sunaryono, Chastine Fatichah:
Detecting Pork Adulteration in Beef for Halal Authentication Using an Optimized Electronic Nose System. IEEE Access 8: 221700-221711 (2020)
2010 – 2019
- 2019
- [j2]Dedy Rahman Wijaya, Riyanarto Sarno, Enny Zulaika:
Noise filtering framework for electronic nose signals: An application for beef quality monitoring. Comput. Electron. Agric. 157: 305-321 (2019) - 2018
- [j1]Riyanarto Sarno, Johanes Andre Ridoean, Dwi Sunaryono, Dedy Rahman Wijaya:
Classification of Music Mood Using MPEG-7 Audio Features and SVM with Confidence Interval. Int. J. Artif. Intell. Tools 27(5): 1850016:1-1850016:18 (2018)
Coauthor Index
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