Classification of Music Mood Using MPEG-7 Audio Features and SVM with Confidence Interval. - Riyanarto Sarno; Johanes Andre Ridoean; Dwi Sunaryono; Dedy Rahman Wijaya (Int. J. Artif. Intell. Tools, 2018)

Noise filtering framework for electronic nose signals: An application for beef quality monitoring. - Dedy Rahman Wijaya; Riyanarto Sarno; Enny Zulaika (Comput. Electron. Agric., 2019)

Detecting Pork Adulteration in Beef for Halal Authentication Using an Optimized Electronic Nose System. - Riyanarto Sarno; Kuwat Triyana; Shoffi Izza Sabilla; Dedy Rahman Wijaya; Dwi Sunaryono; Chastine Fatichah (IEEE Access, 2020)

Stability Assessment of Feature Selection Algorithms on Homogeneous Datasets: A Study for Sensor Array Optimization Problem. - Dedy Rahman Wijaya; Farah Afianti (IEEE Access, 2020)

To Optimize, or Not to Optimize, That Is the Question: TelU-KU Models for WMT21 Large-Scale Multilingual Machine Translation. - Sari Dewi Budiwati; Tirana Fatyanosa; Mahendra Data; Dedy Rahman Wijaya; Patrick Adolf Telnoni; Arie Ardiyanti Suryani; Agus Pratondo; Masayoshi Aritsugi (WMT@EMNLP, 2021)

Estimating city-level poverty rate based on e-commerce data with machine learning. - Dedy Rahman Wijaya; Ni Luh Putu Satyaning Pradnya Paramita; Ana Uluwiyah; Muhammad Rheza; Annisa Zahara; Dwi Rani Puspita (Electron. Commer. Res., 2022)

Machine learning approach for predicting production delays: a quarry company case study. - Rathimala Kannan; Haq'ul Aqif Abdul Halim; Kannan Ramakrishnan; Shahrinaz Ismail; Dedy Rahman Wijaya (J. Big Data, 2022)

The dataset for pork adulteration from electronic nose system. - Riyanarto Sarno; Dedy Rahman Wijaya; Shoffi Izza Sabilla (IEEE DataPort, 2022)

Dataset for electronic nose from various beef cuts. - Dedy Rahman Wijaya (IEEE DataPort, 2022)

IMARA: A New Approach to Multi-Attribute Risk Assessment Based on Event Data Weighting (Case Study in a Container Terminal). - Raden Budiraharjo; Riyanarto Sarno; Dedy Rahman Wijaya; Hanung Nindito Prasetyo; Indra Waspada (IEEE Access, 2023)

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)

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 (Appl. Comput. Intell. Soft Comput., 2023)

Electronic nose data set for seafood quality assessment. - Dedy Rahman Wijaya (IEEE DataPort, 2023)

Crab Quality Detection with Gas Sensors Using a Machine Learning. - Laksamana Mikhail Hermawan; Ledya Novamizanti; Dedy Rahman Wijaya (IoTaIS, 2024)

New custom rating for improving recommendation system performance. - Tora Fahrudin; Dedy Rahman Wijaya (J. Big Data, 2024)

A Portable Real-Time Electronic Nose for Evaluating Seafood Freshness Using Machine Learning. - Muhammad Rafi Mahfuz Setyagraha; Hurul Aini Nurqamaradillah; Laksamana Mikhail Hermawan; Nyoman Raflly Pratama; Ledya Novamizanti; Dedy Rahman Wijaya (IEEE Access, 2025)