Aims & Scope

DATARIVER: Nusantara Journal of Data Science and Big Data Analytics publishes original research and applied studies in machine learning, big data analytics and natural language processing, including work on Indonesian and regional languages and on responsible, explainable data science.

Scope

• Machine Learning MethodsSupervised, unsupervised and self-supervised learning, evaluation and benchmarking.
• Big Data InfrastructureData lakes, stream processing, distributed storage and pipelines.
• NLP for Indonesian & Regional LanguagesCorpora, language models, translation and speech for low-resource languages.
• Time Series & ForecastingDemand, climate and financial forecasting, anomaly detection.
• Data Mining & Knowledge DiscoveryPattern mining, recommender systems, graph analytics.
• Responsible & Explainable AIFairness, interpretability, privacy-preserving analytics and data governance.

Article Types

• Original Research Articles — 6,000–9,000 words.
• Review / Survey Articles — systematic or critical reviews.
• Short Communications — novel preliminary results, up to 4,000 words.