Author

Taufik Djatna

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Open access Oct 2026

MangoVQA: A Multi-Answer Visual Question Answering System for Grading SNI-Aligned Mango Quality using Deep Learning and Text Processing

Visual Question Answering (VQA), a multimodal AI task combining computer vision and language understanding, answers text-based questions about visual content. Although VQA has developed rapidly, most existing approaches assume a single correct answer, whereas real-world images often require several valid answers simult...

Nida Hasanati, Taufik Djatna, I. S. Sitanggang et al. · Applied Information System a... · 0 citations

Review Open access Aug 2026

A Model-Based System Engineering and Blockchain-IPFS Framework for Enhancing Decision-Making in National Engineering Accreditation Systems Pines

Indonesia's national engineering accreditation system faces systemic inefficiencies, governance limitations, and data integrity challenges that hinder international recognition under the Washington Accord and impede the global mobility of engineering graduates. These shortcomings are compounded by fragmented audit trai...

Taufik Djatna · Journal of Intelligent Decis... · 0 citations

#graph neural networks Review Open access Sep 2026

Exploring multi-answer visual question answering with object detection: a systematic review

This systematic literature review (SLR) focuses on multi answer VQA systems and the use of object detection, following the PRISMA 2020 guidelines and proposes a taxonomy of multi-answer VQA organized along four dimensions.

Nida Hasanati, Taufik Djatna, Imas Sukaesih Sitanggang et al. · International Journal of Inf... · 0 citations