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Menampilkan 1–2 dari 2 artikel
Quantifying the Impact of Text Preprocessing on IndoBERT Fine-Tuning for Indonesian Informal Culinary Sentiment Analysis
Budianoor, Rahmat
; Saputro, Setyo Wahyu
; Abadi, Friska
; Nugroho, Radityo Adi
; Farmadi, Andi
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
Indonesian culinary comments on social media platforms such as Instagram are characterized by informal spelling, regional language mixing, slang expressions, and emojis, posing substantial challenges for automated sentiment classification. While IndoBERT has demonstrated strong performance across Indonesian natural language processing tasks, the contribution of individual preprocessing components to fine-tuning performance on informal text remains underexplored, particularly in the culinary doma...
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Enhancing Software Defect Prediction through Hybrid Multi-Filter Feature Selection and Imbalance Handling
Maulana, Muhammad Khalid
; Saputro, Setyo Wahyu
; Faisal, Mohammad Reza
; Nugroho, Radityo Adi
; Ramadhan, As’ary
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
Software Defect Prediction (SDP) aims to identify defective modules early in the software development lifecycle to improve software quality and reduce maintenance costs. However, SDP datasets commonly suffer from high dimensionality, feature redundancy, and class imbalance, which can degrade model performance and stability. This study proposes a hybrid feature selection framework to address these challenges and enhance prediction performance. The proposed approach integrates Combined Correlation...
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