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Menampilkan 1–2 dari 2 artikel
Characterization Of Composition Error Summary Using Machine Learning Techniques And Natural Language Processing
Mars Caroline Wibowo
; Budi Raharjo
JURNAL ILMIAH KOMPUTER GRAFIS
Vol 16
, No 1
(2023)
As software technology becomes more complex, software maintenance costs become more expensive. In connection with this, the development of software engineering makes the software system has many Composition choices that can be adjusted to the needs of the user. Error fixing involves analyzing Error Summary and modifying code. If bug-fixing steps are made as efficiently and effectively as possible then maintenance costs can be minimal. The purpose of this research is to establish a tool of machin...
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AI For Effective Project Resources Management
Budi Raharjo
; Joseph Teguh Santoso
Jurnal Elektronika dan Komputer
Vol 15
, No 2
(2022)
This research endeavours to delve into the potential of Artificial Intelligence (AI) in bolstering Project Resource Management (PRM), discerning the principal challenges inherent in project resource planning, acquisition, and human as well as physical resource management, while also appraising the utilization of AI tools by project team members (PTM) and their efficacy in daily tasks. This research contributes a theoretical basis for what lies ahead studies in PM and unveils the benefits of AI i...
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