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E-TNA identification
Author(s) -
Mastura Binti Ramli,
Noradilah Binti Sukor,
Sharifah Nurulhuda Binti Tuan Mohd Yasin
Publication year - 2018
Publication title -
journal of educational and learning studies
Language(s) - English
Resource type - Journals
eISSN - 2655-2779
pISSN - 2655-2760
DOI - 10.32698/0162
Subject(s) - identification (biology) , novelty , variety (cybernetics) , computer science , training (meteorology) , field (mathematics) , training system , information system , engineering management , knowledge management , process management , engineering , artificial intelligence , philosophy , botany , physics , theology , mathematics , meteorology , pure mathematics , electrical engineering , economics , biology , economic growth
Electronic Training Need Analysis Identification (e-TNAi) is an application of responsive web systems developed to provide accurate and relevant data on the predictions of training needs of an organization. This system application can be accessed through a variety of devices where each staff can fill out the training requirements information everywhere. This effective method allows information to be collected centrally. The training offers are based on the field of training and staff’s choice. The staff's interest and knowledge and additional values will be linked directly to this app in ensuring the right training offers. The novelty and uniqueness of this system is from the aspect of smart identification; the system will identify the priority of which training the management needs to organize. Additionally, this method also has a good impact in which it is time-saving in the aspect of effective decision making at the organization level. In short, this application gives you the edge in the accuracy of information as well as smart, portable, flexible and cost-effective. The e-TNAi system is a system applied at Sultan Mizan Zainal Abidin Polytechnic (PSMZA). It is also very suitable to be applied and has the potential to be marketed as it can be used by all polytechnics in Malaysia. This system can also be applied to all other institutions to assist management in decision making of training priorities in future.

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