A Recommendation System of Training Plan to Accelerate Workforce Competency for Oil & Gas Company in Bintulu
To upskill each of the staff based on their respective specialties, superiors in Petronas MLNG decides what most suitable trainings are for the subordinate staffs. However, this process is time consuming as superior must decide the training based on each of the staff’s competency gap. To date, there...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak (UNIMAS)
2020
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/34513/1/Nursyahira%20Binti%20Suhib%20-%2024%20pgs.pdf http://ir.unimas.my/id/eprint/34513/2/Nursyahira%20Binti%20Suhib.pdf http://ir.unimas.my/id/eprint/34513/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | To upskill each of the staff based on their respective specialties, superiors in Petronas MLNG decides what most suitable trainings are for the subordinate staffs. However, this process is time consuming as superior must decide the training based on each of the staff’s competency gap. To date, there has not been a solution that would ease the superior’s task in making decision faster. In this project, a collaborative-based recommendation system is developed in a web-based
system to produce a list of training based for the staff. The main feature of this prototype is to recommend training for each of the staffs. The functional testing has been done to identify any error during system testing while a non-functional testing which was the survey method was done to get a constructive feedback from users. In conclusion, the recommendation system features allows better training management in the company. The future works for the system enhancement can overcome the identified limitations of the proposed system. Hopefully with this final year project (FYP2) proposing a recommendation system, the importance of suggestions in the daily life becomes more recognized. |
|---|