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Home> FSK1000-FAKULTI KOMPUTERAN

DR. NUR SYAFIQAH BINTI MOHD NAFIS

Contact No. : -
Gender : FEMALE
Nationality : MALAYSIA
Current Positon : DS51-A-PENSYARAH UNIVERSITI
E-Mail : nsyafiqahmnafis@ump.edu.my
 
ACADEMIC QUALIFICATION
. 2023 : IJAZAH KEDOKTORAN (DOCTORAL DEGREE), UMP
. 2016 : IJAZAH SARJANA (MASTERS DEGREE), UNIZA
. 2012 : IJAZAH SARJANA MUDA (BACHELOR DEGREE), UNIZA
. 2008 : MATRICULATION, KOLEJ MATRIKULASI PAHANG
. 2006 : SPM DAN SETARAF, MRSM BESUT
 
EXPERTISE
EXPERT AREA MAJOR YEARS OF EXPERTISE LEVEL
DATA MINING CLASSIFICATION
7
SANGAT TINGGI
DATA MINING MACHINE LEARNING
7
TINGGI
OTHER INFORMATION, COMPUTER AND COMMUNICATION TECHNOLOGY (ICT) N.E.C. TEXT ANALYSIS
5
TINGGI
 
EMPLOYMENT HISTORY
EMPLOYER POST JOIN DATE RESIGN DATE STATUS
Csc Malaysia Sdn.Bhd PROGRAMMER ANALYST 01/08/2012 28/02/2014 TETAP
   
RESEARCH
NO. TITLE ROLE START DATE END DATE STATUS
1. NON-PREDICTIVE MEASURE FEATURE SELECTION TECHNIQUE USING TF-IDF AND THRESHOLDING FOR BURNOUT EMPLOYEE CLASSIFICATION. Leader 25-DEC-2023 24-DEC-2025 Sedang Berjalan
2. PREDICTING SUICIDAL IDEATION FROM SOCIAL MEDIA CONTENT AMONG ONLINE COMMUNITIES USING DEEP LEARNING MODEL Member 01-NOV-2023 31-OCT-2025 Sedang Berjalan
   
PUBLICATION
TYPE PUBLICATION TARIKH PENERBITAN TYPE OF CONTRIBUTION
REFEREED PUBLICATION
JOURNAL An enhanced hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification. I 20/10/2021 90
   

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