Personal Information

 Assistant Professor

Department of Department of Computer Science

Faculty of Computing and Information Technology in Rabigh

Contact Information

Phone: 8001169528

Email: abmansur@kau.edu.sa

Andi Besse Firdausiah Mansur

 Assistant Professor

Profile

Education

  • 2004

    Bachelor degree from Department of MathematicsFaculty of Science and Mathemathics, Haluoleo University, Kendari, انـدونيـسيا

  • 2009

    Master degree from InformaticsFaculty of Information Technology , Institut Teknologi Sepuluh Nopember Surabaya, Surabaya, انـدونيـسيا

  • 2013

    Doctorate degree from Software EngineeringFaculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, مـــالـيزيا

Employment

  • 2011-2012

    Research Assistant, Universiti Teknologi Malaysia, Johor Bahru, مـــالـيزيا

  • 2013-حاليا

    Assistant Professor, King Abdulaziz University, Rabigh, المملكة العربية السعودية

Research Interests

Research Interest: Artificial Intelligence, Deep Learning, Computer Vision

1.        Ahmad Hoirul Basori, Sharaf Jameel Malebary, Andi Besse Firdausiah Mansur, Andi Tenriawaru, Norazah Yusof, Arda Yunianta, Omar M. Barukab (2021) Intelligent Socio-Emotional Control of Pedestrian Crowd behaviour inside Smart City, Procedia Computer Science, Elsevier, Volum.82, Pages 80-88 SCOPUS and ISI Indexed

2.        Norazah Yusof, Ramlah Hussein, Rathiah Hashim, Andi Besse Firdausiah Mansur, Saadia Malik, Nada Bajnaid, Shereena Mohd Arif (2021) Teamwork Effectiveness in Student’s Final Year Project, International journal of Emerging Technologies in Learning, Vol. 16, No.15, Scopus and ISI indexed.

3.        Norazah Yusof, Ramlah Hussein, Andi Besse Firdausiah Mansur, Nada Bajnaid, Rathiah Hashim, Saadia Malik, Shereena Arif (2020) Teamwork Effectiveness in Student’s Final Year Project, The 8th Regional Conference in Engineering Education (RCEE) & Research in Higher Education (RHEd) 2020, 29-30th September 2020,Centre for Engineering Education UTM, Universiti Teknologi Malaysia (UTM) and Society of Engineering Education Malaysia (Accepted)

4.        Ahmad Hoirul Basori , Andi Besse Firdausiah Mansur., Hendra Yufit Riskiawan (2020) SMARF: Smart Farming Framework Based on Big Data, IoT and Deep Learning Model for Plant Disease Detection and Prevention. In: Khalaf M., Al-Jumeily D., Lisitsa A. (eds) Applied Computing to Support Industry: Innovation and Technology. ACRIT 2019. Communications in Computer and Information Science, vol 1174. Springer, Cham

5.        Andi Besse Firdausiah Mansur, Norazah Yusof, Ahmad Hoirul Basori (2019), “Personalised Learning Model based on Deep Learning Algorithm for Student Behaviour”, Procedia Computer Science, Vol. 163, pp. 125-133, Elsevier, Scopus indexed

6.        Ahmad Hoirul Basori , Ahmad Luqman bin Abdul Hamid , Andi Besse Firdausiah Mansur, Norazah Yusof(2019), “iMars: Intelligent Municipality Augmented Reality Service for Efficient Information Dissemination based on Deep Learning algorithm in Smart City of Jeddah”, Procedia Computer Science, Vol. 163, pp. 93-108, Elsevier, Scopus indexed

7.        Andi Besse Firdausiah Mansur, Norazah Yusof, Ahmad Hoirul Basori, “Comprehensive analysis of Student’s Academic Failure Classification through Role-Sphere Influence and Flow betwenness centrality”,Procedia Computer Science, Volume 116, 2017, Pages 509-515, Elsevier, Scopus Indexed

8.        Andi Besse Firdausiah Mansur, Norazah Yusof, Comparative classification of student’s academic failure through Social Network Mining and Hierarchical Clustering,Computer Engineering and Application Journal,Vol. 6, No.2,July 2017

9.        Andi Besse Firdausiah Mansur, Norazah Yusof, The Analysis of Student Collaborative Work inside Social learning network analysis based on Degree and Eigenvector Centrality, International Journal of Electrical and Computer Engineering (IJECE) Vol.6, No.5, October 2016, pp.1~13 ISSN: 2088-8708. Scopus Indexed

10.    Andi  Besse Firdausiah Mansur, Norazah Yusof,  “Social learning network analysis model to identify learning patterns using ontology clustering techniques and meaningful learning”, Computer and Education, Elsevier, Vol. 63(2013), pp.73-86. Tier 1, ISI IMPACT FACTOR 2.61

11.     Norazah Yusof and Andi Besse Firdausiah Mansur,"Ontology Development of e-Learning Moodle for Social Learning Network Analysis",World Academy of Science, Engineering and Technology, Vol:7 2013-06-21, 2013

12.     Andi Besse Firdausiah Mansur, Norazah Yusof,  “Classifying behaviour of Student in Social Learning Network of Moodle E-Learning using Clustering Techniques”, Archives Des Science Journal, Vol. 65, No. 10, pp. 658 ~ 670, October 2012. ISI IMPACT FACTOR:0.296

13.     Andi Besse Firdausiah Mansur, Norazah Yusof, Mohd Shahizan Othman, “Analysis of Social Learning Network for Wiki in Moodle E-Learning”, Advanced in Information Sciences and Service Science , 2012, ISSN:1976-3700, Indexed by Scopus

14.     Andi Besse Firdausiah Mansur, Norazah Yusof, Mohd Shahizan Othman,”Analysis of Social Learning Network for Wiki in Moodle E-Learning”,The 4th  International Conference on Interaction Sciences (ICIS), IEEE, August,Korea, 2011.

15.     Andi Besse Firdausiah Mansur, Norazah Yusof, Mohd Shahizan Othman, “Ontology of Moodle e-Learning System for Social Network Analysis”, IEEE Conference on Open Systems(ICOS), Langkawi ,September 2011

16.     Andi Besse Firdausiah Mansur, Norazah Yusof ” State of the Art of Social Network Analysis on wiki and ontology Moodle E-Learning”, PARS-SCRG workshop, Melaka, June, 2011

17.     Andi Besse Firdausiah Mansur, Norazah Yusof ” State of the Art of Social Network Analysis on wiki and ontology Moodle E-Learning”, SCRG Book Chapter, UTM, 2011

18.     Andi Besse Firdausiah, A rational study: analyzing and mapping the possibility of extreme programming to enhance the rapidity of game development, The 4th International Conference on Information & Communication Technology and Systems, 5 August 2008. Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia, 137 - 143.

19.     Andi Besse Firdausiah, Daniel Oranova S., Umi Laili Yuhana,Toshihiro Kita,”Autograding for essay answer using ontology for moodle platform” , The National Journal of TELKOMNIKA, Vol. 6, No. 3, December 2008.pp167 – 174. ISSN 1693-6930.

 

 

Scientific interests

1. Data mining and soft computing
2. Big Data Analytic
3. Machine Learning/Deep Learning
4. Artificial intelligence

Courses

Mathematics for Computing COCS 223
Discrete Structures COCS 222
Wireless and Mobile Communications Technology COIT472
Wireless Data Privacy COIT 464
Algorithm and Complexity COCS 325
Formal Methods COCS 453
Computer Vision COCS 486
Geometric Modelling COCS 483
Artificial Intelligence COCS 431
Data Mining and Business Intelligence COIS 448
System Analysis and Design COIS 451
Software Reliability Robustness and Security COCS 455
Computer Graphics COCS 481
Advanced Mathematics for Computing COCS324
Game Engine Programming COCS 487
Programming Language COCS305
Programming III COCS307

Areas of expertise

Academic Research assistant
Industry Accounting
Research Assistant Conduct research under research grant scheme