1. Yahaya, C.A.C., A. Firdaus, F. Ernawan and W.I.S.W. Din, 2022. The relevance of bibliometric analysis to discover the areas research efforts: Root exploit evolution. Int. J. Inform. Visualization, 6: 489-497.
   CrossRef  |  Direct Link  |  
2. Ernawan, F., P.W. Adi, S.C. Liew, E.A. Sarwoko and E. Winarno, 2022. Fast image watermarking based on signum of cosine matrix. Indonesian J. Electr. Eng. Comput. Sci., 25: 1383-1391.
   CrossRef  |  Direct Link  |  
3. Ernawan, F., K. Handayani, M. Fakhreldin and Y. Abbker, 2022. Light gradient boosting with hyper parameter tuning optimization for COVID-19 prediction. Int. J. Adv. Comput. Sci. Appl., 13: 514-523.
   CrossRef  |  Direct Link  |  
4. Ernawan, F., A. Aminuddin, D. Nincarean, M.F. Ab Razak and A. Firdaus, 2022. Three layer authentications with a spiral block mapping to prove authenticity in medical images. Int. J. Adv. Comput. Sci. Appl., 13: 211-223.
   CrossRef  |  Direct Link  |  
5. Ernawan, F. and D. Ariatmanto, 2022. An efficient adaptive scaling factor for 44 DCT image watermarking. Multimed. Tools Appl., 10.1007/s11042-022-14220-0.
   CrossRef  |  Direct Link  |  
6. Ariatmanto,D. and F. Ernawan, 2022. Adaptive scaling factors based on the impact of selected DCT coefficients for image watermarking. J. King Saud Univ. Comput. Inf. Sci., 34: 605-614.
   CrossRef  |  Direct Link  |  
7. Aminuddin, A. and F. Ernawan, 2022. AuSR2: Image watermarking technique for authentication and self-recovery with image texture preservation. Comput. Electr. Eng., 10.1016/j.compeleceng.2022.108207.
   CrossRef  |  Direct Link  |  
8. Aminuddin, A. and F. Ernawan, 2022. AuSR1: Authentication and self-recovery using a new image inpainting technique with LSB shifting in fragile image watermarking. J. King Saud Univ. - Comput. Inform. Sci., 34: 5822-5840.
   CrossRef  |  Direct Link  |  
9. Prasetyo, M.L., A.T. Wibowo, M. Ridwan, M.K. Milad and S. Arifin et al., 2021. Face recognition using the convolutional neural network for barrier gate system. Int. J. Interact. Mobile Technol., 15: 138-153.
   CrossRef  |  Direct Link  |  
10. Ernawan, F., D. Ariatmanto and A. Firdaus, 2021. An improved image watermarking by modifying selected DWT-DCT coefficients. IEEE Access, 9: 45474-45485.
    CrossRef  |  Direct Link  |  
11. Yahaya, C.A.C., A. Firdaus, S. Mohamad, F. Ernawan and M.F. Ab Raza, 2020. Automated feature selection using boruta algorithm to detect mobile Malware. Int. J. Adv. Trends Comput. Sci. Eng., 9: 9029-9036.
    CrossRef  |  Direct Link  |  
12. Osman, S, 2020. The effect of augmented reality application toward student's learning performance in PC assembly. Int. J. Adv. Trends Comput. Sci. Eng., 9: 401-407.
    CrossRef  |  Direct Link  |  
13. Ng, K.H., S.C. Liew and F. Ernawan, 2020. An improved RDWT-based image steganography scheme with QR decomposition and double entropy. Int. J. Adv. Comput. Sci. Appl., 11: 222-231.
    CrossRef  |  Direct Link  |  
14. Mustaffa, Z., M.H. Sulaiman, M.F.M. Mohsin, Y. Yusof, F. Ernawan, B. Yusob and N.M. Noor, 2020. An application of barnacle mating optimizer in infectious disease prediction: A dengue outbreak cases. Iraqi J. Sci., 61: 2132-2141.
    CrossRef  |  Direct Link  |  
15. Fuad, M. and F. Ernawan, 2020. Video steganography based on DCT psychovisual and object motion. Bull. Electr. Eng. Inf., 9: 1015-1023.
    CrossRef  |  Direct Link  |  
16. Ernawan, F. and M.F. Abdullah, 2020. A New Embedding Technique Based On Psychovisual Threshold for Robust and Secure Compressed Video Steganography. Proceeding of XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science, 29 August 2020-05 September 2020, IEEE, 1-5.
    CrossRef  |  Direct Link  |  
17. Ariatmanto, D. and F. Ernawan, 2020. An improved robust image watermarking by using different embedding strengths. Multimedia Tools Appl., 79: 12041-12067.
    CrossRef  |  Direct Link  |  
18. Ariatmanto, D. and F. Ernawan, 2020. An Adaptive Scaling Factor for Multiple Watermarking Scheme. Proceeding of 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), 20-21 November 2019, IEEE, 175-178.
    CrossRef  |  Direct Link  |  
19. Alias, N. and F. Ernawan, 2020. Multiple watermarking technique using optimal threshold. Indones. J. Electr. Eng. Comput. Sci., 18: 368-376.
    CrossRef  |  Direct Link  |  
20. Abdul Halim, N.A., F. Ernawan, D.N. Eh Phon and K. Moorthy, 2020. Fragile watermarking scheme based on sha-256 hash function and mersenne twister for medical image authentication. Int. J. Adv. Trends Comput. Sci. Eng., 9: 8569-8574.
    CrossRef  |  Direct Link  |  
21. Mustaffa, Z., M.H. Sulaiman, M.F.M. Mohsin, Y. Yusof, F. Ernawan and K.A.M. Rosli, 2019. An Application of Hybrid Swarm Intelligence Algorithms for Dengue Outbreak Prediction. Proceeding of IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), 09-11 April 2019, IEEE, 731-735.
    CrossRef  |  Direct Link  |  
22. Ferda Ernawan, Dhani Ariatmanto 2019. Image watermarking based on integer wavelet transform-singular value decomposition with variance pixels Int. J. Electr. Comput. Eng., 9: 2185-2195.
    CrossRef  |  Direct Link  |  
23. Ernawan, F., S.C. Liew, Z. Mustaffa and K. Moorthy, 2019. A blind multiple watermarks based on human visual characteristics. Int. J. Electr. Comput. Eng., 8: 2578-2587.
    CrossRef  |  Direct Link  |  
24. Ernawan, F., 2019. Tchebichef image watermarking along the edge using YCoCg-R color space for copyright protection. Int. J. Electr. Comput. Eng., 9: 1850-1860.
    CrossRef  |  Direct Link  |  
25. Ernawan, F. and M.N. Kabir 2019. An improved watermarking technique for copyright protection based on tchebichef moments. IEEE Access 7: 151985-152003.
    CrossRef  |  Direct Link  |  
26. Mustaffa, Z., M.H. Sulaiman, F. Ernawan and N.K.M. Noor, 2018. Short term forecasting based on hybrid least squares support vector machines. Adv. Sci. Lett., 24: 7455-7460.
    CrossRef  |  Direct Link  |  
27. Mustaffa, Z., M.H. Sulaiman, D. Rohidin, F. Ernawan and S. Kasim, 2018. Time series predictive analysis based on hybridization of meta-heuristic algorithms. Int. J. Adv. Sci. Eng. Info. Technol., 8: 1919-1925.
    CrossRef  |  Direct Link  |  
28. Ernawan, F., M.N. Kabir and J.M. Zain, 2018. Bit allocation strategy based on Psychovisual threshold in image compression. Multimed. Tools Appl., 77: 13923-13946.
    CrossRef  |  Direct Link  |  
29. Ernawan, F. and M.N. Kabir, 2018. A robust image watermarking technique with an optimal DCT-psychovisual threshold. IEEE Access, 6: 20464-20480.
    CrossRef  |  Direct Link  |  
30. Ernawan, F. and M.N. Kabir, 2018. A block-based RDWT-SVD image watermarking method using human visual system characteristics. Vis. Comput., 36: 19-37.
    CrossRef  |  Direct Link  |  
31. Chandran, S., K. Moorthy, M.A. Ismail, M.Z. Osman, M.A.M. Hamza and F. Ernawan, 2018. An improved integrative random forest for gene regulatory network inference for breast cancer. Adv. Sci. Lett., 24: 7566-7571.
    CrossRef  |  Direct Link  |  
32. Ernawan, F., N. Kabir and K.Z. Zamli, 2017. An efficient image compression technique using Tchebichef bit allocation. Optik, 148: 106-119.
    CrossRef  |  Direct Link  |  
33. Ernawan, F., 2016. Robust image watermarking based on psychovisual threshold. J. ICT Res. Appl., 10: 228-242.
    CrossRef  |  Direct Link  |  
34. Abu, N.A., F. Ernawan and F. Salim, 2015. A smooth formant peak via discrete tchebichef transform. J. Comput. Sci., 11: 351-360.
    CrossRef  |  Direct Link  |  
35. Abu, N.A. and F. Ernawan, 2015. A novel psychovisual threshold on large DCT for image compression. Scient. World J. 10.1155/2015/821497.
    CrossRef  |  Direct Link  |  
36. Ernawan, F., N.A. Abu and N. Suryana, 2014. Psychovisual threshold for generating quantization process in tchebichef moment image compression. J. Comput., 9: 702-710.
    CrossRef  |  Direct Link  |  
37. Ernawan, F., N.A. Abu and N. Suryana, 2014. Integrating a smooth psychovisual threshold into an adaptive JPEG image compression. J. Comput., 9: 644-653.
    CrossRef  |  Direct Link  |  
38. Ernawan, F., N.A. Abu and N. Suryana, 2014. An optimal tchebichef moment quantization using psychovisual threshold for image compression. Adv. Sci. Lett., 20: 70-74.
    CrossRef  |  Direct Link  |  
39. Ernawan, F., N.A. Abu and N. Suryana, 2014. An adaptive JPEG image compression using psychovisual model. Adv. Sci. Lett., 20: 26-31.
    CrossRef  |  Direct Link  |  
40. Ernawan, F. and S.H. Nugraini, 2014. The optimal quantization matrices for JPEG image compression from psychovisual threshold. J. Theoret. Applied Inform. Technol., 70: 566-572.
    Direct Link  |  
41. Abu, N.A. and F. Ernawan, 2014. Psychovisual threshold on large tchebichef moment for image compression. Applied Mathemat. Sci., 8: 6951-6961.
    CrossRef  |  Direct Link  |  
42. Ernawan, F., N.A. Abu and N. Suryana, 2013. Vowel recognition using discrete tchebichef transform. J. Applied Sci., 13: 465-471.
    CrossRef  |  Direct Link  |  
43. Ernawan, F., N.A. Abu and N. Suryana, 2013. Adaptive tchebichef moment transform image compression using psychovisual model. J. Comput. Sci., 9: 716-725.
    CrossRef  |  Direct Link  |  
44. Abu, N.A., F. Ernawan and N. Suryana, 2013. An image dithering via tchebichef moment transform. J. Comput. Sci., 9: 811-820.
    CrossRef  |  Direct Link  |  
45. Ernawan, F. and N.A. Abu, 2011. Efficient discrete tchebichef on spectrum analysis of speech recognition. Int. J. Mach. Learn. Comput., 1: 1-6.
    CrossRef  |  Direct Link  |