Open Access
MATEC Web Conf.
Volume 197, 2018
The 3rd Annual Applied Science and Engineering Conference (AASEC 2018)
Article Number 03018
Number of page(s) 4
Section Computer Science
Published online 12 September 2018
  1. L. Vitetta, H. Sali, J. Burke, L. Mrazek, F. Cortizo and A. Sali, “The Live Blood Analy8i6 Technique,”, vol. 1, pp. 1-6, (2005) [Google Scholar]
  2. K. Lawonn, S. Glaßer, A. Vilanova, B. Preim and T. Isenberg, “Occlusion-free blood flow animation with wall thickness visualization,” IEEE transactions on visualization and computer graphics, vol. 22, no. 1, pp. 728-737, (2016) [CrossRef] [Google Scholar]
  3. G. Stussi, K. Huggel, H. U. Lutz, U. Schanz, R. Rieben and J. D. Seebach, “Isotype-specific detection of ABO blood group antibodies using a novel flow cytometric method,” British journal of haematology, vol. 130, no. 6, pp. 954-963, (2005) [CrossRef] [Google Scholar]
  4. E. Danese, G. Lippi and M. Montagnana, “Red blood cell distribution width and cardiovascular diseases,” Journal of thoracic disease, vol. 7, no. 10, p. E402, (2015) [Google Scholar]
  5. C. M. Cserti and W. H. Dzik, “The ABO blood group system and Plasmodium falciparum malaria,” Blood, vol. 110, no. 7, pp. 2250-2258, (2017) [CrossRef] [Google Scholar]
  6. M. A. Ramdhani, H. Aulawi, A. Ikhwana and Y. Mauluddin, “Model of Green Technology Adaptation in Small and Medium-Sized Tannery Industry,” Journal of Engineering and Applied Sciences, vol. 12, no. 4, pp. 954-962, (2017) [Google Scholar]
  7. A. Pamoragung, K. Suryadi and M. A. Ramdhani, “Enhancing the Implementation of e-Government in Indonesia Through the High-Quality of Virtual Community and Knowledge Portal,” in 6th European Conference on e-Government, Marburg, (2006) [Google Scholar]
  8. C. Slamet, A. Rahman, A. Sutedi, W. Darmalaksana, M. A. Ramdhani and D. S. Maylawati, “Social Media-Based Identifier for Natural Disaster,” IOP Conference Series: Materials Science and Engineering, vol. 288, no. 2017, p. 012039, (2018) [Google Scholar]
  9. C. Slamet, R. Andrian, D. S. Maylawati, Suhendar, W. Darmalaksana and M. A. Ramdhani, “Web Scraping and Naïve Bayes Classification for Job Search Engine,” IOP Conference Series: Materials Science and Engineering, vol. 288, no. 2017, p. 012038, (2018) [CrossRef] [Google Scholar]
  10. Y. A. Gerhana, W. B. Zulfikar, A. H. Ramdani and M. A. Ramdhani, “Implementation of Nearest Neighbor using HSV to Identify Skin Disease,” IOP Conference Series: Materials Science and Engineering, vol. 288, no. 2017, p. 012153, (2018) [Google Scholar]
  11. A. Rahman, C. Slamet, W. Darmalaksana, Y. A. Gerhana and M. A. Ramdhani, “Expert System for Deciding a Solution of Mechanical Failure in a Car using Case-based Reasoning,” IOP Conference Series: Materials Science and Engineering, vol. 288, no. 2017, p. 012011, (2018) [Google Scholar]
  12. C. Slamet, A. Rahman, M. A. Ramdhani and W. Darmalaksana, “Clustering the Verses of the Holy Qur’an using K-Means Algorithm,” Asian Journal of Information Technology, vol. 15, no. 24, pp. 5159-5162, (2016) [Google Scholar]
  13. W. B. Zulfikar, Jumadi, P. K. Prasetyo and M. A. Ramdhani, “Implementation of Mamdani Fuzzy Method in Employee Promotion System,” IOP Conference Series: Materials Science and Engineering, vol. 288, no. 2017, p. 012147, (2018) [Google Scholar]
  14. D. S. Maylawati, M. A. Ramdhani, A. Rahman and W. Darmalaksana, “Incremental technique with set of frequent word item sets for mining large Indonesian text data,” in International Conference on Cyber and IT Service Management, Denpasar, (2017) [Google Scholar]
  15. A. Taofik, N. Ismail, Y. A. Gerhana, K. Komarujaman and M. A. Ramdhani, “Design of Smart System to Detect Ripeness of Tomato and Chili with New Approach in Data Acquisition,” IOP Conference Series: Materials Science and Engineering, vol. 288, no. 2017, p. 012018, (2018) [CrossRef] [Google Scholar]
  16. D. J. Power, R. Sharda and F. Burstein, Decision support systems, (John Wiley & Sons, 2015) [Google Scholar]
  17. K. Suryadi and M. A. Ramdhani, Sistem Pendukung Keputusan, (Bandung: Remaja Rosdakarya, 2002) [Google Scholar]
  18. R. C. M. Yam, P. W. Tse, L. Li and P. Tu, “Intelligent predictive decision support system for condition-based maintenance,” The International Journal of Advanced Manufacturing Technology, vol. 17, no. 5, pp. 383-391, (2011) [CrossRef] [Google Scholar]
  19. E. Sofiah and Y. Septiana, “Sistem Pendukung Keputusan Feasibility Study untuk Menilai Kelayakan Sebuah Bisnis,” Jurnal Wawasan Ilmiah, vol. 8, no. 1, pp. 1-7, (2017) [Google Scholar]
  20. Y. Septiana, D. Kurniadi and A. Mulyani, “Perancangan Program Aplikasi Faraidh sebagai Sistem Pendukung Keputusan Pembagian Harta Waris Berorientasi Solver,” Jurnal Algoritma, vol. 14, no. 2, pp. 474-480, (2017) [Google Scholar]
  21. H. P. Schwarz and F. Dorner, “Karl Landsteiner and his major contributions to haematology,” British Journal of Haematology, vol. 121, no. 4, pp. 556-565, (2003) [CrossRef] [Google Scholar]
  22. R. Arora and N. Arora, “Analysis of SDLC Models,” International Journal of Current Engineering and Technology, vol. 1, no. 1, pp. 1-6, (2016) [Google Scholar]
  23. D. Kurniadi, S. Sasmoko, H. L. H. S. Warnars and F. L. Gaol, “Software size measurement of student information terminal with use case point,” in 2017 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), (2017) [Google Scholar]
  24. N. S. Sukmadinata, Metode penelitian, (Bandung: PT. Remaja Rosda Karya, 2007) [Google Scholar]
  25. Y. Septiana, “Perencanaan Strategis Sistem Informasi dengan Pendekatan Ward and Peppard Model,” Jurnal Wawasan Ilmiah, vol. 8, no. 1, pp. 8-24, (2017) [Google Scholar]
  26. J. D. Glover, M. S. Sarma and T. Overbye, “Power System Analysis & Design, SI Version,” Cengage Learning, (2012) [Google Scholar]
  27. R. Kuhn, R. Kacker, Y. Lei and J. Hunter, “Combinatorial software testing,” Computer, vol. 42, no. 8, (2009) [Google Scholar]
  28. C. Henard, M. Papadakis, M. Harman, Y. Jia and Y. Le Traon, “Comparing white-box and black-box test prioritization,” In Software Engineering (ICSE), 2016 IEEE/ACM 38th International Conference, pp. 523-534, (2016) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.