Fuzzy model tahani as a decision support system for selection computer tablet

  • Authors

    • Syafrida Hafni Sahir
    • R Rosmawati
    • Robbi Rahim
    https://doi.org/10.14419/ijet.v7i2.9.13348
  • Computer Table, Decision Support System, DSS, Fuzzy, Tahani.

  • Abstract

    Tablet computer stores as tablet sales continue to keep pace with technology to meet the needs of consumers of tablet computer buyers, where consumers generally always have considerations or factors before taking a decision on a pur-chase, for example price, brand, screen size , memory, hard drive, or features present on the tablet computer and other factors. To be able to assist it, it needs to be supported into a computerized decision support system. Decision support sys-tems in addition to providing information can also help provide various alternatives that can be selected in the decision-making process. Fuzzy logic is a good way to map an input space into the output space. The research is expected to de-termine which type of tablet computer to choose based on the criteria desired by the user so that the user can easily deter-mine the option to buy a tablet computer based on features, facilities, and price, so that the brand of tablet computer can be purchased by the user.

     

  • References

    1. [1] Computer Hope, “Computer vs. Smartphone,†computerhope, 2017. .

      [2] C. Anglano, “Forensic analysis of WhatsApp Messenger on Android smartphones,†Digit. Investig. vol. 11, no. 3, pp. 1–13, 2014.

      [3] P. harliana and R. Rahim, “Comparative Analysis of Membership Function on Mamdani Fuzzy Inference System for Decision Making,†J. Phys. Conf. Ser., vol. 930, no. 1, p. 012029, Dec. 2017.

      [4] M. Mesran, M. Syahrizal, S. Suginam, N. Kurniasih, and A. D. Gs, “Expert System for Disease Risk Based on Lifestyle with Fuzzy Mamdani,†Int. J. Eng. Technol., vol. 7, no. 2.3, pp. 88–91, 2018.

      [5] A. Indahingwati, M. Barid, N. Wajdi, D. E. Susilo, N. Kurniasih, and R. Rahim, “Comparison Analysis of TOPSIS and Fuzzy Logic Methods On Fertilizer Selection,†Int. J. Eng. Technol., vol. 7, no. 2.3, pp. 109–114, 2018.

      [6] N. H. Phuong and V. Kreinovich, “Fuzzy logic and its applications in medicine,†Int. J. Med. Inform., vol. 62, no. 2–3, pp. 165–173, 2001.

      [7] T. Simanihuruk et al., “Hesitant Fuzzy Linguistic Term Sets with Fuzzy Grid Partition in Determining the Best Lecturer,†Int. J. Eng. Technol., vol. 7, no. 2.3, pp. 59–62, Mar. 2018.

      [8] T. Listyorini and R. Rahim, “A prototype fire detection implemented using the Internet of Things and fuzzy logic,†World Trans. Eng. Technol. Educ., vol. 16, no. 1, pp. 42–46, 2018.

      [9] A. S. Ahmar et al., “Modeling Data Containing Outliers using ARIMA Additive Outlier (ARIMA-AO),†J. Phys. Conf. Ser., vol. 954, no. 1, 2018.

      [10] D. Abdullah, Tulus, S. Suwilo, S. Effendi, and Hartono, “DEA Optimization with Neural Network in Benchmarking Process,†IOP Conf. Ser. Mater. Sci. Eng., vol. 288, no. 1, p. 012041, Jan. 2018.

      [11] D. Siregar, D. Arisandi, A. Usman, D. Irwan, and R. Rahim, “Research of Simple Multi-Attribute Rating Technique for Decision Support,†J. Phys. Conf. Ser., vol. 930, no. 1, p. 012015, Dec. 2017.

      [12] R. Risawandi and R. Rahim, “Study of the Simple Multi-Attribute Rating Technique For Decision Support,†Int. J. Sci. Res. Sci. Technol., vol. 2, no. 6, pp. 491–494, 2016.

      [13] S. Syamsudin and R. Rahim, “Study Approach Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS),†Int. J. Recent Trends Eng. Res., vol. 3, no. 3, pp. 268–285, Apr. 2017.

      [14] R. Rahim et al., “Combination Base64 Algorithm and EOF Technique for Steganography,†J. Phys. Conf. Ser., vol. 1007, no. 1, p. 012003, Apr. 2018.

      [15] R. Rahim, M. Dahria, M. Syahril, and B. Anwar, “Combination of the Blowfish and Lempel-Ziv-Welch algorithms for text compression,†World Trans. Eng. Technol. Educ., vol. 15, no. 3, pp. 292–297, 2017.

      [16] R. Rahim, I. Zulkarnain, and H. Jaya, “A review: search visualization with Knuth Morris Pratt algorithm,†in IOP Conference Series: Materials Science and Engineering, 2017, vol. 237, no. 1, p. 012026.

      [17] R. Rahim, A. S. Ahmar, A. P. Ardyanti, and D. Nofriansyah, “Visual Approach of Searching Process using Boyer-Moore Algorithm,†J. Phys. Conf. Ser., vol. 930, no. 1, p. 012001, Dec. 2017.

      [18] R. Ratnadewi, E. M. Sartika, R. Rahim, B. Anwar, M. Syahril, and H. Winata, “Crossing Rivers Problem Solution with Breadth-First Search Approach,†in IOP Conference Series: Materials Science and Engineering, 2018, vol. 288, no. 1.

      [19] R. Rahim et al., “Block Architecture Problem with Depth First Search Solution and Its Application,†J. Phys. Conf. Ser., vol. 954, no. 1, p. 012006, 2018.

      [20] R. Rahim, H. Nurdiyanto, A. S. Ahmar, D. Abdullah, D. Hartama, and D. Napitupulu, “Keylogger Application to Monitoring Users Activity with Exact String Matching Algorithm,†J. Phys. Conf. Ser., vol. 954, no. 1, 2018.

      [21] V. Tahani, “A fuzzy model of document retrieval systems,†Inf. Process. Manga. vol. 12, no. 3, pp. 177–187, 1976.

      [22] A. Aljuaidi, “Decision support system analysis with the graph model on non-cooperative generic water resource conflicts,†Int. J. Eng. Technol., vol. 6, no. 4, p. 145, Oct. 2017.

      [23] N. Nurmalini and R. Rahim, “Study Approach of Simple Additive Weighting For Decision Support System,†Int. J. Sci. Res. Sci. Technol., vol. 3, no. 3, pp. 541–544, 2017.

      [24] A. S. Ahmar, “A Comparison of α-Sutte Indicator and ARIMA Methods in Renewable Energy Forecasting in Indonesia,†Int. J. Eng. Technol., vol. 7, no. 1.6, pp. 9–11, 2018.

      [25] A. Rahman and A. S. Ahmar, “Forecasting of primary energy consumption data in the United States: A comparison between ARIMA and Holter-Winters models,†in AIP Conference Proceedings, 2017, vol. 1885.

      [26] A. S. Ahmar, A. Rahman, A. N. M. Arifin, and A. A. Ahmar, “Predicting movement of stock of ‘Y’ using sutte indicator,†Cogent Econ. Financ. vol. 5, no. 1, 2017.

      [27] P. Singhala, D. N. Shah, and B. Patel, “Temperature Control using Fuzzy Logic,†Int. J. Instrum. Control Syst., vol. 4, no. 1, pp. 1–10, 2014.

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  • How to Cite

    Hafni Sahir, S., Rosmawati, R., & Rahim, R. (2018). Fuzzy model tahani as a decision support system for selection computer tablet. International Journal of Engineering & Technology, 7(2.9), 61-65. https://doi.org/10.14419/ijet.v7i2.9.13348

    Received date: 2018-05-27

    Accepted date: 2018-05-27