DOI: https://doi.org/10.21456/vol10iss2pp211-219

Pemilihan Smartphone Berdasarkan Rekomendasi Profile User: Integrasi Fuzzy Analytical Hierarchy Process dan Rule Based

*Okfalisa Okfalisa orcid scopus  -  Senior Lecturer in Informatics Department Faculty Science and Technology Universitas Islam Negeri Sultan Syarif Kasim Riau Indonesia, Indonesia
Dwi Utari Iswavigra  -  Informatics Department Faculty Science and Technology Universitas Islam Negeri Sultan Syarif Kasim Riau Indonesia, Indonesia
Hidayati Rusnedy  -  Informatics Department Faculty Science and Technology Universitas Islam Negeri Sultan Syarif Kasim Riau Indonesia, Indonesia
Toto Saktioto orcid scopus  -  Physics Department, Universitas Riau, Indonesia
Open Access Copyright (c) 2020 JSINBIS (Jurnal Sistem Informasi Bisnis)

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Abstract

The usability and usefulness of smartphones have been found to lack optimality. Moreover, the action of the customer appears to behave as a consumptive user instead of buying following the basic needs. In selecting the right smartphone, this study provides an alternative option for buyers. The Fuzzy Analytical Hierarchy Process (F-AHP) approach is applied by distinguishing between two distinct decision-making namely, Profile User as a user recommendation-based, and Smartphone-based selection. The suggested requirements are hobbies, areas of jobs, and the use of social network applications in determining the user profile. The weights of the criteria and alternatives for profile users are acquired through the dissemination of questionnaires to 117 respondents. In the meantime, parameters such as Random-Access Memory (RAM), Read-Only Memory (ROM), camera, processor, screen, and battery are added to the smartphone list of criteria upon on the interviews of 15 experts and practices in smartphone and Information Technology (IT). F-AHP rates each of the Smartphone and User Profiles as a first-round output. A rule-based expert system is employed to intertwine Smartphone and User Profiles decision-making viewpoints. The relationship between the Smartphone and the User Profile is therefore circumscribed as the final decision to applaud the acceptable Smartphone for those users of the profile. A prototype of the MatchSmartPhone application has been developed to computerize the F-AHP calculation. This application can be used to assist users according to the user's profile in delivering the best Smartphone device recommendations. Users would be wiser and smarter when shopping in advance.

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Keywords: Smartphone; Profile User; Fuzzy Analytical Hierarchy Process; Decision Support System

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  1. Aditya S., Justin, W., Jose, B., 2020. Site selection decision support tool using geographic information systems and multi expert analytic hierarchy process. Conference Systems and Information Engineering Design Symposium (SIEDS), April. Charlottesville, VA, USA
  2. Akram, M., F. Ilyas., Garg, H., 2019. Multi-criteria group decision making based on ELECTRE I method in pythagorean fuzzy information. Journal Soft Computing 24, 3425–3453
  3. Andreas, F., Gerald, R., Bernhard, O., 2016. A review of decision suppoort system for manufacturing systems. Sam140 workshop at i-KNOW, October 18-19
  4. Arifin, N.Y., Okta, V., 2019. Dashboard sistem aplikasi pengelolaan obat. Engineering and Technology International Journal 1 (2), 59–65
  5. Atmojo, Robertus, N.P., Anggita, D.C., Bahtiar, S.A., Bens, P.A., and Imanuel, D.M., 2014. Design of single user decision support system model based on fuzzy simple additive weighting algorithm to reduce consumer confusion problems in smartphone purchases. Applied Mathematical Sciences 8 (13–16), 717–732
  6. Dweiri, F. and Al-Oqla, F., 2006. Material selection using analytical hierarchy process, International Journal of Computer Applications in Technology 26 (4), 82–189
  7. Fikri, D., Kumar, S., Ahmed, K.S., and Vipul, J., 2016. Designing an integrated AHP based decision support system for supplier selection in automotive industry. Expert Systems with Applications 62, 273–83
  8. Gerogiannis, V., Papadopoulou, S. and Papageorgiou, S., 2012. Identifying factors of customer satisfaction from smartphones : a fuzzy cognitive map Approach. International Conference on Contemporary Marketing Issues (ICCMI), 13–15
  9. Hardani, S., 2020. Diagnosa penyakit diabetes dengan metode forward chaining.” JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer) 5 (2), 231–236
  10. Hardilawati, W.L., 2020. Strategi bertahan UMKM di tengah pandemi covid-19. Jurnal Akuntansi Dan Ekonomika 10 (1), 89–98
  11. Harsiti dan Henri, A., 2017. Sistem pendukung keputusan pemilihan smartphone dengan menerapkan metode simple additive weighting (SAW). JSiI (Jurnal Sistem Informasi) 4, 19–24
  12. Ian, G.S., Adhistya, E.P., Sujoko, S., 2014. Penentuan karakteristik pengguna sebagai pendukung keputusan dalam memilih smartphone menggunakan forward chaining. Prosiding SNATIF Ke-1 Tahun 2014, vol.1, 301–308
  13. Joachim, B., Albrecht. S., 2015. Knowledge driven systems for episodic decision support. Journal Knowledge-Based Systems 88, 45-56
  14. Karima, Z., 2012. Applying fuzzy analytic hierarchy process (FAHP) to evaluate factors locating emergency logistics platforms. International Journal of Computer Applications 57 (2), 0975 – 8887
  15. Leny, N. and Okfalisa, 2019. Measuring the sustainability performance of islamic banking in Indonesia. Journal Social Science and Humanities 27 (2), 1073-1090
  16. Mahardhani, A.J., 2020. Menjadi warga negara yang baik pada masa pandemi covid-19: persprektif kenormalan baru. Jurnal Pancasila Dan Kewarganegaraan 5 (2), 65–76
  17. Malay, Elok, D., and Aulia, N., 2020. Does the use of social network service LINE affect first-year college students’ social sdjustment? Jurnal Psikologi Sosial 18 (1), 30–38
  18. Morente-Molinera., J.A., X.Wu., Morfeq, A., Al-Hmouz, R., Herrera-Viedma, E., 2020. A novel mutli-criteria group decision-making method for heterogeneous and dynamiz contexts using multi-granular fuzzy linguistic modelling and consensus measures. Information Fusion 53, 240-250
  19. Mudjirahardjo, P., Fauzi, A., and Herman, T., 2018. The recommendation system of thesis topics selection based on fuzzy-AHP and fuzzy-ANP. 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS), vol. 3, 348–53
  20. Muhardono, A., dan Isnanto, R.R., 2014. Penerapan metode AHP dan fuzzy topsis untuk sistem pendukung keputusan promosi jabatan. Jurnal Sistem Informasi Bisnis 2, 108–15
  21. Noermansyah, A., dan Lis, S., 2020. Penerapan penjualan berbasis e-commerce pada jakartasneakers sebagai solusi bisnis dalam pandemi covid-19 menggunakan business model canvas (Bmc) dan interaction flow modeling language (Ifml). Proceeding SENDIU 2020, 978–79
  22. Okfalisa, Septia, A., Wresni, A., Muhammad, A., Fauzi, S.S.M., Saktioto, 2018. Integrated analytical hierarchy process and objective matrix in balanced scorecard dashboard model for performance measurement. Telkomnika Journal, 16 (6)
  23. Özdağoğlu, Aşkın, Kevser, Y. and Elif, Ç., 2018. An integration of HF-AHP and ARAS techniques in supplier selection: A case study in waste water treatment facility. Dokuz Eylul Universitesi Iktisadi ve Idari Bilimler Dergisi 33 (2), 477–97
  24. Özdağoğlu, Güler, 2016. E-service quality of internet based banking using combined fuzzy AHP and fuzzy topsis. Tehnički vjesnik 23 (4), 1109-1116
  25. Pratama, Loviga, D., Wahyu, L., and Ika, A., 2020. Efektifitas penggunaan media edutainment di tengah pandemi covid-19. AKSIOMA: Jurnal Program Studi Pendidikan Matematika 9 (2), 413–23
  26. Pratama, Yogi, P., Dwi, K.B., Sritrusta, S., Alviansyah, A.Y., Heri, Y., Faruq, F. and Fariz, B.P., 2019. Designing of a smart collar for dairy cow behavior monitoring with application monitoring in microservices and internet of things-based systems. IES 2019 - International Electronics Symposium: The Role of Techno-Intelligence in Creating an Open Energy System Towards Energy Democracy, Proceedings, 527–33
  27. Priyono, Putri, Y. dan Agus, M.A., 2017. Sistem pengambilan keputusan dalam pemilihan smartphone dengan metode mamdani penggandaan. Seminar Matematika Dan Pendidikan Matematika UNY 2017, 187–94
  28. Putri, A., Hidayatulloh, M., Indra, Muhammad, Z.N, 2017. Implementasi metode forward chaining untuk mendeteksi kriteria user dalam menggunakan Smartphone. Seminar Nasional Teknologi Informasi Kesehatan (SNATIK) 2017, vol. 11, 14–21
  29. Saaty, T.L, 2008, Decision making with the analytic hierarchy process. Int. J. Services Sciences 1 (1), 83-98
  30. Sarwar, Muhammad, and Tariq, R.S., 2013. Impact of smartphone’s on society. European Journal of Scientific Research 98, 1734–1742
  31. Shulin, L., Hao, Z., Ray Y.Z., George, Q., Huang, 2016. A customer satisfaction evaluation model for logistics services using fuzzy analytics hierarchy process. Journal Industrial Management and Data Systems 116 (5), 1024-1042
  32. Suprianto, Andi, dan Asri, A.F.M., 2018. Rancang bangun aplikasi pendaftaran pasien online dan pemeriksaan dokter di klinik pengobatan berbasis web. Jurnal Rekayasa Informasi 7 (1), 48–58
  33. Tanweer, A. and Mohammed, A., 2020. Decision support system for real time people counting in a crowded environment. I.J. of. Electronics and Information Engineering 12 (1), March
  34. Ulya, Faza, dan Muhammad, K., 2017. Rancang bangun sistem monitoring cuaca dengan tampilan thingspeak. Jurnal Tektro 1(1), 23–28
  35. Widodo, S., Yeni, T.U. and Riska, R., 2020. Application of diet program monitoring using intelligent system. International Journal of Research in Engineering and Science (IJRES) 8 (2), 16–23
  36. WuYinhe, LiDaiping, 2014. Research on smartphone application malicious behaviour evaluation using fuzzy analytical hierarchy process. Applied Mechanics and Materials 644-650, 5733-5736
  37. You, Y., Sun, J., Jiang, J., Tan, Y., 2019. Belief-rule-base model with attribute reliability for multiple attribute decision making. Chinese Control and Decision Conference (CCDC), 3-5 June

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Last update: 2024-12-26 00:08:36

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