Analysis Of Human Computer Interaction Approach In Pospay Application
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Published:
Aug 1, 2022
Keywords:
Analysis, Human Computer Interaction, Usability, Simple Random Sampling, user Experience
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Computer Science
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Abstract
Fulfillment of customer service is the company's priority in developing a digital service platform. Digital services with many users accessing, of course, require service applications to be able to be used optimally. Human-Computer (HCI) analysis, by focusing on usability aspects which include learnability, efficiency, memorability, errors, and satisfaction aspects, can be an analytical approach from the user's side of an application so that the application can become an application that follows user needs. This study applies HCI analysis to the Pospay application with 100 community respondents using a simple random sampling technique. The analysis results, especially on the user side based on the opinions of user respondents, shows that the Pospay application has implemented aspects of learnability, effectivity, memorability, and satisfaction well but has several drawbacks of the error.
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Azis, N., Efendi, Azzahra , A. S. ., Muditomo, A. . and Agustina (2022) “Analysis Of Human Computer Interaction Approach In Pospay Application”, Jurnal Mantik, 6(2), pp. 1956-1963. doi: 10.35335/mantik.v6i2.2712.
References
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[2] M. A. Mahmoud, R. E. Hinson, and P. A. Anim, “Service innovation and customer satisfaction: the role of customer value creation,” Eur. J. Innov. Manag., 2017.
[3] Y. Trisnowati, A. Muditomo, E. P. S. Manalu, and D. Adriana, “The COVID-19 Pandemic’s Impact on Indonesia’s Electronic Retail Payment Transactions,” in 2020 International Conference on Information Management and Technology (ICIMTech), 2020, pp. 504–509.
[4] E. I. Rahman and N. Azis, “Mengelola Data Barang Dengan Perancangan Sistem Informasi Mobile Berbasis Android,” ikraith-informatika, vol. 5, no. 3, pp. 109–120, 2021.
[5] I. G. I. Sudipa, I. N. S. W. Wijaya, M. L. Radhitya, I. M. A. Mahawan, and I. N. A. Arsana, “An android-based application to predict student with extraordinary academic achievement,” in Journal of Physics: Conference Series, 2020, vol. 1469, no. 1. doi: 10.1088/1742-6596/1469/1/012043.
[6] N. Azis and A. M. Rizki, “Rancang Bangun Aplikasi Penjualan Rumah Berbasis Android,” J. Inf. Syst., vol. 1, no. 2, 2021.
[7] A. A. Bahar and A. N. Salma, “Efektivitas Komunikasi Humas Pt Pos Indonesia (persero) Pada Pengetahuan Masyarakat Mengenai Pospay,” eProceedings Manag., vol. 9, no. 2, 2022.
[8] S. M. DAM and T. C. DAM, “Relationships between service quality, brand image, customer satisfaction, and customer loyalty,” J. Asian Financ. Econ. Bus., vol. 8, no. 3, pp. 585–593, 2021.
[9] A. Muditomo and I. Wahyudi, “Conceptual model for sme digital transformation during the covid-19 pandemic time in indonesia: R-digital transformation model,” BASKARA J. Bus. Entrep., vol. 3, no. 1, pp. 13–23, 2020.
[10] V. Rinabi, “ANALISIS MODEL HUMAN COMPUTER INTERACTION UNTUK PENGUKURAN USER EXPERIENCE PADA SISTEM INFORMASI AKADEMIK (STUDI KASUS: UC STUDENT APPLICATION),” J. Sist. Cerdas dan Rekayasa, vol. 1, no. 1, 2019.
[11] I. B. G. Sarasvananda, I. P. E. G. Gunawan, I. K. A. G. Wiguna, M. S. Ariantini, and I. G. I. Sudipa, “PIECES ANALYSIS IN THE INFLUENCE OF THE DESIGNING DIGITAL SIGNATURE CERTIFICATE SYSTEM,” J. Mantik, vol. 6, no. 1, 2022.
[12] N. Ghasemifard, M. Shamsi, A. R. R. Kenari, and V. Ahmadi, “A new view at usability test methods of interfaces for human computer interaction,” Glob. J. Comput. Sci. Technol., 2015.
[13] G. Chao, “Human-computer interaction: The usability test methods and design principles in the human-computer interface design,” in 2009 2nd IEEE International Conference on Computer Science and Information Technology, 2009, pp. 283–285.
[14] P. Prihati, M. Mustafid, and S. Suhartono, “Penerapan model human computer interaction (hci) dalam analisis sistem informasi,” JSINBIS (Jurnal Sist. Inf. Bisnis), vol. 1, no. 1, pp. 1–8, 2011.
[15] A. Dix, J. Finlay, G. D. Abowd, and R. Beale, “Human-computer interaction,” Harlow ua, 2000.
[16] I. S. MacKenzie, “Human-computer interaction: An empirical research perspective,” 2012.
[17] J. Lazar, J. H. Feng, and H. Hochheiser, Research methods in human-computer interaction. Morgan Kaufmann, 2017.
[18] P. W. Jordan, An introduction to usability. CRC Press, 2020.
[19] J. R. Lewis, “Usability testing,” Handb. Hum. factors Ergon., vol. 12, p. e30, 2006.
[20] P. Indonesia, “Pospay,” www.posindonesia.co.id, 2021. https://www.posindonesia.co.id/en/content/pospay (accessed Mar. 23, 2022).
[21] P. D. Sugiyono, “Statistika untuk penelitian,” Bandung CV. Alf., vol. 21, 2006.
[22] I. Etikan and K. Bala, “Sampling and sampling methods,” Biometrics Biostat. Int. J., vol. 5, no. 6, p. 149, 2017.
[23] R. W. Emerson, “Convenience sampling, random sampling, and snowball sampling: How does sampling affect the validity of research?,” J. Vis. Impair. Blind., vol. 109, no. 2, pp. 164–168, 2015.
[24] Sugiyono, Metode penelitian pendidikan?: Pendekatan kuantitatif, kualitatif, dan R&D / Sugiyono. Bandung?: Alfabeta, 2015, 2015.
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