Exploring User Experience and User Interface of Indonesian e-Health PeduliLindungi Mobile-Apps with MeCUE 2.0 Framework

Aang Kisnu Darmawan; Imam Arifin; Anwari Anwari

doi:10.32736/sisfokom.v12i2.1657

Authors

Aang Kisnu Darmawan Universitas Islam Madura
Imam Arifin Universitas Islam Madura
Anwari Anwari Universitas Islam Madura

DOI:

https://doi.org/10.32736/sisfokom.v12i2.1657

Keywords:

e-Health, PeduliLindungi, User Experience, User Interface, meCUE 2.0

Abstract

PeduliLindungi Mobile-Apps (PLMA) is a mobile-based e-Health application that was released by the Ministry of Communication and Information (KOMINFO) of the Republic of Indonesia in April 2020. Its goal is to help the government keep track of the Covid-19 Pandemic in Indonesia and stop it from spreading. PLMA is used to find Covid-19, keep track of it, warn people about it, and stop it from spreading. Reports say that more than 10,000,000 people have downloaded PLMA, and KOMINFO has told all citizens that they must use this app. But PLMA was criticized by people who used its apps because of problems like application errors, data leaks, and mistakes in user data. Also, as of September 29, 2021, 470,521 people had reviewed it on the Google Play Store, giving it an average score of 3.8. The score from the PLMA review shows that the application needs to be improved. PLMA also gets complaints about how hard it is to navigate, how features aren't clear, how there are problems with connection and performance, how personal data isn't safe, and how hard it is to get to. The purpose of the research is to investigate and evaluate PLMA which focuses on the user experience (UX) or user interface (UI) of application users. UI/UX in PLMA has been measured or evaluated in a few studies, but the numbers are still very small and limited. Minge (2020) came up with the meCUE 2.0 framework as a way to evaluate an application user experience service. It is a fairly new and comprehensive framework. The MeCUE 2.0 Framework has a questionnaire with 34 statement items. It is made up of 4 modules: Modules I and II (Perception of quality of instrumental and non-instrumental products), Module III (Emotions), Module IV (Consequences), and Module V (Overall Evaluation). In the first step of this study, the meCUE 2.0 questionnaire was translated and then given to 50 people. The results showed that the UI/UX ratings for PLMA were 3.17 for usefulness, 4 for usability, 3.33 for visual aesthetics, 3 for status, 3.67 for commitment, 3.67 for positive emotions, 2.67 for negative emotions, 3.67 for intention to use, 2.67 for product loyalty, and 3.67 for overall evaluation.(107.00). This research makes a contribution both in terms of ideas and in terms of how it can be used. For example, it tells UX designers and policymakers that they should pay attention to important factors while developing PLMAs.

Author Biographies

Aang Kisnu Darmawan, Universitas Islam Madura

Department of Information System

Imam Arifin, Universitas Islam Madura

Department of Information System

References

X.-S. Yang, S. Sherratt, N. Dey, and A. Joshi, Eds., “The Successful Use of the PeduliLindungi Application in Handling COVID-19 (Indonesian Case Study),” in Proceedings of Seventh International Congress on Information and Communication Technology: ICICT 2022, London, Volume 3, in Lecture Notes in Networks and Systems, vol. 464. Singapore: Springer Nature Singapore, 2023. doi: 10.1007/978-981-19-2394-4.

A. J. Kusuma, P. Sudarmaningtyas, and A. Supriyanto, “Factors Affecting the PeduliLindungi User Experience Based on UX Honeycomb,” J. RESTI (Rekayasa Sist. Teknol. Inf.), vol. 6, no. 3, pp. 491–498, Jul. 2022, doi: 10.29207/resti.v6i3.4131.

Kementerian Komunikasi dan Informatika Republik Indonesia, “‘PeduliLindungi,’ PeduliLindungi.id, 2020. [Online]. Available: PeduliLindungi.id. [Accessed: 11-Sep-2021].” Kementerian Komunikasi dan Informatika Republik Indonesia, 2020.

Kementerian Komunikasi dan Informatika Republik Indonesia, “‘PeduliLindungi,’ 2021. [Online]. Available: https://play.google.com/store/apps/details?id=com.telkom.trac encare. [Accessed: 11-Sep-2021].” Kementerian Komunikasi dan Informatika Republik Indonesia, 2021.

A. R. Yudistira, H. H. Nuha, and K. A. Achmad, “User Satisfaction Analysis of PeduliLindungi Application Using End User Computing Satisfaction (EUCS) Method,” in 2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), Jakarta, Indonesia: IEEE, Oct. 2022, pp. 193–197. doi: 10.23919/EECSI56542.2022.9946559.

I. Suyuti and D. R. Sari S, “Fine-Grained Sentiment Analysis on PeduliLindungi Application Users with Multinomial Naive Bayes-SMOTE,” in 2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), Jakarta, Indonesia: IEEE, Oct. 2022, pp. 374–378. doi: 10.23919/EECSI56542.2022.9946469.

R. Setyawan, “Software Architecture Refactoring Based on Data Integration and Interoperability Issues in PeduliLindungi,” Proceedings - 2022 2nd International Conference on Information Technology and Education, ICIT and E 2022, no. Query date: 2022-08-13 06:27:07, pp. 221–226, 2022, doi: 10.1109/ICITE54466.2022.9759897.

I. R. Saladdin and P. W. Handayani, “The Influence of Individual, Process, Technology, and Environment Dimensions on Intention and Actual Usage of PeduliLindungi Application,” in 2022 10th International Conference on Information and Communication Technology (ICoICT), Bandung, Indonesia: IEEE, Aug. 2022, pp. 47–52. doi: 10.1109/ICoICT55009.2022.9914848.

A. P. Purwko, F. A. Firsyada, R. Bayhaqi, N. Limantara, S. Kom, and Mmsi, “A Research Study on User Satisfaction of PeduliLindungi Application,” in 2022 International Conference on ICT for Smart Society (ICISS), Bandung, Indonesia: IEEE, Aug. 2022, pp. 01–05. doi: 10.1109/ICISS55894.2022.9915111.

M. R. Pribadi, D. Manongga, H. D. Purnomo, I. Setyawan, and Hendry, “Sentiment Analysis of the PeduliLindungi on Google Play using the Random Forest Algorithm with SMOTE,” in 2022 International Seminar on Intelligent Technology and Its Applications (ISITIA), Surabaya, Indonesia: IEEE, Jul. 2022, pp. 115–119. doi: 10.1109/ISITIA56226.2022.9855372.

M. I. Nurmansyah, C. Rosidati, Y. Yustiyani, and N. M. Nasir, “Measuring the Success of PeduliLindungi Application Use for Supporting COVID-19 Prevention: A Case Study among College Students in Jakarta, Indonesia,” Kesmas: Jurnal Kesehatan Masyarakat Nasional, vol. 17, no. sp1, Aug. 2022, doi: 10.21109/kesmas.v17isp1.6057.

J. F. Liysanto and M. R. Shihab, “Exploring an Integrated Model of Tracking and Tracing Application: Insights from PeduliLindungi in Indonesia,” in 2022 International Conference on Advanced Computer Science and Information Systems (ICACSIS), Depok, Indonesia: IEEE, Oct. 2022, pp. 137–142. doi: 10.1109/ICACSIS56558.2022.9923498.

I. Darmawan and A. Lussak, “Factors Influencing the Intention to Use PeduliLindungi Application Among Indonesians During COVID-19,” in 2022 4th International Conference on Cybernetics and Intelligent System (ICORIS), Prapat, Indonesia: IEEE, Oct. 2022, pp. 1–8. doi: 10.1109/ICORIS56080.2022.10031588.

W. W. Cholil, F. Panjaitan, F. Ferdiansyah, A. Arista, R. Astriratma, and T. Rahayu, “Comparison of Machine Learning Methods in Sentiment Analysis PeduliLindungi Applications,” in 2022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), Jakarta, Indonesia: IEEE, Nov. 2022, pp. 276–280. doi: 10.1109/ICIMCIS56303.2022.10017669.

I. Firmansyah, “A Comparison of Support Vector Machine and Naïve Bayes Classifier in Binary Sentiment Reviews for PeduliLindungi Application,” 2021 International Conference on Artificial Intelligence and Big Data Analytics, ICAIBDA 2021, no. Query date: 2022-08-13 06:27:07, pp. 140–145, 2021, doi: 10.1109/ICAIBDA53487.2021.9689771.

A. Mustopa, “Analysis of user reviews for the pedulilindungi application on google play using the support vector machine and naive bayes algorithm based on particle swarm optimization,” 2020 5th International Conference on Informatics and Computing, ICIC 2020, no. Query date: 2022-08-13 06:27:07, 2020, doi: 10.1109/ICIC50835.2020.9288655.

Kurniawati, “Public Acceptance of Pedulilindungi Application in the Acceleration of Corona Virus (Covid-19) Handling,” Journal of Physics: Conference Series, vol. 1641, no. 1, 2020, doi: 10.1088/1742-6596/1641/1/012026.

G. Bianca, K. Sari, and P. Junadi, “USER PERCEPTIONS OF THE QUALITY OF THE PEDULILINDUNGI APPLICATION BASED ON THE DIMENSIONS OF ELECTRONIC SERVICE QUALITY (E-SERVICE QUALITY) DURING THE COVID-19 PANDEMIC,” J INDO HEALTH POLICY ADM, vol. 8, no. 1, p. 1, Feb. 2023, doi: 10.7454/ihpa.v8i1.6107.

O. Victoria, F. J. Kaunang, and E. B. Wagiu, “Analisis Komponen Desain Layout, Kontrol, dan Warna User Interface terhadap User Experience pada Aplikasi PeduliLindungi,” Jurnal TeIKa, vol. 12, no. 2, 2022.

M. Minge and M. Thüring, “The MeCUE Questionnaire (2.0): Meeting Five Basic Requirements for Lean and Standardized UX Assessment,” in Design, User Experience, and Usability: Theory and Practice, A. Marcus and W. Wang, Eds., in Lecture Notes in Computer Science, vol. 10918. Cham: Springer International Publishing, 2018, pp. 451–469. doi: 10.1007/978-3-319-91797-9_33.

M. Minge, M. Thüring, and I. Wagner, “Developing and Validating an English Version of the meCUE Questionnaire for Measuring User Experience,” Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 60, no. 1, pp. 2063–2067, Sep. 2016, doi: 10.1177/1541931213601468.

M. Minge, M. Thüring, I. Wagner, and C. V. Kuhr, “The meCUE Questionnaire: A Modular Tool for Measuring User Experience,” in Advances in Ergonomics Modeling, Usability & Special Populations, M. Soares, C. Falcão, and T. Z. Ahram, Eds., in Advances in Intelligent Systems and Computing, vol. 486. Cham: Springer International Publishing, 2017, pp. 115–128. doi: 10.1007/978-3-319-41685-4_11.

A. Kisnu Darmawan, M. Bhanu Setyawan, A. Fajaryanto Cobantoro, F. Masykur, A. Komarudin, and M. Waail al Wajieh, “Adaptation of the meCUE 2.0 Version for User Experience(UX) Measurement Approach into Indonesian Context,” in 2021 Sixth International Conference on Informatics and Computing (ICIC), Jakarta, Indonesia: IEEE, Nov. 2021, pp. 1–6. doi: 10.1109/ICIC54025.2021.9633008.

A. Arianto and A. Muzakir, “EVALUASI USER EXPERIENCE DENGAN MENGADAPTASI MECUE QUESTIONNAIRE PADA APLIKASI DANA DAN OVO PAYMENT,” The Fourth Bina Darma Conference on Computer Science (BDCCS2022), vol. 4, no. 1, pp. 2685–2675, 2022.

Michael Minge(&) and Manfred Thüring, “The MeCUE Questionnaire (2.0): Meeting Five Basic Requirements for Lean and Standardized UX Assessment,” International Conference of Design, User Experience, and Usability, vol. 10918, pp. 451–469, 2018, doi: 10.1007/978-3-319-91797-9.

J. F. Hair, Multivariate data analysis, Seventh Edition, Seventh Ed. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. doi: 10.1007/978-3-642-04898-2_395.

N. R. An Nabil, I. Wulandari, S. Yamtinah, S. R. D. Ariani, and M. Ulfa, “Analisis Indeks Aiken untuk Mengetahui Validitas Isi Instrumen Asesmen Kompetensi Minimum Berbasis Konteks Sains Kimia,” PAEDAGOGIA, Jurnal Penelitian Pendidikan, vol. 25, no. 2, p. 184, Sep. 2022, doi: 10.20961/paedagogia.v25i2.64566.