Telegram Bot as a Data Collection Tool for Progress Reports in Area Mapping Progress Monitoring System

  • Apriela Trirahma Badan Pusat Statistik
Keywords: chatbot, instant messaging, data collection tool, monitoring system, surveyor, realtime

Abstract

In the Area Mapping Project (Preparation for the 2020 Population Census), there is monitoring and collecting data process on the progress of activities in the field. There are weaknesses in data collection on the progress of activities in the field; The manual recapitulation of progress reporting makes the progress data not displayed in real-time, the SMS Gateway is often interrupted, and progress data collection through the monitoring website is less effective if reported directly by field officers. Telegram Bot is used as a data collection tool for field progress reports on Area Mapping activities to overcome these weaknesses. This study aims to prove that Telegram Bot can be used as a real-time data collection tool, has good performance, and is acceptable to users. Telegram Bot is integrated with Monitoring Website into one system and database in this research. This system uses PHP, Yii2, and MySQL, and communication between the web server and Telegram Server uses the webhook method. Based on the Black Box test results, all functions in this system run as expected. The average bot response time was 7.72 seconds for images and 2.25 seconds for text data in the performance test. In the usability test, Telegram Bot obtained a SUS Score of 66 and an NPS of 12.195. These results show that Telegram Bot can be used as a real-time data collection tool, has good performance, and is well accepted by users.

Downloads

Download data is not yet available.

References

US Census Bureau, 2018. 2020 Census Detailed Operational Plan for: 16. Enumeration at Transitory Locations Operation (ETL). Version: 1.0. Washington, DC: US Census Bureau.

Lubis, A. R., Lubis, M., & Azhar, C. D. 2019. The effect of social media to the sustainability of short message service (SMS) and phone call. Procedia Computer Science, 161(July), 687–695. https://doi.org/10.1016/j.procs.2019.11.172

Saad, M., Sarnon, M., Shahad, R., Shukri, M., & Hussain, A. 2015. Pump Operation Monitoring and Notification (PuMa) via Telegram Social Messaging Application. International Journal on Informatics Visualization Smart, 1(3), 57–60.

Telegram, 2020. Telegram Applications [Online] Tersedia di : https://telegram.org/apps/ [Accessed 11 November 2020]

Telegram, 2020. Telegram FAQ [Online] Tersedia di : https://telegram.org/faq/ [Accessed 11 November 2020]

Wardhono, Agus, and Stephen Spanos. 2018. Assessing English Speaking and Listening Skills With the Mobile Application Telegram. Indonesian EFL Journal: Journal of ELT, Linguistics, and Literature 4 (2), 147-74. http://ejournal.kopertais4.or.id/mataraman/index.php/efi/article/view/3636.

Rianto, R., Rahmatulloh, A. and Firmansah, T.A. 2019. Telegram Bot Implementation in Academic Information Services with The Forward Chaining Method. Sinkron : Jurnal dan Penelitian Teknik Informatika. 3, 2 (Mar. 2019), 73-78. DOI: https://doi.org/10.33395/sinkron.v3i2.10023.

B. N. Prastowo, N. A. S. Putro, and O. A. Dhewa, 2019. PLO User Interface based on Telegram Bot. IJCCS (Indonesian Journal of Computing and Cybernetics Systems), vol. 13, no. 1, pp. 21-30. DOI: https://doi.org/10.22146/ijccs.29089

C. Huda, F. A. Bachtiar, and A. A. Supianto, 2019. Reporting Sleepy Driver into Channel Telegram via Telegram Bot. In: Brawijaya University, International Conference on Sustainable Information Engineering and Technology (SIET). Lombok, Indonesia, 28-30 September 2019. IEEE: IEEE Xplore.

Muftinisa, Rosalina, R. Ginanjar, R. B. Wahyu, and N. Hadisukmana, 2018. Development and Implementation of Fixed Asset Management System. In: APTIKOM, International Conference on Informatics and Computing, ICIC 2017. Jayapura, Indonesia, 1-2 November 2017. IEEE: IEEE Xplore. DOI: 10.1109/IAC.2017.8280591.

Setiaji, Hari & Paputungan, Irving. 2018. Design of Telegram Bots for Campus Information Sharing. IOP Conference Series: Materials Science and Engineering. 325 012005.10.1088/1757-899X/325/1/012005.

Latif, U. K., & Kusumasari, T. F. 2018. Comparison Between Yii Frameworks and Laravel in 3 Different Version for Viewing Large Data of Shipyard Industry in Indonesia. International Journal of Innovation in Enterprise System, 2(01), 13–18. https://doi.org/10.25124/ijies.v2i01.12

Supriyono, S. 2020. Software Testing with the approach of Black Box Testing on the Academic Information System. International Journal of Information System and Technology, 3(2), 227–233.

Alroobaea, R., & Mayhew, P. J. 2014. How many participants are really enough for usability studies? Proceedings of 2014 Science and Information Conference, SAI 2014, August, 48–56. https://doi.org/10.1109/SAI.2014.6918171

Kurniawan, E., & Syahputra, A. K. 2020. Usability Testing on The Asahan Covid-19 Web Portal using System Usability Scale (SUS). International Conference on Social, Sciences and Information Technology, 4509, 131–140.

Bangor, Aaron, Philip Kortum, and James Miller, 2009. Determining what individual SUS scores mean: Adding an adjective rating scale. Journal of usability studies, vol 4, no. 3, pp 114-123.

Baehre, S., O’Dwyer, M., O’Malley, L., & Lee, N. 2021. The use of Net Promoter Score (NPS) to predict sales growth: insights from an empirical investigation. Journal of the Academy of Marketing Science, 2021. https://doi.org/10.1007/s11747-021-00790-2

Grigore, 2020. What is a Good Net Promoter Score? (2020 NPS Benchmark) [Online] Tersedia di: https://www.retently.com/blog/good-net-promoter-score/ [Accessed November 11 2020]

Published
2021-12-30
How to Cite
Apriela Trirahma. (2021). Telegram Bot as a Data Collection Tool for Progress Reports in Area Mapping Progress Monitoring System. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 5(6), 1182 - 1192. https://doi.org/10.29207/resti.v5i6.3654
Section
Artikel Teknologi Informasi