Pengembangan Aplikasi Android Penghimpun Data Ekonomi Nasional Berbasis Crowdsourcing

  • Indra Azimi Program Studi Teknik Informatika, Fakultas Ilmu Terapan, Telkom University
  • Aulia Azimi Program Studi Ekonomi Islam, Fakultas Syariah dan Ekonomi Islam, IAIN Pontianak

Abstract

The right decision in national economy sector can only be obtained with excellent national economic data quality. Unfortunately, the collection process of true, accurate and complete national data is still expensive and time-consuming. Therefore, this study offers crowdsourcing as an alternative method towards the collection process of national data with low cost and dynamic. With case study basic commodity prices data collection nationwide, this method proved to empower the public as the owner of the data on self-reported commodities price in their region through an Android application, available for free on Google Play Store. This study was conducted for a year starting from January 2 to December 31, 2015. At the end of the study period, there were 7,442 people who have participated actively with an even distribution in all provinces in Indonesia. The amount of new user is 34 people per day with data entry is more than 400 data per day, and continues to increase.

Downloads

Download data is not yet available.

References

[1] E. Estellés-Arolas and L.-G. Fernando González, “Towards an integrated crowdsourcing definition,” vol. 38, no. 2, pp. 189–200, 2012.
[2] J. Howe, How the power of the crowd is driving the future of business. 2008.
[3] Z. Matthew, G. Mark, S. Taylor, and G. Sean, “Volunteered geographic information and crowdsourcing disaster relief: a case study of the Haitian earthquake,” vol. 2, no. 2, pp. 7–33, 2010.
[4] A. Rai, K. K. Chintalapudi, V. N. Padmanabhan, and R. Sen, “Zee: Zero-Effort Crowdsourcing for Indoor Localization,” in Proceedings of the 18th annual international conference on Mobile computing and networking - Mobicom ’12, 2012, p. 293.
[5] M. Figliozzi and B. Bryan, “Evaluating the Use of Crowdsourcing as a Data Collection Method for Bicycle Performance Measures and Identification of Facility Improvement Needs,” 2015.
[6] B. Assemi, D. Schlagwein, H. Safi, and M. Mesbah, “Crowdsourcing as a method for the collection of revealed preference data,” Proc. - 9th IEEE Int. Symp. Serv. Syst. Eng. IEEE SOSE 2015, vol. 30, pp. 378–382, 2015.
[7] S. Kemp, “Digital , Social & Mobile in 2015,” We are social, no. January. pp. 1–375, 2015.
[8] K. Selvarajah, M. P. Craven, A. Massey, J. Crowe, K. Vedhara, and N. Raine-Fenning, “Native apps versus web apps: Which is best for healthcare applications?,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 8005 LNCS, no. PART 2, pp. 189–196, 2013.
[9] A. Charland and B. Leroux, “mobile application Development : Web vs . native,” Commun. ACM, vol. 54, pp. 0–5, 2011.
[10] Statista Inc., “Market share held by mobile operating systems in Indonesia from January 2012 to July 2015.” 2015.
[11] Android-Developers, “Platform Versions.” 2012.
[12] A. Tongaonkar, S. Dai, A. Nucci, and D. Song, Understanding mobile app usage patterns using in-app advertisements, vol. 7799 LNCS. 2013.
[13] D. Persentase, “Distribusi Persentase Penduduk menurut Provinsi, 2000-2014.” p. 2035, 2014.
Published
2016-03-30
How to Cite
AZIMI, Indra; AZIMI, Aulia. Pengembangan Aplikasi Android Penghimpun Data Ekonomi Nasional Berbasis Crowdsourcing. Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, [S.l.], p. 61-70, mar. 2016. ISSN 2541-5832. Available at: <https://ojs.unud.ac.id/index.php/lontar/article/view/20499>. Date accessed: 25 nov. 2024. doi: https://doi.org/10.24843/LKJITI.2016.v07.i01.p07.
Section
Articles

Keywords

Android; crowdsourcing; pengumpulan data; data ekonomi nasional