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Information on the number of available parking slot capacity and trip routes to the destination parking area, and motivation in choosing a parking area location are parameters that can help two-wheeled vehicle users choose the right parking area location. The three parameters that determine the accuracy of selecting a parking area location are implemented in an Internet of Things (IoT) based smart parking system. This system can provide information about the maximum number of slot capacities and the number of available slot capacities at the parking area. Two-wheeled riders are given information about which route to take to the destination parking area by utilizing the Location-Based Service (LBS). These two features are then supported by applying the gamification method to motivate two-wheeled riders to choose the right parking area. The smart parking system is tested with considered Quality of Service (QoS) parameter and black box testing. The results of testing the smart parking system produce QoS performance on the Line of Sight (LOS) test, with an average delay is 71.66 ms, average jitter is 107.59 ms, and throughput is 23 kbps. Meanwhile, in the non-LOS test, the average delay is 132.88 ms, the average jitter is 200.84 ms, and the throughput is 12 kbps. Overall system performance obtained the percentage of reliability is 99.65 %, and availability is 99.65 %. In black-box testing, LBS and gamification methods can implement according to application requirements specifications.
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 Badan Pusat Statistik, “Statistik Transportasi Darat 2019,” 2019.
 M. Ramli, T. Sundari, and V. Halfiani, “Mathematical Optimization Model of Parking Capacity for Parking Area in Triangular Shape,” in Proc. - 2nd 2018 Int. Conf. Electr. Eng. Informatics, ICELTICs 2018, pp. 164–167, 2018, doi: 10.1109/ICELTICS.2018.8548781.
 B. M. Mahendra, S. Sonoli, N. Bhat, Raju, and T. Raghu, “IoT based sensor enabled smart car parking for advanced driver assistance system,” in RTEICT 2017 - 2nd IEEE Int. Conf. Recent Trends Electron. Inf. Commun. Technol. Proc., vol. 2018-Janua, pp. 2188–2193, 2017, doi: 10.1109/RTEICT.2017.8256988.
 H. Herdiansyah et al., “Capacity Analysis of Parking Lot and Volume of Vehicle Toward Sustainable Parking Convenience,” IOP Conf. Ser. Earth Environ. Sci., vol. 88, no. 1, 2017, doi: 10.1088/1755-1315/88/1/012031.
 R. Grodi, D. B. Rawat, and F. Rios-Gutierrez, “Smart parking: Parking occupancy monitoring and visualization system for smart cities,” in Conf. Proc. - IEEE SOUTHEASTCON, vol. 2016-July, pp. 1–5, 2016, doi: 10.1109/SECON.2016.7506721.
 K. Duggal, L. Raj Gupta, and S. Ammu, “Gamification Leads to Smart Parking,” Int. J. Comput. Appl., vol. 144, no. 10, pp. 5–9, 2016, doi: 10.5120/ijca2016910444.
 M. Sailer, J. U. Hense, S. K. Mayr, and H. Mandl, “How gamification motivates: An experimental study of the effects of specific game design elements on psychological need satisfaction,” Comput. Human Behav., vol. 69, pp. 371–380, 2017, doi: 10.1016/j.chb.2016.12.033.
 E. S. Wahyuningtyas, I. R. Munadi, and S. S. Si, “Aplikasi Smart Parking Berbasis Android Menggunakan Sensor Radio Frequency Identification (RFID) di Universitas Telkom,” 2019.
 G. W. Sasmito and F. Hadiansah, “Implementasi Location Based Service Rute Objek Wisata Tegal,” J. INFOTEL, vol. 7, no. 2, p. 107, 2015, doi: 10.20895/infotel.v7i2.37.
 D. Zhang, A. Liu, G. Jin, and Q. Li, “Edge-based shortest path caching for location-based services,” in Proc. - 2019 IEEE Int. Conf. Web Serv. ICWS 2019 - Part 2019 IEEE World Congr. Serv., pp. 320–327, 2019, doi: 10.1109/ICWS.2019.00060.
 A. Martens and W. Mueller, “Gamification - A structured analysis,” in Proc. - IEEE 16th Int. Conf. Adv. Learn. Technol. ICALT 2016, pp. 138–142, 2016, doi: 10.1109/ICALT.2016.72.
 D. Basten, “Gamification,” IEEE Softw., no. September/, pp. 76–81, 2017.
 J. J. Barriga et al., “Smart parking: A literature review from the technological perspective,” Appl. Sci., vol. 9, no. 21, 2019, doi: 10.3390/app9214569.
 Anusha, M. S. Arshitha, Anushri, and G. ; Bishtannavar, “Review Paper on Smart Parking System,” Int. J. Eng. Res. Technol., vol. 7, no. 08, 2019.
 K. Rajalakshmi and M. Goyal, “Location-based services: Current state of the art and future prospects,” Lect. Notes Electr. Eng., vol. 472, pp. 625–632, 2018, doi: 10.1007/978-981-10-7395-3_69.
 J. Hamari, J. Koivisto, and H. Sarsa, “Does Gamification Work? — A Literature Review of Empirical Studies on Gamification,” in Proc. Annu. Hawaii Int. Conf. Syst. Sci., 2014, doi: 10.1109/HICSS.2014.377.
 Z. H. Ali, H. A. Ali, and M. M. Badawy, “Internet of Things (IoT): Definitions, Challenges and Recent Research Directions,” Int. J. Comput. Appl., vol. 128, no. 1, 2015, doi: 10.5120/ijca2015906430.
 ITU-T, Y.2060: An overview of internet of things. 2012.
 M. Nitti, V. Pilloni, G. Colistra, and L. Atzori, “The Virtual Object as a Major Element of the Internet of Things: A Survey,” IEEE Commun. Surv. Tutorials, vol. 18, no. 2, pp. 1228–1240, 2015, doi: 10.1109/COMST.2015.2498304.
 I. Ahmad et al., “Current technologies and location based services,” in 2017 Internet Technol. Appl. ITA 2017 - Proc. 7th Int. Conf., pp. 299–304, 2017, doi: 10.1109/ITECHA.2017.8101958.
 ITU-T, E.800: Definitions of terms related to quality of service. 2009.
 ETSI, Telecommunications and Internet Protocol Harmonization Over Networks (TIPHON); General aspects of Quality of Service (QoS). 1999.
 D. J. Trujillo and C. J. B. Scharmer, “Reliability, Availability, and Maintainability Considerations in the Design and Evaluation of Physical Security Systems,” pp. 1–12, 2012.
 S. Nidhra and J. Dondeti, “Black Box and White Box Testing Techniques - A Literature Review,” Int. J. Embed. Syst. Appl., vol. 2, no. 2, pp. 29–50, 2012, doi: 10.5121/ijesa.2012.2204.
 C. R. Chethan, N. Harshavardhan, and H. L. Gururaj, “Performance Evaluation of Line of Sight (LoS) in Mobile Ad hoc Networks,” Int. J. Sci. Eng. Res., vol. 10, no. 5, 2019, doi: 10.1007/978-981-15-3215-3_12.