PEMODELAN SISTEM DETEKSI WAJAH SEBAGAI PENGHITUNG JUMLAH PENUMPANG TRANSPORTASI PUBLIK
Keywords:deteksi wajah, viola-jones, raspberry pi, penghitung jumlah penumpang otomatis, adaboost, cascade classifier
Bus is one of public transportation and as the most preferable by Indonesian to support their mobility. The high number of bus traffics then demands the bus management to provide the maximum service for their passenger, in order to gain public trust. Unfortunately, in the reality passenger list’s fraud is often faced by the bus management, there is a mismatch list between the amount of deposits made by bus driver and the number of passengers carried by the bus, and as the result it caused big loss for the Bus management. Automatic Passenger Counting (APC) then as an artificial intelligence program that is considered to cope with the bus management problems. This research carried out an APC technology based on passenger face detection using the Viola-Jones method, which is integrated with an embedded system based on the Internet of Things in the processing and data transmission. To detect passenger images, a webcam is provided that is connected to the Raspberry pi which is then sent to the server via the Internet to be displayed on the website provided. The system database will be updated within a certain period of time, or according to the stop of the bus (the system can be adjusted according to management needs). The system will calculate the number of passengers automatically; the bus management can export passenger data whenever as they want. There are 3 main points in the architecture of modeling system, they are information system design, device architecture design, and face detection mechanism design to calculate the number of passengers. A system design test is carried out to assess the suitability of the system being built with company needs. Then, based on the questionnaire distributed to the respondent, averagely 85.12 % claim that the Face detection system is suitability. The score attained from 4 main aspects including interactivity, aesthetics, layout and personalization
A. S. A. Nasir, N. K. A. Gharib, and H. Jaafar, “Automatic Passenger Counting System Using Image Processing Based on Skin Colour Detection Approach,” in International Conference on Computational Approach in Smart Systems Design and Applications, ICASSDA 2018, 2018, pp. 1–8, doi: 10.1109/ICASSDA.2018.8477628.
J. I. Sojol, N. Ferdous, S. Sadman, and T. Motahar, “Smart Bus: An Automated Passenger Counting System,” Int. J. Pure Appl. Math., vol. 118, no. 18, pp. 3169–3177, 2018, [Online]. Available: https://www.researchgate.net/publication/323027620_Smart_Bus_An_Automated_Passenger_Counting_System.
A. Olivo, G. Maternini, and B. Barabino, “Empirical Study on the Accuracy and Precision of Automatic Passenger Counting in European Bus Services,” Open Transp. J., vol. 13, no. 1, pp. 250–260, 2019, doi: 10.2174/1874447801913010250.
F. Li, F.-W. Yang, H.-W. Liang, and W.-M. Yang, “Automatic Passenger Counting System for Bus Based on RGB-D Video,” Adv. Eng. Res., vol. 117, pp. 209–220, 2017, doi: 10.2991/eeeis-16.2017.29.
B. Yuliandra and Tjokorda Agung Budi, “People Counting menggunakan Extended CAMSHIFT dan Fitur Haar-like People Counting using Extended CAMSHIFT and Haar-like Features,” in eProceedings of Engineering, 2015, pp. 1–10.
S. H. Khan, M. H. Yousaf, F. Murtaza, and S. Velastin, “Passenger Detection and Counting for Public Transport System,” NED Univ. J. Res., vol. XVII, no. 2, pp. 35–46, 2020, doi: 10.35453/nedjr-ascn-2019-0016.
P. Lengvenis, R. Simutis, V. Vaitkus, and R. Maskeliunas, “Application Of Computer Vision Systems For Passenger Counting In Public Transport,” Elektron. ir Elektrotechnika, vol. 19, no. 3, pp. 69–72, 2013, doi: 10.5755/j01.eee.19.3.1232.
A. Saputra, “Perancangan Power Saving Dengan Implementasi Face Detection Pada Komputer,” in Prosiding Seminar Nasional Fisika (E-Journal) SNF2016, 2016, vol. V, pp. SNF2016-CIP-109-SNF2016-CIP-114, doi: 10.21009/0305020121.
S. Purnamawati, R. F. Rahmat, and M. Santana, “Aplikasi Pendeteksi Wajah Manusia untuk Menghitung Jumlah Manusia,” Lentera, vol. 15, pp. 73–80, 2015.
I. G. . Widagna and I. K. Surakarta, “Pendeteksi Target Wajah Dengan Metode Viola-Jones,” Universitas Udayana, 2017.
A. Kumar, A. Kaur, and M. Kumar, “Face Detection Techniques: A Review,” Artif. Intell. Rev., vol. 52, no. 2, pp. 927–948, 2019, doi: 10.1007/s10462-018-9650-2.
P. Dwisnanto, B. Teguh, and Winduratna.B, “Sistem Deteksi Wajah dengan Menggunakan Metode Viola-Jones,” in Seminar Nasional “Science, Engineering and Technology,” 2012, pp. 1–5.
A. R. Syafira, “Sistem Deteksi Wajah Dengan Modifikasi Metode Viola Jones,” Emit. J. Tek. Elektro, vol. 17, no. 1, pp. 26–33, 2017, doi: 10.23917/emitor.v17i1.5964.
R. E. Putri, T. Matulatan, and N. Hayaty, “Sistem Deteksi Wajah Pada Kamera Realtime dengan menggunakan Metode Viola Jones,” J. Sustain. J. Has. Penelit. dan Ind. Terap., vol. 8, no. 1, pp. 30–37, 2019, doi: 10.31629/sustainable.v8i1.526.
Setyorini and F. S. Mukti, “Sistem Informasi Manajemen Taman Baca Masyarakat Pondok Sinau Lentera Anak Nusantara Berbasis Digital System Book QR Code,” J. Ilm. NERO, vol. 4, no. 3, pp. 165–171, 2019, doi: http://dx.doi.org/10.21107/nero.v4i3.135.
L. Farokhah and Y. A. Sapoetra, “Sistem Pengawasan Keuangan Badan Usaha Milik Desa (BUM Des) berbasis Android,” J. Sist. dan Teknol. Inf., vol. 6, no. 4, p. 206, 2018, doi: 10.26418/justin.v6i4.29097.
Setyorini and F. S. Mukti, “Pengujian Sistem Informasi Manajemen Taman Baca Masyarakat Pondok Sinau LENSA Menggunakan Metode McCall,” Teknomatika, vol. 12, no. 1, pp. 20–24, 2019, [Online]. Available: http://ejournal.unjaya.ac.id/index.php/Teknomatika/.
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