Deteksi Citra Kendaraan Berbasis Web Menggunakan Javascript Framework Library
DOI:
https://doi.org/10.30812/matrik.v18i1.325Keywords:
Internet of things, javascript detection library, kemacetan jalanAbstract
Populasi penduduk yang semakin berkembang menyebabkan tingginya kemacetan jalan. Kemacetan terjadi karena jumlah kendaraan yang beroperasi tidak sebanding dengan volume jalan yang tersedia. Pemerintah sebagai pelaksana pelayanan bagi masyarakat belum mampu memberikan informasi lalu lintas yang memadai. Masyarakat membutuhkan informasi kondisi lalu lintas secara realtime, otomatis dan mudah diakses menggunakan internet. Penelitian ini bertujuan untuk memberikan informasi jumlah kendaraan dengan konsep internet of things menggunakan javascript detection library. Penelitian ini terdiri dari beberapa tahapan penelitian antara lain: survei & identifikasi, analisis data, training data, dan pengembangan aplikasi menggunakan javascript framework library. Hasil yang didapatkan adalah aplikasi mampu mendeteksi citra kendaraan berdasarkan xml training dari Matlab sebesar 95%.
Downloads
Download data is not yet available.
References
[1] D. H. U. Ningsih, “Analisa Optimasi Jaringan Jalan Berdasar Kepadatan Lalulintas di Wilayah Semarang dengan Berbantuan Sistem Informasi Geografi,†Din.-J. Teknol. Inf., vol. XV, pp. 121–135, Jul. 2010
[2] D. H. U. Ningsih, “Analisa Optimasi Jaringan Jalan Berdasar Kepadatan Lalulintas di Wilayah Semarang dengan Berbantuan Sistem Informasi Geografi,†Din.-J. Teknol. Inf., vol. XV, pp. 121–135, Jul. 2010
[3] T. Tambunan, “Kondisi Infrastruktur Indonesia.†Kadin Indonesia, Apr-2006. W. Sediono and D. Handoko, “Pemodelan dan simulasi antrian kendaraan di gerbang tol,†presented at the Semiloka Teknologi Simul asi dan Komputasi serta Aplikasi, 2004
[4] “Undang Undang No. 14 Tahun 1992 Tentang : Lalu Lintas Dan Angkutan Jalan.†May-1992
[5] “Highway Capacity Manual Indonesia.†Directorate General Bina Marga
[6] M. Z. Irawan, T. Sumi, and A. Munawar, “Implementation of the 1997 Indonesian Highway Capacity Manual (MKJI) Volume Delay Function,†J. East. Asia Soc. Transp. Stud., vol. 8, pp. 350–360, 2010
[7] “Pengukuran Kepadatan Arus Lalu Lintas Menggunakan Sensor Kamera,†ResearchGate.[Online].Available: https://www.researchgate.net/publication/43940251_Pengukuran_Kepadatan _Arus_Lalu_Lintas_Menggunakan_Sensor_Kamera. [Accessed: 09-Jun-2017]
[8] “Intelligent Transportation Systems.†[Online]. Available: http://www.kritikalsolutions.com/intelligent-transportation-systems. [Accessed: 09-Jun-2017]
[9] S. Taghvaeeyan and R. Rajamani, “Portable Roadside Sensors for Vehicle
[10] Counting, Classification, and Speed Measurement,†IEEE Trans. Intell. Transp. Syst., vol. 15, no. 1, pp. 73–83, Feb. 2014
[11] L. Shoufeng, W. Jie, H. van Zuylen, and L. Ximin, “Deriving the Macroscopic Fundamental Diagram for an urban area using counted flows and taxi GPS,†in 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013, pp. 184–188
[12] P. Srinivas and Y. L. Malathilatha, Image Processing Edge Detection Technique used for Traffic Control Problem
[13] R. Zhang, Z. Li, C. Feng, and S. Jiang, “Traffic Routing Guidance Algorithm Based on Backpressure with a Trade-Off between User Satisfaction and Traffic Load,†in 2012 IEEE Vehicular Technology Conference (VTC Fall), 2012, pp. 1–5
[14] A. Padiath, L. Vanajakshi, S. C. Subramanian, and H. Manda, “Prediction of traffic density for congestion analysis under Indian traffic conditions,†in 12th International IEEE Conference on Intelligent Transportation Systems, 2009. ITSC ’09, 2009, pp. 1–6.
[2] D. H. U. Ningsih, “Analisa Optimasi Jaringan Jalan Berdasar Kepadatan Lalulintas di Wilayah Semarang dengan Berbantuan Sistem Informasi Geografi,†Din.-J. Teknol. Inf., vol. XV, pp. 121–135, Jul. 2010
[3] T. Tambunan, “Kondisi Infrastruktur Indonesia.†Kadin Indonesia, Apr-2006. W. Sediono and D. Handoko, “Pemodelan dan simulasi antrian kendaraan di gerbang tol,†presented at the Semiloka Teknologi Simul asi dan Komputasi serta Aplikasi, 2004
[4] “Undang Undang No. 14 Tahun 1992 Tentang : Lalu Lintas Dan Angkutan Jalan.†May-1992
[5] “Highway Capacity Manual Indonesia.†Directorate General Bina Marga
[6] M. Z. Irawan, T. Sumi, and A. Munawar, “Implementation of the 1997 Indonesian Highway Capacity Manual (MKJI) Volume Delay Function,†J. East. Asia Soc. Transp. Stud., vol. 8, pp. 350–360, 2010
[7] “Pengukuran Kepadatan Arus Lalu Lintas Menggunakan Sensor Kamera,†ResearchGate.[Online].Available: https://www.researchgate.net/publication/43940251_Pengukuran_Kepadatan _Arus_Lalu_Lintas_Menggunakan_Sensor_Kamera. [Accessed: 09-Jun-2017]
[8] “Intelligent Transportation Systems.†[Online]. Available: http://www.kritikalsolutions.com/intelligent-transportation-systems. [Accessed: 09-Jun-2017]
[9] S. Taghvaeeyan and R. Rajamani, “Portable Roadside Sensors for Vehicle
[10] Counting, Classification, and Speed Measurement,†IEEE Trans. Intell. Transp. Syst., vol. 15, no. 1, pp. 73–83, Feb. 2014
[11] L. Shoufeng, W. Jie, H. van Zuylen, and L. Ximin, “Deriving the Macroscopic Fundamental Diagram for an urban area using counted flows and taxi GPS,†in 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013, pp. 184–188
[12] P. Srinivas and Y. L. Malathilatha, Image Processing Edge Detection Technique used for Traffic Control Problem
[13] R. Zhang, Z. Li, C. Feng, and S. Jiang, “Traffic Routing Guidance Algorithm Based on Backpressure with a Trade-Off between User Satisfaction and Traffic Load,†in 2012 IEEE Vehicular Technology Conference (VTC Fall), 2012, pp. 1–5
[14] A. Padiath, L. Vanajakshi, S. C. Subramanian, and H. Manda, “Prediction of traffic density for congestion analysis under Indian traffic conditions,†in 12th International IEEE Conference on Intelligent Transportation Systems, 2009. ITSC ’09, 2009, pp. 1–6.
Additional Files
Published
2018-11-30
Issue
Section
Articles
How to Cite
[1]
J. Budiarto and J. Qudsi, “Deteksi Citra Kendaraan Berbasis Web Menggunakan Javascript Framework Library”, MATRIK, vol. 18, no. 1, pp. 125–133, Nov. 2018, doi: 10.30812/matrik.v18i1.325.
Similar Articles
- Lalu Zazuli Azhar Mardedi, Khairan Marzuki, Rancang Bangun Jaringan Komputer LAN Berdasarkan Perbandingan Kinerja Routing Protokol EIGRP dan Routing Protokol OSPF , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 18 No. 2 (2019)
- Imamah Imamah, Akhmad Siddiqi, Penerapan Teorema Bayes untuk Mendiagnosa Penyakit Telinga Hidung Tenggorokan (THT) , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 18 No. 2 (2019)
- Michelle Cantika Pontoan, Jay Idoan SIhotang, Erienika Lompoliu, Information Security Analysis of Online Education Management System using Information Technology Infrastructure Library Version 3 , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 2 (2023)
- Achmad Rian Tarmizi, Ahmat Adil, Lilik Widyawati, Optimization of The use of Wireless Lan Devices to Minimize Operational Costs , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 2 (2020)
- Matrissya Hermita, Budi Hermana, Suryadi Harmanto, Adang Suhendra, Munawir Pasaribu, Social Media Engagement and Student’s Intention in Indonesian Higher Education Using Unified Theory of Acceptance and Use of Technology , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 3 (2023)
- Sepyan Purnama Kristanto, Lutfi Hakim, Ekstraksi Informasi Destinasi Wisata Populer Jawa Timur Menggunakan Depth-First Crawling , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Indra Indra, Nur Aliza, Detecting Disaster Trending Topics on Indonesian Tweets Using BNgram , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 1 (2023)
- Frans Mikael Sinaga, Sio Jurnalis Pipin, Sunaryo Winardi, Karina Mannita Tarigan, Ananda Putra Brahmana, Analyzing Sentiment with Self-Organizing Map and Long Short-Term Memory Algorithms , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 1 (2023)
- Argo Wibowo, SIMPLIFIKASI LIST ANDROID DENGAN PENGGUNAAN HASHMAP , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 16 No. 2 (2017)
- Dela Ananda Setyarini, Agnes Ayu Maharani Dyah Gayatri, Christian Sri Kusuma Aditya, Didih Rizki Chandranegara, Stroke Prediction with Enhanced Gradient Boosting Classifier and Strategic Hyperparameter , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 2 (2024)
You may also start an advanced similarity search for this article.
.png)
