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All Journal Scientific Journal of Reflection : Economic, Accounting, Management and Business Jurnal Teknik Sipil-Arsitektur
Nur, Doni Haidar
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Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Engineering Transportation

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KLASIFIKASI DAN VOLUME KENDARAAN BINA MARGA DARI REKAMAN VIDEO LALULINTAS DENGAN METODE ARTIFICIAL INTELLIGENCE - YOLO V8 PADA JALAN TOL JAKARTA-BOGOR DAN JAKARTA-TANGERANG Nur, Doni Haidar; Darmadi, Darmadi
SCIENTIFIC JOURNAL OF REFLECTION : Economic, Accounting, Management and Business Vol. 7 No. 4 (2024): SCIENTIFIC JOURNAL OF REFLECTION: Economic, Accounting, Management, & Business
Publisher : Sekolah Menengah Kejuruan (SMK) Pustek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37481/sjr.v7i4.957

Abstract

The software helps solve things faster, e.g., Epanet software, Pipe Flow Expert, WaterCAD, SAP2000 planning software, etc. Likewise, in the field of calculating traffic volume with the development of artificial intelligence technology, using video recording, volume, and speed calculations can be done easily. At this time, the classification of traffic counting is only up to 3 (three) types of vehicles classified by YOLO V8, so in this research, the classification is added to be 6 (six) types of vehicles, namely mini cars, mobile passengers, small buses, big buses, small trucks, and large trucks, according to vehicle classification established in Indonesia. The research method is done by recording the traffic on the road and then video recording with the help of the software developed with the Python program so that the volume of the vehicle according to its classification is obtained. The result obtained from this research is compared to the manual traffic counting. The comparison between vehicle counting by the software and manual counting is mini-car 97.02%, passenger car 99.49%, small bus 96.94%, large bus 97.34%, small truck 93.21%, and large truck 97.18%.
TINJAUAN PERPANJANGAN DAN TEBAL PERKERASAN RUNWAY BANDAR UDARA SILAMPAR Mulat, Setyo; Nur, Doni Haidar
JURNAL TEKNIK SIPIL-ARSITEKTUR Vol. 24 No. 1 (2025): EDISI BULAN MEI 2025
Publisher : FTSP Universitas Jayabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54564/jtsa.v24i1.216

Abstract

Bandara Silampari melakukan pengembangan fasilitas terhadap panjang runway 2.220 m untuk melayani pesawat udara rencana Boeing 737-900 ER sehingga diperlukan tinjauan untuk analisa kebutuhan pengembangan dimaksud. Dengan menggunakan metoda ICAO Doc 9177 part 1 runway kebutuhan panjang runway didapat 3.120 m, menggunakan metoda grafik Flight Planing and Performane Manual Boeing 737-900 ER didapat 3.020 (Maximum Apron Mass) dan didapat 2.720 m (koreksi dari Maximum Apron Mass). Kemudian kebutuhan tebal perkerasan (Software FAAAIRFIELD) didapat susunan : P-401/P403 HMA surface = 4inch; P-401/P-403 HMA Stabilized = 5 inch; P-209 Crushed Aggregate = 6 inch; P-154 Uncrushed Aggregates = 17,9 inch dengan nilai PCN adalah 66,3 (software COMFAA) lebih besar dari ACN pesawat udara yaitu 56 dengan Comulative Demage Factor : 0,2722 < 1, serta adanya kebutuhan peningkatan fasilitas/perlatan lainnya. Mempertibangkan proyeksi linear annual depature sampai tahun 2034 hanya 580 maka perpanjangan yang diperlukan adalah 2.720 – 2,220 = 500 m, Untuk kebutuhan tebal perkerasan base dapat dilakukan pengurangan mengingat hasil dari desain PCN 66 > ACN 56. 
Co-Authors Darmadi Darmadi Mulat, Setyo Parbowo, Heru