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Journal : Jurnal Teknologi

RANCANG BANGUN APLIKASI E-LEARNING Erma Susanti; Muhammad Sholeh
Jurnal Teknologi Vol 1 No 1 (2008): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknologi Industri, Universitas AKPRIND Indonesia

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Abstract

Proses belajar mengajar saat ini, tidak hanya mengandalkan perkuliahan yang diselenggarakan di kelas , tetapjuga menggunakan media yang lain. . Media ICT dapat digunakan sebagai salah satu bentuk penyebaran materiperkuliahan. E-Learning sangat potensial untuk membuat proses belajar lebih efektif sebab peluang mahasiswauntuk berinteraksi dengan guru, teman, maupun bahan belajarnya terbuka lebih luas. Mahasiswa dapatmengakses bahan kuliah melalui media Internet. Manfaat lain dengan adanya E-Learning adalah adanya forumyang dapat dipakai sebagai sarana diskusi antara mahasiswa dengan dosen
Pemodelan Identifikasi Objek Kendaraan Bermotor Menggunakan Faster Region based Convolutional Neural Network (R-CNN) Berbasis Python Arum Kumalasanti, Rosalia; Susanti, Erma
Jurnal Teknologi Vol 17 No 1 (2024): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v17i1.4727

Abstract

The vehicles are currently experiencing a surge in number and variation. This is evident from the kinds of vehicles that are passing through the highway area. The rise in the number of motorized vehicles will surely give a squeeze to the traffic density. The increase in the number of motor vehicles is one of the biggest factors in the impact of the congestion. The congestion can also cause damage to the highway. It's supposed to be the focus of the local government in dealing with the problem. Each road point has its own potential, so it is necessary to have a calculation in identifying the number of vehicles and the type of vehicles that are slipped on the road. Motor vehicle identification can be solved using the Faster Region based Convolutional Neural Network approach. Faster R-CNN is a deep learning architecture used to detect inside computers. Research will run at several highway points to take samples of video at a certain time, for identified the type of vehicle. Vehicle labelling will facilitate the calculation of the number of vehicles crossing the road in a given unit of time. The vehicle identification needs are used to see the density of the highway so that it can help the local government in making the right decision or solution to reduce the traffic density. The results of research such as quantitative data can be easily used to give the right picture and decision.
Co-Authors -, Suraya ., Kumalasanti Afifah Dzuriatun Khasanah Agus Aan Jiwa Permana Agusalim Syamsudin Pure Almuntaha, Eska Amir Hamzah Amir Hamzah Ardhin Primadewi Ariyana, Renna Yanwastika Armizi, Armizi Arum, Rosalia Brilly Lutfan Qasthari Dahlia, Reski Dina Liana Dini Pujiatin Dino Rahman Sya'bani Edhy Sutanta (Jurusan Teknik Informatika IST AKPRIND Yogyakarta) Efendi, Endang Eko Nur Cahyo Eko Nur Cahyo Erfanti Fatkhiyah Erna Kumalasari Erna Kumalasari Nurnawati Erna Kumalasari Nurnawati Fadhila Tangguh Admojo Fitrianingsih, Ari Gustian Rohendi Hae Isnapoh Maykel Yoseph Hanafi Eko Kurniawan Hen i Putriningtyas Huzain Azis Ika Arfiani Ikramullah, Ahmad Saleh Kafrawi Kafrawi Khabib Mustofa Khasanah, Rahayu Kumalasanti . Kurniawan, Hanafi Eko Luay Nabila El Suffa Lucio Almeida Da Costa Maimunah, Maimunah Masriani . Muhammad Ardi Setiawan Muhammad Rizqy Ath-Thaariq Muhammad Rizqy Ath-Thaariq MUHAMMAD SHOLEH Muhammad Sholeh Muhammadiyah, Muhammadiyah Muntaha Nega Napratilora, Martina Nurmala Eka Safitri Nuryati, Istin Oktavia, Yunika Putri Pradnyana, I Wayan Julianta Prita Haryani Pujiatin, Dini Purnomo, Tuessi Ari Rafi, Naufal Fajar Renna Yanwastika Ariyana5 Ria Mega Lestari Riki Apriadi Riki Apriadi Ririn Septrisulviani Rosalia Arum Rosalia Arum Kumalasanti Rr. Yuliana Rachmawati Rr. Yuliana Rachmawati RR. Yuliana Rachmawati Sambuari , Meychel Danius Fedrix Sani, Faozan Asrul Saniyah, Saniyah Satrio Muslim Wibowo Septian Efendi Septrisulviani, Ririn Setiawan, Akhmad Fajar Setiya Nugroho Sholeh, Muhammad Siami, M. Ikbal Siti Saudah Sunia Raharja, I Made Suraya - Suwanto Raharjo Syarifudin Tarigan, Thomas Edyson Taufiqur Rohman Ticker Th, Elfrid Uning Lestari Wibowo, Satrio Muslim Windyaning Ustyannie Wulansari, Nidia