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All Journal Jurnal Teknologi dan Manajemen Informatika TEKNOLOGI: Jurnal Ilmiah Sistem Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Teknologi dan Sistem Komputer Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer INTEGER: Journal of Information Technology Teknika: Engineering and Sains Journal Knowledge Engineering and Data Science JICTE (Journal of Information and Computer Technology Education) SMARTICS Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Konvergensi Jurnal Sisfokom (Sistem Informasi dan Komputer) INTECOMS: Journal of Information Technology and Computer Science JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Antivirus : Jurnal Ilmiah Teknik Informatika Journal of Information System,Graphics, Hospitality and Technology Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Teknika Teknika Journal of Electrical Engineering and Computer (JEECOM) Best : Journal of Applied Electrical, Science and Technology Insyst : Journal of Intelligent System and Computation J-Intech (Journal of Information and Technology) Joutica : Journal of Informatic Unisla Jurnal Nasional Teknik Elektro dan Teknologi Informasi Insand Comtech : Information Science and Computer Technology Journal Jurnal Indonesia Sosial Teknologi JEECS (Journal of Electrical Engineering and Computer Sciences) Eksplorasi Teknologi Enterprise & Sistem Informasi (EKSTENSI) EduTech Journal
Endang Setyati
Institut Sains Dan Teknologi Terpadu Surabaya
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Jurnal Teknika

 1 
Model CNN Lenet Dalam Pengenalan Jenis Golongan Kendaraan Pada Jalan Tol Anggay Luri Pramana; Endang Setyati; Yosi Kristian
Jurnal Teknika Vol 12, No 2 (2020): Jurnal Teknika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/jt.v13i2.469

Abstract

Research in the field of transportation, especially vehicle classification with various methods, is a widely developed field of study. Vehicles can be categorized by shape, dimension, logo, and  type. The vehicle dataset is also not difficult to find because it is general in nature. Based on the research that has been done, the introduction of group types based on the number of axles with CNN, the dataset is not yet available to the public. In this paper, we discuss the introduction of the types of groups using the Convolutional Neural Network method. The architecture used is the LeNet model. The trial scenario is carried out in 4 stages, namely 25 epochs, 50 epochs, 75 epochs and 100 epochs. Based on the test results, the accuracy obtained continues to increase at 50 epochs and 100 epochs iterations. Starting from an accuracy of 82%, 94% to the highest accuracy of 95%. Likewise in the prediction the data has increased from 80%, 85% to the highest accuracy that can be 86%. From 50 epochs to 75 epochs, the accuracy of both training and testing has decreased.
Model CNN Lenet Dalam Pengenalan Jenis Golongan Kendaraan Pada Jalan Tol Anggay Luri Pramana; Endang Setyati; Yosi Kristian
Jurnal Teknika Vol 12 No 2 (2020): Jurnal Teknika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/jt.v13i2.469

Abstract

Research in the field of transportation, especially vehicle classification with various methods, is a widely developed field of study. Vehicles can be categorized by shape, dimension, logo, and  type. The vehicle dataset is also not difficult to find because it is general in nature. Based on the research that has been done, the introduction of group types based on the number of axles with CNN, the dataset is not yet available to the public. In this paper, we discuss the introduction of the types of groups using the Convolutional Neural Network method. The architecture used is the LeNet model. The trial scenario is carried out in 4 stages, namely 25 epochs, 50 epochs, 75 epochs and 100 epochs. Based on the test results, the accuracy obtained continues to increase at 50 epochs and 100 epochs iterations. Starting from an accuracy of 82%, 94% to the highest accuracy of 95%. Likewise in the prediction the data has increased from 80%, 85% to the highest accuracy that can be 86%. From 50 epochs to 75 epochs, the accuracy of both training and testing has decreased.
Co-Authors Abdur Rouf Achmad Firman Choiri Agung Adi Saptomo Agung Dewa Bagus Soetiono Ajeng Restu Kusumastuti Akhmad Solikin Andi Sanjaya Andi Sanjaya Andriyanto, Pyepit Rinekso Anggay Luri Pramana Arif Priyambodo Azis Suroni Budi, Rizal Devi Dwi Purwanto Dicka Y Kardono Edwin Pramana Eko Mulyanto Yuniarno Elis Fitrianingsih Esther Irawati Setiawan Fachrul Kurniawan Farkhan, Muhammad Febriantoro, Erfan Fery Satria Kristianto Fitrianingsih, Elis Francisca H Chandra Francisca Haryanti Chandra Gunawan Gunawan Gunawan Gunawan, Tjwanda Putera Hans Keven Budi Prakoso Harianto, Reddy Alexandro Hatem Alsadeg Ali Salim Hendrawan Armanto Herman Budianto Honoris Setiahadi Ine Juniwati Joan Santoso Kartika, Bara Alpa Yoga Kholilul Rohman Kurniawan Lilis Setyaningsih Luhfita Tirta Lukman Zaman Luqman Zaman M. Najamudin Ridha Masrur Anwar Mauridhi Hery Purnomo Maysas Yafi' Urrochman Mochamad Hariadi Muhammad Farkhan Muhammad Turmudzi Nafi'iyah, Nur Novi Duwi Setyorini Peter Winardi Pranama, Edwin Raden Mohamad Herdian Bhakti Rafliana Natalia da Silva Raymond Sutjiadi Reddy Alexandro Harianto Resmana Lim Retno Wardhani Rusina Widha Febriana Salim, Shierly Kartika San, Joan Santoso, Elkana Lewi Soetiono, Agung Dewa Bagus Subroto Prasetya Hudiono Sugiarto, Raymond Suharyono Az Suhatati Tjandra Supandik, Ujang Joko Surya Sumpeno Suyuti, Mahmud Tjwanda Putera Gunawan Tri Septianto Tuesday saka gustaf Udkhiati Mawaddah Uliontang Uliontang Wahyudi, Nanang Yosi Kristian Yuliana Melita Pranoto Yulius Widi Nugroho Yunita, Helda Zaman, Luqman