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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor Journal of ICT Research and Applications ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JOIV : International Journal on Informatics Visualization Jurnal Komputer Terapan INOVTEK POLBENG INTEK: Jurnal Penelitian J-Dinamika: Jurnal Pengabdian Kepada Masyarakat DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Mantik MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Jurnal Nasional Teknik Elektro dan Teknologi Informasi Publikasi Hasil Pengabdian Kepada Masyarakat. International Conference on Sciences Development and Technology Jurnal ELTEK Enrichment: Journal of Multidisciplinary Research and Development Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal ELTEK The Indonesian Journal of Computer Science
Amang Sudarsono, Amang
Politeknik Elekronika Negeri Surabaya
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Journal : Jurnal Komputer Terapan

 1 
Implementasi Metode LightGBM Untuk Klasifikasi Kondisi Abnormal Pada Pengemudi Sepeda Motor Berbasis Sensor Smartphone R Rizki Rachmadi; Amang Sudarsono; Tri Budi Santoso
Jurnal Komputer Terapan Vol. 7 No. 2 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.912 KB) | DOI: 10.35143/jkt.v7i2.5164

Abstract

Traffic accident is one of the most significant contributors which makes the death number is increasing around the world. With the demographic condition from Indonesia, motorcycle driver is the types of the driver that dominated the traffic, therefore increasing the probability of caught in a traffic accident The existing Vehicle Activity Detection System (VADS) mainly focused on the car driver, with the main problem is that the computational time from the system is too high to be implemented on a real-time condition. To solve this problem, in this research, a classification system for abnormal driving behavior from motorcycle drivers is created, using Light Gradient Boosting Machine (LightGBM) model. The system is designed to be lightweight in computation and very fast in response to the changes of the activities with a high velocity. To train the LightGBM model, the data from Accelerometer and Gyroscope sensor, that has been integrated into a smartphone, will be used to detect the movement from a driver. The accuracy rate from the proposed model is reaching 82% on the test dataset and shows a promising result of around 70% on the real-time detection process. With a computational time of around 10ms, the proposed system is able to work 5 times faster than the existing system.
Co-Authors Abd. Rasyid Syamsuri Adam Surya Putra Adam Surya Putra Afifah Dwi Ramadhani agostinho marques ximenes Ahmad Zainudin Ali Ridho Barakbah Anang Budikarso Anang Budikarso, Anang Anang Siswanto Anang Siswanto Anang Siswanto, Anang Anindya Dwi Putri Islamidina Ari Wijayanti Ari Wijayanti Aries Pratiarso Aries Pratiarso Aries Pratiarso, Aries Astin, Novita Bambang Sumantri Bayu Dwiyan Satria Bih Hwang Lee Bima Sena Bayu Dewantara Dadet Pramadihanto Darmawan, Zakha Maisat Eka Dewi, Florista Dewi, Ni Made Lintang Asvini Dian Neipa Purnamasari Donny Farhan Eko Prayitno Farel Juliansyah Farhan, Donny Febby Ronaldo Fitri, Novi Aryani Florista Dewi Gulo, Melki Mario Gunawan, M. Wisnu Hadi, Mochammad Zen Samsono Haniah Mahmudah Hari Wahyuningrat S. Hary Oktavianto Haryadi Amran Hasan Basri Hasan Basri Hendy Briantoro Heru Iswanto Heru Iswanto, Heru Hidayah, Nuril Hudhajanto, Rizky Pratama I Gede Puja Astawa I Gede Puja Astawa I Gede Puja Astawa I Gede Puja Astawa I Gede Puja Astawa I Gede Puja Aswara Ida Anisah Idris Winarno Indah Yulia Prafitaning Tiyas Indah Yulia Prafitaning Tiyas, Indah Yulia Prafitaning Inka Trisna Dewi Ismed Jauhar Ismed Jauhar, Ismed Juliansyah, Farel Kevin Prima Pambudi Kevin Prima Pambudi, Kevin Prima Lordan Kimbal, Heaven Louis Nashih Uluwan Arif M Udin Harun Al Rasyid, M Udin Harun M. Cahyo Kriswantoro Mahardhika, Yesta Medya Mahmudah, Haniah Mala Nurilmala Mike Yuliana Mochammad Zen Samsono Hadi Mohamad Ridwan Muh. Alfan Taufiqurrahman Muhammad Taufiq Sumadi Nanang Syahroni Ni Made Lintang Asvini Dewi Nihayatus Sa'adah Nihayatus Sa'adah Ningsih, Norma Nisa, Choirun Choirun Nisa Novita Astin Nur Nur Adi Siswandari Nurul Fahmi Nurul Fahmi Nurul Fahmi Priambodo, Naufal Ammar Prima Kristalina Putra, Adam Surya Qoirul Setiawan Qoirul Setiawan, Qoirul R Rizki Rachmadi R. Gaguk Pratama Yudha Rafina Destiarti Ainul Rahardita Widyatra Ramadhani, Afifah Dwi Reni Soelistijorini Renovita Edelani Rini Satiti Rizky Pratama Hudhajanto Rokhmat Albasyih Samsul Huda Samsul Huda Santoso, Tribudi Saputro, Anton Cahyo Satiti, Rini Sa’adah, Nihayatus Soelistijorini, Reni Sritrusta Sukaridhoto Subhan, Muh Syahroni, Nanang Taufiqurrahman, Muh. Alfan Titon Dutono Tri Budi Santoso Tri Budi Santoso Tri Harsono TRI SUSANTI Tri Susanti Tribudi Santoso Vivien Arief Wardhany Wahjoe Tjatur Sesulihatien Wahyuningrat S., Hari Winarmo, Idris Ximenes, Agostinho Marques Yoedy Moegiharto, Yoedy Yoga Yuniadi Yudha, R. Gaguk Pratama Yuliana, Mike