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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of ICT Research and Applications Seminar Nasional Informatika (SEMNASIF) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JETT (Jurnal Elektro dan Telekomunikasi Terapan) JOIV : International Journal on Informatics Visualization JURNAL TIARSIE TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika JMECS (Journal of Measurements, Electronics, Communications, and Systems) Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Madani : Indonesian Journal of Civil Society Jurnal Nasional Teknik Elektro dan Teknologi Informasi Industrial Research Workshop and National Seminar eProceedings of Engineering Jurnal INFOTEL
Arfianto Fahmi
Universitas Telkom
Aerospace Engineering Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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Journal : Jurnal INFOTEL

 1 
Vegetation classification algorithm using convolutional neural network ResNet50 for vegetation mapping in Bandung district area Rina Pudji Astuti; Ema Rachmawati; Edwar Edwar; Simon Siregar; Indra Lukmana Sardi; Arfianto Fahmi; Yayan Agustian; Agus Cahya Ananda Yoga Putra; Faishal Daffa
JURNAL INFOTEL Vol 14 No 2 (2022): May 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i2.756

Abstract

Bandung District is one of crop provider for West Java Province. About 31.158,22 ha is used for crop. However, some of them are not maintained well due to lack of vegetation map information. Local authority has tried to map the vegetation in their area by using free license satellite images, and aerial images from Unmanned Aerial Vehicle (UAV). Despite both images being able to provide large plantation area images, both are unable to classify the vegetation type in those images. Telkom University with Bandung Agriculture Regional Office (Dinas Pertanian Kabupaten Bandung) has conducted joint research to develop algorithm based on 50-layer residual neural network (ResNet50) to classify the vegetation type. The input is of this algorithm is primarily aerial images are captured from different type, height, and position of crops. Seven different ResNet50 configurations have been set and simulated to classify the crop images. The result is the configuration with resized images, employing triangular policy of cyclic learning rate with rate 1.10−7 – 1.10−4 comes out as the best setup with more than 95% accuracy and relatively low loss.
Co-Authors A.A. Ketut Agung Cahyawan W A.B. Muhammad Abi Hakim Amanullah Achmad Ali Muayyadi Afandi, Mas Aly Afief Dias Pambudi Agus Cahya Ananda Yoga Putra Ahmad Sulaeman Ahmad Tri Hanuranto Aji Maulana Akhmad Hambali Ali Muayadi Ali Muayadi Ali Muayyadi Ali, Erfansyah Alit Dian Saepudin anah Putri Andre Yohanes Antoni Andreana Yunio Prasetya Andri Juli Setiawan Anggun Fitrian Isnawati Anhar Muthaqien Aprian Firlanda Imani Aries Priyadi Ramadhan Bhaskara Narottama Bhaskara Narottama Bobby Juan Pradana Boy Fernando Brian Pamukti Budi Syihabuddin Claudia Sofiana Tamba Dadan Nur Ramadan Dadang Gunawan Denny Darlis Desti Madya Saputri Devin Benz Rizki Dharu Arseno Diah Ayu Lestari, Diah Ayu Doan Perdana Dody Herdianto Rachmat Edwar Elmira Puspa Sari Ema Rachmawati Erwin Priyantono Ezi Rohmat Fairuz Azmi Faishal Daffa Fajar Adityawarman Fajar Adityawarman Ferdi Setyo Ariawan Firli Fauzia Karima Firmansyah Firmansyah Furry Rachmawati Gasi Dhias Gina Ilma Amalia Gina Ramadhanti Ginting, Ishak Hafidh Finandriyanto Hamka Ikhlasul Amal NZ Heroe Wijanto Hurianti Vidyaningtyas I Gede Aditya Pratama I Putu.D Irawan Ilham putra pratama Indra Lukmana Sardi Indrarini Dyah Irawati Jefry Armando Yunas Josia Ezra Kris Sujatmoko Krisna Rangga Pradhana Kurnia Cahya Ade Putra Linda Meylani Luh Putu Ayu Sri Aryaningrum Luthfi Aditama Mega Nugraha Meutia Qoonita Noviyani Mochammad Arfin Mohamad Yasin Ramadhan Muhamad Asvial Muhamad Fithryan Muhammad Irfan Maulana Muhammad Raudhi Azmi Muhammad Salman Al Faris Muhammad Yaser Nachwan Mufti Adriansyah Nur Andini Nur Fathimah Nur Indah Nur'Adli, Luthfi Nuriadnyana, Rana Nyoman Bogi Aditya Karna Obed Rhesa Ludwiniananda Obed Rhesa Ludwiniananda Patricius Evander Christy Patricius Evander Christy Pradika Erta Ardanta Priatama Yadita Purusadi Hastruman Raden Arjani Rosalina Rana Nuriadnyana Rana Nuriadnyana Ray Putra Tarigan Raynanda Chandra Wibisono Rendy Munadi Reni Dyah Wahyuningrum Revi Dianawati Reyza Pratama Rifki Fauzi Nurzaman Rina Pudji Astuti Rizal Haerul Akbar Rizky Wahyudi Robie Zulfalaily AK Rudi Sianipar Saleh Dwi Mardiyanto Salma Pratiwi Simon Siregar Sitha Vrindhavani Devi Putri Suci Monica Sari Sugondo Hadiyoso Suryananda Padmadinata Syaiful Rahmat Tjahjo Adiprabowo R Uke Kurniawan Usman Vinsensius Sigit Vinsensius Sigit Vinsensius Sigit Widhi Prabowo Wildan Maulani Wulan Dwi Anggraini Yayan Agustian Yoga Prahara Novandanu Yosia Raya Peranginangin Yudha Purwanto Yudhi Suryanto Yuyu Wahyu