Article Per Year (5 Year)
p-Index From 2020 - 2025
4.566
P-Index
This Author published in this journals
All Journal JIPMat (Jurnal Ilmiah Pendidikan Matematika) Humanis : Jurnal Ilmu-Ilmu Sosial dan Humaniora Jurnal Edukasi: Kajian Ilmu Pendidikan INSPIRAMATIKA MAJAMATH: Jurnal Matematika dan Pendidikan Matematika JPM (Jurnal Pendidikan Modern) Journal of Research in Mathematics Trends and Technology Jurnal Fibonaci: Jurnal Pendidikan Matematika Jurnal Pengabdian Kepada Masyarakat Justness : Jurnal Hukum Politik dan Agama Jurnal Pengabdian Masyarakat: BAKTI KITA JEDMA Jurnal Edukasi Matematika ENGAGEMENT: Jurnal Pengabdian Masyarakat Prosiding Seminar Nasional Inovasi Teknologi Terapan Jurnal Media Akademik (JMA) Hikamatzu Journal of Multidisciplinary Research
Abdur Rohim
Universitas Islam Darul 'Ulum Lamongan
Religion Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Veterinary Other

Published : 28 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Prosiding Seminar Nasional Inovasi Teknologi Terapan

 1 
SISTEM PENDETEKSI BUAH LADA BERBASIS CONVOLUTIONAL NEURAL NETWORK (CNN) Reiva Marizka Harmie; Abdur Rohim; Muhammad Iqbal Nugraha; Indra Dwisaputra
Prosiding Seminar Nasional Inovasi Teknologi Terapan Vol. 1 (2021): Prosiding Seminar Nasional Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pepper trees grow vines up to a height of 4 meters supported by other trees or using a pole called an arbor. The current problem is that during the pepper harvesting process, farmers generally pick by hand. In 2020, D3 students made a pepper picker design tool using a remote to control its movement, this tool cannot move automatically, from this problem a convolutional neural network (CNN) based pepper fruit detection system was created. This system uses the Convolutional Neural Network (CNN) method. CNN implementation uses Tensorflow tools with Python programming language. The number of datasets is 100 images of pepper and 100 images of non pepper. Based on the test results, the prediction precision level is 95%, accuracy is 89%, and recall is 90%, so it can be concluded that the detection system using a webcam can predict pepper fruit well.
Co-Authors admin admin, admin Ali Shodikin Anna Auliatur Rohmah Aqidatun Nisa’il Afrilia Aresqi Tunggal Asmana Asmana, Arezqi Tunggal As’ad Romadhoni Bristy Khatun Dhiah Agustina Qahar Dwi Aldi Hidayatulloh ellennitaa Genduk Rohmawati Hanief Maulana Heny Ekawati Haryono Indra Dwisaputra Isma Hadiyatul Wayiya Istnaini, Mia Ayu Lailiyah Jakirul Islam Khafidhoh Nurul Aini Khafidhoh Nurul Aini, Khafidhoh Nurul Khofifah Indar Parawansyah Khusnul Hitaminah Md Amirul Islam Moh. Babur Rizki Mst. Asiya Khatun Muhamad Alim Cahyono Muhamad Syaifudin Muhammad Iqbal Nugraha Murshida Khatun Mustofah Mustofah Nur Hidayati Laili Reiva Marizka Harmie Rudi Cahyono Sandha Soemantri Taufiqur Rahman Vera Wati Walida, Sikky El