Article Per Year (5 Year)
p-Index From 2021 - 2026
1.116
P-Index
This Author published in this journals
All Journal Riau Journal of Empowerment Media Ilmiah Teknik Lingkungan Minda Baharu SIGMA TEKNIKA
Harry Kurniawan
Program Studi Teknik Sipil, Universitas Riau Kepulauan Batam,
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Pembuatan alat pendeteksi dan pengusir monyet secara otomatis di areal pertanian Desa Sugie Kabupaten Karimun Wahyu Fernando; Fardin Hasibuan; Muhammad Irsyam; Harry Kurniawan; Muhammad Lyan Syaputra; M Arif Delpero; Supriyadi Supriyadi
Riau Journal of Empowerment Vol 8 No 1 (2026)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/raje.8.1.25-34

Abstract

An automatic monkey detection and repellent system based on a Convolutional Neural Network (CNN) and a Raspberry Pi was developed to address crop damage caused by monkeys in Sugie Village, Karimun district. The system uses a webcam to detect monkeys within a radius of up to 50 meters and emits gunshot sounds audible up to 200 meters to automatically repel them. Solar panels power the system because the area has access to electricity only at night. The implementation of this device yielded significant results, reducing crop damage from an average of 9 damaged plants per visit to only 3, equivalent to a 66.7% decrease. Additionally, the solar panels provided lighting for the agricultural area, improving security and accessibility at night by 100%. This technology offers an effective and efficient solution compared to manual methods, which require constant monitoring. The project leverages modern innovation relevant to local needs by integrating renewable energy with image-based detection technology. This project has the potential to be replicated in other regions facing similar issues, supporting food security and improving rural communities.
Co-Authors Chairil Anwar Fardin Hasibuan Ifdianti Resti Safitri Imam Setiyohadi Imam Setyohadi Kuswanto Kuswanto M Arif Delpero Mahardika Wiryawan muhammad irsyam Muhammad Lyan Syaputra Nadia Khaira Ardi Nadia Khaira Ardi Pirhot Pakpahan Radinal Ramnuari Rizman Hidayat Rynaldi Saputra Nababan Suhendika Suhendika Supriyadi Supriyadi Wahyu Fernando