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Journal : Action Research Literate (ARL)

Implementasi Potential Field pada Robot Omnidirectional Berbasis LiDAR Menggunakan ROS Prayudi, Ari; Marindani, Elang Derdian; W, F. Trias Pontia
Action Research Literate Vol. 9 No. 7 (2025): Action Research Literate
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/arl.v9i7.2996

Abstract

Sistem navigasi otonom dikembangkan untuk robot mobile omnidirectional dengan memanfaatkan algoritma Potential Field yang terintegrasi dengan data sensor LiDAR. Robot mampu bergerak menuju titik tujuan dari berbagai arah sambil menghindari rintangan secara real-time. Implementasi menggunakan Robot Operating System (ROS) memungkinkan koordinasi modular antara algoritma kendali, masukan sensor, dan aktuator. Hasil pengujian menunjukkan bahwa robot dapat mencapai titik tujuan baik dalam kondisi tanpa halangan maupun dengan halangan, dengan rata-rata galat posisi akhir di bawah 40 mm dan waktu tempuh rata-rata sekitar 12 detik. Sensor LiDAR menunjukkan akurasi tinggi, dengan galat pengukuran jarak pendek sebesar 2,23% dan jarak jauh sebesar 5,38%. Delay pada topik ROS untuk data LiDAR dan odometri masing-masing rata-rata sebesar 0,50 detik dan 0,08 detik, yang cukup untuk mendukung kendali waktu nyata. Hasil tersebut menunjukkan bahwa kombinasi algoritma Potential Field, sensor LiDAR, dan sistem ROS mampu menghasilkan gerakan robot yang akurat, responsif, dan adaptif terhadap lingkungan.
Sistem Monitoring Hidroponik Pada Tanaman Pakcoy Dengan Metode Nutrient Film Technique (Nft) Berbasis Internet Of Things Huda, Zikril; Marindani, Elang Derdian; Wibowo Sanjaya , Bomo
Action Research Literate Vol. 9 No. 10 (2025): Action Research Literate
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/arl.v9i10.3035

Abstract

This research develops and implements an Internet of Things (IoT)-based hydroponic system designed to automatically monitor and control nutrient quality to ensure optimal plant growth. The system is capable of monitoring crucial parameters such as pH, Total Dissolved Solids (TDS), water temperature, ambient temperature, and ambient humidity, and possesses the capability to control pH and TDS levels in the nutrient solution. The implementation was conducted on pakcoy cultivation using the Nutrient Film Technique (NFT) hydroponic method, chosen for its suitability with IoT integration. The platform utilized is a website connected to a Firebase Database, where sensor data is processed by a microcontroller and transmitted to the database for real-time display. Testing results indicate sensor error percentages of 1.53% for water temperature, 6.31% for pH, 9.17% for TDS, 2.17% for ambient temperature, and 1.25% for ambient humidity. Overall, the sensor readings used in this system demonstrate satisfactory performance in measuring water quality and environmental parameters, thereby effectively supporting plant quality maintenance.