Riau Province is the province with the largest oil palm plantation area in Indonesia. In Indonesia, especially in the province of Riau, the majority of landowners for oil palm plantations do not directly work on their own oil palm plantations, but instead the landowners trust other people to work on their plantations, so that landowners cannot directly know or monitor the mass data of their palm fruit weighing. . So this research designed an Internet of Things (IoT)-based digital palm fruit weighing device to make it easier for landowners to know or remotely monitor the mass data of their palm fruit weighing. This system is designed using TTGO T.Call ESP32 as system control and load cell sensor as a detector of oil palm fruit mass. The average percentage accuracy value of the tool reads the mass data of weighing palm fruit using the same load, which is 98.03% of 10 tests. Meanwhile, when using varying loads, the average accuracy percentage value is 99.28% from 18 tests. With this tool, the mass data of oil palm fruit weighing can be monitored remotely and in real time by plantation land owners.
Meningkatnya kebutuhan akan informasi, pemantauan, dan pengendalian sistem monitoring terhadap peralatan, industri, otomotif, dan bahkan farmasi membuat teknologi monitoring secara real time dibutuhkan. Sistem Monitoring dirancang agar mesin produksi dapat dimonitor secara realtime, sehingga pengawasan suatu proses produksi menjadi effisien. Sistem ini memanfaatkan controller PLC (Programmable logic controller) sebagai pengatur dari sistem monitoring yang dikomunikasikan dengan Scada sebagai software untuk memproses data yang dihasilkan dapat ditampilkan melalui PC secara realtime. Implementasi dari Rancang Bangun Sistem Monitoring Prototype Mesin Packaging Berbasis PLC dapat menampilkan data dari waktu permesinan, dari Running time, Minor Stop Time dan Breakdown Time. Dimana klasifikasi waktu tersebut di buat secara otomatis sehingga dapat memudahkan para operator dalam mendata waktu permesinan dan memonitor kegiatan produksi me njadi lebih mudah dan terstruktur. Data dari PLC yang didapatkan akan ditransmisikan kepada Sercer OPC yang terhubung dengan SCADA Intouch Wonderware sebagai display untuk proyek akhir ini. Dari sepuluh kali pengambilan data, waktu running yang diterima dari PLC ke PC (Wonderware) dan sebaliknya dari PC (Wonderware) ke PLC sistem ini merespon dengan baik ketika fungsi dijalankan. Dimana terdapat perbedaan waktu atau delay sebesar 0,27s pada tombol ON dan 0,33s pada tombol OFF dengan penekanan dengan Software dan Hardware. Penekanan dengan software mendapatkan waktu tunda yang lebih besar dikarenakan melewati server dahulu untuk menghubungkan PLC ke PC (Wonderware). Kata kunci: PLC, Scada, Monitoring, Sistem, human error.
The Covid-19 pandemic is a factor in accelerating digital transformation in all aspects of community needs, especially in the parking area. Unmonitored and non-digitalized parking lots can cause delays that increase the transmission of Covid-19. In this study, a parking digitization system is created to make it easier for the public to know how dense is the area of ??the location to be visited, as well as a vacant area that can be occupied to park vehicles by users of the parking lot through a smartphone application. This study uses the Canny algorithm through an optical flow process captured by the IP Camera, next the data is processed and presented in the Android application. From the system that has been made, the system detects the presence of vehicles with an accuracy of above 95%.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.