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Journal : Journal of Applied Electrical Engineering

Alat Pemantau dan Penghitung Jumlah Pengunjung Berbasis Aplikasi Telegram Rindang Alamsyah; Ika Karlina Laila Nur Suciningtyas; Nanta Fakih Prebianto; Iman Fahruzi; Imam Sholihuddin; Abdurahman Dwijotomo; Lalu Kaisar Wisnu Kita; Indra Daulay
Journal of Applied Electrical Engineering Vol. 7 No. 1 (2023): JAEE, June 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v7i1.5459

Abstract

A visitor monitoring and counting device is a tool designed to send information in the form of images and the number of visitors detected through a camera and sensors installed on the device. This device is based on the Telegram application using the ESP32-CAM module as the camera to capture images of each incoming visitor. The device is equipped with an infrared sensor used to detect incoming visitors. The device works by counting the number of visitors when they enter, and then sending a signal to the ESP32-CAM to capture a physical image as evidence. The data from the device's operation is sent through the Telegram application. The research results show that the device functions well at a distance of 60 cm, but it does not function properly at a distance of 90 cm. The average time required for the device to send an image to the application is 2.5 seconds. The fastest time required by the system to read data between one visitor and the next is 15,4 seconds.
Smart Rack Inventory Berbasis RFID Untuk Manajerial Gudang Muharramsyah, Iqbal Fadjar; Mu'Arif, Samsul; Dwijotomo, Abdurahman; Kamarudin, Kamarudin; Ridwan, Ridwan
Journal of Applied Electrical Engineering Vol. 8 No. 2 (2024): JAEE, December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v8i2.8562

Abstract

In warehouse management within the industry, there are often condition named stock-opname where physical stock and recorded stock do not match. This discrepancy can be caused by human error, as most of the input process work is still performed manually. To address this issue, this research developed Smart Rack Inventory capable of detecting items stored on the rack based on the RFID codes attached to the stored items. Additionally, an interactive web interface is utilized for managing storage and retrieving information about stored items. From the test results, the tool can easily record and display stored items with RFID tags when the orientation of the RFID sticker on the items aligns with the RFID sensor in the designed rack system. The success rate reached 100% at a distance of 60 cm. However, when the sticker's position is not aligned with the RFID sensor, where the RFID tag faces a direction opposite to the sensor, the smart rack system encounters difficulties in detecting and recording the item.