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Journal : Jurnal Jaringan Telekomunikasi

RFID as Automatic Billing System on Smart Cart Based on Wireless Sensor Network at Clothing Store Aulia, Hillyatul; kusumawardani, Mila; Rakhmania, Amalia Eka
Jurnal Jaringan Telekomunikasi Vol 13 No 3 (2023): Vol. 13 No. 03 (2023) : September 2023
Publisher : Politeknik Negeri Malang

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

Abstract

The current billing system can only be done at the cashier by relying on human resources. So that it can increase the number of queues when consumers increase and purchase more than one product. Longer queues can waste time and energy so that it can reduce customer satisfaction. The billing process that can only be done at the cashier can also be an obstacle for customers in knowing the total bill when shopping. This can trigger an over budget so that customers have to increase their expenses. This research proposes an automatic billing system on a smart cart that can support the billing process, especially reading the total bill in real time. This system uses a Radio Frequency Identification (RFID) passive label attached to each product as a unique identification code. In the shopping cart there is an RFID reader that functions to read the label. The products that have been added to the cart will be displayed on the application intended for customers and the web server for the cashier. Information on the website includes product name, price per product unit, product quantity, and total bill.
Design and Development of Assistive Canes for the Blind Based on IoT-Integrated Fuzzy Logic Using LiDAR Sensor Time of Flight VL53L1X Solikh, Sairi; Imammudin , Azam Muzakhim; Rakhmania, Amalia Eka
Jurnal Jaringan Telekomunikasi Vol 14 No 1 (2024): Vol. 14 No. 01 (2024) : Maret 2024
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v14i1.769

Abstract

Visually impaired individuals often face difficulties in performing daily activities due to their limited visual senses. In order for the visually impaired to navigate without collision, a device with a system to detect obstacles in its surroundings is needed. In this study, a assistive cane has been designed that utilizes a fuzzy system based on the Mamdani model to detect obstacles. The main controller is an ESP32, equipped with two LiDAR VL53L1X sensors as inputs, capable of detecting obstacles up to 4 meters away. Family members can monitor the position of the visually impaired cane integrated with GPS through an Android application. The results of this study obtained an average error rate on the reading of two LiDAR Time of Flight Sensor devices with the VL53L1X type against obstacles in front of the stick of 0.00136% and sensor one has an accuracy of 99.85925% and sensor two has an accuracy of 99.862175% against the distance of obstacles in front of the stick. The blind cane made has an average battery life of 1 hour 35 minutes 83 seconds for random navigation, namely there are obstacles and no obstacles in front of the stick. Overall, the system can run well. The blind cane can classify the level of obstacles in front with the category of close at a distance of 0 - 100 cm, medium 101 - 150 cm, and far 150 - 400 cm
Smart Security System for Housing Using Website-Based MQTT Tobing, Nindi Karynnina Luban; Rakhmania, Amalia Eka; Rasyid, Abdul
Jurnal Jaringan Telekomunikasi Vol 14 No 1 (2024): Vol. 14 No. 01 (2024) : Maret 2024
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v14i1.782

Abstract

The housing security system is one of the aspects of implementing a security system in several house buildings which have several functions that work to secure assets in the building. Then in residential areas it is difficult to carry out intense security. This study designed a "Smart Security System in Housing Using Website-Based MQTT". This system is equipped with PIR sensors, LDR, ACS 712, and limit switches that are placed in each house. PIR sensors are used to detect human movement, limit switches are used to detect open doors, and LDR sensors are used to automate outside lights when homeowners activate outdoor mode. The ACS 712 sensor functions to give a warning of an anomaly in current usage. Using ESP8266 as a controller that sends data to the online MQTT broker "broker.mqtt-dashboard.com" which is equipped with the cloud. Home owners website programming using Node-RED installed on Raspi. Likewise with the security guard website using Node-RED as a website design. In monitoring at the security guard, you can monitor the security of the doors in each house. The results of the accuracy of the PIR sensor are only able to detect movement at a distance of less than 400 cm. The LDR sensor used in outdoor lighting automation with a voltage limit value above 2.56 V detects no light intensity. The accuracy of the ACS 712 current sensor in house 1 is 95% and house 2 is 94%.
Implementation of Wireless Sensor Network on Smart Trash Bins Using LoRa With AES128 Algorithm (Case Study: Mentari Waste Bank Panceng Gresik) Hanafi, Nur; Yulianto , Ahmad Wilda; Rakhmania, Amalia Eka
Jurnal Jaringan Telekomunikasi Vol 14 No 1 (2024): Vol. 14 No. 01 (2024) : Maret 2024
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v14i1.788

Abstract

Waste bank systems such as Bank Sampah Mentari (BSM), located in Prupuh, Panceng, Gresik Regency, were created as a method of reducing waste. In its operation, the BSM management still has several difficulties such as the need to check the resident’s shelters, to administrative problems that are still done manually. Based on these problems, the implementation of a wireless sensor network on a smart trash bin using LoRa with the AES128 algorithm was made. The way it works is that the node device sends sensor reading data to the gateway every hour. The gateway will describe the incoming data, then upload it to MySQL and firebase before being accessed in the application. The test shows that the system can run well according to the plan where the farthest distance of LoRa is 300 meters. The average RSSI generated by node 1 is -95.78 dBm, node 2 is -112.57 dBm, and node 3 is -117 dBm. HC-SR04 ultrasonic sensor testing has an error of 0.795% (accuracy of 99.205%), while the MAX17048 sensor has an error of 0.3% with accuracy of 99.7%.