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All Journal IAES International Journal of Robotics and Automation (IJRA) IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik Elektro Dimensi Teknik Elektro Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Handy Wicaksono
Program Studi Teknik Elektro Universitas Kristen Petra Surabaya
Automotive Engineering Computer Science & IT Electrical & Electronics Engineering Engineering

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Sistem IoT untuk Urban Farming dengan Protokol LoRa dan Platform Antares Candra, Ranggastika Prahlada; Wicaksono, Handy; Sugiarto, Indar
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7600

Abstract

Pada penelitian ini diusulkan sistem hidroponik menggunakan teknologi Internet of Things (IoT) dengan protokol LoRa dan platform Antares untuk pengawasan dan pengendalian sistem jarak jauh. Fitur lainnya ialah kendali aktuator secara otomatis dan manual melalui smartphone. Sistem ini telah dilengkapi dengan sensor BME280 (pengukuran suhu, kelembaban, tekanan udara) dan BH1750 (pengukuran cahaya, dan electrical conductivity - nutrisi). Sistem telah berfungsi dengan baik untuk pemantauan dan pengendalian jarak jauh. Jangkauan maksimal LoRa pada sistem yang dikembangkan ialah sebesar 310 meter, masih dibawah jarak standar. Sistem yang dibuat telah dijalankan selama 3 hari dan dapat melakukan pengiriman data dengan baik. Namun demikian, pengiriman data belum dapat dilakukan terus menerus karena kendala pada kontroler dan sensor yang digunakan.
A smart door prototype with a face recognition capability Hutomo, Ivan Surya; Wicaksono, Handy
IAES International Journal of Robotics and Automation (IJRA) Vol 11, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v11i1.pp1-9

Abstract

This research aimed to integrate a face recognition capability in a smart door prototype. By using a camera-based face recognition, the house owner does not need to make physical contact to open the door. Avoid physical contact is important due to the coronavirus disease 2019 (COVID19) pandemic. Raspberry Pi 3B was used as the main controller, while a servo motor was utilized as a locking door actuator. The program was developed using Node-RED, Blynk, and message queue telemetry transport (MQTT) platforms which are very powerful for developing internet of things (IoT) devices. All of the programs were coded using Python. Haar cascade and local binary pattern histogram methods were implemented on the face recognition stage. Google Assistant integration was done by using Dialogflow and Firebase as Google Cloud services. Integration of face recognition and the smart door was successful. The smart door was unlocked if faces were recognized (average threshold=60%). If a face was not recognized, an email notification containing a face image is sent to the house owner. The Google Assistant could handle user requests successfully with a success rate of 92.8% from 147 trials.
Co-Authors A.A. Ketut Agung Cahyawan W Achmad Jazidie Andrew Wijaya Antoni Susiono Candra, Ranggastika Prahlada Chandra Udayana Estevanus Kurniawan Pangkong Gondowardoyo, Sean Hafizah Kamarudin, Nazhatul Halim, Jason Hany Ferdinando Hutomo, Ivan Surya Indar Sugiarto Indra Adji Sulistijono Josaphat Pramudijanto Mitsuji Sampei Petrus Santoso Prihastono Prihastono Resmana Lim Rusdhianto Effendi Son Kuswadi William Sutanto Yefta Noventa Santoso