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All Journal Jurnal Elektronika dan Telekomunikasi Jambura Journal of Electrical and Electronics Engineering Journal of Electrical Power Control and Automation (JEPCA) Jurnal Engineering
Samratul Fuady
Department Of Electrical Engineering, Jambi University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Journal : Journal of Electrical Power Control and Automation (JEPCA)

 1 
Penerapan Model Terdistribusi untuk Sistem Smarthome Menggunakan Multi-Sensor Berbasis Internet of Things (IoT) Samratul Fuady; Ulfa Khaira; Yosi Riduas Hais; Robertus Herodian Sitanggang
Journal of Electrical Power Control and Automation (JEPCA) Vol 4, No 2 (2021): Desember
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jepca.v4i2.57

Abstract

The use of smarthome technology to monitor and control homes is growing recently. The smarthome system requires the integration of several sensors to determine the conditions in the house. In a centralized smarthome system, all sensors are connected to a single node to perform data processing and communication which can result in system failure if this node is broken. In this study, we use a distributed model for the smarthome system. The designed system consists of three nodes, which are kitchen instrument, room instrument, and door instrument. These three instruments are equipped with RFID sensors, temperature sensors, gas sensors, and reed switch sensors to perform security features of the smarthome that can be accessed remotely via smartphones or computers. The results show that the system has been able to work well and can overcome the problem of failure on some instruments without causing the whole system to collapse. This smarthome system has an average delay of 2.21 seconds.
Deteksi Objek Menggunakan Metode Single Shot Multibox Detector Pada Alat Bantu Tongkat Tunanetra Berbasis Kamera Samratul Fuady; Nehru Nehru; Gina Anggraeni
Journal of Electrical Power Control and Automation (JEPCA) Vol 3, No 2 (2020): Desember
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jepca.v3i2.38

Abstract

Blind people have difficulty in navigating due to the limited sensing they are capable of. In this research, we design a stick tool that can distinguish objects in the form of humans, animals and inanimate object based on camera. Processing is carried out with the Raspberry Pi with a webcam camera as input and indicators in the form of a buzzer and vibrator. The feature extraction process is carried out by deep learning using the tensorflow library and image processing using the Single Shot MultiBox Detector (SSD) method. Tests were carried out on human objects, animals (cats), and inanimate objects (chairs and tables) for indoor and outdoor conditions and obtained an accuracy of 92%, a sensitivity of 83%, and a specificity of 100%.
Co-Authors -, Maison Alexander Christanto Budiman Andi Suryadi Andre Rabiula Aprilia Sulista Arief Suryadi Satyawan Arif Rahman Hakim Ario Birmiawan Widyoutomo Arumjeni Mitayani Atyka Setiyani Dasrinal Tessal Edi Saputra Gina Anggraeni Haerul Pathoni Haerul Pathoni Khaira, Ulfa Mochamad Mardi Marta Dinata Muhammad Said Nehru Nehru Oki Saputra Robertus Herodian Sitanggang Sri Rahayu Sunan Sarif Hidayatullah Suyoto Suyoto Ursi Aulia Wahyu Suganda Yosi Riduas Hais