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All Journal Conference SENATIK STT Adisutjipto Yogyakarta Blend Sains Jurnal Teknik
Rabi, Abd.
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Aerospace Engineering Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Integration of Smart Class Control System Using Amazon Echo Dot with Artificial Neural Networks Januar, Teddy; Rabi, Abd.; Prasetya, Dwi Arman
SENATIK STT Adisutjipto Vol 5 (2019): Peran Teknologi untuk Revitalisasi Bandara dan Transportasi Udara [ISBN XXX-XXX-XXXXX-
Publisher : Sekolah Tinggi Teknologi Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v5i0.347

Abstract

Development of a class resource system that is integrated with the system that is the application-based system. One system that can be used is the Smart Class. Smart Class is a system that offers control of electronic equipment in the classroom using voice command control with a device that is Smart Speaker called Amazon echo dot which is used to facilitate the use of electronic devices in classrooms using Raspberry Pi Microcontroller technology by embedding smart class artificial neural network technology. With maximum performance at 1500ms to 2000ms on all conditions both sensors and actuators by iterating simultaneously 500 times with two hidden layers and the number of cells of each hidden layer is 9 and 5.
Integration of Smart Class Control System Using Amazon Echo Dot with Artificial Neural Networks Januar, Teddy; Rabi, Abd.; Prasetya, Dwi Arman
SENATIK STT Adisutjipto Vol 5 (2019): Peran Teknologi untuk Revitalisasi Bandara dan Transportasi Udara [ISBN 978-602-52742-
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v5i0.347

Abstract

Development of a class resource system that is integrated with the system that is the application-based system. One system that can be used is the Smart Class. Smart Class is a system that offers control of electronic equipment in the classroom using voice command control with a device that is Smart Speaker called Amazon echo dot which is used to facilitate the use of electronic devices in classrooms using Raspberry Pi Microcontroller technology by embedding smart class artificial neural network technology. With maximum performance at 1500ms to 2000ms on all conditions both sensors and actuators by iterating simultaneously 500 times with two hidden layers and the number of cells of each hidden layer is 9 and 5.
Pengolahan Citra untuk Sortir Buah Stroberi Berdasarkan Kematangan Menggunakan Algoritma K-Nearst Neighbors (KNN) Setiawan, Aji; Rabi, Abd.; Gumilang, Yandhika Surya Akbar
Blend Sains Jurnal Teknik Vol. 2 No. 4 (2024): Edisi April
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v2i4.551

Abstract

Dalam industri pertanian, sortir buah stroberi berdasarkan kematangan merupakan proses krisis untuk memastikan kualitas dan nilai jual produk. Sortir buah stroberi secara manual dapat menjadi pekerjaan yang memakan waktu. Dalam konteks sortir buah stroberi, pengolahan citra dapat di gunakan untuk mengenali dan membedakan buah yang mentah, setengah matang dan matang. Salah satu metode yang dapat di gunakan adalah model K-Nearst Neighbors (KNN) algoritma k-nn bekerja mencari K data terdekat dalam ruang fitur berdasarkan jarak matrik lainya.proses pada sistem deteksi warna menggunakan HSV (Hue,Saturation,Value) adalah mengumpulkan data pelatihan yang terdiri dari sampel warna dengan label kelas yang sesuai setelah mengumpulkan data latih selesai maka akan di tentukan nilai klasifikasi.dari percobaan di hiyung dengan nilai akurasi rata rata mentah 80%,setengah matang 80% dan matang 90%.
Co-Authors Aji Setiawan Dwi Arman Prasetya Januar, Teddy Yandhika Surya Akbar Gumilang