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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) JTERA (Jurnal Teknologi Rekayasa) Industrial Research Workshop and National Seminar
Regina Nur Shabrina
Politeknik Negeri Bandung
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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E-Pindai: Pengolahan Citra Wajah Pendeteksi Penggunaan Masker dengan Metode Convolution Neural Network R. Wahyu Tri Hartono; Regina Nur Shabrina; Nadya Sarah; Muhammad Yusuf Fadhlan; Rida Hudaya; Supriyanto Supriyanto; Adyatma Adyatma
JTERA (Jurnal Teknologi Rekayasa) Vol 7, No 1: June 2022
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v7.i1.2022.17-24

Abstract

Virus yang menyebabkan Covid-19 disebut SARS-CoV-2 menyebar secara cepat bila ada kontak erat dalam jarak sekitar 2 meter. Penggunaan masker merupakan salah satu cara menghindari penularan penyakit ini. Dalam penelitian ini dikembangkan alat pendeteksi penggunaan masker yang selanjutnya disebut E-Pindai. E-Pindai merupakan inovasi berbasis teknologi pengolahan citra menggunakan metoda Convolution Neural Network (CNN) dan Internet of Things (IoT).  Sistem ini dipasang di gerbang masuk area publik dimana setiap pengunjung yang masuk wajahnya akan dipindai. Jika terdeteksi tidak menggunakan masker maka pintu tetap tertutup, buzzer berbunyi, dan foto wajah dikirim ke Satuan Tugas Covid-19 melalui aplikasi Telegram sebagai notifikasi. Jika semua pengunjung menggunakan masker, pintu akan terbuka secara otomatis. Pemrosesan data dilakukan menggunakan Raspberry Pi yang telah diisi program menggunakan bahasa pemrograman Python. Data yang diolah akan menghasilkan bilangan logika 1 atau 0 yang menjadi kode perintah menggerakan motor servo untuk membuka atau menutup gerbang, serta mengaktifkan atau mematikan buzzer. Hasil pengujian terhadap 17 jenis masker menggunakan metode confusion matrix dihasilkan persentase akurasi 94%, presisi 100%, sensitivitas 94,11%, spesifisitas 100%, dan error rate 5,56%. Analisis jarak penangkapan gambar dan respon waktu juga dilakukan untuk melihat respon dari perangkat yang dibuat.
e-Motion: Smart Remote Internet of Things Based Of Elderly Body Movements Regina Nur Shabrina; Willy Nur Widiana; Nadya Sarah; R. W. Tri Hartono
Prosiding Industrial Research Workshop and National Seminar Vol 12 (2021): Prosiding 12th Industrial Research Workshop and National Seminar (IRWNS)
Publisher : Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309 KB)

Abstract

e-Motion: Smart Remote Internet of Things Based Of Elderly Body Movements
E-CityFarm: sustainable small-scale food production integrated fish and crop cultivation R. Wahyu Tri Hartono; Sakinah Puspa Anggraeni; Fajri Habibie Suwanda; Eka Pratiwi; Regina Nur Shabrina; Vina Fitriana
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 20, No 5: October 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v20i5.24095

Abstract

E-CityFarm is an electronic system that can control the parameters needed to grow fish and plants integratedly. It can control temperature, water acidity, and utilizing the neural network method able to count the number and length of fishes also their weight. The weight will be directly proportional to the need for feed. In E-CityFarm, various variables are processed by multitasking, therefore real time operating system (RTOS) is used. RTOS has several advantages in terms of: concurrency, pre-emption, capacity, flash size, synchronization tools, third party software, and convenience. RTOS is real time where in the execution process it will work in parallel for all existing processes according to the time specified. E-CityFarm implements RTOS to improve and maintain the quality of system measurement accuracy, which is expected to help users maintain product quality. In several experiments, the measurement results still have deviations compared to conventional measurements, deviations in measurements for: temperature 0.46%, light intensity 1.935%, 4.93% (3 levels) and weight control 1.995% (98.005% accuracy). Within 14 months the growth of fish and plants seemed to be very controlled, fish and plants grew well, thus E-CityFarm is a feasible system to be developed in areas that have limited land and water.
Co-Authors Adyatma Adyatma Eka Pratiwi Fajri Habibie Suwanda Hudaya, Rida Muhammad Yusuf Fadhlan Nadya Sarah Sakinah Puspa Anggraeni Supriyanto Suhono Vina Fitriana W. Tri Hartono Willy Nur Widiana