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Comparison of Response Time of Artificial Intelligence Mask Detection Program Implemented on Several Computer and Microcontroller Platforms Eril Mozef; Raihana Aqila
IJISTECH (International Journal of Information System and Technology) Vol 6, No 4 (2022): Decembar
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i4.264

Abstract

The use of masks during the Covid-19 pandemic is crucial to prevent transmission of the Covid-19 virus. Everyone is required to wear a mask in public places both indoors and outdoors. Therefore, a mask detection device is urgently needed to allow visitors to enter public facilities and reduce interaction between officers and visitors. Currently, many algorithms and programs for detecting masked faces based on artificial intelligence have been proposed using cameras and image processing. However, unfortunately, the implementation, realization, and application in public places are still ineffective. Beside the reability is still not high enough, another factor is the response time which needs to be considered when implemented on a computer or a microcontroller device. In this regard, this research focused on measuring the response time of an artificial intelligence-based mask detection program using a camera and image processing and its implementation on several computer and microcontroller platform. The response time of several computer and microcontroller devices is needed to provide an overview of the relationship between system execution speed and costs. When we use a high speed computer, the response time is fast, but the cost of the device is high. In contrast, by using a microcontroller-type device means the costs are low but the response time is slow, which will eventually cause problems in the visitor queuing system. In this research, the Balaji Srinivasan mask detection program was successfully implemented on several computer and microcontroller devices. The results are as follows: PC core i3-5005 2 GHz, 4 GB RAM: 0.456 seconds, PC core i5-3207 RAM 4 GB, 3.2 GHz SSD 128 GB: 0.382 seconds, PC core i5-8250 RAM 8 GB: 0.393 seconds, AMD Ryzen 5 3550H 2.1 GHz RAM 8 GB SSD 512GB: 0.303 seconds, Raspberry Pi 3 B+, 1.4 GHz RAM 1 GB: 12.03 seconds, Raspberry Pi 4 1.6 GHz RAM 4 GB: 0.89 seconds. So that the shortest average delay respon time for the PC type is AMD Ryzen 5 3550H 2.1 GHz RAM 8 GB SSD 512 GB of 0.303 seconds, and for the microcontroller type is Raspberry Pi 4 of 0.89 seconds.
Sistem pengisian tandon air otomatis dengan fitur monitoring kamera nirkabel menggunakan smartphone Mozef, Eril; Maharani, Syaira
JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Vol. 4 No. 2: Special Issue on 15th Industrial Research Workshop and National Seminar (IRWNS) 2024
Publisher : Jurusan Teknik Elektro, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/jitel.v4.i2.2024.155-166

Abstract

Sistem pengisian air otomatis rumah tangga biasanya menggunakan pelampung mekanik. Sistem ini memiliki kelemahan, seperti kesulitan menganalisis masalah dari bawah (luar) tandon dan penggantian pelampung yang rumit. Alternatif elektronik yang ada umumnya hanya mengotomasi pengisian air tanpa mengatasi kelemahan tersebut. Penelitian ini merancang sistem pengisian tandon air elektronik yang tidak hanya otomatis, tetapi juga memudahkan pengguna menganalisis masalah dari bawah tandon. Sistem ini dilengkapi fitur pemantauan kamera, pengontrolan nirkabel, pemantauan ketinggian air, statistik pemakaian, dan pengisian manual melalui smartphone, dan menggunakan internet. Komponen utama sistem ini adalah sensor ultrasonik dan mikrokontroler ESP32WROVERCAM dengan WiFi dan kamera mini terintegrasi. Sistem menggunakan protokol MQTT untuk komunikasi dua arah melalui internet. Pengujian berhasil dilakukan pada tandon 150 liter dengan batas ketinggian 40 cm dan 60 cm. Pengontrolan manual berhasil mengaktifkan pompa dan lampu LED dengan rata-rata penundaan 5,3 detik. Pemantauan ketinggian air, statistik penggunaan, dan streaming video berhasil dilakukan menggunakan QoS dengan kinerja jaringan yang baik yaitu, throughput 77 Kbps, packet loss 0%, dan delay 11,055 ms.
PENGEMBANGAN SARANA STUDIO SIAR SEBAGAI MEDIA EDUKASI KAMPUS Hartono, R.W. Tri; Fadhlan, Muhammad Yusuf; Andini, Dianthika Puteri; Hanifatunnisa, Rifa; Rahmawati, Dini; Martin; Mozef, Eril; Rahayu, Maya
Jurnal Difusi Vol. 6 No. 2 (2023): Jurnal Difusi
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M) Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/difusi.v6i2.4540

Abstract

Perguruan tinggi memiliki peran dan fungsi untuk mengedukasi masyarakat selain menyelenggarakan perkuliahan. Salah satu bentuk kegiatan dari peran tersebut adalah memberikan informasi kepada masyarakat dalam bentuk pemberian bimbingan, sharing pengetahuan atau pelatihan. Dengan kemajuan teknologi internet saat ini, hal ini dapat dilakukan melalui platform online. Namun, hal ini harus didukung dengan peralatan yang mumpuni agar mendapatkan hasil yang menarik dan dapat diterima oleh masyarakat maupun mahasiswa. Dalam layanan ini dibuat studio yang dapat digunakan untuk mendukung kegiatan mengajar dan konseling masyarakat bagi civitas akademika di Politeknik Negeri Bandung. Pembuatan studio siaran ini dibagi menjadi tiga tahap. Yang pertama adalah pembuatan model tiga dimensi ruangan menggunakan perangkat lunak pemodelan 3D. Tahap kedua adalah pekerjaan sipil untuk membangun studio siaran. Tahap terakhir adalah penyelesaian studio siaran dengan peralatan pendukung pembuatan konten video. Hasil yang didapat cukup memuaskan. Dari mayoritas jawaban yang diperoleh dari survei, mahasiswa merasa studio ini bermanfaat, cukup nyaman digunakan dan layak untuk membuat konten video. Untuk bagian audio, koresponden percaya bahwa aspek ini masih perlu ditingkatkan, sementara tata letak ruangan dan peralatan visual dianggap baik dan menarik.
Phase-Sensitive Radar Using ADALM-Pluto SDR and Cantenna for Sub-Millimeter Displacement Measurement Mozef, Eril; Rasyid, Ridho Shofwan; Sulaeman, Enceng; Mulyana, Tiyo Rizky; Al Farik, Fahrizal; Junjunan, Thaskia Qolbi
Jurnal Elektronika dan Telekomunikasi Vol 25, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.757

Abstract

The capability of phase-sensitive radar to detect sub-millimeter displacement has been widely demonstrated, enabling a range of applications such as structural vibration monitoring, human vital-sign detection, gesture sensing, and precision motion tracking. In these domains, particularly in non-contact human respiratory monitoring, conventional phase-sensitive radar systems offer key advantages, including high phase stability, robust performance under non-ideal lighting or environmental conditions, and the ability to operate without physical contact. These strengths make them effective for capturing small periodic chest movements required for accurate respiratory assessment. However, conventional hardware implementations often suffer from limited flexibility, higher development cost, and increased design complexity. These constraints motivate the shift toward software-defined radio (SDR) solutions, which provide reconfigurability, simplified prototyping, and significantly lower cost while retaining the essential phase-sensitive capabilities. This motivation forms the basis of the present research. This study realizes a phase-sensitive radar using an ADALM-Pluto SDR operating at 2.45 GHz with a cantenna antenna configuration. Compared with previous SDR-based works that focus primarily on Doppler vital-sign extraction or require more elaborate RF front-ends, the proposed system emphasizes displacement-resolution enhancement through careful phase processing while maintaining minimal hardware complexity. The combination of a compact SDR platform, simple antenna structure, and optimized signal processing pipeline yields a practical and accessible radar prototype. Experimental results demonstrate that the proposed system achieves a displacement resolution of 0.5 mm, meeting the requirements for developing a reliable respiratory-monitoring application and confirming the suitability of SDR-based phase-sensitive radar for low-cost biomedical sensing.