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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Armada Informatika Electronic Integrated Computer Algorithm Journal
Julham
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Social Sciences

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The Effectiveness Of OpenCV Based Face Detection In Low-Light Environments Julham; Sandy S T Hutagalung; Kevin C Simalango; Samuel Lumbantobing
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 1 (2023): Issues July 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i1.9851

Abstract

A face detection experiment based on OpenCV is a technology used to identify and find human faces in digital images or videos. This technology uses algorithms and image processing techniques to analyze the pixels in an image or video frame and determine if they contain a human face. The aim of this research is to determine the effectiveness of OpenCV-based face detection using the Viola-Jones algorithm with low-intensity brightness environmental conditions. The research was conducted with light intensity levels of 10 Lux, 30 Lux, and 50 Lux and was carried out using the camera on the ASUS TUF DASH 15 FX517ZC laptop. Data in evaluation using evaluation metrics containing the formula recall, precision, F-Score, and accuracy. The results of the study showed that experiments with higher light intensities up to 50 Lux showed the best level of efficiency according to the accuracy values (99.2%), f-score(0.996), and recall (0.993), so the system is best done with a brightness of 50 Lux. Face detection is affected by the camera that used, in addition, rotation of face is important for the system to detect faces, despite video recording in high light intensity environments
Utilization of Service Set Identifiers (SSID) with ESP-01 in Wireless Networks for Lighting Automation Julham; Putra, Purwa Hasan; Ramli, Muslim
Electronic Integrated Computer Algorithm Journal Vol. 2 No. 1 (2024): VOLUME 2, NO 1: OCTOBER 2024
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v2i1.29

Abstract

Wireless networks better known as WiFi (Wireless Fidelity) are often used as a medium for exchanging data, for example: the internet. Each WiFi is equipped with an identity so that users can connect. This identity is known as SSID (Service Set Identifier). In this research, the focus is on assembling the SSID sensor which aims to detect the SSID as well as connect the SSID. So if the connection is successful, the light will be on. This happens because the lamp is connected to an electricity source, and vice versa, the lamp goes out because the lamp is not connected to an electricity source. The description of the system created consists of an input part and a process part, namely the ESP-01 which is capable of providing WiFi, and an output part, namely the relay. From controlling the light conditions, it was found that the average time required to change conditions from on to off was 3.052 seconds and the average time required to change conditions from off to on was 3.036 seconds.
Sistem Pendeteksi Asap dan Kebocoran Gas LPG Berfitur Penangkap Gambar Berbasis Iot dan Mikrokontroler Julham; Hikmah Adwin Adam; Sitompul, Noferianto
Jurnal Armada Informatika Vol 10 No 1 (2026): Juni
Publisher : STMIK Methodist Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36520/jai.v10i1.206

Abstract

Sistem dengan multifungsi seperti berkemampuan deteksi kandungan gas LPG di udara, deteksi kandungan gas CO di udara serta berkemampuan deteksi citra manusia dalam satu sistem bertujuan agar dapat membantu pengguna mengantisipasi akibat dari dampak bocornya gas LPG pada tabung gas rumah tangga berupa ledakan tiba-tiba, dan dampak dari kandunga gas CO yang berlebihan (asap dari kebakaran) berupa dapat menggangu kehilangan kesadaran, sesak nafas sehingga mengakibatkan kematian. Selain itu sistem mampu mendeteksi gas sekaligus dapat memprediksi citra/gambar manusia yang ada didepan sistem. Dan hasilnya disimpan di cloud server. Sistem tersebut akan terkoneksi ke cloud server melalui jaringan internet. Cloud server ini difungsikan untuk menampilkan dan menyimpan citra/gambar manusia hasil tangkapan dari sensor citra, sekaligus menampilkan data sensor gas LPG dan gas CO. Sedangkan untuk mengakses fungsinya adalah menggunakan browser (seperti: Mozilla. Chrome, dan lain-lain) yang terpasang di komputer atau di smartphone. Yang menjadi fokus penelitian ini adalah pengamatan di cloud server berupa interval waktu pembacaan gas LPG, interval waktu pembacaan gas CO dan waktu deteksi citra/gambar manusia yang dimulai dari sensor citra sampai ke cloud server dan jarak deteksi yang terbaik agar objek dapat diproses dan menghasilkan hasil yang optimal. Metode penelitian yang digunakan adalah metode research dan development
Co-Authors Hikmah Adwin Adam Kevin C Simalango Putra, Purwa Hasan Ramli, Muslim Samuel Lumbantobing Sandy S T Hutagalung Sitompul, Noferianto