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Security System Real Time Human Detection Pada Kamera CCTV Menggunakan Opencv Python Rido Wahyudi; Ahmaddul Hadi; Geovanne Farell; Syukhri Syukhri
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 10, No 2 (2022): Vol. 10, No 2, Juni 2022
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v10i2.117074

Abstract

Keamanan merupakan salah satu faktor yang sangat penting, salah satu Teknologi keamanan yang banyak digunakan pada saat ini adalah CCTV (closed-circuit television). Oleh karena itu dibutuhkan sebuah sistem keamanan CCTV yang dapat yang dapat mendeteksi manusia dan memberikan peringatan jika orang tersebut tidak dikenali. Metode penelitian yang digunakan dalam sistem keamanan ini adalah metode pengembangan perangkat lunak dengan model pengembangan SDLC Waterfal. Model ini melakukan pendekatan secara sistematis dan berurutan yang terdiri dari Requirements Gathering and Analysis, Systems Development, Systems Implementation and Coding, Testing, Deployment dan Systems Operation and Maintenance. Arsitektur sistem ini menggunakan bahasa pemrograman python, PHP dan Android. Hasil dari tugas akhir ini adalah menghasilkan sebuah Security System Real Time Human Detection yang dapat memberikan peringatan berupa alarm jika terdeteksi orang yang tidak dikenali, mengirimkan gambar orang yang tidak dikenali tersebut ke penyimpanan cloud dan mengirimkan notifikasi Unknown Detection pada android. Diharapkan dengan adanya Security System Real Time Human Detection ini dapat mengurangi permasalahan yang terjadi dan meningkatkan keamanan.Kata kunci : Keamanan, CCTV, Waterfall, Human Detection  Security is one of the most important factors, one of the security technologies that are widely used today is CCTV (closed-circuit television). Therefore we need a CCTV security system that can detect humans and provide warnings if the person is not recognized. The research method used in this security system is a software development method with the SDLC Waterfall development model. This model takes a systematic and sequential approach consisting of Requirements Gathering and Analysis, Systems Development, Systems Implementation and Coding, Testing, Deployment and Systems Operation and Maintenance. The architecture of this system uses the python, PHP and Android programming languages. The result of this final project is to produce a Real Time Human Detection Security System that can provide a warning in the form of an alarm if an unknown person is detected, sends an image of the unknown person to cloud storage and sends Unknown Detection notifications on android. It is hoped that the Real Time Human Detection Security System can reduce problems that occur and improve security.Keywords: Security, CCTV, Waterfall, Human Detection 
Heuristic Evaluation on Interface of Thesis Management Information System in Vocational Environment Thamrin Thamrin; Ambiyar Ambiyar; Wakhinuddin Simatupang; Rido Wahyudi
Jurnal Teknologi Informasi dan Pendidikan Vol 16 No 2 (2023): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v16i2.727

Abstract

In this study, we used Nielsen's heuristics to analyze the user interface of a thesis management information system in the vocational education environment. This system environment is designed to assist students in managing and organizing all processes related to thesis writing. The main framework in this study is Nielsen's heuristics, supplemented with experiments to evaluate the extent to which the user interface of the system meets user preferences (user-friendly). The population involved in this research consists of faculty members and students, with a sample size of 50 individuals. Analysis and discussion were conducted through the distribution of questionnaires to the participants. Based on the research findings, it was discovered that the Visibility of system status achieved a score of 163.5. Overall, this study concludes that the thesis management information system in the vocational education environment that we developed successfully achieves its main objective by having a user-friendly interface.