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All Journal Multitek Indonesia : Jurnal Ilmiah International Journal of Electrical and Intelligent Engineering
Maulina Safitri
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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METODE VIOLA-JONES RANCANG BANGUN SMART DOOR LOCK PINTU LABORATORIUM MENGGUNAKAN VIOLA JONES Achmad Fiqhi Ibadillah; Miftachul Ulum; Maulina Safitri
MULTITEK INDONESIA Vol 15, No 2 (2021): Desember
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/mtkind.v15i2.2428

Abstract

Perkembangan teknologi saat ini begitu pesat, dan sudah banyak dimanfaatkan dalam kebutuhan manusia untuk mempermudah beraktivitas. Seperti halnya image processing yang terus berkembang hingga saat ini dengan tujuan membantu manusia dalam bekerja.  Dalam penelitian ini akan membahas smart door lock pada pintu masuk laboratorium berbasis image processing menggunakan metode Viola-Jones untuk mendeteksi wajah pengunjung laboratorium dengan menggunakan pengunci otomatis. Sistem pada smart door lock ini menggunakan kamera yang akan mengambil gambar, komputer sebagai pengolah citra, Arduino sebagai pemberi fungsi logika, relay sebagai switch tegangan, dan selenoid door lock sebagai output. Pengujian dilakukan dengan empat karakteristik  wajah yang berbeda yaitu, wajah tanpa memakai penutup  serta kacamata, wajah yang memakai kacamata transparan, wajah yang memakai kacamata gelap, dan wajah yang memakai  penutup wajah. Berdasarkan pengujian yang telah dilakukan dalam penelitian, maka didapatkan nilai rata-rata persentase keberhasilan pendeteksian wajah dengan empat karakterisktik yang berbeda menggunakan metode Viola-Jones sebesar 88,83%. ABSTRACTCurrent technological developments are so rapid, and have been widely used in human needs to facilitate activities. As well as image processing that continues to grow until now with the aim of helping humans at work. In this study, we will discuss the image processing-based laboratory entrance security system using the Viola-Jones method to detect the faces of visitors to the laboratory using automatic locking. This security system uses a camera that will take pictures, a komputer as an image processor, Arduino as a logic function provider, relay as a voltage switch, and seloid door lock as output. Tests carried out with four different facial characteristics, namely, the face without wearing a face cover and glasses, a face wearing transparent glasses, a face wearing dark glasses, and a face wearing a face cover. Based on the tests carried out in the study, the average value of the success of face detection with four different characteristics was obtained using the Viola-Jones method of 88.83%.
3D Object Movement Transformation Using FPS and TPS Camera View Modes in OpenGL MAULINA SAFITRI; RAMA YUSUF MAHENDRA; Rasyeedah Binti Mohd Othman; Riffani Fathia Annisa
International Journal of Electrical and Intelligent Engineering Vol 1, No 2 (2025)
Publisher : Department of Electrical Engineering Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ijeie.v1i2.34209

Abstract

Object transformation in three-dimensional space is a fundamental component in the development of interactive and realistic 3D modeling systems, particularly for control-based visual simulations and gaming applications. This study investigates the use of two camera viewpoint modes First-Person Shooter (FPS) and Third-Person Shooter (TPS) in a 3D object movement simulation implemented using OpenGL. The system is developed in Python using the Pygame library and applies basic object transformations, including translation, rotation, and scaling, based on homogeneous coordinates. Both camera modes are evaluated within the same simulation environment consisting of a car object, boundary walls, and obstacles. Experimental results show that the TPS camera mode provides better navigation performance by reducing collision frequency and offering a broader view of the environment, while the FPS camera mode delivers a more immersive experience with limited spatial visibility. Comparative graphs of navigation completion time and collision count highlight clear performance differences between the two camera modes. These results indicate that camera viewpoint selection significantly affects navigation efficiency and user experience in 3D visualization systems. The proposed simulation can serve as a foundation for visual-based control systems, virtual training environments, and educational applications involving spatial navigation.
Co-Authors Achmad Fiqhi Ibadillah RAMA YUSUF MAHENDRA Rasyeedah Binti Mohd Othman Riffani Fathia Annisa Ulum, Miftachul