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Implementasi Sistem Keamanan Rumah Berbasis Pengenalan Wajah untuk Peningkatan Keamanan Residensial Rahmatunnisa, Elsa Nabila; Fernanda, Billy Adrian; Maulana, Yusuf; Aripin, Ali Maulana Hapid
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 1 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i1.23868

Abstract

The objective of this research is to develop a home security system that utilizes facial recognition technology using the Haar Cascade method and ESP32CAM. In the face of criminal threats, the importance of an effective home security system is increasing. The facial recognition method employed in this study is the Haar Cascade method, which utilizes specific facial features to identify individual identities. The ESP32CAM sensor is used as a camera to capture facial images of the home occupants. The research involves the process of collecting facial image data from the home occupants, which is then used to train the facial recognition model. Subsequently, the model is implemented in a home security system that is connected to the internet and equipped with motion sensors. When motion is detected, the ESP32CAM camera captures an image of the visitor's face and compares it with the previously identified facial data. If a match is found, the system grants access to the visitor. The research results demonstrate that the developed home security system achieves accurate facial recognition with a high success rate. Therefore, this system has the potential to enhance home security and provide better protection for its occupants
SIMULASI PERANCANGAN ANIMASI 2D ALUR PEMBUATAN GULA CAKAR TRADISIONAL KHAS MAJALENGKA MENGGUNAKAN METODE MDLC Aripin, Ali Maulana Hapid; Bastian, Ade
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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Abstract

Majalengka has a unique culinary heritage in the form of gula cakar, but the process of making it is rarely documented, so it could be forgotten as time goes by. This study aims to design a 2D animation that simulates the traditional process of making gula cakar as an educational and cultural preservation tool. The method used is the Multimedia Development Life Cycle (MDLC), which includes the stages of concept, design, material collection, assembly, and distribution. Data was collected through direct observation, interviews with artisans, and literature reviews, which were then translated into storyboards, character designs, and frame-by-frame animations using Blender and CapCut software. The research outcome is a 2D animated video systematically showcasing the steps of gula cakar production, from ingredient preparation, processing, to product cutting. The animation was distributed through digital platforms such as YouTube and social media to ensure widespread access. The findings indicate that a digital approach can enhance visual appeal while documenting local knowledge. Compared to conventional methods such as oral storytelling, animated media has proven more effective in conveying information, increasing appreciation, and expanding the reach of promoting Majalengka's traditional culinary culture.