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All Journal Infotek : Jurnal Informatika dan Teknologi SEMINAR TEKNOLOGI MAJALENGKA (STIMA)
Rahmatunnisa, Elsa Nabila
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Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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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
PERANCANGAN ANTARMUKA APLIKASI ANDROID PENGENALAN EMOSI SUARA MANUSIA PADA DINAS PARIWISATA DAN KEBUDAYAAN KABUPATEN MAJALENGKA Rahmatunnisa, Elsa Nabila; Prasetyo , Tri Ferga
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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Abstract

The development of artificial intelligence technology has opened up opportunities for the application of Speech Emotion Recognition (SER) in various fields, including arts and culture. Manual voice emotion assessment is often subjective, so a more objective and practical application-based solution is needed. This study aims to design an Android application interface to recognize various human voice emotions that can support the Tourism and Culture Office at Majalengka Regency (Disparbud Majalengka) in evaluating artistic and cultural expressions. The methodology used is Rapid Application Development (RAD), which emphasizes the speed of iteration and prototyping by involving user feedback. The research process included literature studies, observations, interviews, needs analysis, wireframe design, UML diagram creation, and interface implementation using Android Studio with the Kotlin programming language. The implementation results showed that the application was able to provide key features such as voice recording, emotion analysis, recording history storage, and data management. Testing was conducted using Black Box Testing to ensure that the system functions according to specifications, as well as the System Usability Scale (SUS) method to assess the user experience. The SUS score obtained shows that the application is in the “acceptable” category and is therefore suitable for use. This research is expected to support technological innovation in the development of local arts and culture.
Co-Authors Aripin, Ali Maulana Hapid Fernanda, Billy Adrian Prasetyo , Tri Ferga Yusuf Maulana, Yusuf