PERANCANGAN APLIKASI PRESENSI JEMAAT MENGGUNAKAN FACE RECOGNITION DENGAN TENSORFLOW LITE PADA GEREJA GKPY VTI BERBASIS ANDROID

Abstract

The presence of congregants in the church plays a crucial role in monitoring the church's development and maintaining accurate attendance records. However, in GKPY VTI church, the current method of collecting attendance data is inefficient, often resulting in lost or damaged data. The absence of a weekly attendance system further compounds the issue. An efficient solution is needed, including the provision of data reports to assist the church's observation team. In an effort to address these challenges, we have designed and implemented an Android-based application utilizing face recognition technology with the Tensorflow method. This research involves planning, analysis, design, and implementation phases.The research results demonstrate that this application successfully records congregants' attendance by recognizing their faces. This success facilitates the church's observation team in obtaining attendance information during each weekly worship service more efficiently. For future development, further research can focus on integrating eye detection features into the attendance system and expanding the application's functionality by adding features such as communal prayer, baptism registration, and services for congregants. These enhancements will provide significant added value to the application users and enrich the church life experience at GKPY VTI.