RANCANG BANGUN APLIKASI ANDROID PRESENSI KEHADIRAN DENGAN VERIFIKASI FACE RECOGNITION PADA PT WIRA INTI MULYA MENGGUNAKAN METODE WATERFALL

Nathanael Christian Albertus, . (2025) RANCANG BANGUN APLIKASI ANDROID PRESENSI KEHADIRAN DENGAN VERIFIKASI FACE RECOGNITION PADA PT WIRA INTI MULYA MENGGUNAKAN METODE WATERFALL. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

[img] Text
ABSTRAK.pdf

Download (513kB)
[img] Text
AWAL.pdf

Download (1MB)
[img] Text
BAB 1.pdf
Restricted to Repository UPNVJ Only

Download (525kB)
[img] Text
BAB 2.pdf
Restricted to Repository UPNVJ Only

Download (1MB)
[img] Text
BAB 3.pdf
Restricted to Repository UPNVJ Only

Download (525kB)
[img] Text
BAB 4.pdf
Restricted to Repository UPNVJ Only

Download (2MB)
[img] Text
BAB 5.pdf

Download (479kB)
[img] Text
DAFTAR PUSTAKA.pdf

Download (418kB)
[img] Text
RIWAYAT HIDUP.pdf
Restricted to Repository UPNVJ Only

Download (110kB)
[img] Text
LAMPIRAN.pdf
Restricted to Repository UPNVJ Only

Download (2MB)
[img] Text
HASIL PLAGIARISME.pdf
Restricted to Repository staff only

Download (23MB)
[img] Text
ARTIKEL KI.pdf
Restricted to Repository staff only

Download (371kB)

Abstract

This study designs and develops an Android-based attendance application for PT Wira Inti Mulya to overcome limitations of manual systems by employing face recognition verification and location tracking. The Waterfall model guides the project through requirement analysis, system design, implementation, testing, and maintenance phases. Built in Android Studio, the app integrates TensorFlow Lite for on-device face recognition and Google Maps API for geofencing. Employee and attendance records are managed via a local database and Firebase. Functional testing confirms that all features meet specifications, while accuracy tests demonstrate a high verification success rate under varied lighting and facial angles. These results indicate that the application effectively enhances the reliability and efficiency of the attendance process.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 2110511113] [Pembimbing 1: Tjahjanto] [Pembimbing 2: Bayu Hananto] [Penguji 1: Didit Widiyanto] [Penguji 2: Radinal Setyadinsa]
Uncontrolled Keywords: Attendance; Face Recognition; Android; Waterfall; Geolocation
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User: NATHANAEL CHRISTIAN ALBERTUS
Date Deposited: 08 Sep 2025 07:12
Last Modified: 08 Sep 2025 07:12
URI: http://repository.upnvj.ac.id/id/eprint/39335

Actions (login required)

View Item View Item