Abdul Rauf Ghufron, . (2026) PERANCANGAN SISTEM MONITORING KEHADIRAN MAGANG DENGAN DASHBOARD ANALITIK PADA PUSDATIKOMDIK. Tugas Akhir thesis, Universitas Pembangunan Nasional Veteran Jakarta.
![[img]](http://repository.upnvj.ac.id/style/images/fileicons/text.png) |
Text
ABSTRAK.pdf Download (166kB) |
|
Text
AWAL.pdf Download (688kB) |
|
Text
BAB I.pdf Restricted to Repository UPNVJ Only Download (246kB) |
|
Text
BAB II.pdf Restricted to Repository UPNVJ Only Download (322kB) |
|
Text
BAB III.pdf Restricted to Repository UPNVJ Only Download (328kB) |
|
Text
BAB IV.pdf Restricted to Repository UPNVJ Only Download (4MB) |
|
Text
BAB V.pdf Download (224kB) |
|
Text
DAFTAR PUSTAKA.pdf Download (245kB) |
|
Text
RIWAYAT HIDUP.pdf Restricted to Repository staff only Download (138kB) |
|
Text
LAMPIRAN.pdf Restricted to Repository UPNVJ Only Download (935kB) |
|
Text
HASIL PLAGIARISME.pdf Restricted to Repository staff only Download (31MB) |
|
Text
ARTIKEL KI.pdf Restricted to Repository staff only Download (1MB) |
Abstract
The attendance management process for internship participants at the Center for Educational Data and Information Technology (Pusdatikomdik) still relies on Microsoft Excel, resulting in less effective attendance recording and monitoring. This condition increasesthe risk of recording errors and makesit difficult to provide real-time attendance information. This study aims to develop a web-based internship attendance monitoring system utilizing Face Recognition and GPS technologies. The system is also equipped with a digital logbook and a Dashboard Analitik dashboard to support attendance management, monitoring, and data visualization. The system was developed using the Rapid Application Development (RAD) methodology, which includes Requirements Planning, PIECES analysis, system design using Unified Modeling Language (UML), and implementation using the Laravel framework with a MySQL database. System evaluation was conducted through Black Box Testing involving 25 testscenarios and User Acceptance Testing (UAT) using a Likert scale with one internship participant and four supervisors/administrators. The testing results indicated that all system functions operated as expected. The UAT results showed acceptance rates of 98% from the internship participant and 88% from the supervisors/administrators, both categorized as Highly Feasible. The developed system successfully supports digital attendance using Face Recognition and GPS, provides a digital logbook, and presents a Dashboard Analitik dashboard to improve the effectiveness, efficiency, and real-time monitoring of internship attendance management at Pusdatikomdik.
| Item Type: | Thesis (Tugas Akhir) |
|---|---|
| Additional Information: | [No.Panggil: 2310501066] [Pembimbing: Intan Hesti Indriana] [Penguji 1: Ika Nurlaili Isnainiyah] [Penguji 2: M. Bayu Wibisono] |
| Uncontrolled Keywords: | attendance monitoring; Face Recognition; GPS; Rapid Application Development; Dashboard Analitik. |
| 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 Sistem Informasi (DIII) |
| Depositing User: | ABDUL RAUF GHUFRON |
| Date Deposited: | 28 Jul 2026 03:56 |
| Last Modified: | 08 Sep 2026 03:09 |
| URI: | http://repository.upnvj.ac.id/id/eprint/51338 |
Actions (login required)
 |
View Item |