Pengembangan Lengan Robot Untuk Sistem Absensi Berbasis Teknologi IoT dan RFID

Abstract

Hubungan emosional antara perusahaan dan karyawan sangat mempengaruhi kinerja karyawan. Hubungan ini dapat dibina sejak karyawan melakukan absensi pagi. Namun, sistem absensi berbasis RFID saat ini belum mendukung hubungan emosional tersebut. Penelitian ini merancang sistem absensi inovatif dengan lengan robot untuk meningkatkan hubungan emosional antara perusahaan dan karyawan. Sistem ini menggunakan teknologi IoT, RFID, buzzer, motor servo SG90, dan lengan robot. Implementasi IoT memungkinkan pemantauan kehadiran karyawan untuk dianalisis dalam menentukan kebijakan perusahaan. Sistem diuji dengan tiga pengujian: deteksi RFID, respons kartu berdasarkan jarak dan waktu, serta respons posisi scanning ID card karyawan. Pengujian pertama menunjukkan sistem beroperasi saat ID card karyawan terdeteksi. Pengujian kedua menunjukkan waktu respons dan jarak deteksi ID card karyawan lebih cepat dan jauh dibandingkan dengan e-KTP. Pengujian ketiga menunjukkan area scanning 3 cm dan tengah ID card karyawan berhasil terdeteksi, sementara area 1 cm dan 2 cm gagal.

The emotional relationship between the company and employees greatly influences employee performance. This relationship can be fostered from the moment employees attend morning attendance. However, current RFID-based attendance systems do not support this emotional connection. This research designs an innovative attendance system with a robotic arm to improve the emotional relationship between the company and employees. This system uses IoT technology, RFID, buzzer, SG90 servo motor, and robot arm. IoT implementation allows employee attendance monitoring to be analyzed in determining company policies. The system was tested with three tests: RFID detection, card response based on distance and time, and employee ID card scanning position response. The first test shows the system operates when an employee's ID card is detected. The second test showed that the response time and detection distance of employee ID cards were faster and farther compared to eKTP. The third test showed that the 3 cm scanning area and the middle of the employee ID card were successfully detected, while the 1 cm and 2 cm areas failed.