Sistem Presensi Praktikum Berbasis Sidik Jari dan ESP32 dengan Monitoring Website Real-Time

Vega Satria; Desriyanti Desriyanti; Didik Riyanto

doi:10.56211/blendsains.v5i2.2092

Authors

Vega Satria Universitas Muhammadiyah Ponorogo
Desriyanti Universitas Muhammadiyah Ponorogo
Didik Riyanto Universitas Muhammadiyah Ponorogo

DOI:

https://doi.org/10.56211/blendsains.v5i2.2092

Keywords:

ESP32; Monitoring Website; Presensi Praktikum; Real-Time; Sidik Jari

Abstract

Pencatatan presensi praktikum secara manual berisiko menimbulkan kesalahan, memperlambat rekapitulasi, dan menyulitkan pemantauan kehadiran secara real-time, sehingga diperlukan sistem presensi digital yang terintegrasi. Penelitian ini bertujuan merancang dan menguji sistem presensi praktikum berbasis sidik jari yang terhubung dengan website monitoring secara real-time. Metode penyelesaian masalah dilakukan melalui studi lapangan di Laboratorium Teknik Elektro, studi literatur, perancangan perangkat keras dan perangkat lunak, pengujian fungsional, serta evaluasi kinerja sistem. Sistem dibangun dari mikrokontroler ESP32 sebagai pengendali utama, sensor sidik jari AS608 untuk autentikasi biometrik, modul Real Time Clock (RTC) DS3231 sebagai penanda waktu, LCD I2C 16×2, LED, dan buzzer sebagai indikator, serta website berbasis Laravel (PHP) dan MySQL untuk penyimpanan dan penampilan data yang dikirim melalui jaringan Wi-Fi. Tahapan penelitian meliputi studi lapangan di Laboratorium Teknik Elektro, studi literatur, perencanaan dan perancangan alat, pengujian, serta evaluasi. Hasil pengujian menunjukkan bahwa seluruh percobaan identifikasi sidik jari berhasil (5 dari 5 percobaan) dengan waktu respons rata-rata 0,87 detik, pengiriman data ke website rata-rata 1,29 detik, dan waktu respons pada pengujian sistem keseluruhan berkisar 0,72–2,14 detik, sehingga memenuhi kriteria keberhasilan yang ditetapkan (akurasi ≥ 90% dan waktu pengiriman < 5 detik). Website mampu menampilkan data kehadiran, mengelola data mahasiswa, praktikum, dan nilai, serta mengekspor data ke Excel. Kebaruan penelitian ini terletak pada integrasi sidik jari berbasis ESP32 dan website monitoring presensi praktikum secara real-time, dengan kinerja yang dipengaruhi kondisi jari dan kualitas jaringan.

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