AGUSTIAN, ARI (2026) RANCANG BANGUN SISTEM MONITORING POSISI KARYAWAN BERBASIS WEB DASHBOARD. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
The rapid development of Internet of Things (IoT) technology has increased the demand for employee monitoring systems that can provide real-time location information to improve attendance accuracy, operational efficiency, and workplace safety. This study aims to design and implement a web-based employee position monitoring system using Bluetooth Low Energy (BLE) technology integrated with a web dashboard as a centralized monitoring platform. The system utilizes BLE beacons as unique identifiers for employees, an ESP32 module as a signal scanning device, and a web-based server connected to a database to process, store, and display location data in real time. This research employs an experimental method with a prototype-based development approach, in which the system is designed, implemented, and tested directly in a real working environment. Employee position determination is carried out using an RSSI-based zone positioning method, where the Received Signal Strength Indicator (RSSI) values from BLE beacons are analyzed to determine the employee’s location zone within the working area. The research stages include system requirement analysis, hardware and software design, implementation of communication between the ESP32 and the server, database integration, and comp rehensive system testing. The system is also equipped with a zone violation detection feature and an automatic notification mechanism via a Telegram Bot to provide alerts when employees leave predefined work areas. In addition, the system is capable of generating zone violation reports in PDF format for documentation and evaluation purposes. The experimental results show that the BLE and ESP32 hardware successfully detected and identified registered beacons with a detection accuracy of 100%. The web dashboard was able to display employee locations in real time with a location accuracy of 100% after the signal condition became stable. Furthermore, the Telegram notification feature achieved a 100% success rate in delivering zone violation alerts. These results indicate that the developed system is reliable and suitable for real-time employee position monitoring in workplace environments. Keywords: Internet of Things, BLE, ESP32, RSSI, Employee Monitoring, Web Dashboard, Telegram Bot. Perkembangan teknologi Internet of Things (IoT) mendorong kebutuhan akan sistem monitoring karyawan yang mampu menyajikan informasi posisi secara realtime untuk meningkatkan akurasi pencatatan kehadiran, efektivitas operasional, serta keselamatan kerja di lingkungan industri. Penelitian ini bertujuan untuk merancang dan membangun sebuah sistem monitoring posisi karyawan berbasis Bluetooth Low Energy (BLE) yang terintegrasi dengan web dashboard sebagai media pemantauan terpusat. Sistem ini memanfaatkan beacon BLE sebagai identitas unik karyawan, modul ESP32 sebagai perangkat pemindai sinyal, serta server berbasis web yang terhubung dengan basis data untuk memproses, menyimpan, dan menampilkan data posisi secara real-time Metode yang digunakan dalam penelitian ini adalah metode eksperimental dengan pendekatan rancang bangun (prototype-based development), di mana sistem dikembangkan, diimplementasikan, dan diuji secara langsung pada lingkungan kerja. Penentuan posisi karyawan dilakukan menggunakan metode RSSI-based zone positioning, yaitu dengan menganalisis nilai Received Signal Strength Indicator (RSSI) dari beacon BLE untuk menentukan zona lokasi karyawan di dalam area kerja. Tahapan penelitian meliputi analisis kebutuhan sistem, perancangan perangkat keras dan perangkat lunak, implementasi komunikasi antara ESP32 dan server, integrasi basis data, serta pengujian sistem secara menyeluruh. Sistem juga dilengkapi dengan fitur deteksi pelanggaran zona dan mekanisme notifikasi otomatis melalui Telegram Bot, serta pembuatan laporan pelanggaran dalam format PDF sebagai dokumentasi. Hasil pengujian menunjukkan bahwa perangkat keras BLE dan ESP32 mampu mendeteksi dan mengenali beacon secara konsisten dengan tingkat akurasi 100%. Sistem web dashboard mampu menampilkan lokasi karyawan secara real-time dengan tingkat akurasi lokasi mencapai 100% setelah kondisi sinyal stabil. Selain itu, fitur notifikasi Telegram menunjukkan tingkat keberhasilan 100% dalam mengirimkan peringatan pelanggaran zona. Dengan demikian, sistem yang dikembangkan terbukti andal dan layak digunakan sebagai solusi monitoring posisi karyawan berbasis web. Kata kunci: Internet of Things, BLE, ESP32, RSSI, Monitoring Karyawan, Web Dashboard, Telegram Bot.
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