Sistem Monitoring Detak Jantung Pasien Secara Real-Time Berbasis Wireless Sensor Network (WSN)
Kata Kunci:
Kata Kunci: Wireless Sensor Network, Monitoring Detak Jantung, Jaringan Komputer, Sistem Real-Time, Kesehatan DigitalAbstrak
Pemantauan detak jantung merupakan aspek penting dalam pelayanan kesehatan karena berperan sebagai indikator utama kondisi kardiovaskular pasien. Perkembangan teknologi jaringan komputer dan Internet of Things mendorong pemanfaatan Wireless Sensor Network (WSN) sebagai solusi pemantauan kesehatan secara real-time, kontinu, dan fleksibel, terutama untuk mengatasi keterbatasan sistem monitoring konvensional yang kurang mendukung mobilitas dan pemantauan jarak jauh. Penelitian ini bertujuan untuk merancang, mengimplementasikan, dan mengevaluasi sistem monitoring detak jantung pasien secara real-time berbasis WSN dengan menitikberatkan pada kinerja jaringan, efisiensi energi, dan akurasi data. Penelitian ini menggunakan metode eksperimental kuantitatif dengan pendekatan rekayasa sistem. Sistem dibangun menggunakan node sensor detak jantung, jaringan WSN, dan aplikasi monitoring. Pengujian dilakukan untuk mengukur parameter delay transmisi, packet loss, konsumsi energi node sensor, serta akurasi data dengan membandingkan hasil sistem WSN terhadap alat referensi. Hasil pengujian menunjukkan bahwa sistem mampu mengirimkan data detak jantung secara real-time dengan delay rata-rata di bawah 150 ms dan tingkat packet loss di bawah 2%. Konsumsi energi node sensor relatif stabil sehingga mendukung operasi jangka panjang. Perbandingan data dengan alat referensi menunjukkan selisih nilai detak jantung yang kecil, menandakan tingkat akurasi sistem yang baik. Sistem monitoring detak jantung berbasis WSN yang dikembangkan terbukti andal, efisien, dan akurat untuk pemantauan pasien secara real-time. Hasil penelitian ini menunjukkan bahwa tujuan penelitian tercapai dan sistem layak diterapkan sebagai solusi monitoring kesehatan jarak jauh. Penelitian selanjutnya disarankan untuk mengembangkan aspek keamanan data, skalabilitas jaringan, serta integrasi dengan analitik data dan sistem kesehatan berbasis cloud.
Unduhan
Referensi
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