TY  - THES
M1  - other
TI  - PERANCANGAN SISTEM MONITORING KUALITAS JARINGAN INTERNET BERBASIS ESP32 DENGAN NEXTION LCD TFT TOUCHSCREEN
PB  - Universitas Pendidikan Indonesia
Y1  - 2025/08/27/
KW  - ESP32
KW  -  upload speed
KW  -  download speed
KW  -  Nextion
KW  -  monitoring jaringan
UR  - https://repository.upi.edu/
ID  - repoupi137719
AV  - restricted
N1  - https://scholar.google.com/citations?hl=en&user=AbL5TfQAAAAJ

ID SINTA Dosen Pembimbing
Wirmanto Suteddy: 6745736
MUHAMMAD TAUFIK DWI PUTRA: 6745726
A1  - Lucky Luckman Nulhakim, -
A1  - Wirmanto Suteddy, -
A1  - Muhammad Taufik Dwi Putra, -
N2  - Koneksi internet yang cepat dan stabil penting untuk aktivitas digital di pendidikan, pekerjaan, dan rumah tangga. Pengguna maupun penyedia layanan tentu membutuhkan sistem yang mampu memantau, menganalisis, dan mendeteksi masalah kualitas jaringan secara real-time agar gangguan dapat segera diantisipasi. Dengan demikian, sistem monitoring kualitas jaringan internet berbasis ESP32 disiapkan, memanfaatkan Nextion LCD TFT dan aplikasi MIT App Inventor untuk antarmuka pengguna. Sistem ini menampilkan tiga parameter utama Wi-Fi, yakni kecepatan unduh (download speed), kecepatan unggah (upload speed), dan ping (latensi), yang diukur secara real-time melalui server Cloudflare Speedtest. Penelitian menggunakan model Research and Development (R&D) melalui tahapan analisis kebutuhan, perancangan, implementasi, dan pengujian. Uji coba dilakukan di 2 tempat yang berbeda yaitu di Universitas Pendidikan Indonesia Kampus Cibiru dan rumah peneliti pada waktu pagi, siang, sore, serta malam hari (khusus jaringan rumah). Data dianalisis dengan metode statistik kuantitatif menggunakan perhitungan rata-rata (mean), median, standard deviation dan uji-t (t-test). Hasil pengukuran menunjukkan kecepatan unduh di kampus 1,51 ±0,02 Mbps, lebih tinggi dibanding rumah 1,22 ±0,32 Mbps. Kecepatan unggah kampus 1,31 ±0,03 Mbps, rumah 0,92 ±0,29 Mbps. Ping kampus relatif stabil 21,2 ±1,81 ms, sementara rumah 50,9 ±36,98 ms. Analisis grafik traffic jaringan menunjukkan penurunan performa pada jam sibuk 18.00?20.00 WIB, dengan unduh rumah turun sekitar 15% dan ping meningkat hingga 148 ms. Satu anomali di kampus tercatat saat perangkat jauh dari router (ping 558 ms), menegaskan pengaruh posisi terhadap kestabilan jaringan. Sistem ini dapat menampilkan data akurat dan responsif, menjadi solusi praktis monitoring berbasis ESP32.
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A fast and stable internet connection is essential for digital activities in education, work, and household settings. Both users and service providers require a system capable of monitoring, analyzing, and detecting network quality issues in real-time to promptly address potential disruptions. Accordingly, an ESP32-based internet network monitoring system was developed, utilizing a Nextion LCD TFT and MIT App Inventor application for the user interface. The system tracks three main Wi-Fi parameters download speed, upload speed, and ping (latency) measured in real-time via the Cloudflare Speedtest server. This study applies a Research and Development (R&D) model through the stages of needs analysis, design, implementation, and testing. Experiments were conducted at two locations: Universitas Pendidikan Indonesia Cibiru Campus and the researcher?s home, at morning, afternoon, evening, and night (for home network). Data were analyzed quantitatively using mean, median, standard deviation, and t-test. Results showed that campus download speed averaged 1.51 ±0.02 Mbps, higher than home 1.22 ±0.32 Mbps; upload speed was 1.31 ±0.03 Mbps at campus and 0.92 ±0.29 Mbps at home. Campus ping remained stable at 21.2 ±1.81 ms, while home ping averaged 50.9 ±36.98 ms. Traffic analysis revealed performance drops during peak hours (18:00?20:00), with home download speed decreasing by about 15% and ping rising to 148 ms. One anomaly was observed on campus when the device was far from the router (ping 558 ms), highlighting the effect of device location on network stability. The system demonstrated accurate and responsive data display, offering a practical ESP32-based monitoring solution.
ER  -