Analisis Traffic Data ESP8266 pada Perangkat Middleware

Unang Achlison ; Khoirur Rozikin ; Fujiama Diapoldo Silalahi ; Yogiswara

Jurnal Elektronika dan Komputer 📅 2022 Vol 15, No 1 🔗 DOI: 10.51903/elkom.v15i1.818

Abstract

Almost every house already uses a Wifi network as internet access. With the help of this Wifi network, it is used as Middleware that can be controlled and monitored when outside the home. This study engineered data packet traffic using the ESP8266 wifi module on the Middleware device network to find out how fast the data packet capture time using wifi can be controlled and monitored when outside the home. Based on the analysis, the measurement results on the IoT device network to find out how fast the data time using wifi it reaches 2.95 kbps to 7.4 kbps.

Keywords

Traffic Data Middleware IoT

How to Cite

Unang Achlison, et al. (2022). Analisis Traffic Data ESP8266 pada Perangkat Middleware. Jurnal Elektronika dan Komputer, 15(1). https://doi.org/10.51903/elkom.v15i1.818

Unang Achlison; Khoirur Rozikin; Fujiama Diapoldo Silalahi; Yogiswara, "Analisis Traffic Data ESP8266 pada Perangkat Middleware," Jurnal Elektronika dan Komputer, vol. 15, no. 1, 2022.

Unang Achlison; Khoirur Rozikin; Fujiama Diapoldo Silalahi; Yogiswara. "Analisis Traffic Data ESP8266 pada Perangkat Middleware." Jurnal Elektronika dan Komputer, vol. 15, no. 1, 2022.

Unang Achlison; Khoirur Rozikin; Fujiama Diapoldo Silalahi; Yogiswara. "Analisis Traffic Data ESP8266 pada Perangkat Middleware." Jurnal Elektronika dan Komputer 15, no. 1 (2022).

Unang Achlison, et al. (2022) 'Analisis Traffic Data ESP8266 pada Perangkat Middleware', Jurnal Elektronika dan Komputer, 15(1). doi: 10.51903/elkom.v15i1.818.

Unang Achlison; Khoirur Rozikin; Fujiama Diapoldo Silalahi; Yogiswara. Analisis Traffic Data ESP8266 pada Perangkat Middleware. Jurnal Elektronika dan Komputer. 2022;15(1).

Analisis Kinerja Metode Long Short-Term Memory (LSTM) dalam Klasifikasi Sentimen Ulasan Pengguna Shopee

Muhimatul Ifadah; Muhimatul Ifadah; Bambang Irawan

Klasifikasi Jenis Bunga Menggunakan Algoritma Convolutional Neural Network (CNN)

Ade Irgi Firdaus; Ade Irgi Firdaus; Dwi Okta Djoas; Riefaldi Diofano Saputra; Indry Anggraeny; Hilda Apriliya Ningsih

Prediksi Harga Saham Menggunakan ARIMA Outlier sebagai Pendekatan Awal Menuju Analisis AI Keuangan

Adam, Cindi; Adam, Cindi; Idhom, Mohammad; Trimono, Trimono

Analisis Performansi Pendekatan Machine Learning Pada Deteksi Penyakit Daun Tanaman Kopi

Purnomo, Rosyana Fitria; Purnomo, Rosyana Fitria; Yodhi Yuniarthe; Hilda Dwi Yunita; Fatimah Fahurian; Ahmad Ikhwan

Hybrid Apriori–MST Framework for Revealing the Structural Backbone of Consumer Purchase Patterns

Marta Dinata, Riadi; Kurniawan Atmadja; Marhaeni Mahaeni; Lely Mustika

Rancang Bangun Antena Mikrostrip Patch Triangular Pada Frekuensi 1800 Mhz Sebagai Penguat Jaringan Internet Di Kebun Raya Balikpapan

Nurmeiliana Putri; Maria Ulfah; Fathur Zaini Rachman; Maria Ulfah

Tren Sitasi Jurnal