Unan Yusmaniar Oktiawati
Universitas Gajah Mada

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Sistem Pemantau dan Pengendali Suhu Ruang Server Menggunakan Fuzzy Berbasis Mikrokontroler RobotDyn Budi Indra Gunawan; Unan Yusmaniar Oktiawati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1215.97 KB) | DOI: 10.29207/resti.v4i1.1207

Abstract

Server role becomes very important to provide service to clients. Therefore the performance of the server needs to be maintained. The performance of the server is not only influenced by the technology of the hardware but also influenced by server room ideal temperature and humidity condition. Monitoring and adjusting temperature condition is not possible to be done continuously manually because of limited human resources. One of the solutions is using a system based on the Internet of Things (IoT). This research proposed a prototype of server room temperature and humidity real-time monitoring system using RobotDyn ATmega+ESP8266 microcontroller and the Blynk IoT platform. The prototype also can maintain the temperature of server room on ideal condition by controlling Air Conditioner using Fuzzy logic Mamdani Method and infrared communication. The result of this research a prototype that can read temperature and humidity of server room accurately realtive error for temperature is 0,81% and relative error for humidity is 4,52%. Quality of Service for data transmission from prototype to Blynk Platform is very good, with average delay 127.54ms, average packet loss ratio 0.54%, average packet delivery ratio 99.46%, and average throughput 10.5 kbps. Control System that built using fuzzy logic Mamdani Method can automatically control the value of Air Conditioner temperature output that adjust the condition of server room with maximum range for control Air Conditioner is 4 meters and 45° from Air Conditioner’s transmitter
Performance Evaluation of ESP32 Sensors for Blynk-Based Smart Home Monitoring Fitri Puspasari; Unan Yusmaniar Oktiawati; Muhammad Arrofiq; Imroatul Hudati
JURNAL EDUNITRO Jurnal Pendidikan Teknik Elektro Vol. 6 No. 2 (2026): October Issue
Publisher : Department of Electrical Engineering Education - Faculty of Engineering - State University of Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68437/jejpte.v6i2.2

Abstract

This study presents a quantitative analytical evaluation of an integrated ESP32-based smart home system for environmental monitoring, hazard detection, and proximity sensing connected via the Blynk cloud platform. The prototype incorporates a DHT11 sensor for ambient temperature and relative humidity, an MQ-2 semiconductor sensor for LPG leak detection, and an HC-SR04 ultrasonic sensor for distance measurement. Experimental evaluation across repeated continuous trials demonstrated reliable real-time data acquisition and multi-channel alert delivery via Blynk push notifications and automated emails. Statistical analysis against reference instruments revealed high accuracy for the DHT11 sensor, achieving a Mean Absolute Error (MAE) of 1.05°C (RMSE = 1.15°C) for temperature and an MAE of 1.15% (RMSE = 1.27%) for relative humidity, both well within commercial manufacturer tolerances. The HC-SR04 ultrasonic sensor operated accurately over a 5 to 60 cm distance range with an overall MAE of 0.92 cm (RMSE = 0.96 cm). Overall, the proposed system delivers a robust, cost-effective solution for smart residential monitoring and serves as a highly practical instructional trainer kit for IoT and electrical engineering education.