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Fernanda, Heri
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Smart home: Pintu Otomatis Berbasis Voice Recognition Jefiza, Adlian; Puspita, Widya Rika; Firdaus, Fadli; Sihombing, Fitri Andini; Setiawan, Afif; Herlina, Gise; Milala, Gerry Ibnu Luthfi Sembiring; Fernanda, Heri
JURNAL INTEGRASI Vol. 16 No. 1 (2024): Jurnal Integrasi - April 2024
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v16i1.7400

Abstract

The current development of the Smart home is not only used for automation and monitoring of a room, but also used as security or what is usually called security. One form of smart home security technology is an automatic door lock installed in one of the laboratories at the Batam State Polytechnic. Automatic door lock devices are created using Voice Recognition as command input. Users can give the word Open to unlock the door and Close to lock the door. Selenoid Door Lock is used as a tool to lock doors, and LEDs and speakers are used for information. The tool is tested by giving commands by registered and unregistered users. The test results were 100% of the tool worked for registered users with normal Voice intonation, 77% of the tool worked for unregistered users with normal Voice intonation, 48% of the tool worked for registered users with abnormal Voice intonation and 43% of the tool worked for registered users. not registered with abnormal Voice intonation. Thus, the average tool works well by 67%.
Smart home: Monitoring Kondisi Cuaca Menggunakan Sensor Kelembapan dan Kecepatan Angin Berbasis Metode Fuzzy Jefiza, Adlian; Fernanda, Heri; Firdaus, Fadli
JURNAL INTEGRASI Vol. 16 No. 2 (2024): Jurnal Integrasi - Oktober 2024
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v16i2.8483

Abstract

Global warming has changed weather patterns in Indonesia, making it difficult to predict, and often the weather changes rapidly, such as sudden rain when the weather is hot. This study aims to overcome the problem of sudden weather changes by using a set of tools that can monitor humidity and wind speed based on the Internet of Things (IoT). This system uses an ESP32 microcontroller combined with a DHT22 sensor to measure humidity and an anemometer to measure wind speed. The collected data will be processed to produce an analysis of weather conditions using the fuzzy logic method and stored in Firebase for efficient data management. In addition, the user interface is designed based on Android Studio to facilitate real-time monitoring. The results of the study show that the developed system is able to provide accurate and reliable weather information, thus helping people plan their activities better.