IMPLEMENTASI SISTEM MONITORING ASAP ROKOK MENGGUNAKAN SMARTPHONE BERBASIS IOT

Penulis

  • Nanang Setiyawan Universitas Putera Batam
  • Andi Maslan

DOI:

https://doi.org/10.33884/comasiejournal.v10i4.8609

Kata Kunci:

Arduino Uno, Android, Internet of Things, NodeMCU, Smoke Detector

Abstrak

Cigarette smoke not only reduces indoor air quality but is very dangerous for the health of both those who smoke and those around them. The chemicals contained in cigarette smoke can cause disease to attack the body. Several actions to reduce the impact of cigarette smoke, such as the government's policy of making pictures of mouth cancer on cigarette packs, writing and pictures prohibiting smoking are often ignored by smokers so they are still seen smoking in public places. Previous research showed that monitoring systems in the form of SMS text messages and website-based applications were still deemed to be less effective. Therefore, in this research, a cigarette smoke detector was built in a closed room using the MQ-2 sensor and the SHARP GP2Y1010AUOF smoke sensor as a smoke detector and controlled using Arduino Uno and NodeMCU V3. Sensor reading values are sent using an internet connection then stored in real time in the Firebase database and displayed on the Android smartphone application. If the sensor detects cigarette smoke, the application provides a notification on the application and a buzzer sounds on the device.

Referensi

Ardiansyah, Fendi, and Pressa P.S.S. 2018. “SISTEM MONITORING DEBU DAN KARBON MONOKSIDA.” 2(3):62–71.

Ayun, Indanazulfa Qurrota, and Rodhiah Umaroh. 2023. “Polusi Udara Dalam Ruangan Dan Kondisi Kesehatan: Analisis Rumah Tangga Indonesia.” Jurnal Ekonomi Dan Pembangunan Indonesia 23(1):16–26. doi: 10.21002/jepi.2022.02.

Saragih, S., & Harisno, H. (2015). Influence of Knowledge Sharing and information technology innovation on Employees Performance at Batamindo Industrial Park. CommIT (Communication and Information Technology) Journal, 9(2), 45. https://doi.org/10.21512/commit.v9i2.1657

Efendi, Yoyon. 2018. “Internet Of Things (Iot) Sistem Pengendalian Lampu Menggunakan Raspberry Pi Berbasis Mobile.” Jurnal Ilmiah Ilmu Komputer 4(2):21–27. doi: 10.35329/jiik.v4i2.41.

Khairullah, Alif, Agung Susilo Yuda Irawan, and Didi Juardi. 2022. “Alat Pengacau Sinyal Wi-Fi Dengan NodeMCU (Board v.3 Lolin) ESP8266 Deauther Berbasis Microcontroller.” 8(July):231–37. doi: https://doi.org/10.5281/zenodo.6791842.

Lubis, Zulkarnain, Lungguk Adi Saputra, Haikal Nando Winata, Selly Annisa, Abdullah Muhazzir, and Mery Sri Wahyuni. 2019. “KONTROL MESIN AIR OTOMATIS BERBASIS ARDUINO DENGAN SMARTPHONE.” 14(3):155–59.

Prasetyananda, Putu Wiweka, Sunny Arief Sudiro, and Bheta Agus Wardijono. 2022. “Concurrently Wireless Sensor Network Using Microcontroller for Home Monitoring against Fire.” Jurnal Infotel 14(4):307–13. doi: 10.20895/infotel.v14i4.836.

Sarmidi, and Rian Akhmad Fauzi. 2019. “PENDETEKSI KEBOCORAN GAS MENGGUNAKAN SENSOR MQ-2.” 03(01).

Sudarman, Asa Arya, Linawati Linawati, and Ni Made Ary Esta Dewi Wirastuti. 2018. “Sistem Deteksi Kawasan Bebas Rokok Dengan Menggunakan Sensor MQ-7 Berbasis Raspberry PI.” Majalah Ilmiah Teknologi Elektro 17(2):287. doi: 10.24843/mite.2018.v17i02.p18.

Saragih, S., & Nopriadi. (2019). Pengaruh Budaya Terhadap Actual Use Digital Payment System Pada Pelaku UMKM di Kota Batam. Journal of Applied Informatics and Computing (JAIC), 3(2), 63. https://core.ac.uk/download/pdf/268174865.pdf

Wahyuni, Elvira Sukma, and Muhammad Hendri. 2019. “Smoke and Fire Detection Base on Convolutional Neural Network.” ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 7(3):455. doi: 10.26760/elkomika.v7i3.455.

Ardiansyah, Fendi, and Pressa P.S.S. 2018. “SISTEM MONITORING DEBU DAN KARBON MONOKSIDA.” 2(3):62–71.

Saragih, S. P. (2019). TECHNOLOGY ACCEPTANCE OF DIGITAL PAYMENT SYSTEM PADA PELAKU UMKM DI KOTA BATAM. Computer Based Information System Journal, 7(2), 82. https://doi.org/10.33884/cbis.v7i2.1402

Ayun, Indanazulfa Qurrota, and Rodhiah Umaroh. 2023. “Polusi Udara Dalam Ruangan Dan Kondisi Kesehatan: Analisis Rumah Tangga Indonesia.” Jurnal Ekonomi Dan Pembangunan Indonesia 23(1):16–26. doi: 10.21002/jepi.2022.02.

Efendi, Yoyon. 2018. “Internet Of Things (Iot) Sistem Pengendalian Lampu Menggunakan Raspberry Pi Berbasis Mobile.” Jurnal Ilmiah Ilmu Komputer 4(2):21–27. doi: 10.35329/jiik.v4i2.41.

Khairullah, Alif, Agung Susilo Yuda Irawan, and Didi Juardi. 2022. “Alat Pengacau Sinyal Wi-Fi Dengan NodeMCU (Board v.3 Lolin) ESP8266 Deauther Berbasis Microcontroller.” 8(July):231–37. doi: https://doi.org/10.5281/zenodo.6791842.

Lubis, Zulkarnain, Lungguk Adi Saputra, Haikal Nando Winata, Selly Annisa, Abdullah Muhazzir, and Mery Sri Wahyuni. 2019. “KONTROL MESIN AIR OTOMATIS BERBASIS ARDUINO DENGAN SMARTPHONE.” 14(3):155–59.

Prasetyananda, Putu Wiweka, Sunny Arief Sudiro, and Bheta Agus Wardijono. 2022. “Concurrently Wireless Sensor Network Using Microcontroller for Home Monitoring against Fire.” Jurnal Infotel 14(4):307–13. doi: 10.20895/infotel.v14i4.836.

Sarmidi, and Rian Akhmad Fauzi. 2019. “PENDETEKSI KEBOCORAN GAS MENGGUNAKAN SENSOR MQ-2.” 03(01).

Sudarman, Asa Arya, Linawati Linawati, and Ni Made Ary Esta Dewi Wirastuti. 2018. “Sistem Deteksi Kawasan Bebas Rokok Dengan Menggunakan Sensor MQ-7 Berbasis Raspberry PI.” Majalah Ilmiah Teknologi Elektro 17(2):287. doi: 10.24843/mite.2018.v17i02.p18.

Saragih, S. P. (2018, September 30). IMPLEMENTASI SMART EDUCATION SEBAGAI BAGIAN DARI PENERAPAN SMART CITY DI KOTA BATAM. Https://Forum.upbatam.ac.id/Index.php/Cbis/Article/View/707; CBIS. https://forum.upbatam.ac.id/index.php/cbis/article/view/707

Wahyuni, Elvira Sukma, and Muhammad Hendri. 2019. “Smoke and Fire Detection Base on Convolutional Neural Network.” ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 7(3):455. doi: 10.26760/elkomika.v7i3.455.

##submission.downloads##

Diterbitkan

2024-12-20

Cara Mengutip

Nanang Setiyawan, & Andi Maslan. (2024). IMPLEMENTASI SISTEM MONITORING ASAP ROKOK MENGGUNAKAN SMARTPHONE BERBASIS IOT. Computer Science and Industrial Engineering, 10(4), 139–150. https://doi.org/10.33884/comasiejournal.v10i4.8609

Terbitan

Bagian

Articles