PERANCANGAN SISTEM PENGAMBILAN DAN PENGUNGGAH DATA GAMBAR PADA E-NOSE MEMPERGUNAKAN RASPBERRY PI

Pharmayeni Pharmayeni, Zulhamidi Zulhamidi, Isra Mouludi

Abstract

The more sophisticated of the electronic equipment, so the for us to provide information to the public, in this case to provide any information including information about alcohol content in drinks to the public fast dan directly, we can use the internet and a website which can provide information in the form of text,picture, audio or video. In this research we will use the MQ-3 alcohol sensor, the camera and Raspberry pi which the whole system is a live stream means that no data is edited, any data readable by sensor then the data that is directly uploaded to the webserver. The method in this design is used two Raspberry pi3 which one function as client and the other as server, on client side paired a Raspberry camera (picamera), data acquisition AD / DA, and MQ-3 sensor while on server side there apache, mysql with client-server communication system and using python programming language and socket programing. The results of the design show that the MQ-3 and picamera sensors are running well and data can be sent from client to server.

Keywords

E-nose, Raspberry Pi, Picamera, Phyton Language Program

Full Text:

PDF

References

A. Kevin, 2009. That ‘Internet of Things’ Thing,”RFID J.

Ade Vikri Satria , Wildian. 2013. Rancang bangun alat ukur kadar alkohol pada cairan Menggunakan sensor MQ-3 berbasis Mikrokontroler AT89S51. Jurusan Fisika. Fakultas Matematika dan Ilmu Pengetahuan Alam. Universitas Andalas Padang.

Afniza. 2010. Pembuatan Alat Ukurkadar Alkohol Pada Minuman Menggunakan Sensor Tgs822 Berbasis Mikrokontroler Avr Atmega8535. Departemen Fisika. Fakultas Matematika dan Ilmu Pengetahuan Alam. Universitas Sumatera Utara. Medan

Andi Rahman. 2014. Penggunaan webcam dalam keseharian. Jurusan teknik komputer. Fakultas teknik. Universitas sriwijaya.

Artanto, BR. 2013. Penggunaan Apache dan Mysql.Sekolah Tinggi Ilmu Komputer. Surabaya.

B. Amari, Aziz; Barbri, Noureddine El; Llobet, Eduard; Bari, Nezha El; Correig, Xavier; Bouchikhi, 2006. Monitoring the Freshness of Moroccan Sardines with a Neural-Network Based Electronic Nose,”IEEE Sensors, pp. 1209–1223.

B. Barbri, Noureddine El; Llobet, Eduard; Bari, Nezha El; Correig, Xavier; Bouchikhi, 2008. Electronic Nose Based on Metal Oxide Semiconductor Sensors as an Alternative Technique for the Spoilage Classification of Red Meat,”IEEE Sensors, pp. 142– 156.

Danang Sulistyo Adiprabowo, dkk. 2010. Pendeteksi kadar alkohol jenis etanol Pada cairan dengan menggunakan Mikrokontroler atmega8535. Jurusan Teknik Elektro Fakultas Teknik. Universitas Diponegoro

Ferisco, Tony. 2015. Implementasi dan perbandingan Quality of Service (QOS) Jaringan Multiprotocol Label Switching (MPLS) pada Ipv4 dan Ipv6 addres dengan menggunakan aplikasi streaming server dan FTV server. Teknik Elekro Fakultas Teknik Universitas Andalas. Padang

G. K, 1997. An Introduction to Neural Networks, p. 13. H. S, 1998. Neural Network: A Comprehensive Foundation. p. 12.

Hariyanto Didik. 2013. Analog to Digital Converter. Institut Teknologi Bandung. Bandung.

K. S. Kuncoro C.B.D, Armansyah, Saad N. H. , Jaffar .A, Low Y.C, 2012. Wireless e-Nose Sensor Node: Start of the Art. International Symposium of Robotics and Intelligent Sensors.

M. Pinem, 2010. Analisa Kemurnian Premium Dengan Sensor Gas TGS 2620, Universitas Sumatra Utara.

Mustafa AF, dkk. 2014. Sistem pendeteksi kadar alkohol berbasis Mikrokontroller pada minuman beralkohol dengan Tampilan lcd. Jurusan Fisika. Fakultas Matematika dan Ilmu Pengetahuan Alam. Universitas Pendidikan Indonesia.

Mustapa, Farid Apip. 2013. Skripsi Sistem pendeteksi kadar alkohol berbasis mikrokontroler pada minuman beralkohol dengan tampilan LCD. Jurusan ilmu Fisika. Universitas Pendidikan Indonesia.

Prama, Hari Bugi. 2008. Konfigurasi Local Area Network Pada Cisco Switch Dengan Menggunakan Program Network Visualizer 5.0. Departement Teknik Elektro. Universitas Sumatera Utara. Medan

Q. He, 1999. Neural Network and Its Application in IR, ”University of Illinois.

Rahmadina, Fitria. 2016. Jurnal sistem informasi kepadatan lalu lintas berbasis Raspberry pi pc board. Jurusan Teknik Elektro. Fakultas Teknik. Universitas Andalas Padang.

Triwibowo. 2011. Perkembangan Sumber Listrik DC. Jurusan Teknik Elektro. Fakultas teknik. Universitas Sumatera Utara. Medan.

DOI: http://dx.doi.org/10.52759/sainti.v15i2.176

Refbacks

  • There are currently no refbacks.