Perbandingan Kinerja Sensor TGS2610, MQ2, dan MQ6 pada Alat Pendeteksi Kebocoran Tabung Liquified Petroleum Gas (LPG)  Menggunakan ATMega2560

Pratama, Rizal; Muid, Abdul; Sanubary, Iklas

doi:10.26418/pf.v7i1.32080

Cited by 4 publications

(4 citation statements)

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“…Fuzzy logic adalah kecerdasan artifisial yang memiliki kemampuan untuk melakukan suatu pekerjaan sama seperti manusia [13]. Terdapat 3 tahapan yang dilakukan untuk membentuk sistem fuzzy yaitu [14]:…”

Section: Hasil Dan Pembahasanunclassified

Pemantauan Kebocoran Gas Dan Panas Udara Dengan Metode Fuzzy Berbasiskan Iot

Wicaksana,

Hirzan

2024

JTIKP

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The fuel commonly used by people for daily needs is Liquefied Petroleum Gas (LPG). LPG leaks can occur in closed spaces with temperatures above 30℃ because they contain very dangerous propane and butane compounds. If there is no early warning, the gas cylinder can expode and cause a major fire. The proposed model is capable of displaying gas concentrations and air heat (temperature and humidity) and reporting via telegram using the fuzzy mamdani algorithm. The aim of the research is to design a model for monitoring gas leaks and air heat. The sensors used in this system are tehe MQ6 sensor for gas detection, DHT22 for temperature and humidity detection, fire sensor, and nodeMCU as an Internet of Things-based processor using the fuzzy logic method. This system will turn on fan, buzzr and send a warning to telegram automatically when conditions are unsafe and dangerous. The conclusion of the research is that buzzer warning and telegram notifications make it easier for users to identify gas leaks so they can take immediate action

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Section: Hasil Dan Pembahasanunclassified

Pemantauan Kebocoran Gas Dan Panas Udara Dengan Metode Fuzzy Berbasiskan Iot

Wicaksana,

Hirzan

2024

JTIKP

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“…Platform ini menawarkan jasa gratis dan berbayar dengan ketentuan Sensor yang bisa dipakai jika memakai jasa gratis user dibatasi hingga 5 sensor. Ubidots juga memiliki layanan notifikasi SMS dan email jika dengan trigger yang dibuat berdasarkan data sensor yang user tetapkan sebelumnya [3].…”

Section: Ubidotsunclassified

“…Dari tabel 1 dapat dilihat jarak maksimal sensor bisa mendeteksi gas dan asap berjarak 50 cm, jika melewati jarak tersebut sensor tidak bisa mendeteksi, penempatan sensor ini efektif jarak 10cm sampai dengan 20cm. Hal ini sesuai dengan penelitian [2], [3].…”

Section: A Pengujian Deteksi Asap Menggunakan Sensor Mq-2unclassified

Monitoring Polusi Udara Dan Kebakaran Berbasis Android

Nova

Kasmar

Azmi

et al. 2021

EJI

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A fire in a building or office is one of the main cases that is currently being serious attention for businessmen and government agencies. Considering there are no activities in an office during nights and holidays, makes the business owners feel uncomfortable leaving the office. To overcome this problem, a sensor is to monitor a situation in the office whether there is a gas leak or a hotspot. It is hope that air pollution and fire monitoring tool can help to prevent fires. The way this tool works uses the Arduino Uno to retrieve data from the gas sensor and flame sensor. The data will be sent to the Ubidots server via NodeMCU ESP8266 as wifi or the internet. The monitoring display can be seen via Android and when there is an emergency, the ubidots server will immediately notify the room owner. The result shows that the effective distance of the sensor is around 10cm to 50 cm and the overall system runs well

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“…Selanjutnya daging durian tersebut dihaluskan. Setelah halus kemudian diambil sedikit sampel untuk diletakkan di titik sampel pengujian pada Refraktometer [14]. Pengambilan sampel dilakukan sebanyak 3 kali perulangan pada 1 buah durian dari 6 durian.…”

Section: Metode Penelitianunclassified

Aplikasi Sensor TGS2620 dan MQ138 untuk Mendeteksi Kematangan Buah Durian Berbasis Raspberry Pi 3B

et al. 2021

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Research has been carried out by application of the TGS 2620 (alcohol level) and MQ 138 (methane level) gas sensors to detect the maturity of durian based on Raspberry Pi 3b. This research was conducted to produce a detection instrument for the level of durian maturity. Durian is inserted into the sample room which contain a gas sensors. The classification method used to determine fruit maturity uses K-Nearest Neighbor (KNN). The KNN test in the durian maturity classification using a gas sensor has accuracy based on maturity level, ripe 93,3%; rare 96.6%; raw 93,3%

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Perbandingan Kinerja Sensor TGS2610, MQ2, dan MQ6 pada Alat Pendeteksi Kebocoran Tabung Liquified Petroleum Gas (LPG) Menggunakan ATMega2560

Cited by 4 publications

References 0 publications

Pemantauan Kebocoran Gas Dan Panas Udara Dengan Metode Fuzzy Berbasiskan Iot

Pemantauan Kebocoran Gas Dan Panas Udara Dengan Metode Fuzzy Berbasiskan Iot

Monitoring Polusi Udara Dan Kebakaran Berbasis Android

Aplikasi Sensor TGS2620 dan MQ138 untuk Mendeteksi Kematangan Buah Durian Berbasis Raspberry Pi 3B

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