Skripsi

SISTEM DETEKSI CERDAS KEBAKARAN DI KIOS MAKANAN MENGGUNAKAN SMOKE DETECTOR DAN GAS DETECTOR BERBASIS INTERNET OF THINGS MENERAPKAN METODE LOGIKA FUZZY

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Penilaian

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Preventive measures and early detection of LPG gas leaks, commonly used in households and industries, are necessary to prevent LPG gas leaks. This study developed a smart fire detection system in food kiosks based on the Internet of Things (IoT) using smoke and gas sensors as well as fuzzy logic methods. The results show that this system can detect fires using these sensor technologies. Data collected by the detector will be sent to the Blynk IoT platform for processing and analysis. This device can only detect smoke and gas within a maximum range of 35 cm. With fuzzy logic, the system can indicate the level of security.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407002494	T143177	T1431772024	Central Library (References)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1431772024

Publisher

Indralaya : Prodi Teknik Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xiv, 99 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.307

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Teknik Komputer

Specific Detail Info

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Statement of Responsibility

KA

Other version/related

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