Implementasi Metode Fuzzy Logic Untuk Sistem Pengukuran Kualitas Udara Di Kota Medan Berbasis Internet of Things (Iot)

Abstract

Kualitas udara mengambil peran penting bagi kehidupan mahkluk hidup di permukaan bumi ini terutama untuk manusia, pada masa ini penurunan kualitas udara di beberapa kota di wilayah Indonesia terus meningkatkan diakibatkan beberapa hal diantaranya pertumbuhan industri dan perkembangan kendaraan bermotor yang semakin pesat sebanding dengan pertumbungan penduduk yang makin meningkat dan tidak sebanding dengan pertumbungan ruang terbuka hijau dan pelestarian kawasan hijau khususnya pada wilayah perkotaan. Sistem pemrosesan dari hasil akuisisi yang didapatkan dari penggunaan beberapa kombinasi sensor (multisensor) yaitu sensor yang dapat mendeteksi gas buang kendaraan bermotor, partikel debu, asap dari hasil industri, dan kadar oksigen dalam udara. Hasil dari proses akuisisi data sensor kemudian akan diproses dengan kecerdasan buatan fuzzy yang ditanamkan pada sebuah chip mikrokontroler. Sistem pengukur kualitas udara berbasis Internet of Things (IoT) ini akan dapat digunakan sebagai media penyebar luasan informasi terkait kualitas udara pada suatu wilayah, sehingga akan memberikan penurunan dampak kesehatan bagi masyarakat yang akan melakukan aktivitas diluar rumah.

Real Time System Monitoring and Analysis-Based Internet of Things (IoT) Technology in Measuring Outdoor Air Quality

“…The website also automatically shows the air quality level based on the system calculation and on the classification in Section 4, whether the quality is "Good", "Moderate", "Unhealthy", "Very Unhealthy", or "Dangerous". Compared to the previous works [11][12][13][14][15], we believe our proposed system is more complete because we can combine the DHT11 sensor and MQ135 sensor so that the air quality level can be calculated more accurately. The addition of temperature and humidity, which is measured by DHT11, is necessary to calculate the overall air quality to be more accurate because temperature and humidity condition can be dangerous for human life after reaching a certain level.…”

“…Related Works As a research reference, five previous studies that have been conducted are considered as previous works. In [11], researchers created a system that can measure air quality by combining the IoT concept and the fuzzy intelligence method in their research using Arduino Uno. The results of this study are more accurate than conventional measurements, but, in this study, the speed of the internet greatly affects the web-based server in making changes to the latest information (updates), so it requires an internet service that has optimal speed, as well as sufficient device server support.…”

“…Several studies have been deployed to monitor the quality of air [11,13,14], water [12], and soil [15] using an IoT-based monitoring system. Several sensors are used to monitor the quality of air, water, or soil such as DHT11, MQ135, and MiCS-2610.…”

Decision Support System for Service Quality Using SMART and Fuzzy ServQual Methods

“…Fuzzy servqual is a fuzzy set theory that is used as a means of presenting uncertainty and is a tool for modeling uncertainty related to disguises, uncertainties, and deficiencies regarding information related to certain elements and the problems faced. The steps for the Fuzzy Service Quality method [6]:…”

“…Some of the methods that are widely used in decision support systems are Analytical Analysis Process (AHP) [2], Simple Additive Weighting (SAW) [3], Technique For Others Reference by Similarity to Ideal Solution (TOPSIS) [4] and Simple Multi-Attribute Rating Technique Method (SMART Method) [5]. Also, it can apply fuzzy methods including Fuzzy Logic [6], Fuzzy Tsukamoto [7], Fuzzy Mamdani [8], Fuzzy Associative Memory (FAM) [9], and Fuzzy Service Quality [10][15].…”