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All Journal Indonesian Journal of Electronics and Instrumentation Systems Jurnal Edukasi Elektro Jurnal Ilmu Komputer JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Manajemen Informatika Buletin Ilmiah Sarjana Teknik Elektro International Journal of Advances in Data and Information Systems Journal of Soft Computing Exploration Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Jarlit Adopsi Teknologi dan Sistem Informasi
Faisal Fajri Rahani
Universitas Ahmad Dahlan
Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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Journal : Journal of Soft Computing Exploration

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Air quality monitoring using multi node slave IoT Rahani, Faisal Fajri; Fathurrahman, Haris Imam Karim
Journal of Soft Computing Exploration Vol. 5 No. 1 (2024): March 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i1.292

Abstract

Jakarta is the city with the second poorest air quality in the world. IQAir data show that Jakarta's air quality is 159. In addition, the concentration of air particles in Jakarta is 14.2 times higher than the annual guidelines of the World Health Organization (WHO). According to the WHO, exposure to air pollution causes around 7 million premature deaths and millions of years of lost health time each year. Air pollution also stunts children's growth, impairs lung function, etc. Therefore, we need a system that can be used to combine air quality to determine how dangerous a place is with air quality. Knowing air quality, certain policies or actions being taken to overcome this danger. This research aims to build and test a prototype air quality monitoring system using multi-node slaves with the Internet of Things. The prototype development process was carried out by adapting the architectural framework of the air quality monitoring system with the Internet of Things. The testing of prototype results is carried out to sound sensor values and functional success. The results of the test show that the system can run well according to the design made. The DSM501A sensor device functions to detect particles of a size larger than one micrometer, which usually include cigarette smoke, house dust, ticks, spores, pollen, and mildew, and works well so that the controller can read the surrounding air conditions well.
Quadrotor height control system using LQR and recurrent artificial neural networks Rahani, Faisal Fajri; Rosyida, Miftahurrahma
Journal of Soft Computing Exploration Vol. 5 No. 2 (2024): June 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i2.379

Abstract

The quadorotor is a type of unmanned flying vehicle known as Unmanned Aerial Vehicle (UAV). In recent years, quadrotors have attracted much attention from researchers around the world due to their excellent maneuverability. A good control system in this quadrotor system is needed for ease of use of this quadrotor. One control system that is often used is the Linear Quadratic Regulator (LQR) control system. This control system has challenges for dynamic system disturbances in quadrotor control. Researchers proposed a recurrent artificial neural network (RNN) system to address these challenges.RRN is used to change the value of the feedback component in the LQR control system. The nature of the feedback component in LQR, which is static, is changed based on the system error value based on changes in the error value entered into the RNN. The result of this RNN is a change in the value of the LQR feedback component based on the input of the system. The results of this research show that LQR control with RNN produces a faster system response of 0.075 seconds and a faster settling time of 0.221 seconds. Compensation for the system response speed produces a higher overshot value.
Co-Authors Arsianto, Muhammad Alif Rahmat Novian Ayunita Agustin Baswara, Ahmad Raditya Cahya Cahyani Hana Bestari Cahyani Hana Bestari Fathurrahman, Haris Imam Karim Fitri Indra Indikawati Miftahurrahma Rosyda Muhammad Iqbal Hadiwibowo Nugraha, Abiema Febrian Oktaf Agni Dhewa Phisca Aditya Rosyady Putri, Arisda Dwi Rosyady, Phisca Aditya Rosyida, Miftahurrahma Tri Kuntoro Priyambodo Yulianto, Dinan