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All Journal KURVATEK Jurnal Engine: Energi, Manufaktur, dan Material Journal of Biomedical Science and Bioengineering Proceeding International Conference on Digital Education and Social Science
Aan Burhanuddin
Universitas PGRI Semarang
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Desain Model Fuzzy Control UAV Berbasis Matlab/Simulink pada Arduino Flight Controller Muchamad Malik; Aan Burhanuddin
Jurnal Engine: Energi, Manufaktur, dan Material Vol 2, No 2 (2018)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (217.033 KB) | DOI: 10.30588/jeemm.v2i2.420

Abstract

Quadrocopter is an aerial vehicle platform that has become very popular among researchers from the past because it has advantages compared to conventional helicopters. The quadrocopter design is very simple and unique but seen from an unstable aerodynamic standpoint. From existing research, researchers have proposed many control system designs for quadrocopter. In this study, the author presents a fuzzy logic controller for quadrocopter. The method in this research is by designing hardware. After that the design for fuzzy controllers. Then the designed fuzzy controller is tested in the Hardware In Loop (HIL) setting. The experimental results and validation of the controller application functions are considered satisfactory and it is concluded that it is possible to stabilize quadrocopter with fuzzy logic controller.
PROTOTYPE OF MASK RECOGNITION AND BODY TEMPERATURE IN REAL TIME WITH AMG8833 THERMAL CAM SENSOR FOR COVID-19 EARLY WARNING BASED ON MINICOMPUTER Muchamad Malik; Aan Burhanuddin; Yuris Setyoadi
KURVATEK Vol 7 No 2 (2022): Energy Management and Sustainable Environment
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/krvtk.v7i2.3585

Abstract

On April 19, 2020, the Republican Covid Task Force declared that the Covid-19 pandemic was a national disaster in Indonesia. At that time it was confirmed that there were 6575 cases and an increase of 5.23% compared to the previous day, then there were 5307 people in treatment which increased by 5.55% compared to the previous day, it was reported that 582 people died, which increased by 8.79 % compared to the previous day, and 686 recovered patients. WHO reports that the case fatality rate (CFR) or the death rate of Covid-19 cases in Indonesia reached 8.3%, which is twice the world's CFR. In this study, the main focus is to detect masks and body temperature used by visitors with various variations of masks on the market today, and next is to control the servo motor according to the detection conditions whether using a mask in real-time. Based on research on the system that has been tested, it shows that the components used to generate heat are very effectively used and can work as expected, and the MobilenetV2 method applied to the Raspberry Pi as the brain of the system can work as expected and has an accuracy rate of 99%. The AMG8833 sensor can read effectively at a maximum distance of 30 cm, the temperature reading deviation level is 0.1⁰C.
Prototype Of Mask Recognition And Body Temperature In Real Time With Amg8833 Thermal Cam Sensor For Covid-19 Early Warning Based On Minicomputer Aan Burhanuddin; Muchamad Malik; Yuris SetyoadI
Journal of Biomedical Science and Bioengineering Vol 2, No 2 (2022)
Publisher : Center for Biomechanics, Biomaterials, Biomechantronics and Biosignal Processing (CBOIM3S)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jbiomes.2022.v2i2.43-49

Abstract

On April 19, 2020, the Republican Covid Task Force declared that the Covid-19 pandemic was a national disaster in Indonesia. At that time it was confirmed that there were 6575 cases and an increase of 5.23% compared to the previous day, then there were 5307 people in treatment which increased by 5.55% compared to the previous day, it was reported that 582 people died, which increased by 8.79 % compared to the previous day, and 686 recovered patients. WHO reports that the case fatality rate (CFR) or the death rate of Covid-19 cases in Indonesia reached 8.3%, which is twice the world's CFR. In this study, the main focus is to detect masks and body temperature used by visitors with various variations of masks on the market today, and next is to control the servo motor according to the detection conditions whether using a mask in real-time. Based on research on the system that has been tested, it shows that the components used to generate heat are very effectively used and can work as expected, and the MobilenetV2 method applied to the Raspberry Pi as the brain of the system can work as expected and has an accuracy rate of 99%. The AMG8833 sensor can read effectively at a maximum distance of 30 cm, the temperature reading deviation level is 0.1⁰C.
THE EFFECTIVENESS OF THE USE OF FLOATING EXCAVATORS IN INCREASING STUDENTS KNOWLEDGE OF TIDAL FLOODING FOR FARMERS IN THE COASTAL AREAS OF JAVA Qristin Violinda; Aan Burhanuddin; Achmad Buchori; Sumarno Sumarno; Nur Cholifah
Proceeding International Conference on Digital Education and Social Science Vol. 1 No. 1 (2022): Proceeding International Conference on Digital Education and Social Science 202
Publisher : Asosiasi Pengelola Publikasi Ilmiah (APPI) PT PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55506/icdess.v1i1.34

Abstract

Indonesia is a country with a very high level of vulnerability to disasters. Disasters that have often occurred in Indonesia have caused significant loss of life and material. Students as agents of change need to have good knowledge of disaster preparedness in order to provide positive changes to the community regarding disaster preparedness. The purpose of this study was to analyze the level of knowledge of PGRI Semarang University students regarding disaster preparedness through the effective use of floating excavators. The method used in this research is descriptive analytic. The sample in this study were PGRI University students who met the inclusion criteria set by the researcher. Sampling using purposive sampling technique. Data analysis was carried out using univariate analysis which was carried out on the characteristics of the respondents, namely age and gender and categorical variables, namely knowledge using percentage and proportion sizes. The results showed that as many as 207 (65.1%) respondents had an increased and good level of knowledge regarding disaster preparedness through the effective use of floating excavators. The conclusions obtained from the results of this study are that the students of PGRI Semarang University already have a good level of knowledge which may be caused by disaster preparedness training through the effective use of floating excavators. Therefore, the floating excavator is one of the tools that can be used in disaster management that students can learn.
Co-Authors Achmad Buchori Androva, Althesa M. Ari Bowo Muchamad Malik Nur Cholifah Qristin violinda Sumarno Sumarno Yuris Setyoadi