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Implementation of Ultrasonic Sensor as a Radar for Obstacle Detection Ahmad Suaif; Ferizandi Qauzar Gani
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 1 No. 1 (2021): May 2021
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (648.137 KB) | DOI: 10.25077/ajeeet.v1i1.7

Abstract

The Arduino UNO, ultrasonic sensor, servo motor, and Processing as visual software was used to create a low cost ultrasonic radar system that can detect and determine the location of an object, such as obstacles, in a short distance. Objects can be sensed up to 40 cm away from the ultrasonic sensor and the ultrasonic radar's angular rotation can detect objects from 15o to 165o and counterclockwise. The obstacle objects will be displayed in the computer panel by running the visual software. A comparative analysis of the distance error between the radar and the obstacles is used to assess the feasibility of the proposed system. The findings obtained from measurements of the obstacles are tabled to show that the planned design achieved a relatively small error, with 90% as the lowest accuracy.
Implementation of Ultrasonic Sensor as a Radar for Obstacle Detection Ahmad Suaif; Ferizandi Qauzar Gani
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 1 No. 1 (2021): May 2021
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v1i1.7

Abstract

The Arduino UNO, ultrasonic sensor, servo motor, and Processing as visual software was used to create a low cost ultrasonic radar system that can detect and determine the location of an object, such as obstacles, in a short distance. Objects can be sensed up to 40 cm away from the ultrasonic sensor and the ultrasonic radar's angular rotation can detect objects from 15o to 165o and counterclockwise. The obstacle objects will be displayed in the computer panel by running the visual software. A comparative analysis of the distance error between the radar and the obstacles is used to assess the feasibility of the proposed system. The findings obtained from measurements of the obstacles are tabled to show that the planned design achieved a relatively small error, with 90% as the lowest accuracy.
EVALUATION AND OPTIMIZATION OF NATURAL LIGHTING ON THE SECOND FLOOR OF THE LAMPUNG HAPKIDO MARTIAL ARTS ROOM AT BTC (BAGOES TRAINING CENTER) GYM SEPUTIH RAMAN : EVALUASI DAN OPTIMALISASI PENCAHAYAAN ALAMI PADA LANTAI DUA RUANG BELADIRI HAPKIDO LAMPUNG DI BTC (BAGOES TRAINING CENTER) GYM SEPUTIH RAMAN Berlian Chandra Kirana; Tiara Chandra Kirani; Sefrani I G Siregar; Ahmad Suaif; Himawan Wismanadi; Aghus Sifaq
SOSIOEDUKASI Vol 14 No 4 (2025): SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universaitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/sosioedukasi.v14i4.6712

Abstract

The light source that comes from sunlight entering directly into the room, especially in the morning and afternoon, is called natural lighting. SNI 03-2396-2001 states that ideal natural lighting during the day, from 08:00 to 16:00 WIB, should provide evenly distributed light throughout the room without causing glare. The standard illumination for martial arts training rooms ranges from 300 lux (minimum), 350 lux (medium), and 500 lux (maximum). The aim of the research is to evaluate and optimize natural lighting in sports spaces, particularly the Hapkido room on the second floor of the BTC (Bagoes Training Center) Gym in Seputih Raman, Lampung. The quality, orientation of window openings, and the distribution of light entering the building through windows are important factors in utilizing natural lighting. With larger window sizes, there is a need to control the amount of light entering the room. A quantitative method is used in this research. Data is collected through observation, literature review, light intensity measurements in the field, and simulations of current conditions using DIALux Evo. Data analysis uses mathematical formulas. The results show that lighting at BTC (Bagoes Training Center) Gym lacks light intensity and does not meet the standard. As a result, athletes feel less comfortable during training. At BTC Gym, lighting intensity has been adjusted to meet the lighting standards through several changes, such as lowering glass reflectance, altering window sizes, changing the type of window glass, and reducing sun shading. The lighting level has been improved, and the room now meets the SNI 03-2396-2001 standard. The Daylight Factor should be between 2% and 5%, with TUU between 0.5 and 0.8, and TUS between 0.3 and 0.5. A Daylight Factor above 10% can cause glare, uneven light distribution, and excessive heating, which requires design modifications to ensure optimal natural lighting.