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All Journal CCIT (Creative Communication and Innovative Technology) Journal
Andri Ahmad Gozali
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Computer Science & IT

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SISTEM KOREKSI POSTUR DUDUK DENGAN BETASPC BERBASIS ARDUINO DUEMILANOVE Mukti Budiarto; Andri Ahmad Gozali; Hidayaturrohman Hidayaturrohman
CCIT Journal Vol 9 No 3 (2016): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (708.985 KB) | DOI: 10.33050/ccit.v9i3.461

Abstract

BetaSPC is a technology that uses a microcontroller (Arduino Duemillanove) as processors and sensors (infrared) which is based on the amount of light reflected on a clothes stretched (when the bent body position). With the technology used in BetaSPC allows one to determine the proper posture when sitting at a computer or laptop and improve posture during sitting. When someone is in front of the laptop or computer by sitting in an upright posture, the posture shoulder (shoulder) on the back will change clothes behind, just below the shoulder blade position becomes meragang. If someone sitting at a computer or laptop to a sitting position in a bent posture then clothes (clothes) behind, just below the shoulder blade will be stretched (tight). Then, stretch clothes that will activate the buzzer (sound and vibrate) to provide feedback to the user about the current posture stretch shirt (hunchback) so as to commemorate and improve the position of his body correctly (perpendicular) when using a computer or laptop.
WIRELESS SURVEILLANCE CAMERA WITH AMC (AUTOMATIC MOTION CAPTURES) SYSTEM Ageng Setiani Rafika; Asep Saefullah; Andri Ahmad Gozali
CCIT Journal Vol 9 No 2 (2016): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.94 KB) | DOI: 10.33050/ccit.v9i2.499

Abstract

Nowadays, utilizing surviellence cameras was very popular because is user friendly and it has many usefull as a monitoring and as a part of security system at home, institution, office, etc. The existing surviellence camera using computer as a control system and as a media storage so it’s need a energy and high cost for implementation. Surveillance cameras are designed using the Raspberry Pi B, PIR sensor, webcam Logitech C 170, SD Card, Twitter, Raspbian operating system, and python programming. Automatic input data is performed by PIR sensor that will be detected human around of range area frequently. Output 3.3 - 5 volt (High) will be generated when sensor detected the human around of range area. Otherwise 0 volts output ( Low) will be generated when sensor not detected the human around of range area frequently. Then, The input will be processing by Raspberry Pi using python programming that has made to a command to capture or not.implemetation outcome is a surveillance camera that will capture image in (.jpg) format when the input system detected human around of range frequently. Capture result will save to SD Card that have integrated system. Then the sistem will provide immediately report the situation in a real-time notification through a twitter application device.
Co-Authors Asep Saefullah Hidayaturrohman Hidayaturrohman Mukti Budiarto Rafika, Ageng Setiani