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Wahyudi Prasatia
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Kipas Angin Pengikut Manusia Berdasarkan Wajah Wahyudi Prasatia; Kamarudin Kamarudin
JURNAL INTEGRASI Vol 10 No 2 (2018): Jurnal Integrasi - Oktober 2018
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v10i2.906

Abstract

Technological advances make the need for an automated system increases, one of which makes the fan can track the human automatically. In this study to develop a fan system that can track human based on the face and can distinguish the face with other obstacles around it, so that humans do not need to manually set in directing the fan to get the wind from the fan. To detect human faces used cameras from android smartphones that have been integrated with the Haar Cascade detection method available in the OpenCV library. While to do tracking then used PID controller with Zigler Nichols tuning method which integrated with DC motor. Based on the results of experiments the system can track the human face with an average error of 4.14%, while testing on face detection has a 100% success rate in the face of the frontal. While the system can track human based on the face with 95% success. The error is caused by the mechanical system of dc motor gearbox and camera hardware position that is not straight to the face object.
PORTABLE CRIME DETECTION: PENDETEKSI MALING PORTABEL BERBASIS ANDROID Kamarudin Kamarudin; Wahyudi Prasatia; Ahmad Dzaky Zain; Indah Ayu Agustina
JURNAL INTEGRASI Vol 12 No 1 (2020): Jurnal Integrasi - April 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.251 KB) | DOI: 10.30871/ji.v12i1.1189

Abstract

Crime has increased from year to year in Indonesia with a variety of types of crimes caused by various problems such as economic, social, conflict and low legal awareness. Of the most prominent crimes in daily life are theft cases, both motor vehicle theft and theft of violence that make people feel afraid and uncomfortable in their activities. To reduce the sense of public discomfort in dealing with these cases. Portable Crime’s Detection is a portable device product that can detect thieves with an Android based. This product has two sides, namely portable devices that will be placed on objects and mobile / smartphone applications. This portable device is supported by GPS technology, technology that can track the location or existence of an object. This product is equipped with a vibration / vibration detection system so that users can be aware of interference from objects on portable devices. The internet has an important role in this product to report every activity that occurs on a portable device when needed. The device will send notifications or notifications to the user's smartphone application so users can track.
Co-Authors Ahmad Dzaky Zain Indah Ayu Agustina Kamarudin Kamarudin