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All Journal Journal of Electrical Technology UMY BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks CARADDE: Jurnal Pengabdian Kepada Masyarakat JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Journal of Robotics and Control (JRC) Emerging Information Science and Technology Prosiding Seminar Nasional Program Pengabdian Masyarakat
Anna Nur Nazilah Chamim
Universitas Muhammadiyah Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Library & Information Science Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences

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Journal : Journal of Robotics and Control (JRC)

 1 
Web-Based Flood Hazard Monitoring Anna Nur Nazilah Chamim; Dwi Cahyo Hardyanto; Karisma Trinanda Putra
Journal of Robotics and Control (JRC) Vol 2, No 5 (2021): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.25110

Abstract

Flood is a natural disaster. It occurs in several cities in Indonesia. Floods caused by rivers that overflowed and then flooded residential areas. It comes mostly unexpectedly without early warning. It causes many losses, especially the loss of material, and health threats to surrounding communities. The advance of network technology can reduce the adverse effects of flooding by providing warning alarms and water level monitoring system in real-time that can be accessed via the web. Based on the problem, a monitoring system was designed to monitor water levels via a web that work in real time for 24 hours, and store water level data into the database. The use of this website requires an internet connection, so that internet services must be available.
Vehicle Parking Security System with Face Recognition Detection Based on Eigenface Algorithm Nia Maharani Raharja; Muhammad Arief Fathansyah; Anna Nur Nazilah Chamim
Journal of Robotics and Control (JRC) Vol 3, No 1 (2022): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i1.12681

Abstract

RFID (Radio Frequency Identification) card technology is used for intelligent parking systems. Officers no longer need to record and check manually and repeatedly every vehicle that comes in and out with this system. The system has a weakness, namely if the RFId card is dropped or lost, the person who finds it can use the card. For the purpose of increasing security for users, one of the latest technologies is the use of facial recognition methods. The eigenface algorithm system is an algorithm used for face recognition. The algorithm is used as a training process for the previously inputted employee faces. The results of the training data are stored in a database which is then used as a key to recognize the face of the owner of the motorized vehicle who took the motorcycle. In the trial results of the data application, motorized vehicle owners enter when the facial recognition level is above 70%.
Co-Authors Adi Nugroho Agus Jamal Ahdi Kurniawan Alfian Ma’arif Andi Wahyu Nugroho Dwi Cahyo Hardyanto Erika Loniza Erika Loniza Faruliyan Arya Ferisnanda Iman Permana Iswanto Iswanto Jusman, Yessi Karisma Trinanda Putra Karisma Trinanda Putra Kurnia Chairunnisa Muhammad Arief Fathansyah Muhammad Fahrul Al Farisi Muhammad Iqbal Muhammad Yusuf Rafif Mustar, Muhamad Yusvin Nia Maharani Raharja Nia Maharani Raharja Raja Erwanto Ramadoni Syahputra Ryan Permana Putra SURANTO, SURANTO Teguh Iman Prasetyo Widyasmoro, Widyasmoro Wiyagi, Rama Okta Yudhi Ardiyanto Yudhi Ardiyanto