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dc.contributor.authorNovianta, M. Andang
dc.contributor.authorAchmad, MS. Hendriyawan
dc.contributor.authorSetyaningsih, Emy
dc.date.accessioned2014-12-03T01:07:55Z
dc.date.available2014-12-03T01:07:55Z
dc.date.issued2014-12-04
dc.identifier.citation[1] P. P. Nugroho, "Pengembangan Model Single Sign-On untuk layanan Internet dan Proxy IPB," S1, Ilmu Komputer Institut Pertanian Bogor, 2012. [2] Ahsan, "Membangun SSO Server Untuk Implementasi Single Sign ON," ed, 2011. [3] S. Xiong, "Web Single Sign-On System For WRL Company," 2005, p. 79. [4] K. Aaslund, "Central Authentication Service (CAS)," 2007. [5] A. Pavlenko and I. Chicago. (2013, 28 MAret 2014). concept of CAS authentication - Penelusuran Google. Available: http://www.nobigo.com/central-authentication-servicesexplained/ casdiagram_large/#.UzTsYfmSy8Q [6] O. Priawadi. (2012). Definisi atau pengertian dari Spamming, Hacking, Malcious Software (Malware), Snooping, Sniffing, Spoofing, Pharming, Defacing, Phising dan Jamming. Available: http://priawadi.blogspot.com/2012/05/pengertian-spamming-snoopingspoofing. html [7] H. Yinghui and L. Guanyu, "A Semantic Analysis for Internet of Things," in Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on, 2010, pp. 336-339. [8] W. E.Lewis, Software Testing and Continuous Quality Improvement: Auerbach Publication, 2005.en_US
dc.identifier.issn2407-4330
dc.identifier.urihttp://hdl.handle.net/11617/4965
dc.description.abstractIndonesia is one of country in the Ring of Fire area. Earthquakes becoming one of the greatest dangers that threaten people's lives. So it takes the instrument that can record natural anomaly data before the earthquake to be learned. Several previous studies have successfully done, but it requires a high cost. In this work, a natural anomaly before an earthquake is detected by the method of seismic waves and magnetic measurements using a 6-DoF MEMS (micro electromechanical systems) sensors. Seismic wave measured with an accelerometer sensor, and geomagnetic-ULF waves measured by the magnetometer sensor. Measurement data is transmitted using a wireless sensor network based on IEEE 802.15.4 ZigBee protocol, which is controlled by an 8-bit microcontroller device. All data were collected on a PC master observations in the form of a graph using the graphical user interface (GUI). The visual appearance of the seismic and magnetic signal help researcher to study the natural characteristics that could relate to the incidence of subsequent earthquakes.en_US
dc.publisherUniversitas Muhammadiyah Surakartaen_US
dc.subjectEarthquakeen_US
dc.subjectSeismicen_US
dc.subjectULF-geomagneticen_US
dc.subjectwireless sensor networken_US
dc.subjectZigBee IEEE 802.15.4en_US
dc.subjectgraphical user interface(GUI)en_US
dc.titleWireless Earthquakes Feature Monitoring Based on Acceleration and Magnetic Measurements Using MEMS Sensoren_US
dc.typeArticleen_US


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