Vehicular Ad Hoc Network Mobility Model

Indonesia is one of developing countries with high land traffic density. This traffic density could cause traffic jam, traffic accidents and other disturbances. This research had developed a simulator that could calculate the traffic density of roads in urban areas. With the use of this simulator, the researcher could calculate the time needed if the source node transports the message to the destination node by using the ad hoc network communication facility. In this research, every vehicle utilizes multi-hop communication in a communication network. The vehicle sends the message through flooding message and passes on the received message to other vehicles. Based on the simulation done on map size 10 km x 10 km with a total of 20 vehicles on the road, it was calculated that the simulator could transmit the message to its destination on the 106th second from node 3 and with the total of 200 vehicles on the road, the simulator could transmit the message to its destination on the 22nd second from node 5.

Laporan akhir penelitian

Laporan akhir penelitia

SK mengajar D3 ekonomi sem ganjil 2018-2019

SK mengaja

Smart Home: Controlling and Monitoring Households Appliances using GSM Network

This study discussed about using the smart home automation systems for household appliances such as lights and fans, by utilizing the GSM network as a communication medium to control and monitor the household appliances. In this study, the simulations were performed by the two following modes 1). Self-automated and 2). Manually-automated. In controlling the lamp, the light intensity that values less than 280 lux will give response of turned ON the lamp, while if the value of light intensity is more than 280 lux, it will give a response of turned OFF the lamp. To control the fan, a room temperature value of more than or equal to 30 ° C will turn ON the fan, while the room temperature value which is less than 30 ° C will turn OFF the fan. Simulations were performed by placing the devices in the room and operating it for three days. The test and simulation results were recorded in the form of log files or history files. The self-automated operations mode controlled the system using a sensor (Light Dependent Resistor and LM35 Sensor) unit to detect the environmental condition and take actions according to detected environmental condition. In the manually-automated operation mode, user could control the household appliances according to the user’s intention. The light intensity values obtained in the morning were equal to 280 lux, so it will turn off the lights. The room temperature obtained was in the range of 28oC - 33oC; the fan will turn on if the temperature value is equal to or more than 30oC

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Sk sbg reviewer jurnal nasional infotel 2018

sk sbg reviewer jurnal nasional infote

PERFORMA 2.4 GHz WIRELESS ANTENNA UNTUK APLIKASI WIDE-AREA WIRELESS SENSOR NETWORK

Penelitian ini membahas tentang performa dari 2.4 GHz Zigbee wireless antenna untuk aplikasi wide-area wireless sensor network. Transmitter antenna di install pada drone sebagai media mobile wireless sensor network dan receiver antenna berada di lokasi tertentu pada lingkungan luar ruangan. Setingan alat untuk transmitter antenna dan receiver antenna yaitu non-ARQ mode sehingga data yang di terima oleh receiver dalam experiment ini nanti bisa menjadi perbandingan dengan hasil perhitungan teoritis menggunakan Matlab. Dalam experimen ini dilakukan model point-to-point communication. Dari hasil experimen diperoleh Pada jarak 0m-100m nilai dari PER untuk masing-masing ketinggian drone meningkat mencapai 17-18%. Lebih lanjut pada jarak 100m-150m nilai PER mengalami sedikit penurunan yaitu 15-16% untuk tiga ketinggian drone yang berbeda. Mulai dari jarak 150m-250m nilai PER mengalami kenaikan yang siginifikan, hingga mencapai PER 70% untuk ketinggian drone 30m, PER 80% untuk ketinggian drone 45m dan PER 88% untuk ketinggian drone 15m. Pada jarak 250m-350m nilai PER terlihat masih konstan untuk ketinggian drone 45m dan ketinggian 30m yaitu mencapai nilai PER 78% pada jarak 350m, sedangkan untuk ketinggian drone 15m menunjukan nilai PER naik hingga mencapai 98% pada jarak 350m. Hasil simulasi dengan Matlab menunjukan RSSI terhadap jarak transmitter antenna dengan receiver antenna untuk ketinggian transmitter antenna 15m dan receiver antenna 1.5m. nilai RSSI terus meningkat -66 dBm pada jarak 20m dan ini adalah nilai RSSI terbaik. Lebih lanjut untuk ketinggian transmitter antenna 30m dan receiver antenna 1.5m. Nilai RSSI terus meningkat -73 dBm pada jarak 45m dan ini adalah nilai RSSI terbaik. Pada jarak 3m nilai RSSI terus meningkat -76 dBm pada jarak 62m dan ini adalah nilai RSSI terbaik