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dc.contributor.advisorPinem, Maksum
dc.contributor.advisorHardi, Surya
dc.contributor.authorPardede, Stephanie Christina Yolanda
dc.date.accessioned2023-10-25T08:26:38Z
dc.date.available2023-10-25T08:26:38Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/88318
dc.description.abstractThis research is the design and manufacture of a multihop LoRa network to transmit river water levels at three internet blank spot locations to IoT Gateways in locations where internet is available so that river water levels can be monitored via the internet where if there is a rise in river water level or flooding it can be detected early. so as to avoid the danger of victims and reduce large losses. To monitor the water level in this study, three sensor nodes were created, namely sensor node A, sensor node B, sensor node C and a gateway that receives data from the LoRa network and sends it to the Cloud Thingsboard via the WiFi network. The sensor node consists of the JSN SRO4T Waterproff sensor to measure the distance between the sensor and the surface of the river water, the MRV-RFM95W LoRa module as the sender and receiver of water level packets from node to node to the gateway, and the ESP 32 microcomputer as the processor and the WiFi module as the gateway wireless communication line with WiFi hotspot. Sensor node A measures the water level And then sends it via the LoRa network to sensor node B. Sensor node B receives packets from sensor node A then measures the water level and sends the measurement results along with the water level from node A to sensor node C. Sensor node C receives the packet from sensor node B then measures the water level and sends the measurement results together with the water level from sensor node A and sensor node B to the Gateway. Next, the gateway sends it to the Cloud Thingsboard via a WiFi network. The time interval for sending the water level at each sensor node uses Fuzzy logic with the Sugeno method with the variable input water level and changes in water level. According to the results of the LoRa range test, the furthest distance is 700m with an RSSI value of -113 dBm and an SNR value of -18.50dB. The RTT(Round-trip time) time value for one hop is 180mS for two hops 866mS and for three hops 1654 mS. By implementing a multi-hop protocol on the LoRa network to transmit the water level from each node to the gateway with a delivery interval of no later than 25 seconds and a maximum of 5 seconds, it can overcome packet duplication, looping and collisions with an average packet loss of 0.375% and an average -the average packet error is 0.5%. From the test results it can be obtained that the designed multi-hop LoRa network can monitor river surface levels via the internet.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectLoRa multihop networken_US
dc.subjectriver level sensoren_US
dc.subjectsensor nodesen_US
dc.subjectand IoT Gatewayen_US
dc.subjectSDGsen_US
dc.titleProtokol Jaringan Multihop Rendah Energi untuk Monitoring Level Air Sungai Berbasis Internet of Thingsen_US
dc.typeThesisen_US
dc.identifier.nimNIM197034004
dc.identifier.nidnNIDN0004106802
dc.identifier.nidnNIDN0007065905
dc.identifier.kodeprodiKODEPRODI20101#Teknik Elektro
dc.description.pages112 Halamanen_US
dc.description.typeTesis Magisteren_US


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