Tungro is one of the important disease in rice which is an obstacle in increasing rice production in Langkat. The detection of diseases caused by this virus has many barrier since there are many virus also have similar symptoms in rice plants, therefore it requires a more accurate technique like PCR. The PCR detects directly the virus itself or its type. Rice leaf samples were taken by Random purposive sampling as many as 16 samples with symptoms of viral diseases from 16 villages in Langkat Regency. The genomic DNA was isolated from the samples and analyzed the virus using specific primers. The indications of infected rice leaf showed dwarf plants, yellowing leaves, few plant saplings, dark spots, rust spots, and midrib and short leaf blades in all samples at 16 villages at Langkat Regency. The similarity analysis of the 16 samples based on symptoms analyzed by the Unwight Pair Group Method with Arithmetic Average (UPGMA) is displayed in the form of a dendogram. All collections of symptomatic rice leaves from 16 villages were clustered at 79% similarity based on symptoms of viral disease. The results of the PCR were successfully amplified and positively infected with Rice Tungro Bacilliform Virus (RTBV) indicated by the presence of a 430 bp band fragment after being analyzed by PCR (Polymerase Chain Reaction) technique.