This study was conducted to determine the feasibility of using three plastid DNA regions (matK, trnH-psbA, and rbcL) as DNA barcodes to identify the medicinal plant Clinacanthus nutans. In this study, C. nutans was collected at several different locations. Total genomic DNA was extracted, amplified by polymerase chain reaction (PCR), and sequenced using matK, trnH-psbA, and rbcL, primers. DNA sequences generated from PCR were submitted to the National Center for Biotechnology Information's (NCBI) GenBank. Identification of C. nutans was carried out using NCBI's Basic Local Alignment Search Tool (BLAST). The rbcL and trnH-psbA regions successfully identified C. nutans with sequencing rates of 100% through BLAST identification. Molecular Evolutionary Genetics Analysis (MEGA) 6.0 was used to analyze interspecific and intraspecific divergence of plastid DNA sequences. rbcL and matK exhibited the lowest average interspecific distance (0.0487 and 0.0963, respectively), whereas trnH-psbA exhibited the highest average interspecific distance (0.2029). The R package Spider revealed that trnH-psbA correctly identified Barcode of Life Data System (BOLD) 96%, best close match 79%, and near neighbor 100% of the species, compared to matK (BOLD 72%; best close match 64%; near neighbor 78%) and rbcL (BOLD 77%; best close match 62%; near neighbor 88%). These results indicate that trnH-psbA is very effective at identifying C. nutans, as it performed well in discriminating species in Acanthaceae.