Infrastruktur jaringan Internet of Things (IoT) saat ini mengalami perkembangan danpertumbuhan yang sangat signifikan, seiring dengan semakin banyaknya perangkat pintaryang digunakan dalam kehidupan sehari-hari. Salah satu kendala dalam infrastrukturjaringan IoT adalah banyaknya halangan pada area tertentu di jaringan IoT. Halangantersebut dapat berupa adanya tembok atau dinding ataupun ketiadaan router dalam areatertentu. Berbagai pengembangan algoritma routing dalam menghadapi permasalahantersebut telah banyak dilakukan, akan tetapi belum ada algoritma routing yang dapatmenembus halangan dalam jaringan IoT. Penelitian ini mengembangkan metodePhysarum Routing Algorithm with Adaptive Power Control (PRA-APC) untukmenyelesaikan permasalahan halangan dalam jaringan IoT. Rancangan model PRA-APCakan mengidentifikasi semua informasi dalam jaringan kemudian memberikan powerpada node terakhir sebelum halangan. Algoritma routing PRA-APC akan dibandingkandengan algoritma routing lainnya yaitu Physarum inspired Routing Protocol (P-iRP) danRobust Selection Physarum-inspired Routing Protocol (RS-PRP). Protokol routing PRAAPCmampu menghasilkan jalur routing terpendek (shortest path) 70% lebih baikdibandingkan dengan RS-PRP dan P-iRP. Delay yang dihasilkan lebih kecil, masa hidupjaringan (network lifetime) lebih lama dan nilai throughput yang dihasilkan jauh lebihbaik dibandingkan dengan protokol algoritma routing lainnya. Peningkatan kinerjarouting PRA-APC menghasilkan efisiensi dan keseimbangan sumber daya dalam jaringansehingga dapat memperpanjang masa hidup jaringan IoT yang memiliki keterbatasansumber daya dalam infrastruktur jaringan lokal IoT. Peningkatan kinerja routing PRAAPCdapat memberikan solusi untuk mengatasi permasalahan halangan yang terdapatpada jaringan IoT.

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The Internet of Things (IoT) network infrastructure is currently growing at a significant

rate, as is the number of smart devices being used in everyday life. The existence of

obstacles in the IoT network area is the biggest challenge in the IoT network

infrastructure. This obstacle in the IoT network can be a wall or the absence of a router

in a specific area. Routing development to face problems with obstacles has often been

done; however, there is no routing algorithm that can overcome that obstacle. This

research proposed a Physarum Routing Algorithm with Adaptive Power Control (PRAAPC)

to solve the problem of IoT obstacles in the network. The PRA-APC method

identifies the information for each node and the position of the obstacle in the network,

providing sufficient power to the last node before the obstacle so it can pass through the

obstacle to the final destination node. The PRA-APC routing method will be compared

with other routing algorithms, such as the Physarum-inspired Routing Protocol (P-iRP)

and Robust Selection Physarum-inspired Routing Protocol (RS-PRP). The PRA-APC

routing protocol can develop the shortest routing path, 70% better than P-iRP and RSPRP.

The result of the delay is greater efficiency: network lifetime is longer and

throughput is much better than other routing algorithm protocols. The PRA-APC routing

performance improvement results in efficiency and balance of resources in the network

so that it can extend the life span of IoT networks that have limited resources in the local

IoT network infrastructure. The new development of the PRA-APC routing protocol can

provide solutions to overcome the problem of obstacles in the IoT network