Efficient Solid Waste Management in Prai Industrial Area through GIS using Dijkstra and Travelling Salesman Problem Algorithms

The fourth industrial revolution (IR 4.0) supports new solid waste management and effective routing system for collection transport of wastes, especially in achieving Penang 2030 vision to become a pollution free smart city. This study will enhance Seberang Perai Municipal Council (MBSP) Prai area by implementing Dijkstra Travelling Salesman Problem (TSP) algorithms using Geographic Information System version 10.1. route optimization involved 24 companies Phase I, II, IV area. authority is currently only one transfer the waste-to-waste station. algorithm can optimize alternative 1 distance 19.74% whereby 2 ended up with extra 3.73% compared existing single used MBSP. forward involves direction cleaning depot (source) as starting point station (destination) ending point. TSP having advantage return route. evaluated through gave shorter 6.61% Alternative potential save fuel cost 19.75%. Existing carries 9.2% per year transportation carbon emission level. assessed reported lower level at 7.4% 8.6% year, respectively. Findings this help improving MBSP’s realize vision.