The research objective was to carry out a study to compare the performance of open delta transformer and delta transformer on load. The research method used was an experimental method in the laboratory, which included testing on the three-phase transformer of open delta and delta connection on load. The measurement showed that there was a comparison of performance (output) between the average current with loses and efficiency in the open delta transformer connection which had smaller value compared to the delta transformer connection. It was due to the load power capacity supplied in the open delta transformer which was smaller than the delta transformer, with a ratio of V = 0.577 and Δ = 1, the actual power capacity needed or used was 2100 VA.

Maximum distance separable erasure coding has been introduced in wireless networks based on random medium access protocols in order to recover collided and erased packets. So, this help to avoid retransmission process which weaken the network throughput and prolong the overall propagation delay. However, erasure coding may degrade the network performances by causing overload traffic due to added redundancy (parity) and also when extending the propagation delay due to additional calculations and encoding/decoding process time which can lead quickly the network into saturation. Here, the redundancy should be applied properly. In addition, multiple access make conflicting situations due to simultaneous access and selfish behaviour of users which affect too the network performances. For this purpose, we present a game model based on the use of game theory to analyse and manage multiple users that assuming random access protocol and erasure coding algorithm. Our model is used to operate the network at equilibrium by selecting a suitable type of erasure coding. Making the network work at equilibrium, leads to decrease collisions, decrease also the overall transmission delay and as well as increasing the throughput.

Efficiency and effectiveness are two things needed to save time and energy. One example is the optimization of route selection for courier services in delivering goods. The calculation of the best route order selection plays an important role, so the courier can deliver the goods to the customer with optimal time. The more dense and complicated the sequence of travel routes traveled, the time spent becomes less optimal. This study aims to examine the application of genetic algorithms to solve problems in optimizing the route selection, by considering the estimated time. A genetic algorithm is a search method that is inspired by the process of completing natural and genetic selection. Combine the solutions to produce new solutions, using several combinations of crossover and mutation probabilities, as well as population size and generation size. In this research get resulted in an optimization of travel routes for couriers in Tangerang using Genetic Algorithms on 5th chromosome, with an objective function value of 1023.115773 and fitness function 0.000976452 from 50 generations was formed. This value is obtained from a solution that allows the courier to deliver the goods at the optimal time.