Completely Randomized Block Design is one type of design experiments in Statistics which is used to conduct experiment involving treatments and blocks. Blocking is used to make experimental unit become homogen in each blok. Analysis to the reults of the experiment using the design usually perform using licensed software such as SPSS or Minitab. In order to use those softwares, we have to buy the license. In addition, if use them, we have to arrange the data into column form which require knowledge about orthogonality principle. This research will develop an application to analyze the experimental data easily, because the input in the form of table that suitable with experimental data format. In this research we used Lazarus Visual Programming which is one of open source software. The result of this research is a practical application that can be used to analyze experimental result produced using completely randomized block design which is bery easy to use. Experimental data from table of experimental result can be directly copied into the cells of the program thus data entry can be fastened. This program is an executable file (*.exe) so it is not necessary to be installed and the size of file is small enough which is 19 megabyte.

This study aims to determine the machine maintenance schedule. We use the Simulated Annealing Algorithm. Fitness and reliability functions are functions that are used in the optimization process. Several weighting scenarios are done to see the unity of the function. The results of the scenario produce several alternative schedules. This algorithm is implemented on machines that have more than one sub-machine. This sub-machine is a smaller engine system part. This sub-machine also has one particular function. The results of the study show that the optimal engine maintenance period to use is six periods. There are five scheduling scenarios used in this problem. The resulting schedule can increase the value of reliability and can minimize costs.