This paper aims to present a basic experimental microcontroller board for use in teaching the microcontroller and programming. Researchers have designed a microcontroller experiment board is cheap easy to carry easy to use. To enable the students to learn programming quickly without having to worry about the hardware. Banana Board supports the basic knowledge necessary to practice the programming of up to 22 topics. It can learn programming from basic to applied work. The connection can be done through a personal computer or connect the board to communicate

This study Aims to research and develop identity verification using freeware. For optimization of workflow systems authentication systems. This research is a research and software development. To be applied to the management system to verify identity. The development process of the study process the performance of the verification system . To software development It is a tool used for development . Program for the development of the Linux operating system . The results of research Such programs can be used to produce real target audience is the personnel of the agency. This research has made evaluating its use for system identification using freeware. Users have found that satisfaction with the program was good .

Currently the pineapple leaf paper that is produced by using local wisdom is 50 centimeters wide and 64 centimeters long. Therefore the product of the Cooperative is small. And because the size of the paper is limited they cannot be used for producing room divider big umbrella or big painting as per customer’s demand and the members of the cooperative cannot produce large sheet of paper. The researchers therefore designed the Pineapple fibrous leaf sieving Equipment in order to produce large sheet of paper. The equipment consists of a square basin for washing leaf fiber sized 185 centimeters 10 centimeter deep with a 90-centimeter high stand to support the basin and installed the mechanism to lift up the sieve that is used to take up the pineapple leaf fiber. The sieve is 150 centimeters x 150 centimeters which is the largest size possible because the leaf fiber washing must is done by hand. If the sieve is bigger we will not be able to reach to the leaf fiber in the center. Base on the experiment of pineapple leaf paper production by using the new equipment as compared to the paper production as per local wisdom by using 2.5 kilograms pineapple leaf fiber and the paper thickness shall be fixed at 0.35 millimeters it is found that the production that use pineapple fibrous leaf sieving equipment takes 647 second on average and the production as per local wisdom takes 1421 second on average. In other words the equipment can help to reduce the time in paper production of 774 second or 54 %. Apart from that the researcher produced the paper with different thickness by increasing the pineapple leaf fiber by 0.5 kilograms per one sheet of paper so that there are more options to choose in order to match with various products. The amount of leaf fiber used in the production starts from 3 kilograms to 7.5 kilogram per sheet and the thickness of the paper is from 0.36 millimeters and the thickest paper is 1.2 millimeters thick using approximately 7.5 kilograms of leaf fiber. If we use more leaf fiber for paper production the paper will be overweight and it will be sagging.

This research proposes reliability analysis in order to find the probability that a machine will work properly the failure rates of a machine and the factors related to the failure rates. The data were collected from 8 types of machines in an autoparts manufacturing factory. They consist of the times measured from the first day of the study until the machine produces defective product workers and production steps. The study duration is 90 days. The results show that the probability that the machine type 4 will work properly more than days is 0.40 machine type 5 more than 68 days is 0.32 machine type 6 more than 72 days is 0.31 machine type 8 more than 85 days is 0.26 machine type 9 more than 109 days is 0.80 machine type 10 at more than 52 days is 0.38 machine type 11 more than 71 days is 0.32 and the probability that the machine type 12 will work properly more than 85 days is 0.26. The failure rate of the machine type 4 at day 51 is 6.61 machine type 5 at day 68 is 1.61 machine type 6 at day 72 is 0.77 machine type 8 at day 85 is 1.26 machine type 9 at day 109 is 1.31 machine type 10 at day 52 is 0.92 machine type 11 at day 71 is 1.24 and the failure rate of the machine type 12 at day 85 is 2.15. The factors influencing on the failure rates are worker group 2 and production step 3 at the significance of 0.05.