Database Management Mailing on UKM Palatika Using Php and Mysql

PALATIKA is the Student Activity Unit in Jakarta Campus STMIK STI & K,which moves in the field of Nature Lovers. During this recordingcorrespondence on SMEs Palatika for making the report is still done manuallythat is by way of note on the paper and then on the move through MicrosoftWord as the final ahead of the accountability report so many letters that are notlisted.Palatika should use a database that has a very important role in the processing ofdata such as data and correspondence. Through Correspondence Databasehandling this by using PHP (Personal Home Page) and MySQL is a goodsolution in solving the problems facing Palatika secretary during the time is tolaunch a secretarial job in preparing reports and correspondence and the receiptof correspondence

Correspondence Database Handling in UKM Palatika Using Php and Mysql

PALATIKA (Nature Lovers Informatics and Computer Jakarta) is a unit of StudentActivities in Campus STMIK Jakarta STI & K, which moves in the field of NatureLovers. During the time the listing on the SME Palatika correspondence for themanufacture of the report is still performed manually, with the way the notes on paperand on the move through Microsoft Word as the approaching end of theaccountability report so many letters that are not listed.Palatika should use a database that has a very important role in the processing of datasuch as correspondence data. Through this Correspondence Database handling usingPHP (Personal Home Page) and MYSQL is a good solution in solving the problemsfaced during this Palatika secretary is that it can launch a secretary working in thepreparation of reports and correspondence in the correspondence received

Analysis Of Banana Plant Disease Characterization Using Thermal Camera With Tressolding Method

Banana is a fruit plant that is widely produced in Indonesia. Unfortunately, this plant is very susceptible to diseases which can reduce the quality and quantity of the crop. This paper proposes disease detection in banana plants using a thermal camera. The detection is carried out using image processing techniques with multilevel thresholding methods. The image is captured using a thermal camera, then the image is preprocessed to suit what is desired. After that, so that the position is the same as the image taken using a digital camera, the image produced by the thermal camera is carried out by an image registration process. The image processing result is compared with the ground truth image obtained from a digital camera to determine the effectiveness of the proposed method. The effectiveness of the proposed method is measured using the parameters Recall, Precision, F-measure, and Accuracy. The effectiveness of the proposed method is quite effective because it produces parameter values above 80%, namely the recall value of 86,59%, the Precision of 99,1%, the F-measure of 92%, and the accuracy of 89,78%