The use of technology is very important nowadays. Most of everyday activities are documented and stored in digital form. One of those activity is recording. Activity of an organization is very important, therefore recording of meeting material is one of those important activities. Usually the meeting material is documented by writing them into papers or typing them and stored them into computer. Sometimes, the meeting information is written or typed incorrectly so a speech-to-text application is required to solve this problem. In this study, the solution offered is to implement a web-based automation speed-to-text application which can record the voice of meeting participants then converted them into text automatically, so the results of the recording process of meeting materials are more effective and efficient By using voice recognition feature its called web kit Speech Recognition, this system can be implemented. After successfully implementing this application which is so called Speech Meeting Web kit system, the average value for duration system for Indonesia and English language is 96,63 % and 82,78 %.

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Modification of the original message (plaintext) with the LCG random number generator algorithm and encryption with the affine cipher algorithm to produces a dynamic and safe random message (ciphertext) compared to just the affine cipher algorithm. The plaintext is converted to ASCII code and stored in a data list. The data list that contain the plaintext changes the position of the data where each plaintext column is moved to an odd column and even columns are filled by random numbers generated by LCG. The data list is then changed again by adding value to each column with random numbers generated by the programming language and then it encrypted with the affine cipher algorithm. The total number of ciphertexts can be twice as many as the plaintext. The results obtained are not the same ciphertext character even though the plaintext has the same character. Ciphertext generated in the first run program will be different for the next run program or dynamic encryption. To restore a ciphertext to the plaintext is done based on the affine cipher decryption function and the steps to modify the message that was done before.

Abstrak           Sayur sawi tergolong tanaman sayuran daun dari keluarga Crucifarea yang memiliki nilai ekonomi tinggi dan sudah sangat populer dikalangan masyarakat.Sayur sawi sering di gunakan masyarakat sebagai bahan olahan dalam berbagai jenis masakan.Pada umumnya sayur sawi di tanam di daerah dataran rendah hingga dataran tinggi dan panen di lakukan pada umur 30 -60 hari setelah tanam tergantung varietasnya.Sistem pakar merupakan sistem yang  berusaha mengadopsi pengetahuan manusia ke komputer, agar komputer dapat menyelesaikan masalah seperti yang biasa dilakukan oleh para ahli . Metode bayes merupakan salah satu metode yang terdapat pada sistem pakar yang dapat menghitung  nilai-nilai probabilitas setiap gejala.Sistem pakar mendeteksi penyakit tanaman sayur sawi memilki 5 jenis penyakit yang terdapat pada tanaman sayur sawi yaitu Rebah semai,busuk daun, akar gada, bercak daun dan busuk alternaria.             Kata kunci : Sistem Pakar, Metode Bayes.Sayur sawi.   Abstract           Mustard vegetables are classified as leaf vegetables from the Cruciferaefamily which have high economic value and are very popular among the people. Mustard vegetables are often used by people as processed ingredients in various types of cuisine. In general, Vegetable Vegetables are planted in the lowlands to the highlands and harvest is done at the age of 30 - 60 days after planting, depending on the variety. Expert systems are systems that try to adopt human knowledge to computers, so that computers can solve problems as usual by experts. Bayes method is one of the methods found in expert systems that can calculate or process the probability values ​​of each symptom. The expert system detects mustard plant disease has 5 types of diseases found in mustard vegetable plants, namely seedlings, leaf rot, clubroot, leaf spot, alternaria rot.           Keywords: Expert System, Bayes Method, mustard greens.

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