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"Counting bacteria colonies uses Total Plate Count (TPC) method which isgenerally done by seeing, counting, naked eyes and time consuming. The aim of research is to make an image processing algorithm that is able to count the total bacteria colonies on the TPC method which is can be applied without any special equipment, and to provide informations about the best configuration in its application. This research was done by making an image processing algorithm based on gray-scale image segmentation, using MATLAB, and testing its accuracy in counting bacteria colonies. The result showed that the optimal threshold value for black background is between 0.67 and 0.79, and the optimal threshold value for white background was between 0.01 and 0.09. This experiment revealed that low value o f disk shape morphological structuring element could give the optimal detection of bacteria colonies. In conclutions, the total numbers of bacteria colonies which was counted by gray-scale image segmentation which one of image processing algorithm method was not statistically different compared to manual counting. Automation is one side o f technology that can help human doing something with easiness and simplicity. Digital image processing is one kind o f automation. Counting bacteria colonies using Total Plate Count (TPC) commonly done by counting bacteria colonies manually, it was very time consuming. The aim of thisresearch is to make an image processing algorithm that able to count total bacteria colonies on the TPC method which can be applied without require special equipment, and to provide information about best configuration in its application. This research was done by making an image processing algorithm based on color image segmentation using MATLAB, and testing its accuracy in counting bacteria colonies. The results showed that the total numbers of bacteria colonies as the result o f counting by image processing algorithm based on color image segmentation were not different statistically compared to manual counting. A good detection o f bacteria colonies was depends on the configuration o f some parameters, such as color sampling, value o f color tolerance, shape and value o f morphological structuring element."

"This book offers an essential guide to Wireless Sensor Networks, IoT Security, Image Processing, Secure Information Systems, and Data Encryption. In addition, it introduces students and aspiring practitioners to the subject of destination marketing in a structured manner. It is chiefly intended for researcher students in the areas of Wireless Sensor Networks and Secure Data Communication (including image encryption, and intrusion detection systems), academics at universities and colleges, IT professionals, policymakers and legislators.Given its content, the book can be used as a reference text for both undergraduate and graduate studies, in courses on Wireless Sensor Networks, Secure Image Processing, and Data Encryption applications. The book is written in plain and easy-to-follow language and explains each main concept the first time it appears, helping readers with no prior background in the field. As such, it is a “must-read” guide to the subject matter."

"Citra digital merupakan salah satu data atau informasi yang sering disalahgunakan, oleh karena itu pengamanan data citra digital menjadi hal yang penting dan mendesak. Salah satu pengamanan bisa dilakukan dengan menerapkan algoritma enkripsi Rijndael. Empat proses utama algoritma ini terdiri dari satu proses permutasi (ShiftRows) dan tiga proses subtitusi (SubBytes, MixColumns, dan AddRoundKey) dan juga proses penjadwalan kunci. Dalam tugas akhir ini akan dibahas tentang pengamanan data citra digital oleh algoritma Rijndael dan juga implementasi algoritma ini dalam mengamankan citra digital. Algoritma Rijndael merupakan algoritma enkripsi yang dapat diaplikasikan untuk pengamanan data berbentuk citra digital.

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Digital image is a form of data or information which is often manipulated, therefore securing digital image becomes urgently important. Rijndael encryption algorithm can be used to secure it. This algorithm consists of a permutation process (ShiftRows), three substitution processes (SubBytes, MixColumns, and AddRoundKey), and also the key scheduling process. In this minithesis, the problem that will be discussed is about securing digital image with Rijndael algorithm and also the implementation of this algorithm on securing digital image. Rijndael algorithm is an encryption algorithm that can be applied for securing digital image."