In business process, similarity is important for comparing between business process models. The existing similarity methods, such as Graph-based Matching Method (GMA), Weighted Graph Edit Distance (WGED), Weighted Node Adjacent Relation Similarity (WNARS), Tree Declarative Pattern Edit Distance (TPED) and Cosine-Tree Declarative Pattern (Cosine-TDP) can distinguish between AND, OR, and XOR relationships. However, they have drawbacks in detecting same relationships with different event logs. This paper proposes a new similarity method based on weighted graph models called weighted graph-based parallel process model matching (WGPPM) for computing the behaviour of parallel activity relationships. The proposed method utilizes the frequency of activity relationships as the weight in the graph model to measure the similarity between processes containing parallel relationships. WGPPM is compared with GMA, WGED, WNARS, TPED, and Cosine-TDP. The result shows that WGPPM is able to compute similarity between same parallel relationship with different event logs.
There are several security aspects of the data that must be maintained, such as: authentication, integrity, non repudiation, authority, confidentialty, privacy and access control. One of the vulnerable parts of data security is when sending data to the destination. At the time of delivery, tapping of data can occur, so that people who are not entitled to get that information can find out. Therefore, an information needs to be secured so that only people who have access rights can know or get that information. And to maintain the confidentiality of the information, one of the ways is to insert the data into other objects, so that other people do not realize if the object contains important data or information. This hiding method is also known as steganography, and cryptography is added to strengthen the security of the data, that is a science and art to maintain the confidentiality of the message by encoding it in a form that is incomprehensible. The method used in steganography is Least Significant Bit (LSB), the algorithm used in cryptography is the Advanced Encryption Standard (AES), and the software development method used is prototype. The results of this study are all aspects of data security can be achieved, including when passing through the process of sending data through media such as the internet.Keyword: Steganography, Criptography, Prototype.AbstrakAda beberapa aspek keamanan data yang harus dijaga, seperti: otentikasi, integritas, non repudiation, otoritas, kerahasiaan, privasi, dan kontrol akses. Salah satu bagian yang rentan dari keamanan data adalah ketika mengirim data ke tujuan. Pada saat pengiriman, penyadapan data dapat terjadi, sehingga orang yang tidak berhak mendapatkan informasi tersebut dapat mengetahuinya. Oleh karena itu, suatu informasi perlu diamankan sehingga hanya orang yang memiliki hak akses yang dapat mengetahui atau mendapatkan informasi tersebut. Dan untuk menjaga kerahasiaan informasi, salah satu caranya adalah dengan memasukkan data ke objek lain, sehingga orang lain tidak menyadari jika objek tersebut berisi data atau informasi penting. Metode persembunyian ini juga dikenal sebagai steganografi, dan kriptografi ditambahkan untuk memperkuat keamanan data, yaitu ilmu dan seni untuk menjaga kerahasiaan pesan dengan menyandikannya dalam bentuk yang tidak dapat dipahami. Metode yang digunakan dalam steganografi adalah Least Significant Bit (LSB), algoritma yang digunakan dalam kriptografi adalah Advanced Encryption Standard (AES), dan metode pengembangan perangkat lunak yang digunakan adalah prototipe. Hasil dari penelitian ini adalah semua aspek keamanan data dapat dicapai, termasuk ketika melewati proses pengiriman data melalui media seperti internet.Kata kunci: Steganografi, kriptografi, Prototipe
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