Dekomposisi Model Proses Bisnis Tebang Muat Angkut (TMA) Menggunakan Refined Process Structure Tree (RPST) dan Metrik Kompleksitas

Abstract— In an organization, some problems often arise, one of which lies in the complexity of business process modeling. In business processes, high complexity values ​​are complicated to analyze and maintain as a whole, so a method is needed to break down the business process into smaller parts called the fragment process model. Therefore, a decomposition was carried out to decompose the process model to make it simpler. The benefit of decomposition is to make it easier for users to compose the required business process model. We used three different scenarios for the TMA process model to analyze each fragment. There is a process model with scenarios that tend to be the sequence, multi-branching, and nested branching. Furthermore, to support the results of the RPST, the calculation of the average complexity value with the Yaqin Complexity formula, and the standard deviation for the process model fragment was also carried out. Our experimental results found that the rate of the tree at the RPST affected the number of fragments. Also, we found that the more profound the tree depth, the higher the average complexity value. In this study, we found that scenarios that tend to be sequential, have the lowest average complexity value with the number 22, and a standard deviation value of 5,567. While the highest value is in the scenario that has nested branching, and there is a repetition process with an average complexity value of 29.8 and a standard deviation value of 13.405. Keywords— Process Model, RPST, Decomposition, Complexity Matrix, Standard Deviation. Abstrak— Dalam suatu organisasi seringkali timbul beberapa permasalahan, salah satunya terletak pada kompleksitas pemodelan proses bisnis. Dalam proses bisnis, nilai kompleksitas yang tinggi rumit untuk dianalisis dan dipelihara secara keseluruhan, sehingga diperlukan metode untuk memecah proses bisnis menjadi bagian-bagian yang lebih kecil yang disebut model proses fragmen. Oleh karena itu, dekomposisi dilakukan untuk menguraikan model proses agar lebih sederhana. Manfaat dekomposisi adalah memudahkan pengguna untuk menyusun model proses bisnis yang dibutuhkan. Kami menggunakan tiga skenario berbeda untuk model proses TMA untuk menganalisis setiap fragmen. Terdapat model proses dengan skenario yang cenderung berurutan, bercabang banyak, dan bercabang bersarang. Selanjutnya untuk mendukung hasil RPST juga dilakukan perhitungan nilai kompleksitas rata-rata dengan rumus Yaqin Complexity, dan standar deviasi untuk fragmen model proses. Hasil eksperimental kami menemukan bahwa laju pohon di RPST memengaruhi jumlah fragmen. Selain itu, kami menemukan bahwa semakin mendalam kedalaman pohon, semakin tinggi nilai kompleksitas rata-ratanya. Pada penelitian ini ditemukan skenario yang cenderung berurutan, memiliki nilai rata-rata kompleksitas terendah dengan angka 22, dan nilai standar deviasi 5,567. Sedangkan nilai tertinggi ada pada skenario bercabang nested, dan terjadi proses pengulangan dengan nilai kompleksitas rata-rata 29,8 dan nilai standar deviasi 13,405. Keywords—Model Proses, RPST, Dekomposisi, Matrik Kompleksitas, Standar Deviasi.

МЕХАНІЗМ НЕЧІТКОГО ВИВЕДЕННЯ В ІНТЕЛЕКТУАЛЬНІЙ СИСТЕМІ ДІАГНОСТИКИ ЗАХВОРЮВАНЬ

This article is devoted consideration of mechanism of fuzzy conclusion in the intellectual system of diagnostics of diseases. The process of realization of inference method is described. The general structure of model of diagnostics of diseases is presented. The example of model fragment is considered. Description of base of fuzzy rules of the intellectual system is presented. The examples of external and internal representation of rules are resulted. The stages of algorithm of fuzzy conclusion of Mamdani are considered. Description of application of algorithm is presented for Mamdani for the intellectual system of diagnostics of diseases.

The Clearance of Human Fibrinogen Fragments X and Y in Mice: A Process Mediated by the Fragment D Receptor

SummaryThe clearance of radiolabeled human fibrinogen fragments X and Y was studied in the mouse model. Fragment X cleared rapidly from the circulation with less than 10% of the ligand remaining in the circulation at 4 hr. The clearance of fragment Y was somewhat slower, but was identical to the rate of clearance of fragment D,. Competition studies indicated that fragments X, Y, D, and D! dimer clear via the same, saturable pathway. Fragment E did not compete for the clearance of these ligands. Tissue distribution studies demonstrated that the liver was the principal site of clearance of all three ligands. The kidneys also cleared a fraction of each ligand in the order fragment D3>D2>D1 >Y>X. This pattern suggests that renal clearance is a passive phenomenon dependent on the size of the fibrinogen degradation product.