Analisa Similaritas Model Proses Bisnis Menggunakan Metode Hybrid Probabilistic Latent Semantic Analysis (Plsa) Dan Weighted Directed Acyclic Graph (Wdag)

Anugrah, Indra Gita (2016) Analisa Similaritas Model Proses Bisnis Menggunakan Metode Hybrid Probabilistic Latent Semantic Analysis (Plsa) Dan Weighted Directed Acyclic Graph (Wdag). Masters thesis, Institut Teknologi Sepuluh Nopember Surabaya.

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Abstract

Kebutuhan perusahaan atau organisasi dalam melakukan analisis model proses bisnis diharapkan agar perusahaan maupun organisasi dapat memahami proses yang berjalan serta dapat digunakan sebagai alat untuk membantu perusahaan dalam menghadapi perubahan dan perkembangan sehingga dapat mempermudah pengambilan kebijakan yang dibutuhkan dalam menghadapi perubahan dengan cepat, misalnya pemanfaatan proses yang telah berjalan untuk digunakan dalam proses lain (reusable). Tahap awal dalam penerapan reusable proses adalah mengetahui sub proses yang menyusun proses keseluruhan, tahap berikutnya melakukan analisis terhadap sub-proses dan menghitung nilai similaritas diantara sub-proses yang dibandingkan. Pada penelitian ini akan dibahas metode dekomposisi untuk mengetahui sub-proses yang menyusun proses keseluruhan dari model proses bisnis menggunakan Refined Process Structure Tree (RPST) dan Single Entry and Single Exit (SESE), setelah itu dilakukan analisis menggunakan analisis gabungan dalam menentukan nilai similaritas diantara sub-proses. Metode analisis gabungan yang kami ajukan menggunakan Weighted Directed Acyclic Graph (WDAG) untuk analisa struktural dan Probabilistic Latent Semantic Analysis (PLSA) untuk analisa teekstual dengan tujuan mendapatkan hasil yang lebih baik dari pada menggunakan analisa struktural saja. Studi kasus dalam penelitian ini menggunakan proses bisnis Penerimaan Peserta Didik Baru (PPDB), dengan menggunakan metode diatas proses bisnis PPDB lebih mudah dianalisa sehingga membantu perusahaan atau organisasi dalam menghadapi perubahan secara cepat dan tepat =========================================================================================== Needs of the company or organization in analyzing business process models is expected that companies and organizations can understand the processes that are running and can be used as a tool to help companies in the face of change and development so as to facilitate the decision making required in the face of change quickly, for example, the use of process have gone on to be used in another process (reusable). The initial stage in the application process is knowing reusable sub-processes that make up the whole process, the next stage of the analysis of sub-processes and calculate the value of similarity between the subprocesses that are compared. In this research will be discussed decomposition method to determine the sub-processes that make up the overall process of business process models using the Refined Process Structure Tree (RPST) and Single Entry and Single Exit (SESE), then analyzed using analysis combined in determining the value of similarity between sub process. The combined analysis method that we propose to use Weighted Directed Acyclic Graph (WDAG) for structural analysis and Probabilistic Latent Semantic Analysis (PLSA) for textual analysis in order to get better results from the structural analysis only. The case studies in this study using a business process Admission New Students (PPDB), using the above method PPDB business processes more easily analyzed and can help change quickly and accurately with the development

Item Type: Thesis (Masters)
Additional Information: RTIf 004.21 Anu b
Uncontrolled Keywords: Reusable Bisnis Proses, Dekomposisi, Refined Process Structured Tree (RPST), Probabilistic Latent Semantic Analysis (PLSA), Weighted Directed Acyclic Graph (WDAG).
Subjects: L Education > LB Theory and practice of education > LB1029.S53 Educational games. Simulation methods
T Technology > T Technology (General) > T58.6 Management information systems
Divisions: Faculty of Information Technology > Informatics Engineering > 55101-(S2) Master Thesis
Depositing User: EKO BUDI RAHARJO
Date Deposited: 20 Jul 2020 03:26
Last Modified: 20 Jul 2020 03:26
URI: https://repository.its.ac.id/id/eprint/76419

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