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
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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: | http://repository.its.ac.id/id/eprint/76419 |
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