Abstract:Featured Application: To work with a simplified version of a BPMN model that condenses the information of interest can be very interesting from a human point of view (the understanding of the model is facilitated). Moreover, an optimised version of a BPMN model can yield in more efficient results for mining process software and data analytic techniques.Abstract: BPMN (Business Process Model and Notation) is currently the preferred standard for the representation and analysis of business processes. The elaborat… Show more
“…BPMN adalah tool standar untuk representasi dan analisis proses bisnis (Fernández et al, 2020;Ramos-Merino et al, 2019). Alat ini merupakan sarana komunikasi antara departemen, peran pemangku kepentingan, sistem, pelanggan, pemasok, pelaksana proses bisnis yang berbeda dan menjembatani kesenjangan komunikasi antara perancang dan pengembang perangkat lunak (Dechsupa et al, 2019;Kazemzadeh et al, 2015;Zafar et al, 2019).…”
Latar Belakang: Layanan medical check up (MCU) dibutuhkan untuk berbagai keperluan, di antaranya untuk persyaratan pengangkatan Pegawai Negeri Sipil (PNS). Pasien yang menjalani MCU perlu mengetahui proses yang harus diikuti, lama proses, dan jadwal penerimaan hasil agar pasien dapat mempersiapkan diri dengan baik. Di sisi lain, manajemen rumah sakit juga perlu mengevaluasi layanan MCU agar selalu unggul, kompetitif, dan berkelanjutan.Tujuan: Membangun model proses bisnis layanan MCU dalam persyaratan pengangkatan PNS.Metode: Observasi dan eksplorasi untuk menganalisis proses bisnis layanan MCU serta mempelajari dokumen hasil MCU seperti hasil pemeriksaan laboratorium dan thorax serta surat hasil MCU yang telah disahkan oleh ketua tim penguji kesehatan rumah sakit. Pemodelan proses bisnis dibuat menggunakan BPMN dengan tool Bizagi.Hasil: Model proses bisnis untuk panduan pasien dan peningkatan layanan MCU dapat diimplementasikan menjadi Standard Operating Procedure (SOP) layanan MCU di rumah sakit. Selain itu, model ini merupakan requirement awal yang sangat penting untuk membangun perangkat lunak pencatatan data MCU yang terintegrasi.Kesimpulan: Adanya model proses BPMN dapat memudahkan pasien untuk mengetahui tahapan proses MCU yang sedang mereka jalani dan perkiraan waktu selesainya. Manajemen rumah sakit juga dapat menjadikan model ini untuk mengevaluasi dan meningkatkan layanan MCU.
“…BPMN adalah tool standar untuk representasi dan analisis proses bisnis (Fernández et al, 2020;Ramos-Merino et al, 2019). Alat ini merupakan sarana komunikasi antara departemen, peran pemangku kepentingan, sistem, pelanggan, pemasok, pelaksana proses bisnis yang berbeda dan menjembatani kesenjangan komunikasi antara perancang dan pengembang perangkat lunak (Dechsupa et al, 2019;Kazemzadeh et al, 2015;Zafar et al, 2019).…”
Latar Belakang: Layanan medical check up (MCU) dibutuhkan untuk berbagai keperluan, di antaranya untuk persyaratan pengangkatan Pegawai Negeri Sipil (PNS). Pasien yang menjalani MCU perlu mengetahui proses yang harus diikuti, lama proses, dan jadwal penerimaan hasil agar pasien dapat mempersiapkan diri dengan baik. Di sisi lain, manajemen rumah sakit juga perlu mengevaluasi layanan MCU agar selalu unggul, kompetitif, dan berkelanjutan.Tujuan: Membangun model proses bisnis layanan MCU dalam persyaratan pengangkatan PNS.Metode: Observasi dan eksplorasi untuk menganalisis proses bisnis layanan MCU serta mempelajari dokumen hasil MCU seperti hasil pemeriksaan laboratorium dan thorax serta surat hasil MCU yang telah disahkan oleh ketua tim penguji kesehatan rumah sakit. Pemodelan proses bisnis dibuat menggunakan BPMN dengan tool Bizagi.Hasil: Model proses bisnis untuk panduan pasien dan peningkatan layanan MCU dapat diimplementasikan menjadi Standard Operating Procedure (SOP) layanan MCU di rumah sakit. Selain itu, model ini merupakan requirement awal yang sangat penting untuk membangun perangkat lunak pencatatan data MCU yang terintegrasi.Kesimpulan: Adanya model proses BPMN dapat memudahkan pasien untuk mengetahui tahapan proses MCU yang sedang mereka jalani dan perkiraan waktu selesainya. Manajemen rumah sakit juga dapat menjadikan model ini untuk mengevaluasi dan meningkatkan layanan MCU.
“…[7] presented a tool of process analysis and simulation based upon the theory of Petri net modeling methodology, which is named Yasper [7] as a tool for modeling, analyzing, and simulating process models based on Petri nets. − The authors of [20] proposed a fully automatic method to simplify BPML (business process model and notation) process models and described a two-phase iterative algorithm to achieve this simplification, which follows a heuristic approach that makes intensive use of a pattern repository. − The study of [21] introduced a goal-driven process evaluation method based on process mining for healthcare processes.…”
Section: Related Workmentioning
confidence: 99%
“…The behavioral sequence (BS) analysis results on the Experimental Dataset-2. ,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43 …”
In this paper, we propose an integrated approach for seamlessly and effectively providing the mining and the analyzing functionalities to redesigning work for very large-scale and massively parallel process models that are discovered from their enactment event logs. The integrated approach especially aims at analyzing not only their structural complexity and correctness but also their animation-based behavioral properness, and becomes concretized to a sophisticated analyzer. The core function of the analyzer is to discover a very large-scale and massively parallel process model from a process log dataset and to validate the structural complexity and the syntactical and behavioral properness of the discovered process model. Finally, this paper writes up the detailed description of the system architecture with its functional integration of process mining and process analyzing. More precisely, we excogitate a series of functional algorithms for extracting the structural constructs and for visualizing the behavioral properness of those discovered very large-scale and massively parallel process models. As experimental validation, we apply the proposed approach and analyzer to a couple of process enactment event log datasets available on the website of the 4TU.Centre for Research Data.
“…− The authors of [20] proposed a fully automatic method to simplify BPML(business process model and notation) process models and described a two-phase iterative algorithm to achieve this simplification, which follows a heuristic approach that makes intensive use of a pattern repository.…”
Process (or business process) management systems fulfill defining, executing, monitoring and managing process models deployed on process-aware enterprises. Accordingly, the functional formation of the systems is made up of three subsystems such as modeling subsystem, enacting subsystem and mining subsystem. In recent times, the mining subsystem has been becoming an essential subsystem. Many enterprises have successfully completed the introduction and application of the process automation technology through the modeling subsystem and the enacting subsystem. According as the time has come to the phase of redesigning and reengineering the deployed process models, from now on it is important for the mining subsystem to cooperate with the analyzing subsystem; the essential cooperation capability is to provide seamless integrations between the designing works with the modeling subsystem and the redesigning work with the mining subsystem. In other words, we need to seamlessly integrate the discovery functionality of the mining subsystem and the analyzing functionality of the modeling subsystem. This integrated approach might be suitable very well when those deployed process models discovered by the mining subsystem are complex and very large-scaled, in particular. In this paper, we propose an integrated approach for seamlessly as well as effectively providing the mining and the analyzing functionalities to the redesigning work on very large-scale and massively parallel process models that are discovered from their enactment event logs. The integrated approach especially aims at analyzing not only their structural complexity and correctness but also their animation-based behavioral properness, and becomes concretized to a sophisticated analyzer. The core function of the analyzer is to discover a very large-scale and massively parallel process model from a process log dataset and to validate the structural complexity and the syntactical and behavioral properness of the discovered process model. Finally, this paper writes up the detailed description of the system architecture with its functional integration of process mining and process analyzing. And more precisely, we excogitate a series of functional algorithms for extracting the structural constructs as well as for visualizing the behavioral properness on those discovered very large-scale and massively parallel process models. As experimental validation, we apply the proposed approach and analyzer to a couple of process enactment event log datasets available on the website of the 4TU.Centre for Research Data.
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