scholarly journals Streamlining Proses Bisnis Penyiapan Press Release Inflasi

2021 ◽  
Vol 4 (2) ◽  
pp. 125-130
Author(s):  
Fitral Pratomo ◽  

BPS-Statistics of Aceh Province routinely carries out inflation press releases. The process of preparing the press release requires a lot of time. Besides, the inflation data published in this press release was referred to by various parties such as researchers, agencies, and the mass media. Thus, the quality of the data presented must be maintained. This study is aimed at finding a more effective and efficient press release preparation process while maintaining the quality of the inflation data presented. The method used is the Business Process Improvement (BPI) regarding the 12 streamlining tools until the proposed business process is found. Furthermore, a simulation is carried out between the initial business processes and the proposed business processes that are found. This simulation proves that the proposed business process can significantly reduce press release preparation time by up to 74%. The number of business process activities decreases from 14 activities to 9 activities. On the other hand, choosing one of the streamlining tools, namely automation, is expected to be able to maintain the quality of the inflation data presented. Through this study, researchers also found that the BPI method was proven to be able to recommend a more effective and efficient business process for press release preparation

2018 ◽  
Vol 7 (1) ◽  
pp. 102-112 ◽  
Author(s):  
Imam Mukhlash ◽  
Widya Nilam Rumana ◽  
Dieky Adzkiya ◽  
Riyanarto Sarno

The quality of information systems affects the company's business performance. Therefore, it is necessary to analyze business processes to determine any discrepancies between the planned business processes and the actual ones. Based on the results of this analysis, the business process can be improved. The fundamental factor of manufacturing companies is production process. In reality, there are many discrepancies between the actual business processes with the pre-planned, so that there should be analyzed. The analysis can be performed by modeling the business process using Coloured Petri Nets (CPN). In this study, the objectives are to determine the level of conformance checking of business processes, reachability graph and the bottleneck analysis. The results of the analysis are used to construct a recommended model. Based on the analysis of the case study, e.g. a steel industry in Indonesia, the recommended model has a better value than initial model.


2015 ◽  
Vol 22 (4) ◽  
pp. 215-228 ◽  
Author(s):  
Alejandro Vera-Baquero ◽  
Ricardo Colomo Palacios ◽  
Vladimir Stantchev ◽  
Owen Molloy

Purpose – This paper aims to present a solution that enables organizations to monitor and analyse the performance of their business processes by means of Big Data technology. Business process improvement can drastically influence in the profit of corporations and helps them to remain viable. However, the use of traditional Business Intelligence systems is not sufficient to meet today ' s business needs. They normally are business domain-specific and have not been sufficiently process-aware to support the needs of process improvement-type activities, especially on large and complex supply chains, where it entails integrating, monitoring and analysing a vast amount of dispersed event logs, with no structure, and produced on a variety of heterogeneous environments. This paper tackles this variability by devising different Big-Data-based approaches that aim to gain visibility into process performance. Design/methodology/approach – Authors present a cloud-based solution that leverages (BD) technology to provide essential insights into business process improvement. The proposed solution is aimed at measuring and improving overall business performance, especially in very large and complex cross-organisational business processes, where this type of visibility is hard to achieve across heterogeneous systems. Findings – Three different (BD) approaches have been undertaken based on Hadoop and HBase. We introduced first, a map-reduce approach that it is suitable for batch processing and presents a very high scalability. Secondly, we have described an alternative solution by integrating the proposed system with Impala. This approach has significant improvements in respect with map reduce as it is focused on performing real-time queries over HBase. Finally, the use of secondary indexes has been also proposed with the aim of enabling immediate access to event instances for correlation in detriment of high duplication storage and synchronization issues. This approach has produced remarkable results in two real functional environments presented in the paper. Originality/value – The value of the contribution relies on the comparison and integration of software packages towards an integrated solution that is aimed to be adopted by industry. Apart from that, in this paper, authors illustrate the deployment of the architecture in two different settings.


2020 ◽  
pp. 464-478
Author(s):  
Loubna El Faquih ◽  
Mounia Fredj

In recent years, business process modeling has increasingly drawn the attention of enterprises. As a result of the wide use of business processes, redundancy problems have arisen and researchers introduced the variability management, in order to enhance the business process reuse. The most approach used in this context is the Configurable Process Model solution, which consists in representing the variable and the fixed parts together in a unique model. Due to the increasing number of variants, the configurable models become complex and incomprehensible, and their quality is therefore impacted. Most of research work is limited to the syntactic quality of process variants. The approach presented in this paper aims at providing a novel method towards syntactic verification and semantic validation of configurable process models based on ontology languages. We define validation rules for assessing the quality of configurable process models. An example in the e-healthcare domain illustrates the main steps of our approach.


Author(s):  
Ned Kock

In my earlier discussion in this book about business process improvement and organizational learning, I have shown that business process improvement has the potential to foster interfunctional knowledge communication and, consequently, organizational learning. In previous chapters of this book, I have analyzed business process improvement efforts that led to levels of knowledge communication not normally seen in routine organizational processes. Those business process improvement efforts have all been carried out through business process improvement groups.


Author(s):  
José A. Rodrigues Nt ◽  
Jano Moreira de Souza ◽  
Geraldo Zimbrão ◽  
Geraldo Xexéo ◽  
Mutaleci Miranda

Business Process Management (BPM) brings together the idea of effectively managing organizations and properly using Information Technology to fulfill organizations’ needs. For this purpose, BPM systems are largely used nowadays. However, most process models are started from scratch, not having reuse promoted. Sometimes, large enterprises have the same business process implemented in a variety of ways due to differences in their departmental cultures or environments, even when using a unique integrated system. Additionally, although technology plays an important role in actually improving organizations, the human factor is still fundamental, since any improvement attempt goes through cultural changes. In this chapter, a peer-to-peer (P2P) tool is proposed as a way to cooperatively develop business processes models, minimizing the time needed to develop such models, reducing the differences among similar processes conducted in distinct organizational units, enhancing the quality of models, promoting reuse, and distributing knowledge.


2010 ◽  
Vol 25 (3) ◽  
pp. 308-322
Author(s):  
Agnes Koschmider ◽  
Minseok Song ◽  
Hajo A Reijers

Formal models of business processes are used for a variety of purposes. But where the elicitation of the characteristics of a business process usually takes place in a collaborative fashion, the building of the final, formal process model is done mostly by a single person. This article presents the design and Implementation of a Recommendation-Based Process Modeling Support System with ‘social features.’ A process builder using this system will receive recommendations to complete or edit a formal business process model on the basis of previous usage of modeling fragments by her peers. Such features potentially Improve the modeling process and, as such, the modeling outcome, that is, the quality of the process model. This article also contains an evaluation of the system's usage and effectiveness, which builds on an experimental design. It is shown that process builders are inclined to follow up on the provided recommendations and that this will improve the semantical quality of the created model. However, Information on peer usage of modeling fragments does not play a big role in selecting the recommendations being followed up. This article fits within a stream of research that puts emphasis on the modeling process, rather than on the model artifact.


2020 ◽  
Vol 26 (6) ◽  
pp. 1329-1347
Author(s):  
Sandra Bammert ◽  
Ulrich Matthias König ◽  
Maximilian Roeglinger ◽  
Tabitha Wruck

PurposeBusiness process improvement is vital for organizations as business environments are becoming ever more volatile, uncertain, complex and ambiguous. Process improvement methods help organizations sustain competitiveness. Many existing methods, however, do not fit emerging business environments as they entail initiatives with long implementation times, high investments and limited involvement of process participants. What is needed are agile process improvement approaches. The purpose of this paper is to explore the potential of digital nudging – a concept offering tools that lead individuals to better decisions – to improve business processes.Design/methodology/approachUsing process deviance as theoretical lens, an online experiment with 473 participants is conducted. Within the experiment, business processes and digital nudges are implemented to examine whether digital nudging can mitigate the weaknesses of existing process improvement methods.FindingsDigital nudging can influence the decisions of process participants and entail positive process deviance that leads to process improvement opportunities. Further, the research gives a first hint on the effectiveness of different digital nudges and lays the foundation for future research.Research limitations/implicationsSince exploring a completely new field of research and conducting the experiment in a synthetic environment, the paper serves as a first step toward the combination of digital nudging, business process improvements and positive process deviance.Originality/valueThe major achievement reported in this paper is the exploration of a new field of research. Thus, digital nudging shapes up as a promising foundation for agile process improvement, a discovery calling for future research at the intersection of digital nudging and business process management.


2014 ◽  
Vol 13 (03) ◽  
pp. C02 ◽  
Author(s):  
Charlotte Autzen

Scientific institutions have for a long time known the importance of framing and owning stories about science They also know the effective way of communicating science in a press release This is part of the institution’s public relations. Enhanced competition among research institutions has led to a buildup of communicative competences and professionalization of public relations inside the institutions and the press release has become an integrated part of science communication from these institutions. Changing working conditions in the media, where fewer people have to publish more, have made press releases from trustworthy scientific institutions into free and easily copied content for the editors. In this commentary I investigate and discuss the communicative ecosystem of the university press release. I especially take a close look at the role of the critical and independent science journalist in relation to this corporate controlled communication


Author(s):  
Nikmatur Rizqi ◽  
Ulfa Hidayati ◽  
Teguh Arief Ramadhan ◽  
M. Ainul Yaqin

Islamic boarding schools are traditional Islamic educational institutions in which religious values are taught as guidelines to be applied in everyday life. Islamic boarding schools are also analogous to enterprise in which there must be a business process to achieve the objectives of the establishment of boarding schools themselves. The design of business processes in Islamic boarding schools may be able to produce the desired results but sometimes it is not in accordance with the desired costs or desired time. These problems can be overcome by running a business process simulation, which aims to help the analysis and understanding of business process models. Anylogic is used in this study to simulate the boarding school business processes and use the Business Process Improvement (BPI) method to analyze problems in business processes and methods BPMN (Business Process and Notation Model) as a tool to describe or create business process flow models in graphical form.


Author(s):  
Qianhui Liang ◽  
Michael Parkin

An important area of services research gathering momentum is the ability to take a generic business process and instantiate it by selecting services that meet both the functional and non-functional requirements of the process owner. These non-functional or quality-of-service (QoS) requirements may describe essential performance and dependability requirements and apply across different logical layers of the application, from business-related details to system infrastructure; i.e., they are cross-cutting and considered multidimensional. Configuring an abstract business process with the “best” services to meet the process owner’s multidimensional end-to-end QoS requirements is a challenging task as there may be many services that match to the functional requirements but provide differentiated QoS characteristics. In this chapter we explore an approach to discover services, differentiated by their QoS attributes, to configure an abstract business process by selecting an optimal configuration of the “best” QoS combinations. The approach considered takes into account the optimal choice of multi-dimensional QoS variables. We present and compare two solutions based on heuristic algorithms to illustrate how this approach would work practically.


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