Eko K. Budiardjo

Addressing OWL ontology for goal consistency checking

Handling a conflict (inconsistency) is one of active areas in the research of Goal Oriented Requirements Engineering (GORE). In the modeling of GORE, the conflict may occur in the operation model, but basically is will take root from goal model. Therefore, the conflict handling in the GORE must be carried out in the goal model. Ontology is used to capture the knowledge of certain domain wished. One of language standards for ontology that has been widely used is Ontology Web Language (OWL) from World Wide Web Consortium (W3C). One of the features of Ontology described using OWL is that it can be processed using a reasoner, where one of reasoners standard service is the checking of consistency. This paper presents how the Ontology OWL is used for the consistency checking in the goal model. The first step conducted is to convert the goal model into Ontology using Protégé. Parallel with the first step, Ontology (Protégé) equipped with certain reasoner carried out the checking consistency of terminology, designation, and structure. The next step is to conduct the checking of logic consistency (Strong conflict and/or Weak conflict) by defining the rules using SWRLTab.

The critical success factors for customer relationship management implementation: a systematic literature review

The implementation of customer relationship management CRM is one of the most common strategies applied by companies to enhance customer relationship and highly related to technology. In fact, it is not easy to successfully implement this strategy because it requires a huge investment and is influenced by other critical factors. This research aims to synthesise critical success factors CSFs from CRM implementation using a systematic literature review approach to papers published in 2001-2014. According to the findings towards 53 relevant papers, technology selection and adaptation technological readiness are the most dominant factors. Furthermore, the synthesis finding also shows CSF research shifting to social media, and turns out as the difference between CRM and social CRM implementation.

The critical success factors (CSFs) of social CRM implementation in higher education

Social CRM is an evolution of CRM systems that now includes social media as an important component with many companies using social CRM to facilitate customer engagement. The use of social CRM in the higher education industry lags behind many other industries primarily because social CRM models do not exist for higher education. This research aims to provide the critical success factors for implementing a social CRM system for higher education institutions in Jakarta, Indonesia. A questionnaire was sent to fifty eight private universities in Jakarta. Each questionnaire had one hundred thirteen questions which were sent to top level higher education officials in order to understand the critical success factors needed to build a social CRM model. Seventeen universities replied and sixteen critical success factors were identified as core components after performing a statistical technique named Principle Component Analysis (PCA).

A Systematic Literature Review on Combining Ontology with Bayesian Network to Support Logical and Probabilistic Reasoning

Reasoning in ontology is currently limited to logical reasoning. It is because ontology does not have a standard for probabilistic reasoning. Various approaches have been made by researchers to add the ability for ontological reasoner to do probabilistic reasoning. The approach is done by combining ontology with Bayesian network that does have probabilistic reasoning abilities. This study mapped out various approaches performed in combining ontologies with Bayesian networks to realize logical and probabilistic reasoning simultaneously. We use a systematic literature review method to identify the primary studies on combining ontology with Bayesian network following a predefined review protocol. We searched from four indexing services (SCOPUS, IEEE Xplore, ACM Digital Library, and SpringerLink) and got the result of 74 papers accepted for the review. We extracted properties from these studies and found 8 motivations of the studies, 5 contexts, 4 factors involved, and 5 techniques used in combining ontology with Bayesian network. The aim and the context are clearly stated in most of the studies, while most of the authors did not completely discuss the threats in their papers. As for the method and findings, most of the studies describe and discuss it moderately.

Factors influencing the intention to share knowledge in citizen media with stimulus-organismic-response framework

The trend of citizen journalism enables people to actively share knowledge. This research aimed to analyse which factors influence the individual to share knowledge in citizen media. Our research model was organised using stimulus-organismic-response SOR framework by focusing stimulus from social and technological environment. The five points Likert scale questionnaire was developed and distributed to 850 Kompasianas contributors the largest citizen media platform in Indonesia via message feature, thus obtaining 295 valid respondents who fill the questionnaire completely. Those data then were analysed by structural equation modelling method using AMOS 22.0. The result shows that both social and technological environment significantly influences the intention to share knowledge.

Ontology-Based Knowledge Management System Model for R3ST Software Maintenance Environment

Research shows that approximately 40% to 60% of the maintenance effort, devoted to understand the modified software. One of the obstacles founded in software maintenance is the lack of contained knowledge in software. This research proposes a conceptual framework in software maintenance by utilizing knowledge management process and software comprehension using ontology as formal modeling analysis to expliciting the tacit knowledge in software. The topic of software comprehension is an important part for software engineers effort. This framework is realized by means the Requirements Recovery and Reconstruction (R3) method based Software Tools (R3ST) environment. R3ST bind to domain ontology for increasing the contextual result. It is expected that R3ST would be able to facilitate software developers in software maintenance activities.

R3ST for Requirements Recovery of Legacy Runtime Code

 Abstract—In reality, we often find that proven and workable software, exist without source code. Identifying end-to-end interaction within existing legacy runtime code is a promising way for requirements recovery. Those identified interaction forms a set of use cases. Based on use case modeling concept, ontology is created for each finding interaction in order to check for completeness and consistency. OWL serves as platform for ontology development. That ontology reflects the recovered requirements. The procedures to identify the end-to-end interaction has been formulated and tested for university information systems. R3ST, tighly couple to Prote ge , has been developed with the objective to assist and automate those procedures.

ZEF Framework for e-Government Applications: Featuring SOA and BPM Alignment

 Abstract—A change is a challenge since it is unpredictable and can happen anytime. The enterprise systems have to be responsive to changes. The change will cause alteration in the application and/or existing database if it is not supported by flexible system and adaptable environment. Service Oriented Architecture (SOA) support a mechanism for reusability and seamless integration. In order to anticipate the changes and to improve information services, Business Process Management (BPM) and Service Oriented Architecture (SOA) need to be synergized. Some previous researches have synergized BPM and SOA to endorsed the creation of flexible enterprise system environment, but lack in detailing how to determine and manage commonality and variability features in application software. This Study is illustrated in the Indonesian e-government Enterprise System. Since Indonesia has central and local governments, there are some commonality and specificity of rules and policies. Beside that, there are similarities and dissimilarities of rules and policies among local governments. Hence, to optimize the possibility of intersection and interrelated among common and specific components are needed. Those intersection and interrelated components are integrated in Zumas e-government Framework (ZEF). This framework consists of four layers: legacy layer, component layer, technical layer and business layer. The layers guaranteed the alignment of rules and policies among central and local governments in the e-government enterprise initiatives. Index Terms—Component, SOA, BPM, e-Government framework

The ontology model of FrontCRM framework

Adoption and implementation of Customer Relationship Management (CRM) is not merely a technological installation, but the emphasis is more on the application of customer-centric philosophy and culture as a whole. CRM must begin at the level of business strategy, the only level that thorough organizational changes are possible to be done. Changes agenda can be directed to each departmental plans, and supported by information technology. Work processes related to CRM concept include marketing, sales, and services. FrontCRM is developed as framework to guide in identifying business processes related to CRM in which based on the concept of strategic planning approach. This leads to processes and practices identification in every process area related to marketing, sales, and services. The Ontology model presented on this paper by means serves as tools to avoid framework misunderstanding, to define practices systematically within process area and to find CRM software features related to those practices.