Zainal A. Hasibuan

Priority of Key Success Factors (KSFS) on Enterprise Resource Planning (ERP) System Implementation Life Cycle

This study presents the priority of key success factors (KSFs) on Enterprise Resource Planning (ERP) system implementation life cycle. There are twenty KSFs considered in this study. They were chosen from literature review. The KSFs are classified into five stages of ERP implementation life cycle; namely: project preparation, technology selection, project formulation, implementation/development and deployment. To address the study objectives, a survey questionnaire was considered the most appropriate research method. It was sent to 74 companies that have been implementing ERP system for at least one year. The respondents are staff at management level, IT staff and users involved in the development and use of the ERP system. The survey received 248 responses from 740 quesitionnaires that were sent to the companies. To find the priority of KSFs on ERP implementation life cycle, a quantitative analysis is applied to identify the weighting of KSFs toward ERP implementation success. The success of ERP implementation can be measured through five indicators; namely: system quality, information quality, service quality, tactical impact and strategical impact. Based on the weighting of KSFs on each stage of ERP implementation life cycle, it is found that the communication is most critical KSF on project preparation stage (ρ = 0.664). While the strong ERP product (package selection) is most critical KSF on technology selection stage (ρ = 0.554). The change management is most critical KSF on project formulation stage (ρ = 0.406), and on implementation/development stage, user training is the most critical KSF (ρ = 0.422). This study is expected to improve knowledge in ERP implementation, especially the role of KSF on each stage of ERP implementation life cycle.

The use of e-learning towards new learning paradigm: case study student centered e-learning environment at Faculty of Computer Science - University of Indonesia

Faculty of Computer Science (Fasilkom), University of Indonesia (UI) develops Student Centered E-Learning Environment (SCELE) for Graduate Program in Information Technology as part of distance learning system, which is developed using enterprise resources planning approach. SCELE is also well known as learning management system (LMS). Beside SCELE, Fasilkom UI also develops contents that are conformant with SCELE, and also Digital Library and Online Academic Registration System to support learning process. This paper elaborates the study of SCELE, content development, and the result of system evaluation.

Cloud-Based e-learning: a proposed model and benefits by using e-learning based on cloud computing for educational institution

The increasing research in the areas of information technology have a positive impact in the world of education. The implementation of e-learning is one of contribution from information technology to the world of education. The implementation of e-learning has been implemented by several educational institutions in Indonesia. E-Learning provides many benefits such as flexibility, diversity, measurement, and so on. The current e-learning applications required large investments in infrastructure systems regardless of commercial or open source e-learning application. If the institution tended to use open source e-learning application it would need more cost to hire professional staff to maintain and upgrade the e-learning application. It can be challenging to implement e-learning in educational institutions. Another problem that can arise in the use of e-laerning trend today is more likely to institution building their own e-learning system itself. If two or more institutions are willing to build and use an e-learning so they can minimize the expenditure to develop the system and share learning materials more likely happened. This paper discuss the current state and challenges in e-learning and then explained the basic concept and previous proposed architectures of cloud computing. In this paper authors also proposed a model of cloud-based e-learning that consists of five layer, namely: (1) infrastructure layer; (2) platform layer; (3) application layer; (4) access layer; and (5) user layer. In addition to this paper we also illustrated the shift paradigm from conventional e-learning to cloud-based e-learning and described the expected benefits by using cloud-based e-learning.

Named entity recognition for the indonesian language: combining contextual, morphological and part-of-speech features into a knowledge engineering approach

We present a novel named entity recognition approach for the Indonesian language. We call the new method InNER for Indonesian Named Entity Recognition. InNER is based on a set of rules capturing the contextual, morphological, and part of speech knowledge necessary in the process of recognizing named entities in Indonesian texts. The InNER strategy is one of knowledge engineering: the domain and language specific rules are designed by expert knowledge engineers. After showing in our previous work that mined association rules can effectively recognize named entities and outperform maximum entropy methods, we needed to evaluate the potential for improvement to the rule based approach when expert crafted knowledge is used. The results are conclusive: the InNER method yields recall and precision of up to 63.43% and 71.84%, respectively. Thus, it significantly outperforms not only maximum entropy methods but also the association rule based method we had previously designed.

The Impact of Enterprise Resource Planning (ERP) System Implementation on Organization: Case Study ERP Implementation in Indonesia

Enterprise Resource Planning (ERP) is one of the most popular software technologies for supporting operational organization. It emphasizes business transformation which will lead to process change in its effort to maximize the company’s benefit. However, implementation of ERP system does not always give a strategic benefit for the company. Most companies did not succeed in implementing this system. In this study, we focused on the exploration of strategical and tactical impact induced by the implementation of ERP and to find out the correlation among ERP implementation success with the strategical and tactical impact. Thirty-five respondents from seven companies became the samples that represent four different industrial sectors (oil & service, manufacturing, telecommunication, automotive). It was found that ERP implementation gave more impact to tactical level than to strategical level. This is derived from data analysis using Spearman rank test which shows that ρyx1 = 0.167 (not significant with p<0.05) and ρyx2 = 0.813 (significant with p<0.01). Thus, specifically for Indonesian companies, the present study shows that ERP implementation acted only as a support toward the core business instead of creating a competitive advantage. The reasons behind these findings are: (1) the companies were not ready to make big investment for implementing all modules in ERP, including the specific modules; (2) the companies were afraid to fail in their implementation, so they chose to implement the modules only for supporting the core business; (3) the ERP implementations were not driven by the organizations’ business needs, but by the technology itself; (4) there were other external factors which forced the companies to implement ERP, such as: government policy, bank policy and political issue.

Open learning optimization based on cloud technology: Case study implementation in personalization e-learning

Indonesia is a developing country that began to utilize information technology in education. A form of its implementation is the use of e-learning. However, in practice there are still some obstacles, such as learning resources are not evenly distributed, limited access to services provided, qualified educators resources are concentrated in specific areas. This led to the emergence of disparities educational process, and technology gap due to differences in ICT infrastructure owned by any educational institution. Therefore this study propose an architecture of cloud-based open learning to solve these problems. The term open learning is used in order to encouraging the development of the concept of Indonesia Open Educational Resources (IOER) and as well as the adoption of concept of cloud computing. This research through several phases of research including analysis, design, implementation, testing and evaluation. The design of the proposed architecture consists of six layers: (1) Infrastructure, (2) Platform, (3) Application, (4) Service, (5) Access, (6) User. As a results of the implementation from this architecture is a prototype of Indonesia - Virtual Open Learning System (iVOLS). In experiment, personalization e-learning runs as a service that need large storage and other shared facilities to conduct the program so the system can delivered different learning materials to different learners. The personalization e-learning in cloud environment successed when the learners got the best performance on learning and it shown by their evaluation score. Based on the test results and evaluation showed that the availability on Cloud-Based Open Learning further meet user needs. This is indicated by the presence of a simple infrastructure services, application services with just one stage and the availability of a wider range of data and the resource sharing. In accessibility, Cloud-Based Open Learning provides easy access to the user. By economically, the result of evaluation showed that Cloud-Based Open Learning has an investment of 35.61% efficiency, increase return on investment (ROI) of 60.95% and an increase in benefits (NPV) of 81.97% from the users perspective. While from the providers perspective, Cloud-Based Open Learning has an investment of 200% efficiency, increase return on investment (Rol) of 220.4% and an increase in benefits (NPV) of 109.55%.

Quality of Service for IPTV Using Xcast in Ipv6 Network

This paper presents an idea in the context of multicasting: it is to manage QoS with a certain level of hazard. The Xcast and IPv6 are used in the context of IPTV which is a contestable choice since the number of user could be high regarding the size of the packet header. In large IPTV network, even an IPTV stream with a small number of subscribers could have hundreds of them. Moreover if Xcast stream is used for session with a very small number of users, it is necessary to consider concurrence multicast flow using normal multicast routing scheme. Simulation results using NS3 shows that the proposed QoS mechanism has a good performance in term of throughput.

Exploiting local popularity to prune routing indices in peer-to-peer systems

Routing in unstructured peer-to-peer systems relies either on broadcasting (also called flooding) or on routing indices. An approach using routing indices is only scalable if the routing indices are of manageable size. In this paper, we present a strategy to prune routing indices based on popularity of resources. Routing indices maintain routing information for queries to the most popular resources, leaving queries to other resources to be routed randomly. The popularity of resources at each node of a network is learnt by each routing index, by means of a replacement strategy. We compare the performance of the local popularity method against that of the global popularity method in pruning routing indices in both static and dynamic environments. We compare the effectiveness and the efficiency of two standard replacement strategies: least frequently used (LFU) and least recently used (LRU). Our results confirm the efficiency and effectiveness of pruning routing indices based on the local popularity of resources in unstructured peer-to-peer networks.

Adaptive Double Routing Indices: Combining Effectiveness and Efficiency in P2P Systems

Unstructured peer-to-peer systems rely on strategies and data structures (Routing Indices) for the routing of requests in the network. For those requests corresponding to information retrieval queries, the emphasis can be either put on the effectiveness of the routing by privileging the relevance of the documents retrieved, or on the efficiency of the routing by privileging the response time. We propose in this paper a novel routing strategy based on adaptive Routing Indices. The Routing Indices are adaptive to the environment, i.e. network traffic, location, as well as relevance of the documents indexed, thanks to a reinforcement learning approach to their maintenance. The strategy can be used to tune the compromise between efficient and effective routing. It combines the estimation of the response time of routes with the estimation of the relevance of routes to keywords. We study performance and the tuning of the compromise offered by this novel strategy under various characteristics of the network and traffic.

Enhancing the implementation of cloud-based open learning with e-learning personalization

Indonesia is a developing country that began to utilize information technology in education. A form of its implementation is the use of e-learning. However, in practice there are still some obstacles, such as learning resources are not evenly distributed, limited access to services provided, qualified educators resources are concentrated in specific areas. This led to the emergence of disparities educational process, and technology gap due to differences in ICT infrastructure owned by any educational institution. Therefore this study proposes architecture of cloud-based open learning to solve these problems. The term open learning is used in order to encouraging the development of the concept of Indonesia Open Educational Resources (IOER) and as well as the adoption of concept of cloud computing. There are several phase that we conducted in this research such as analysis, design, implementation, testing, and evaluation phase. The design of the proposed architecture consists of six layers: (1) Infrastructure, (2) Platform, (3) Application, (4) Service, (5) Access, (6) User. As a result of the implementation from this architecture is a prototype of Indonesia - Virtual Open Learning System (iVOLS). In experiment, personalization e-learning runs as a service that need large storage and other shared facilities to conduct the program so the system can delivered different learning materials to different learners. The e-learning personalization in cloud environment classified successful if the learners got the best performance on learning and it shown by their evaluation score. Based on the test results and evaluation showed that the availability on Cloud-Based Open Learning further meet user needs. This is indicated by the presence of a simple infrastructure services, application services with just one stage and the availability of a wider range of data and the resource sharing. In accessibility, Cloud-Based Open Learning provides easy access to the user. By economically, the result of evaluation showed that Cloud-Based Open Learning has an investment of 35.61% efficiency, increase Return On Investment (ROI) of 60.95% and Net Present Value (NPV) of 81.97% from the users perspective. While from the providers perspective, Cloud-Based Open Learning has an investment of 200% efficiency, increase Return On Investment (RoI) of 220.4% and Net Present Value (NPV) of 109.55%.