Bobby A. A. Nazief

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.

Simulation of Hiërarchical Resource Management for Meta-computing Systems

Optimal scheduling in meta-computing environments still is an open research question. Various resource management (RM) architectures have been proposed in the literature (e.g. [2][13][12]). In the present paper we explore, through simulation, various multi-level scheduling strategies for compound computing environments comprising several clusters of workstations. We study global and local RM and their interaction. The local RM comprises both the cluster management and operating system schedulers. Each level refines the scheduling decisions of the layer above it, taking into account the latest resource information. Our experiments explore conventional strategies like First Come, First Served (FCFS) and Shortest Job First (SJF) at the global RM level. At all levels, the schedulers strive to maintain a good load balance. The unit of load balancing at the global level is the job consisting of one or more parallel tasks; at the local level it is the task. The results of our simulations indicate that, especially at high system loads, the use of a global RM can result in a significant performance gain.

Development of computational linguistics research: a challenge for Indonesia

The emergence of Internet as a global information repository, where information of all kind is stored, requires intelligent information processing tools (i.e., computer applications) to help the information seeker to retrieve the stored information. To build these intelligent information processing tools, we need to build computer applications that understand human language since most of those information is represented in human language. This is where computational linguistics becomes important, especially for countries like Indonesia that hosts more than 200 million people. We need to develop a systematic understanding of the Bahasa Indonesia (the Indonesian national language) to enable us develop the needed computer applications that will help us manage information intelligently.

Simulating Job Scheduling for Clusters of Workstations

In this paper we study hierarchical job scheduling strategies for clusters of workstations. Our approach uses two-level scheduling: global scheduling and local scheduling. The local scheduler refines the scheduling decisions made by the global scheduler, taking into account the most recent information. In this paper, we explore the First Come First Served (FCFS), the Shortest Job First (SJF), and the First Fit (FF) policies at the global level and the local level. In addition, we use separate queues at the global level for arriving jobs, where the jobs with the same number of tasks are placed in one queue. At both levels, the schedulers strive to maintain a good load balance. The unit of load balancing at the global level is the job consisting of one or more parallel tasks; at the local level it is the task.

A Reflection on IT Implementation Challenges in State Institution: A Case Study on Development Projects at Indonesian Judiciary

There are two major challenges in implementing technological solutions as part of institutional reform in development project: the alignment issues with bigger – nationwide – agenda and addressing the resistance in – usually – corrupt environment. This paper aim to provide some reflections on the implementation of information technology to reform the Indonesian judiciaries. Lessons learned from past experiences are provided, as well as a proposal to modify the classic IT-business alignment model and the use of agent based approach to determine the information technology implementation roadmap.

Inhibiting factors of Service Level Agreement (SLA) adoption in Government to Citizen (G2C) services: A case of Indonesia

To guarantee the quality of service towards citizens, government agencies have performed the implementation of Service Level Agreement (SLA) in their e-Government services. The fact in some countries applying SLA showed that there was an increase in the quality of service. In Indonesia, however, the implementation of SLA on e-Government (G2C) services is still relatively low, thus this study aims to determine the inhibiting factors in the adoption of SLA in Indonesia using DEMATEL model. Nine initial inhibiting factors were obtained from the literature review. Then, questionnaires based on DEMATEL model were designed and distributed to each echelon 2 unit that manages e-government in 32 government institutions. Ten institutions filled and returned the questionnaires. The results showed the lack of leadership support is the prime inhibiting factor in the adoption of SLA in Indonesia.