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Jakarta, Indonesia

Binus University, formerly Universitas Bina Nusantara, is a university located in Jakarta, Indonesia.The university was founded on October 21, 1974 as the "Modern Computer Course," a short-term computer training institute, and evolved into a full-scale university with undergraduate, graduate, and postgraduate degree programs. It was established as Bina Nusantara University on August 8, 1996. Wikipedia.


Gunawan F.E.,Binus University
Engineering Fracture Mechanics | Year: 2011

This paper reports experimental results of the debonding propagation of bundled-fibers specimens subjected to a tensile stress wave. In addition, the paper also presents a dynamic debonding model for the problem on the basis of the cohesive zone model, and verifies the model by comparing the predicted debonding to the experimental data. The established numerical model is used to study the propagation mode of the debonding, and the result suggests that in this particular specimen design and loading condition, the debonding initiated in a mixed mode condition. However, the mode II quickly increased and dominated the mode I during an early debonding propagation up to certain extend where the mode mixity became constant. © 2011 Elsevier Ltd. Source


Gunawan F.E.,Binus University
Journal of Sound and Vibration | Year: 2012

In this paper, we study the Levenberg-Marquardt algorithm with the trust region strategy to iteratively solve the ill-posed impact-force reconstruction problem. This particular problem is interesting because the impact-force particularly those of the pulse-type are difficult to be measured directly. In the present approach, the necessity of regularization is enforced by means of the trust region approach. This study mainly contributes a systematic approach to locate the optimal solution by tracking the Levenberg-Marquardt parameter. The proposed method is evaluated by solving two typical problem existed in the inverse problem of the impact-force reconstruction. Reasonable accurate impact-forces were produced from the both evaluations. © 2012 Elsevier Ltd. Source


Gunawan F.E.,Binus University
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | Year: 2012

The paper discusses the traffic dynamics in microscopic level and analyzes the dynamics characteristics of the traditional Gazis-Herman-Rothery model, the optimal velocity model with delay, and the intelligent driver model. An essential feature differentiating those models is that the traditional Gazis-Herman-Rothery model only governs the vehicle dynamics in the car-following state, but the other two models encompass larger interaction state including the free-flow state and the acceleration from the vehicle initial state. From this study, it can be concluded; (i) the optimal velocity model and intelligent driver model are more complete than the traditional model; (ii) the existing optimal velocity model may produce an unrealistic vehicle interaction; (iii) the optimal velocity model with a realistic delay can produce a stable interaction, and (iv) the intelligent driver model still needs further development particularly to take into account the driver delay which is an important aspect in the traffic dynamics on the microscopic level, and finally, (v) those three models may produce similar dynamics characteristics. Source


Soewito B.,Binus University
International Journal of Software Engineering and its Applications | Year: 2015

The purpose of this paper was designing a fall detection algorithm as a solution so victims who are unable to move after accident could get help. Data were gathered by experimenting using accelerometer to find standby threshold and fall threshold. Data for standby threshold were processed by calculating all the differences and thus use the maximum difference for a threshold. Data for fall threshold were also processed by calculating all the differences and thus use the minimum difference from activities that were ended with a fall. Those thresholds were implemented into prototype application and tested again to find its accuracy. Results were 1 on sensitivity and 0.96 on specificity. It could be concluded that this fall detection algorithm has a 0.98 on its accuracy. © 2015 SERSC. Source


Wajong A.M.R.,Binus University
International Journal of Software Engineering and its Applications | Year: 2015

Performance dashboard is one of the way to improve a company's performance, a hospital in this study, due to the ease it provides for the executive entities of the hospital in measuring, supervising, and evaluating the performance of the hospital based on the Key Performance Indicator (KPI). The information requried by the executive entities in making a strategic decision involves numerous separate source of data. By implementing performance dashboard, the existing data sources will be consolidated and demonstrated in an informative visual form through an interface screen in order to allow the executives to easily comprehend and analyze those data, therefore assisting the process of strategic decision making. Currently, a lot of hospitals uses performance dashboard. By applying it, hospitals are capable of identifying the strengths and weaknesses pertaining to the them, and eventually, use such information to improve the performance. By an increase in performance, the loyalty of patients will be maintained and the hospital's competitiveness will also increase. © 2015 SERSC. Source

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