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Nurul Fahmi
Graduate School of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya
Computer Science & IT

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Journal : EMITTER International Journal of Engineering Technology

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An Embedded System for applying High Performance Computing in Educational Learning Activity Irene Erlyn Wina Rachmawan; Nurul Fahmi; Edi Wahyu Widodo; Samsul Huda; M. Unggul Pamenang; M. Choirur Roziqin; Andri Permana W.; Stritusta Sukaridhoto; Dadet Pramadihanto
EMITTER International Journal of Engineering Technology Vol 4 No 1 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1553.613 KB) | DOI: 10.24003/emitter.v4i1.113

Abstract

HPC (High Performance Computing) has become more popular in the last few years. With the benefits on high computational power, HPC has impact on industry, scientific research and educational activities. Implementing HPC as a curriculum in universities could be consuming a lot of resources because well-known HPC system are using Personal Computer or Server. By using PC as the practical moduls it is need great resources and spaces.  This paper presents an innovative high performance computing cluster system to support education learning activities in HPC course with small size, low cost, and yet powerful enough. In recent years, High Performance computing usually implanted in cluster computing and require high specification computer and expensive cost. It is not efficient applying High Performance Computing in Educational research activiry such as learning in Class. Therefore, our proposed system is created with inexpensive component by using Embedded System to make High Performance Computing applicable for leaning in the class. Students involved in the construction of embedded system, built clusters from basic embedded and network components, do benchmark performance, and implement simple parallel case using the cluster.  In this research we performed evaluation of embedded systems comparing with i5 PC, the results of our embedded system performance of NAS benchmark are similar with i5 PCs. We also conducted surveys about student learning satisfaction that with embedded system students are able to learn about HPC from building the system until making an application that use HPC system.
Adaptive Sleep Scheduling for Health Monitoring System Based on the IEEE 802.15.4 Standard Nurul Fahmi; M. Udin Harun Al Rasyid; Amang Sudarsono
EMITTER International Journal of Engineering Technology Vol 4 No 1 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2836.872 KB) | DOI: 10.24003/emitter.v4i1.115

Abstract

In the recent years, Wireless Sensor Networks (WSNs) have become a very popular technology for research in various fields. One of the technologies which is developed using WSN is environmental health monitoring. However, there is a problem when we want to optimize the performance of the environmental health monitoring such as the limitation of the energy. In this paper, we proposed a method for the environmental health monitoring using the fuzzy logic approach according to the environmental health conditions. We use that condition to determine the sleep time in the system based on IEEE 802.15.4 standard protocol. The main purpose of this method is to extend the life and minimize the energy consumption of the battery. We implemented this system in the real hardware test-bed using temperature, humidity, CO and CO2 sensors. We compared the performance without sleep scheduling, with sleep scheduling and adaptive sleep scheduling. The power consumption spent during the process of testing without sleep scheduling is 52%, for the sleep scheduling is 13%, while using the adaptive sleep scheduling is around 7%. The users also can monitor the health condition via mobile phone or web-based application, in real-time anywhere and anytime.
Co-Authors Amang Sudarsono, Amang Andri Permana W. Dadet Pramadihanto Edi Wahyu Widodo Irene Erlyn Wina Rachmawan M Udin Harun Al Rasyid, M Udin Harun M. Choirur Roziqin M. Unggul Pamenang Samsul Huda Stritusta Sukaridhoto