Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Journal of Engineering and Applied Technology
Harun Usman Ghifarsyam
Beijing Jiaotong University
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Scheduling design of Jakarta-Cikampek II elevated toll road project (P.186 – P.187) Abdul Khalim; Harun Usman Ghifarsyam; Nikko Rozy; Faqih Ma’arif
Journal of Engineering and Applied Technology Vol 1, No 2 (2020): (August)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jeatech.v1i2.34957

Abstract

The key to achieving effective and efficient development goals is by increasing the quality of construction management by collecting up-to-date data about the project's resources, mainly about productivity. In this research space, productivity will be discussed, including human resources and their management. The case study is the project of Jakarta-Cikampek II Elevated Toll Road. This project was a developing project to improve the capacity of the existing Jakarta-Cikampek toll road. This elevated structure will be built right in the area (median and side edge) of the existing toll road, making it interesting to discuss how the construction is carried out. Scheduling analysis in this study was carried out at points P.186 to P.187 of the construction project. The analysis includes identifying the productivity index of labor resources and equipment that has a major role in shaping the scheduling concept. The concept will be performed by determining a network diagram that will use the Critical Path Method (CPM) rule. The data used in this analysis are construction drawing, s-curve plan, worker data, weekly job plan, work method, and some interviews with worker and field project manager. These results obtained the large productivity of workers and equipment, and the duration required to complete the construction starting prom point P.186 to P.187 is 248 working days
Optimize Image Processing Algorithm on ARM Cortex-A72 and A53 Rachmat Muwardi; Mirna Yunita; Harun Usman Ghifarsyam; Hendy Juliyanto
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 8, No 3 (2022): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i3.24457

Abstract

This work presents a technique to optimize processing image algorithms. The increasing demand for video applications like context-aware computing on mobile embedded systems requires the use of computationally intensive image processing algorithms. The system engineer has the mandate to optimize them so as to meet real-time deadlines. A methodology to take advantage of the asymmetric dual-core processor, which includes an ARM supported by shared memory, is presented with implementation details. The target platform chosen is the NanoPi M4V2. It has a dual-core and quad-core architecture with an ARM Cortex-A72 and Cortex-A53. The basic image correlation algorithm is chosen for benchmarking as it finds widespread application for various template-matching tasks such as face recognition. The basic algorithm prototypes conform to OpenCV, a popular computer vision library. OpenCV algorithms can be easily ported to the ARM core, which runs a popular operating system such as Linux. The algorithms are tested on a variety of images, and performance results are presented, measuring the speedup obtained due to dual-core and quad-core implementation. A major advantage of this approach is that it allows the ARM processor to perform important real-time tasks.
Co-Authors Abdul Khalim Faqih Ma’arif Hendy Juliyanto Mirna Yunita Nikko Rozy Rachmat Muwardi