International Journal of Computer Techniques

5-13

Authors: Huanjie Li

On edge computing, mobile devices can offload some computing intensive tasks to the cloud so that the time delay and battery losses can be reduced. Different from cloud computing, an edge computing model is under the constraint of radio transmitting bandwidth, power and etc. With regard to most models in presence, each user is assigned to a single mission, transmitting power or local CPU frequency on mobile terminals is deemed to be a constant. Furthermore, energy consumption has a positive correlation with the above two parameters. In a context of multitask, such values could be increased or reduced according to workload to save energy. Additionally, the existing offloading methods are inappropriate if all the compute densities of multiple tasks are high. In this paper, a single-user multi-task with high computing density model is proposed and partial task is offloaded when use the different offload algorithm. Simulated annealing algorithm is the best method to select offloading tasks, which can enhance the offloading ratio and save energy consumption.

20-24

Authors: Fifit Alfiah, Saepudin, Sutarya, Indra Purnama, Ryan Anggara

This paper presents a study of image compression methods algorithm for compare the best techniques on lossy image compression. One of the major difficulties encountered in compression for lossy imagethat how to shield quality of image in a way that the compressed image constantlyidentical to the authentic, different from the types of methods that exist in the lossless image that can maintain the quality of the images authenticity. In compressing images there are also many methods that can be used with various algorithms such as Huffman code, Chandhuri and Hocquengham (BCH) Codes, Multiple-Tables Arithmetic Code, Fractal Coding, Block Truncation Coding and many other algorithms. In Transform domain, the image is for gain a rarely coefficient matrix using DWT, DCT and FFT. DCT method is almost similar to discrete Fourier transform (DFT), which works to convert a signal or image by a spatial domain into a frequency domain. Because amount variety of images, Binary Image, RGB image, image intensity. Then adopt compressing an image to decrease the size of the data ortechniques to subtract the amount of bits required to reflect an images. Based on the results of this study using 3 methods that can perform compression image with different compression results with each method (DCT, FFT and DWT) as much as 4 variations of measurement percentage of image compression of each method starting from compressing image with size 10%, 30%, 50% and 70%. Comparing the three methods with four different variations of presentation measurement can give very accurate and clear results which method is best for compression the image of the present percentage size.

30-35

Authors: Jonathan, Sarif Hidayat, Daril Willianson, Greg Martin, Hari Suryantoro

Wireless technologies are now taking 4G technology that has been used arbitrarily countries. However, due to the development of mobile devices and mobile communication services on, then there are some that can not be handled by 4G technologies such as energy consumption is very high in this technology. The development of mobile world that continues to grow, the demand for data access becomes very high. Since the development of some researchers that conducted research for the wireless systems of the fifth generation to handle problems that occur on 4G. This article describes the design architecture of 5G technologies and discuss various promising technologies for 5G wireless communication systems, such as MIMO large, energy-efficient communications, cognitive radio networks, and the visible light communication. future challenges facing the potential of technology are also discussed.

44 - 49

Authors: Derisma, Hilda Rahmiati, Andrizal

The research regarding the creation of data pattern of kerosene-mixed gasoline by using gas sensor has been conducted through the utilization of fast fourier transform (FFT) method. This research is aimed to create data pattern of both pure and kerosene-mixed gasoline. The composition of kerosene in gasoline is varied by 10%, 20%, 30%, 40%, and 50%. The FFT method test is conducted to create pattern from the detected gas. The sensor of TGS 2620 Gas has low sensitivity towards the change of steam/vapor of kerosene-mixed gasoline. The data sample of pure gasoline and kerosene-mixed gasoline have dominant frequency values that frequently occur in 17-31 frequency range, while the entire random samples that used are identified to have been mixed with kerosene.

58 - 64

Authors: R. Augasthega, R. Ravi

Many industries use heating for the production process. But the problem is that this heater must be controlled to its temperature so that the hot temperature in accordance with the desired, because if uncontrolled heat will lead to overheating and over pressure that will cause the production process to fail. To control the heater then used the on-off method and PID method which is a method to determine the precision of an instrumentation system with the characteristics of feedback on the system. On the control result using the on-off method to address the time when the process of heating water from the initial temperature of 36.69 to the desired temperature value 73 that is 8 minutes 14 seconds while in the heating process using PID from the initial temperature of 29.56 to the desired temperature value 73 that is 19 minutes 14 seconds. Temperature value can be seen in the web display either in the form of numbers with units of degrees Celsius or in the form of graphs. While the result of testing tool to user acceptance / respondent shows that variable of PU (X1) and variable of PEU (X2) to receipt of BITU (Y) user is acceptable. This is indicated by the reliability test with the value of croncbach's alpha PU 0.759> 0.60, PEU 0.669> 0.60, PU and PEU validity show r table value higher than t table, multiple linear regression tests PU (X1) and PEU (X2 ) to the receipt of BITU (Y) users shows significant value 0,000 <0.05, the summary summary model shows the value () = 0.262 and anova attributes the Sig value. F of 0.000 <α = 0.05.