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Maria Lamury
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INDONESIA
Journal of Applied Information, Communication and Technology
Published by Swiss German University
ISSN : 23551771     EISSN : 27234827     DOI : https://doi.org/10.33555/
Core Subject : Science,
Computer Science & IT
Journal of Applied Information, Communication and (eJAICT) welcomes full research papers in the area of Information and Communication Technology (ICT). The journal publishes review and research result on the frontier research, development, and application in the scope of ICT. The scope of the journal includes but not limited to: 1. Computer Network and Telecommunication 2. Wireless & Mobile Computing 3. Internet Technology 4. Multimedia System 5. Software Engineering 6. Computer Science 7. Information System and Knowledge Management 8. Data Analytics and Data Mining 9. Cyber and Computer Security
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 3 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2017)" : 3 Documents clear
Analysis, Design and Implementation of a Digital Marketing Strategy for Ecommerce Sukandar, Bernhart Farras; Galinium, Maulahikmah; Mukadis, Panji
Journal of Applied Information, Communication and Technology Vol. 4 No. 1 (2017)
Publisher : Swiss German University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/ejaict.v4i1.80

Abstract

This paper is an Analysis, Design and Implementation of a Digital Marketing Strategy for eCommerce. Marketers are faced with new challenges and opportunities within this digital age. Digital marketing is the utilization of electronic media by the marketers to promote the products or services into the market. The main objective of digital marketing is attracting users and allowing them to interact with the brand through digital media. This article focuses on the importance of digital marketing for both marketers and consumers. We examine the effect of digital marketing on MerekIndonesia.com. This study has described multiple channels of digital marketing, effectiveness of it and the impact it has on MerekIndonesia.com visitor. The examined sample consists of six digital marketing channel to prove the effectiveness of digital marketing. Collected data has been analyzed with the help of various statistical tools and techniques.
Hadoop Configuration Tuning for Performance Optimization Christian, Christian; I Eng, Kho; Ipung, Heru Purnomo
Journal of Applied Information, Communication and Technology Vol. 4 No. 1 (2017)
Publisher : Swiss German University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/ejaict.v4i1.81

Abstract

Configuration parameter tuning is an essential part of the implementation of Hadoop clusters. Each parameter in a configuration plays a role that impacts the ov erall performance of the cluster. Therefore, we need to learn the characteristics of said parameter and understand the impact in hardware utilization in order to achieve optimal configuration. In this paper, we conducted experiments that includes modifying configuration and performed benchmark to find out if there is any performance gain. TeraSort is the program that runs the benchmark, we measure the time needed to complete the sort of the set of data and the CPU utilization during the benchmark. We conclu de that from our experiments we can see significant performance improvements by tuning with the configurations. However, the results may vary between different cluster configuration.
Delivering Sustainable Water Systems Using Kalman Filter and Statistical Approach Loebis, Dedy
Journal of Applied Information, Communication and Technology Vol. 4 No. 1 (2017)
Publisher : Swiss German University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33555/ejaict.v4i1.82

Abstract

This paper presents the results of work undertaken to develop and test contrasting data analysis approaches for the detection of bursts/leaks and other anomalies within wate r supply systems at district meter area (DMA)level. This was conducted for Yorkshire Water (YW) sample data sets from the Harrogate and Dales (H&D), Yorkshire, United Kingdom water supply network as part of Project NEPTUNE EP/E003192/1 ). A data analysissystem based on Kalman filtering and statistical approach has been developed. The system has been applied to the analysis of flow and pressure data. The system was proved for one dataset case and have shown the ability to detect anomalies in flow and pres sure patterns, by correlating with other information. It will be shown that the Kalman/statistical approach is a promising approach at detecting subtle changes and higher frequency features, it has the potential to identify precursor features and smaller l eaks and hence could be useful for monitoring the development of leaks, prior to a large volume burst event.

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