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Alameka, Faza
Universitas ahmad dahlan, Yogyakarta
Computer Science & IT Electrical & Electronics Engineering

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Performance Rate for Implementation of Mobile Learning in Network Budiman, Edy; Haryaka, Usfandi; Roosevelt Watulingas, Jefferson; Alameka, Faza
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (916.641 KB) | DOI: 10.11591/eecsi.v4.1069

Abstract

This paper discusses the availability of mobile networks and develops mobile learning software. The measurement Approach is testing from the user experience side to some point where potential users are located. Data clustering is divided into six location of measurement points, with different time sessions; morning, daylight, afternoon, and evening. In each time session, the measurement process is done as much as 10 times test for each the card service packs from Internet Service Providers (ISPs). The measurement process is carried out continuously for 21 days (three weeks), this is done to ensure the availability of mobile networks in the location. The  results of measurement and application testing, have given conclusion and contribution, that in of the research explains that although performance levels such as download and upload speed, latency, jitter and packet loss metrics are appropriate, not necessarily the level of network availability is appropriate. Because each parameter is influenced by a certain factor. The average value of network availability measurement experienced an internet connection failure rate on one of ISP 84.046% or as many as 10 to 11 times failed to connect from 70 attempts for internet connection.
Co-Authors Budiman, Edy Roosevelt Watulingas, Jefferson Usfandi Haryaka