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INDONESIA
Computer Based Information System Journal
Published by Universitas Putera Batam
ISSN : 23378794     EISSN : 26215292     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Library & Information Science
CBIS Journal diterbitkan dua kali setahun, pada bulan maret dan september. Bidang penelitian yang diterbitkan meliputi data mining, text mining, data warehouse, online analytical processing, artificial intelligence, decision support system, Mobile Application, Software engineering, Software Testing, dll.
Arjuna Subject : -
Articles 12 Documents
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Search results for , issue "Vol. 8 No. 2 (2020): CBIS Journal" : 12 Documents clear
Algoritma Classifier Untuk Menganalisis Faktor Pemilihan Hunian Tempat Tinggal elisa, erlin
Computer Based Information System Journal Vol. 8 No. 2 (2020): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v8i2.2423

Abstract

Batam City is the largest city in the RIAU archipelago, the population is also included in the island with the largest population when compared to other islands. According to data from the Central Statistics Agency (BPS), Batam City recorded the projected population growth in Batam in 2019 as many as 1,376,009 people. The development of the increasing population will gradually start to cause new problems, namely the problem of housing or housing. When viewed from the incident so far, the factors or reasons for choosing a residential place to live are not understood by the community so that when they buy, problems often occur, such as not matching the price or problems with developers such as difficult mortgage management and an unsuitable environment and many problems. other. This study will analyze the choice of residential housing with the C4.5 datamining technique and rapid mining as data testing tools, the results of this study show that the main factors for housing selection are clean water sanitation, accessibility, accessibility and price after testing the accuracy of C4.5 data. 25 sample data obtained 88.00% accuracy of the performance of this algorithm.
ANALISIS QOS VIDEO STREAMING JARINGAN WIRELESS (STUDI KASUS: TAMAN INTERNET ENGKU PUTRI BATAM) Nopriadi, Nopriadi; Arnomo, Sasa Ani
Computer Based Information System Journal Vol. 8 No. 2 (2020): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v8i2.2431

Abstract

The increasing number of internet users in Indonesia has an impact on increasing the number of users of streaming video. The increase in the number of users is based on technological developments with the emergence of mobile devices such as notebooks, tablets and smartphones equipped with internet access via wireless networks. Unlike networks using cables, the characteristics of using video streaming over wireless networks are limited when compared to those using cables. To access various applications on the internet, including video streaming, a stable internet service is needed. For this reason, a Quality of Service (QoS) measurement research is needed which is carried out at one of the wireless network provider points in the city of Batam, namely Taman Internet Engku Putri. QoS can be used to measure and analyze the stability and quality of a wireless network. The parameters used in the measurement and analysis of QoS are Throughput, Delay, Jitter and Pakect Loss which will be tested on video streaming services. The test will be carried out at certain times such as peak hours and low hours. Low hours usually range from 08.00 WIB - 15.00 WIB and rush hour usually ranges from 15.00 WIB - 21.00 WIB. The results of measurement and analysis using four QoS parameters show that the video streaming service using wireless networks in Taman Internet Engku Putri is in the medium category.

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