1Program Studi Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional, Indonesia
2Department of Agricultural Industrial Technology, Bogor Agricultural University, Kampus IPB, Jl. Raya Dramaga, Babakan, Kec. Dramaga, Kota Bogor, Jawa Barat 16680, Indonesia
3Department of Computer Science, Bogor Agricultural University, Kampus IPB, Jl. Raya Dramaga, Babakan, Kec. Dramaga, Kota Bogor, Jawa Barat 16680, Indonesia
4 Department of Informatic, Universitas Nasional, Jl. Sawo Manila No.61, RT.14/RW.7, Pejaten Bar., Kec. Ps. Minggu, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta 12520, Indonesia
BibTex Citation Data :
@article{JTSISKOM14268, author = {Raden Firzatullah and Taufik Djatna and Annisa Annisa and Andrianingsih Andrianingsih}, title = {Spatial Skyline Query Based on Surrounding Environment Untuk Data Streaming Menggunakan Apache-Spark}, journal = {Jurnal Teknologi dan Sistem Komputer}, volume = {10}, number = {2}, year = {2022}, keywords = {Skyline Query; Data Streaming; Spatial Object; Apache-Spark; Cluster Computing}, abstract = {Previous research on Spatial Skyline Query Based on Surrounding Environment left a challenge in finding skyline objects that support the use of mobile devices. This study introduces a method that allows users to search for spatial objects dynamically. Cloud-based streaming data services are currently available to support the dynamic search of spatial skyline objects. Under these conditions, streaming data requires a longer processing time. This study aims to examine the effectiveness and efficiency of Apache-Spark in developing Spatial Skyline Query Based on Surrounding Environment in processing streaming data. Further implementation of the developed algorithm can provide better location access for users on mobile devices. Comparative analysis of algorithm execution time is performed by comparing algorithm processing on a single processor and cluster computing using various evaluation parameters. The test results on each parameter show that the computation time of the proposed algorithm on a single computation is not as good as the previous algorithm. However, in cluster computing, the proposed algorithm is superior}, issn = {2338-0403}, pages = {72--79} doi = {10.14710/jtsiskom.2022.14268}, url = {https://jtsiskom.undip.ac.id/article/view/14268} }
Refworks Citation Data :
Article Metrics:
Last update:
Last update: 2024-11-04 15:42:54
Starting from 2021, the author(s) whose article is published in the JTSiskom journal attain the copyright for their article and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. By submitting the manuscript to JTSiskom, the author(s) agree with this policy. No special document approval is required.
The author(s) guarantee that:
The author(s) retain all rights to the published work, such as (but not limited to) the following rights:
Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. JTSiskom will not be held responsible for anything arising because of the writer's internal dispute. JTSiskom will only communicate with correspondence authors.
Authors should also understand that their articles (and any additional files, including data sets and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. JTSiskom allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and JTSiskom to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.