IMPLEMENTASI DATATABLES SERVER-SIDE UNTUK MEMPERCEPAT LOAD HALAMAN PADA APLIKASI E-COMMERCE
Abstract
Large amounts of data are a new challenge in Industry 4.0 at this time, where the data must be accessed and processed quickly by computers. Large data causes the data presentation process to be very long because all data must be processed in one go. So that we need a special technique so that the presentation of information runs quickly even though the data that must be subject to the number is very large. In general, the website requsets the server, if the server data system exists, the data will be sent by the server to the client according to the number of existing data processes. The more data sent by the server, the longer it will take the client to display existing data. In this research, we will try to use server-side processing datatables where all processes will be carried out on the server side and data is sent periodically to the client according to the input request or keyword. The conclusion of this research is that the data speed using server side processing techniques is 7,9% of client side processing.References
Alhaq, M. B., & Sujarwo, A. (2021). UTILISASI PENGOLAHAN PEMROSESAN DATA UNTUK MENINGKATKAN PERFORMA APLIKASI, 2(1). Retrieved from https://journal.uii.ac.id/AUTOMATA/article/view/17358/10892
D. Gope, D. J. (2017). Architectural support for server-side PHP processin. Annual International Symposium on Computer Architecture.
Ghandour, A. (2015). BIG DATA DRIVEN E-COMMERCE ARCHITECTURE. International Journal of Economics.
Haviluddin, A. T. (2016). Aplikasi Program PHP & Mysql. Samarinda: Mulawarman University Press.
Husen, A. R. (2018). IMPLEMENTASI KOMUNIKASI FULL DUPLEX MENGGUNAKAN WEB. Jurnal SIMETRIS.
Novendri, M. S. (2019). APLIKASI INVENTARIS BARANG PADA MTS NURUL ISLAM . Lentera Dumai.
Rianto, R. (2019). Implementasi DataTables Sever-Side Processing Pada Aplikasi Surat-Surat dan Iventaris Lab STTA Yogyakarta. Jurnal Dinamika Informatika, 8(1), 15–29. Retrieved from https://www.researchgate.net/profile/Rianto-Rianto-2/publication/333161879_Implementasi_DataTables_Sever-Side_Processing_Pada_Aplikasi_Surat-Surat_dan_Iventaris_Lab_STTA_Yogyakarta/links/5cde592fa6fdccc9ddb56346/Implementasi-DataTables-Sever-Side-Processing-Pada-Aplikasi-Surat-Surat-dan-Iventaris-Lab-STTA-Yogyakarta.pdf
Sianipar, R. H. (2015). Pemrograman Javascript. BANDUNG: Informatika.
Sulastri, H., Rahmatulloh, A., & Hidayat, D. K. (2019). SERVER-SIDE PROCESSING TECHNIQUES FOR OPTIMIZING THE SPEED. Jurnal Pilar Nusa Mandiri, 15(1), 47–52. Retrieved from http://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/62/56
Suryaningrat, I. G. N. J. (2016). Perancangan Sistem Informasi Wisata Kuliner Berbasis Web Dengan Menggunakan Ajax dan Code Igniter. Jurnal Sistem Dan Informatika, 10(2), 1–8. Retrieved from https://jsi.stikom-bali.ac.id/index.php/jsi/article/view/52
Copyright (c) 2021 JIKA (Jurnal Informatika)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- That it is not under consideration for publication elsewhere,
- That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with International Journal of Advances in Intelligent Informatics agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.Â
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Licensing for Data Publication
International Journal of Advances in Intelligent Informatics use a variety of waivers and licenses, that are specifically designed for and appropriate for the treatment of data:
Open Data Commons Attribution License, http://www.opendatacommons.org/licenses/by/1.0/ (default)
Creative Commons CC-Zero Waiver, http://creativecommons.org/publicdomain/zero/1.0/
Open Data Commons Public Domain Dedication and Licence, http://www.opendatacommons.org/licenses/pddl/1-0/
Other data publishing licenses may be allowed as exceptions (subject to approval by the editor on a case-by-case basis) and should be justified with a written statement from the author, which will be published with the article.
Open Data and Software Publishing and Sharing
The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.
Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.
Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.
