Penerapan Basis Data Terpartisi Dalam Rancang Bangun Sistem Penggajian-Pengupahan Dengan Model Jaringan Client-Server
| Main Authors: | Anto, Yulis Dwi, Wibowo, Januar, Susilo, Tegar Heru |
|---|---|
| Format: | Proceeding PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2011
|
| Subjects: | |
| Online Access: |
https://repository.dinamika.ac.id/id/eprint/482/1/2011-NMC-13.pdf https://repository.dinamika.ac.id/id/eprint/482/ |
| ctrlnum |
482 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>https://repository.dinamika.ac.id/id/eprint/482/</relation><title>Penerapan Basis Data Terpartisi Dalam Rancang Bangun Sistem Penggajian-Pengupahan Dengan Model Jaringan Client-Server</title><creator>Anto, Yulis Dwi</creator><creator>Wibowo, Januar</creator><creator>Susilo, Tegar Heru</creator><subject>650 Management & auxiliary services</subject><description>Managing data transaction of employees such as check clock, wages, salaries, income tax, honorarium, commission, gift will become a serious difficult task if involving large quantity employees. You can imagine how busy you are if you have to take care of about 3000 or more data of employees every month with only Microsoft Excel as your tool, you will have more difficulties if you have to take care of them every day. Definitely you need better solution, and because of that here I presenting to you this wages and salaries management system with client server. The use age of client server database model will make server become center of data transaction and requests which mean make server responses will become more and more slower as numbers of client requests increasing. So system will need better strategy to avoid time consuming process. Because server hold large number of historical data, it would be time consuming if user of system try to querying large sum of data query. One of strategy that will be applied to the server that we hope could become as better strategy is database partitioning. Partitioning if the way to divide large number of data table into smaller segments, so hopefully within smaller data to probe for requested query then server will finish the task with more time efficiently.</description><date>2011-09-30</date><type>Journal:Proceeding</type><type>PeerReview:PeerReviewed</type><type>Book:Book</type><language>eng</language><identifier>https://repository.dinamika.ac.id/id/eprint/482/1/2011-NMC-13.pdf</identifier><identifier> Anto, Yulis Dwi, Wibowo, Januar and Susilo, Tegar Heru (2011) Penerapan Basis Data Terpartisi Dalam Rancang Bangun Sistem Penggajian-Pengupahan Dengan Model Jaringan Client-Server. In: Seminar Nasional Sistem & Teknologi Informasi (SNASTI) 2011, 30 September 2011, Surabaya. </identifier><recordID>482</recordID></dc>
|
| language |
eng |
| format |
Journal:Proceeding Journal PeerReview:PeerReviewed PeerReview Book:Book Book |
| author |
Anto, Yulis Dwi Wibowo, Januar Susilo, Tegar Heru |
| title |
Penerapan Basis Data Terpartisi Dalam Rancang Bangun Sistem Penggajian-Pengupahan Dengan Model Jaringan Client-Server |
| publishDate |
2011 |
| topic |
650 Management & auxiliary services |
| url |
https://repository.dinamika.ac.id/id/eprint/482/1/2011-NMC-13.pdf https://repository.dinamika.ac.id/id/eprint/482/ |
| contents |
Managing data transaction of employees such as check clock, wages, salaries, income tax, honorarium, commission, gift will become a serious difficult task if involving large quantity employees. You can imagine how busy you are if you have to take care of about 3000 or more data of employees every month with only Microsoft Excel as your tool, you will have more difficulties if you have to take care of them every day. Definitely you need better solution, and because of that here I presenting to you this wages and salaries management system with client server. The use age of client server database model will make server become center of data transaction and requests which mean make server responses will become more and more slower as numbers of client requests increasing. So system will need better strategy to avoid time consuming process. Because server hold large number of historical data, it would be time consuming if user of system try to querying large sum of data query. One of strategy that will be applied to the server that we hope could become as better strategy is database partitioning. Partitioning if the way to divide large number of data table into smaller segments, so hopefully within smaller data to probe for requested query then server will finish the task with more time efficiently. |
| id |
IOS16212.482 |
| institution |
Universitas Dinamika |
| institution_id |
3669 |
| institution_type |
library:university library |
| library |
Perpustakaan Universitas Dinamika |
| library_id |
4565 |
| collection |
Repository Universitas Dinamika |
| repository_id |
16212 |
| city |
KOTA SURABAYA |
| province |
JAWA TIMUR |
| repoId |
IOS16212 |
| first_indexed |
2021-10-29T02:42:30Z |
| last_indexed |
2021-10-29T02:42:30Z |
| recordtype |
dc |
| merged_child_boolean |
1 |
| _version_ |
1714920995968516096 |
| score |
17.60897 |