RANCANG BANGUN SISTEM INFORMASI PENGELOLAAN DATA IKM PADA DINAS PERDAGANGAN DAN PERINDUSTRIAN KOTA PALU BERBASIS WEB

ScientiCO : Computer Science and Informatics Journal

View Publication Info
 
 
Field Value
 
Title RANCANG BANGUN SISTEM INFORMASI PENGELOLAAN DATA IKM PADA DINAS PERDAGANGAN DAN PERINDUSTRIAN KOTA PALU BERBASIS WEB
 
Creator Ardiansyah, Rizka
Rahim, Mohammad Arham
 
Subject Computer Science; Informatics;
Information System; Trade and Industri Department; Data Filtering and Searching;
 
Description Small Micro and Medium Enterprise (IKM) is an industry that operates on a small or medium-scale. Palu city Trade and Industry department has a lot of the IKM data that are manually archived using a large folder and classified according to the year of making the permit or known as the Industrial Business License (SIUI). Aside from being archived manually, the IKM data are also archived electronically using Microsoft Excel. Employees who play a role in managing the IKM data has difficulty in term of searching and filtering process the IKM data for data distribution to the public, besides the number of IKM data is very large and continues to grow every year. IKM data is stored through excel files have a problem against computer viruses, which can make it become corrupt. Related parties from the office expect a system that can manage this IKM data safely, easy to operate (user-friendly), has a better interface (user experience) and fast in carrying out the data distribution process. Our proposed system has managed to run well and as expected in managing data and resolving what happened to the previous conventional method, which is about the distribution and also the safety of SMI data.
 
Publisher Fakultas Teknik, Universitas Tadulako
 
Contributor
 
Date 2020-02-09
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Original Research;
 
Format application/pdf
 
Identifier http://jurnal.untad.ac.id/jurnal/index.php/scientico/article/view/15438
 
Source ScientiCO : Computer Science and Informatics Journal; Vol 2, No 2 (2019): Scientico : November; 1-14
2620-4118
 
Language eng
 
Relation http://jurnal.untad.ac.id/jurnal/index.php/scientico/article/view/15438/pdf
 
Rights Copyright (c) 2020 ScientiCO : Computer Science and Informatics Journal
http://creativecommons.org/licenses/by-nc-sa/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library