scholarly journals Manfaat Data Warehouse Pada PT ABC

2013 ◽  
Vol 4 (2) ◽  
pp. 932
Author(s):  
Evaristus Didik M. ◽  
Dewi S. ◽  
Felisia L. ◽  
Winnie S.
Keyword(s):  
Data Warehouse ◽  
Information Needs ◽  
Historical Data ◽  
Current System ◽  
Strategic Decision ◽  
Analysis And Design ◽  
Alternative Solutions ◽  
Analyze Data

The purpose of this paper is to analyze the current system to find out problems faced by the company and propose alternative solutions and generate information needed by management by designing a data warehouse according to the information needs of PT ABC. This research implements analysis and design of datawarehouse by Ralph Kimball and Ross cited by Connolly and Begg, known as Nine-Step Methodology. The result obtained is a data warehouse application that may present a multidimensional historical data that can assist the management in decisions. Designing data warehouse at PT ABC makes concise the enterprise dataand can be viewed from several dimensions. It helps users analyze data for strategic decision quickly and accurately.

scholarly journals Manfaat Datawarehouse pada Rumah Sakit ABC

2012 ◽  
Vol 3 (2) ◽  
pp. 824
Author(s):  
Evaristus Didik M. ◽  
M. Awan Wibisono ◽  
Sucipto A. ◽  
Gusti Agung D. V.
Keyword(s):  
Data Warehouse ◽  
Research Method ◽  
Information Needs ◽  
Historical Data ◽  
Current System ◽  
Hospital Management ◽  
Strategic Decision ◽  
Analysis And Design ◽  
Alternative Solutions ◽  
Analyze Data

This study is objected to analyze the current system to find the problems being faced by ABC Hospital and propose alternative solutions. Additionally, it aims to generate information needed by the hospital management to design a data warehouse according to the information needs. The research method used is the analysis and design of data warehouse by Kimball and Ross cited by Connolly and Begg, known as Nine-Step Methodology. The result obtained is a data warehouse application with a multidimensional historical data that can assist the hospital management in decision making. Designing data warehouse at ABC Hospital makes enterprise data into concise and can be viewed from several dimensions that help users analyze data for strategic decision quickly and accurately.

scholarly journals SISTEM INFORMASI AKUNTANSI PENJUALAN DAN PERSEDIAAN

2008 ◽  
Vol 2 (2) ◽  
pp. 106
Author(s):  
Suryanto Suryanto
Keyword(s):  
Information Systems ◽  
Information Needs ◽  
Design Method ◽  
Current System ◽  
Accounting Information ◽  
Inventory System ◽  
Decision Making Process ◽  
Accounting Information Systems ◽  
Analysis And Design ◽  
System Requirements

The research purpose is to analyze and design the Accounting Information Systems sales and inventory system that runs as well as identifying the needs and requirements of the new system that is made to fix the weaknesses in systems and sales. The research method used is the method of analysis and design methods. Methods of analysis by analyzing the problems in the current system, identify information needs and system requirements. The design method used is the database design, form and appearance of the screen. The results to be achieved is to produce a draft of Accounting Information Systems sales and inventory system that can find solutions to existing systems with computerized systems that can help the company deal with the problems in the system is running. Conclusions obtained are that the Information System Accounting Information and the sale of inventories, which were given suggestions and solutions for computerized systems can assist company management in the decision making process because it can generate reports more accurate and faster than less efficient systems. With the use of Accounting Information Systems sales and inventories, companies can overcome the problems encountered so far.Keywords: accounting information systems, sales, inventory

scholarly journals Perancangan Sistem Informasi Administrasi pada Perusahaan Jasa Penyaluran Tenaga Kerja ke Luar Negeri: Studi Kasus pada PT XYZ

2011 ◽  
Vol 2 (2) ◽  
pp. 937
Author(s):  
Tanty Oktavia
Keyword(s):  
Information System ◽  
Labor Supply ◽  
User Interfaces ◽  
Information Needs ◽  
Business Processes ◽  
Design Method ◽  
Current System ◽  
Analysis And Design ◽  
Foreign Countries ◽  
Methods Analytical

Running the business process of labor supply is not easy since it involves several parties, and n supported by elements of the documents obtained from internal and external parties. PT XYZ as a company dealing with labor supply service to foreign countries has not had any competent information systems in supporting its business processes. Therefore, this research is expected to produce a draft of information system and database applications that can support the administrative activities of labor supply of the company. The research used both analysis and design methods. Analytical method includes survey of the current system done by observation, interviews, identification of the information needs of the survey results and identification of system requirements. The design method consists of designing a model system using UML notation, designing databases and user interfaces for supporting applications. The information system applications resulted in this research can be a competitive advantage in marketing their employment services and improve business processes of PT XYZ.

scholarly journals Rancangan Sistem Informasi Penggajian Pada Perusahaan Jasa Bengkel

2010 ◽  
Vol 1 (2) ◽  
pp. 528
Author(s):  
Angelina Permatasari ◽  
Lianawati Cristian
Keyword(s):  
Information System ◽  
Information Needs ◽  
Service Industry ◽  
Current System ◽  
Object Oriented ◽  
Design Methods ◽  
Literature Study ◽  
Analysis And Design ◽  
Existing Problems ◽  
Analysis Methods

The aim of the research is to analyze existing problems on companies in the automotive service industry, namely, analyzing the current payroll system, identifying needs, and modify and design a better payroll system accordingly. Methods used are analysis methods and design methods. Analysis methods conducted are literature study, field observation, survey on current system, needs analysis survey, identifying information needs, interview, and design methods used is Object Oriented Analysis and Design (OOAD). Obtained results are improved payroll system which has been done manually before. It can be concluded that a computerized payroll information system can solve existing problems and old procedures. 

scholarly journals THE DEVELOPMENT OF THE APPLICATION OF A DATA WAREHOUSE AT PT JKL

2012 ◽  
Vol 6 (1) ◽  
pp. 8 ◽  
Author(s):  
Choirul Huda ◽  
Rita Puspita Sari ◽  
Muharram Hasein Haekal ◽  
Tri Agustaria
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Data Warehouse ◽  
Historical Data ◽  
Decision Making Process ◽  
Literature Study ◽  
Process Methodology ◽  
The Right ◽  
A Company ◽  
Analyze Data

One rapidly evolving technology today is information technology, which can help decision-making in an organization or a company. The data warehouse is one form of information technology that supports those needs, as one of the right solutions for companies in decision-making. The objective of this research is the development of a data warehouse at PT JKL in order to support executives in analyzing the organization and support the decision-making process. Methodology of this research is conducting interview with related units, literature study and document examination. This research also used the Nine Step Methodology developed by Kimball to design the data warehouse. The results obtained is an application that can summarize the data warehouse, integrating and presenting historical data in multidimensional. The conclusion from this research is the data warehouse can help companies to analyze data in a flexible, fast, and effective data access.Keywords: Data Warehouse; Inventory; Contract Approval; Inventory; Dashboard

scholarly journals DATA MART DESIGN IN BKPP BANDUNG USING FROM ENTERPRISE MODELS TO DIMENSIONAL MODELS METHOD

2020 ◽  
Vol 5 (2) ◽  
pp. 279-284
Author(s):  
Amalia Utami ◽  
Bayu Rimba Pratama ◽  
Septian Rheno Widianto
Keyword(s):  
Data Warehouse ◽  
Data Storage ◽  
Information Needs ◽  
Historical Data ◽  
Design Method ◽  
Data Mart ◽  
Enterprise Models ◽  
Dimensional Models ◽  
Resource Data ◽  
Single Data

The data warehouse is a single data storage that is complete and consistent with subject-oriented, integrated, non-volatile, and time-variant characteristics that can be used to support decisions. While Data mart is a subset of a data warehouse that supports the information needs of certain departments or business process functions. Badan Kepegawaian, Pendidikan Pelatihan (BKPP) of Bandung Municipality has a history of employee mutation transactions that have not been optimally utilized so it will be very useful if the data can be made into a data mart. This data mart development method uses the From Enterprise Models to Dimensional Models method as its design method and the Bottom-Up Approach as an approach in developing a data mart. This data mart developed using the PostgreSQL database and the PHP language. The purpose of this research is to develop human resource data mart by optimizing the utilization of historical data from employee mutation transactions. The results of this research are human resources data mart that accommodates historical data on employee mutation transactions and produces information that is useful for the Top Management to support the making decision.

scholarly journals Model Data Warehouse dan Business Intelligence untuk Meningkatkan Penjualan pada PT. S

2011 ◽  
Vol 2 (1) ◽  
pp. 418
Author(s):  
Rudy Rudy ◽  
Natalia Limantara
Keyword(s):  
Data Warehouse ◽  
Business Intelligence ◽  
Information Needs ◽  
Historical Data ◽  
Database System ◽  
Model Data ◽  
Strategic Decisions ◽  
Decision Making Processes ◽  
Points Of View ◽  
Intelligence Application

Today a lot of companies use information system in every business activity. Every transaction is stored electronically in the database transaction. The transactional database does not help much to assist the executives in making strategic decisions to improve the company competitiveness. The objective of this research is to analyze the operational database system and the information needed by the management to design a data warehouse model which fits the executive information needs in PT. S. The research method uses the Nine-Step Methodology data warehouse design by Ralph Kimball. The result is a data warehouse featuring business intelligence applications to display information of historical data in tables, graphs, pivot tables, and dashboards and has several points of view for the management. This research concludes that a data warehouse which combines multiple database transactions with business intelligence application can help executives to understand the reports in order to accelerate decision-making processes. 

Applying Deep Learning to Audit Procedures: An Illustrative Framework

2019 ◽  
Vol 33 (3) ◽  
pp. 89-109 ◽  
Author(s):  
Ting (Sophia) Sun
Keyword(s):  
Decision Making ◽  
Deep Learning ◽  
Data Warehouse ◽  
Visual Recognition ◽  
Prediction Models ◽  
Historical Data ◽  
Structured Data ◽  
Text Understanding ◽  
Audit Data ◽  
Learning Functions

SYNOPSIS This paper aims to promote the application of deep learning to audit procedures by illustrating how the capabilities of deep learning for text understanding, speech recognition, visual recognition, and structured data analysis fit into the audit environment. Based on these four capabilities, deep learning serves two major functions in supporting audit decision making: information identification and judgment support. The paper proposes a framework for applying these two deep learning functions to a variety of audit procedures in different audit phases. An audit data warehouse of historical data can be used to construct prediction models, providing suggested actions for various audit procedures. The data warehouse will be updated and enriched with new data instances through the application of deep learning and a human auditor's corrections. Finally, the paper discusses the challenges faced by the accounting profession, regulators, and educators when it comes to applying deep learning.

scholarly journals Quality Assurance in Knowledge Data Warehouse

2017 ◽  
Author(s):  
Andysah Putera Utama Siahaan
Keyword(s):  
Decision Making ◽  
Knowledge Discovery ◽  
Data Warehouse ◽  
Noisy Data ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Quality Of Information ◽  
External Data ◽  
Existing Data

Knowledge discovery is the process of adding knowledge from a large amount of data. The quality of knowledge generated from the process of knowledge discovery greatly affects the results of the decisions obtained. Existing data must be qualified and tested to ensure knowledge discovery processes can produce knowledge or information that is useful and feasible. It deals with strategic decision-making for an organization. Combining multiple operational databases and external data create the data warehouse. This treatment is very vulnerable to incomplete, inconsistent, and noisy data. Data mining provides a mechanism to clear this deficiency before finally stored in the data warehouse. This research tries to give technique to improve the quality of information in the data warehouse.

scholarly journals Business intelligence for social media interaction in the travel industry in Indonesia

2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Michael Yulianto ◽  
Abba Suganda Girsang ◽  
Reinert Yosua Rumagit
Keyword(s):  
Social Media ◽  
Data Warehouse ◽  
Business Intelligence ◽  
Marketing Activity ◽  
Social Media Data ◽  
Current Technology ◽  
Media Interaction ◽  
Travel Industry ◽  
Media Data ◽  
Analyze Data

Electronic ticket (eticket) provider services are growing fast in Indonesia, makingthe competition between companies increasingly intense. Moreover, most of them have the sameservice or feature for serving their customers. To get back the feedback of their customers, manycompanies use social media (Facebook and Twitter) for marketing activity or communicatingdirectly with their customers. The development of current technology allows the company totake data from social media. Thus, many companies take social media data for analyses. Thisstudy proposed developing a data warehouse to analyze data in social media such as likes,comments, and sentiment. Since the sentiment is not provided directly from social media data,this study uses lexicon based classification to categorize the sentiment of users’ comments. Thisdata warehouse provides business intelligence to see the performance of the company based ontheir social media data. The data warehouse is built using three travel companies in Indonesia.As a result, this data warehouse provides the comparison of the performance based on the socialmedia data.

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