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Journal : IJAIT (International Journal of Applied Information Technology)

Proposed IT Governance at Hospital Based on COBIT 5 Framework Heru Nugroho
IJAIT (International Journal of Applied Information Technology) Vol 01 No 01 (May 2017)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v1i02.875

Abstract

Information Technology (IT) Governance in Hospitals describe how to create an IT governance process that increases the number of IT projects that support the strategy of a hospital and are completed on-time and on- budget. Good IT governance aligns decisions about the use of IT with desired behaviors and organizational objectives. The existence of good IT governance at Hospitals is expected to provide improvement on quality,functionality, and ease of use of the service. Enablers in COBIT 5 framework can be applie in practical situations and can be used to implement effective and efficient information governance and data management of IT governance for Hospital. In this paper, we propose IT governance in Hospital base on COBIT 5 framework. In the preparation of the proposed IT governance model, the enablers that exist in COBIT 5 framework is used as a determining factor. For performing the optimization of IT services to achieve the normal vision andmission uses base on a model of IT governance for a hospital.
Application for Marketplace Agricultural Product Heru Nugroho; Robbi Hendriyanto; Kautsar Tisamawi
IJAIT (International Journal of Applied Information Technology) Vol 02 No 02 (November 2018)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v2i02.1286

Abstract

Farmers empowerment is an effort to improve farmers' ability to conduct better farming through education and training, counseling and mentoring, development of Agricultural products and marketing system, consolidation and guarantee agricultural land area, ease of access of science, technology and information, and institutional strengthening. Support Information Technology is not only making it easier regarding resources but become media marketing agricultural products for farmers in Indonesia. Currently, the chain of commerce for the sale of agricultural products is still very long. That causes the price of agricultural products is quite high. However, when the farmers sell the product, the hat price is still relatively low. To reduce the chain of commerce is needed a system that can provide information as well as a marketing place for agricultural products and can also use for direct purchase by consumers. The system that can meet those needs is e-commerce that built Marketplace based. Based on the findings of e-Marketer, the business to consumer (B2C) e-commerce market in Indonesia has the largest growth record in the Asia Pacific through 2017. There is potential to improve the welfare of farmers in Indonesia using information technology for marketing as well as direct transactions with consumers. In this paper will be proposed Android Application for Marketplace Agricultural Product Base Android. This Application will development by Software Development Life Cycle (SDLC) Prototype method with Java and XML programming languages and database management will be used MySQL. This Application will provide information on agricultural products, facilitate farmers to market their agricultural products, and facilitate farmers to conduct direct transactions with consumers.
A Review on Information System Audit Using COBIT Framework Heru Nugroho
IJAIT (International Journal of Applied Information Technology) Vol 03 No 02 (November 2019)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v3i02.2114

Abstract

Information systems (IS) audit contains a proper review of risks associated along with the organization of information systems and processes. Also, an assessment of whether enough quality control will ensure the efficiency, effectiveness, integrity, and security of organization data and assets of the information system. An IS / IT audit is a coordinated process that specializes in high-risk areas in the organization. Selection of the areas can arise with the board of directors, the board of directors, audit committee, government agencies, or external audit organizations. Generally, it audits help organizations monitoring and evaluation of how the business is work and give protection to the interests of managers, workers, customers, and investors. Control Objectives for Information and related Technology (COBIT) is a detailed resource that consists of all the information organizations have to be compelled to adopt its governance and control framework. COBIT delivers good practices across all domains and process frameworks in an easily manageable and rational structure to assist in optimizing investments that support it. COBIT optimizes investments that support IT and ensure that IT successfully meets business requirements. In this paper, we find that paper about IT/IS audit using COBIT is had a different perspective. Base on the review from twenty papers, there is 85% with a title IT/IS Audit, but the content is about Maturity or Capability Level. The discussion paper is expected to provide new knowledge to other researchers who focused his research on the area of information systems audit. This paper is expected to provide new enlightenment that information system audit is different from the maturity/ capability level, which is also examined in the COBIT 4.1 framework.
Information Technology Strategy for Micro, Small, and Medium Enterprises in the Era of Industry 4.0 Leni Fitriani; Heru Nugroho
IJAIT (International Journal of Applied Information Technology) Vol 06 No 02 (November 2022)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v6i02.5975

Abstract

During the industrial revolution 4.0, business and industry competitiveness expanded. Because of circumstances like these, competition between firms or micro, small, and medium enterprises (MSMEs) is also increasing. To create and maintain a competitive advantage, a business must be able to dominate the market by enhancing its strategy. The ability of companies to expand market segments by introducing distribution channels and innovations by employing technical advancements is one of the company's development tactics. To identify potential and difficulties for further study, this article aims to evaluate information technology solutions for empowering Micro, Small, and Medium Enterprises. The Biblioshiny tool was used to conduct the literature review for this article. Results Scientific publications investigate opportunities and obstacles to determine the function that strategic information technology supports in the case study of Micro, Small, and Medium Enterprises.
A Review: Data Quality Problem in Predictive Analytics Heru Nugroho
IJAIT (International Journal of Applied Information Technology) Vol 7 No 02 (2023): Vol 07 No 02 (November 2023)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v7i02.5980

Abstract

As data size continues to grow, there has been a revolution in computational methods and statistics to process and analyze data into insight and knowledge. This change in the paradigm of analytical data from explicit to implicit raises the way to extract knowledge from data through a prospective approach to determine the value of new observations based on the structure of the relationship between input and output. Data preparation is a very important stage in predictive analytics. To run quality analytical data, data with good quality is needed in accordance with the criteria. Data quality plays an important role in strategic decision making and planning before the digital computer era. The main challenge faced is that raw data cannot be directly used for analysis. One problem that arises related to data quality is completeness. Missing data is one that often causes data to become incomplete. As a result, predictive analysis generated from these data becomes inaccurate. In this paper we will discuss the problems related to the quality of data in predictive analytics through a literature study from related research. In addition, challenges and directions that might occur in the predictive analytics domain with problems related to data quality will be presented.