Article Per Year (5 Year)
p-Index From 2021 - 2026
0.778
P-Index
This Author published in this journals
All Journal Trikonomika: Jurnal Ekonomi International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) International Journal of Research and Applied Technology (INJURATECH)
Hayati, Euis Neni
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Pandawa App: Student Guide Application after the Covid-19 Pandemic Rafdhi, Agis Abhi; Bachtiar, Adam Mukharil; Hayati, Euis Neni; Mega, Raiswati Untsa
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 4 No. 2 (2023): INJIISCOM: VOLUME 4, ISSUE 2, DECEMBER 2023
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v4i2.13895

Abstract

The purpose of this research is to design a mobile-based application that functions as a pre-lecture socialization platform so that the post-Covid-19 transition period can be maintained and carried out well. The research method used in this research is descriptive analysis with a qualitative approach. We used an object-oriented approach with the System Development Life Cycle Prototyping in the application development process. The results show that the Pandawa application development can provide lecture guidance properly using a digital platform that can be accessed via smartphone. The main concept of this application is to contain procedures or guidelines for implementing face-to-face lectures during the transition period from the Covid-19 pandemic in the New Normal era. In addition, this application also has a feature integrated with the local government for reporting if there are residents who test positive for Covid-19. Therefore, it can be followed up directly and quickly. In the end, this application is present as an information medium to adapt new habits in the world of education, especially at the tertiary level.
Android Based Information System Modelling: Case Study of Building Materials Sales Syafariani, R Fenny; Hayati, Euis Neni
International Journal of Research and Applied Technology (INJURATECH) Vol. 4 No. 1 (2024): International Journal of Research and Applied Technology (INJURATECH)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injuratech.v4i1.14334

Abstract

When a pandemic occurs, people are forced to carry out Large-Scale Social Restrictions (LSSR) set by the government. Therefore, everything must be done online to break in the chain of spreading the virus. In reality, many people have smartphones that are connected to the internet and companies took that fact as an advantage. One of the companies is WS supplier that can order building materials through an online application. The purpose of this study is to design an Android-based building material purchase application model. The method used in this research is the descriptive analysis method by making observations at the WS Supplier business premises as the object of research. In this application, the modelling used a project-oriented approach and a prototype system development method. The results showed that this application could help marketing and facilitate online-based ordering. With this application model, it is hoped that it can increase sales in the building materials sector so that it can continue to operate during a pandemic and post-pandemic. This research has produced a prototype design in the form of an application that can be used as media in a business field to increase sales amid the Covid-19 pandemic. With this research, it is hoped that it can be beneficial both in the same field and in others to help the economy of the community during a pandemic by adhering to health protocol. The WS Supplier application is designed to be a model application for building material service providers to make promotional and ordering materials accessible to customers via smartphone
LITERACY AND RISK MANAGEMENT ON A PERSON'S LEADERSHIP SKILL IN ENTREPRENEURSHIP Soegoto, Eddy Soeryanto; Luckyardi, Senny; Albar, Chepi Nur; Saputra, Herry; Hayati, Euis Neni
TRIKONOMIKA Vol 22 No 2 (2023): December Edition
Publisher : Faculty of Economics and Business, University of Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/trikonomika.v22i2.10161

Abstract

The purpose of this study is to investigate the impact of literacy and risk management on a person's leadership skill in relation to entrepreneurship. This research approach employs quantitative analysis through deduction by statistically calculating a questionnaire that was distributed to 280 prospective entrepreneur and recent graduates. According to the findings, literacy and risk management variables have a major influence on leadership of an entrepreneur in a comprehensive manner, either partially or impartially. As a result, in entrepreneurship, it is vital to equalize these qualities in order to promote individual leadership, which will benefit a good corporate culture. In conclusion, entrepreneurial skill must focus on the development of the hard skill and soft skill including literacy and risk management that will give long-term benefits in order to maintain a healthy and friendly work culture.
Artificial Intelligence in Web-Based Geographic Information Systems: A Cross-Disciplinary Review Hayati, Euis Neni
International Journal of Research and Applied Technology (INJURATECH) Vol. 4 No. 2 (2024): Vol 4 No 2 (2024)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study examines the integration of Artificial Intelligence (AI) into Web-Based Geographic Information Systems (WebGIS) from a cross-disciplinary perspective. By conducting a structured review of 15 scholarly articles published between 2019 and 2025, this paper aims to explore how AI technologies—such as machine learning, natural language processing, and computer vision enhance spatial analysis and decision-making across various sectors. The findings indicate a growing trend in AI-WebGIS research, particularly in areas like environmental monitoring, disaster management, smart agriculture, public health, and education. While AI integration offers significant advancements in automation, scalability, and user interactivity, several limitations remain, including ethical considerations, data standardization issues, and limited real-world implementation. This review highlights future opportunities in building more inclusive, interoperable, and operationally scalable WebGIS platforms powered by AI.
Co-Authors Albar, Chepi Nur Bachtiar, Adam Mukharil Eddy Soeryanto Soegoto Luckyardi, Senny Mega, Raiswati Untsa R Fenny Syafariani Rafdhi, Agis Abhi Saputra, Herry