Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
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This Author published in this journals
All Journal INFORMAL: Informatics Journal Jurnal Ilmiah Manajemen Kesatuan Journal Economic Business Innovation
Septiana, Aulia
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Penerapan UML Dalam Sistem Reservasi Perawatan Puskesmas Cikampek Berbasis Website Septiana, Aulia; Voutama, Apriade
INFORMAL: Informatics Journal Vol 8 No 3 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i3.44390

Abstract

As technology continues to advance, some Puskesmas are leveraging online services to seize opportunities. In order To keep pace with these developments, the Cikampek Health Center has mandated changes to implement web-based treatment bookings. Puskesmas are community facilities that function as health services. In this research, we designed an online reservation system consisting of use case diagrams, activity diagrams, sequence diagrams, class diagrams, and implementation using UML-based identification methods, analysis, and system design. The use of UML modeling is very effective and helps the reader understand the overall picture of the system being created. The results obtained in the construction of this system aim to make it easier for the community to access Puskesmas services, and the authors believe that this website will help reduce waiting times and improve the processing of patient data. I hope it will be a tool for promotion.
Employee Recruitment, Selection, and Placement Processes: A Bibliometric Analysis Septiana, Hana; Septiana, Aulia
Jurnal Ilmiah Manajemen Kesatuan Vol. 11 No. 3 (2023): JIMKES Edisi Desember 2023
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v11i3.2179

Abstract

This study aims to analyze the process of recruitment, selection, and placement of employees in the company. Bibliometric analysis methods are used to measure, analyze, and understand patterns in scientific literature and scientific publications related to employee recruitment, selection, and placement. Through searching using the Publish or Perish tool, 984 articles were obtained selected according to research needs, starting from 2019 to 2023. The results of this study conclude the results that recruitment, selection, and placement of employees affect employee performance. Good and appropriate employee recruitment, selection, and placement processes can be applied to improve employee performance. The theoretical implication of this study lies in its use of bibliometric analysis methods to systematically assess the scientific literature on employee recruitment, selection, and placement. The study offers a comprehensive understanding of patterns and trends in relevant scholarly publications in recruitment and employee placement. The contribution of this research is evident in its conclusion that effective processes in recruitment, selection, and placement significantly impact employee performance, emphasizing the importance of implementing suitable strategies to enhance overall workforce effectiveness.
New ideas, Management, Plan, Money, and Teamwork for New Business Effectiveness: Digital Transformation as Moderator. Markhumah, Umatun; Intan Penatari, Resi; Septiana, Aulia
Journal Economic Business Innovation Vol. 1 No. 4 (2025): January
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/jebi.v1i4.215

Abstract

Purpose: This study looks at how five important entrepreneurial factors affect startup performance in a changing business environment. These factors are innovation capability, entrepreneurial leadership, strategic agility, access to funding, and collaborative networks. Digital transformation is a factor that can change how these factors affect performance. Method: We employed a quantitative research design to collect primary data through structured questionnaires that we distributed to 250 startup founders and managers. The relationships between the variables were analyzed using structural equation modeling (SEM), and the moderating role of digital transformation was tested. Findings: It is indicated by the results that startup performance is significantly and positively influenced by all five entrepreneurial factors. Digital transformation has a significant impact on these relationships, enhancing their effect on performance outcomes. Novelty: This research contributes novel insights. It does so by integrating digital transformation as a moderator. It also illuminates how digital capabilities interact with traditional entrepreneurial drivers. This interaction improves startup success in rapidly evolving markets. Implications: Entrepreneurs, investors, and policymakers can use the findings to guide their actions. The findings suggest that these groups prioritize digital transformation initiatives alongside essential entrepreneurial competencies. These initiatives will foster startup growth, resilience, and competitive advantage.
Co-Authors Apriade Voutama Intan Penatari, Resi Markhumah, Umatun Septiana, Hana