Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Emerging Science Journal Journal of Management and Entrepreneurship Research Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran
Putit, Lennora
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
The Impact of Artificial Intelligence on Digital Marketing: Leveraging Potential in a Competitive Business Landscape Hendrayati, Heny; Achyarsyah, Mochamad; Marimon, Frederic; Hartono, Ulil; Putit, Lennora
Emerging Science Journal Vol 8, No 6 (2024): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-06-012

Abstract

This study aims to thoroughly investigate how Artificial Intelligence (AI) is strategically integrated into digital marketing practices and its consequential effects on Indonesia’s fiercely competitive business environment. Employing a quantitative research approach, this study meticulously examines Indonesian enterprises’ prevailing strategies for AI utilization. The research method employed in this study is quantitative, with the unit of analysis being Indonesian companies. The sample size comprises 100 companies selected through the stratified random sampling technique. Analysis of the data is conducted using the SPSS statistical package. Through detailed analysis of survey data and advanced statistical techniques, the research reveals a significant positive correlation between the integration of AI in digital marketing and improved marketing effectiveness. The study highlights a noticeable increase in customer engagement metrics and noteworthy enhancements in conversion rates among businesses proficient in leveraging AI technologies, further reinforcing this correlation. Additionally, the findings suggest that companies embracing AI demonstrate significantly heightened adaptability to the constantly evolving market dynamics, strengthening their competitive positioning. These insightful discoveries underscore the critical importance of harnessing AI’s transformative capabilities within digital marketing strategies to sustain and bolster a competitive edge in the marketplace. Furthermore, the study discusses its contributions to existing knowledge and provides practical implications for marketers and business policymakers in Indonesia. Doi: 10.28991/ESJ-2024-08-06-012 Full Text: PDF
What Drives Successful Co-Creation? The Role of Entrepreneurial Networking Quality and Entrepreneurial Trust Quality in Increasing Business Performance Indriastuti, Herning; Hudayah, Syarifah; Achmad , Gusti Noorlitaria; Putit, Lennora
Journal of Management and Entrepreneurship Research Vol. 6 No. 3 (2025)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jmer.2025.9.06.3-73

Abstract

Objective: Nowadays, it's a phenomenon that many people switch jobs to become entrepreneurs. Limited access necessitates that entrepreneurs build networks and establish trust to enhance the company's business performance. Research Design & Methods: This research contributes to a successful co-creation model to ensure MSMEs achieve superior business performance and fills the research gap between entrepreneurial network quality and business performance. Using the SEM AMOS statistical tool, a normality test was conducted on the initial data of 250 MSME players in East Kalimantan, Indonesia, resulting in 160 players. Findings: All results showed that the significance level met the hypothesis requirements. Successful co-creation plays an important role in mediating between entrepreneur network quality and entrepreneur trust quality increases business performance. Implications & Recommendations: The successful co-creation is an alliance of partners and part of the reconfiguration of business performance, if you have a loyal supplier network, a value-added network, a quality network, and a supportive professional organisation. Contribution & Value Added: The research contributes to the development of knowledge of relational marketing theory through the development of co-creation.
Examining The Effects of Task Complexity and Task Difficulty on Students’ Knowledge Retention: A Cognitive Load Theory Perspective Yulianto, Arief; Pramono, Suwito Eko; Wijaya, Angga Pandu; Lestari, Slamet; Putit, Lennora
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 11 No. 4 (2025): December (IN PROGRESS)
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v11i4.18326

Abstract

This study aims to analyze the effect of task complexity and task difficulty on knowledge retention through cognitive load. Previous studies have been largely outcome-oriented, focusing on student performance without examining long-term knowledge, thus leaving a gap for research that specifically elaborates on knowledge retention. A quantitative approach with a cross-sectional research design was employed. Using the Slovin formula with a 5% margin of error, the study involved 246 undergraduate students majoring in financial management from public universities located in Semarang, Surakarta, and Purwokerto, selected through purposive sampling. Data were analyzed using the variance-based structural equation modeling (VB-SEM) approach. The results reveal that cognitive load has a negative and significant effect on knowledge retention (β = -0.492, t = 4.167, p = 0.000). Task complexity shows a positive and significant effect on cognitive load (β = 0.300, t = 4.326, p = 0.000), but its direct effect on knowledge retention is not significant. Similarly, task difficulty has a positive and significant effect on cognitive load (β = 0.341, t = 4.628, p = 0.000), yet it does not directly affect knowledge retention. The findings indicate that both task complexity and task difficulty have negative and significant indirect effects on knowledge retention through cognitive load. These results demonstrate the importance of proportional instructional design, particularly the segmentation of complex content into smaller units to manage cognitive load. The use of educational technology is recommended to design tasks and instructional materials that align with students’ cognitive capacities, thereby enhancing knowledge retention.
Co-Authors Achmad , Gusti Noorlitaria Achyarsyah, Mochamad Angga Pandu Wijaya, Angga Pandu Arief Yulianto Heny Hendrayati Herning Indriastuti Marimon, Frederic Slamet Lestari Suwito Eko Pramono Syarifah Hudayah Ulil Hartono