Claim Missing Document
Check
Articles

Found 14 Documents
Search

Enhancing Employee Engagement through Strategic Human Resource Management in Economics and Management Education Herawaty, Mety Titin; Aprillia, Aprillia; Mutia, Fara; Asmadi, Iwan; Gampu, Seska
Jurnal Sains Sosio Humaniora Vol. 9 No. 2 (2025): Volume 9, Nomor 2 Desember 2025
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jssh.v9i2.50495

Abstract

This study explores how SHRM enhances employee engagement in higher education, particularly within economics and management education. Using a qualitative library research design and thematic content analysis, the study reviewed scholarly sources published between 2014 and 2024. Literature selection followed explicit inclusion–exclusion criteria, incorporating academic works addressing SHRM, employee engagement, leadership, organizational culture, or HRM in higher education, while excluding non-scholarly publications and studies lacking methodological clarity. The findings show that SHRM strengthens engagement when aligned with institutional strategy, supported by transformational leadership, and embedded within a participatory organizational culture. Four clusters of HR practices competency-based planning, continuous professional development, performance-based rewards, and participatory performance management emerge as key drivers of engagement through their effects on motivation and organizational commitment. Based on these insights, the study proposes a conceptual model explaining how SHRM enhances cognitive, emotional, and behavioral engagement, ultimately improving teaching performance, research productivity, and institutional competitiveness. The results contribute to the limited academic literature on SHRM in higher education and offer practical guidance for universities seeking to build integrated HR strategies. Future empirical research is recommended to validate the proposed model across diverse academic contexts.
Analysis of CSR Models in Improving English Recount Text Reading Skills in Karya Vocational High Schools Aprillia; Sinta Rukiastiandari; Fara Mutia; Luthfia Rohimah; Endang Sri Andayani
INTERACTION: Jurnal Pendidikan Bahasa Vol. 13 No. 1 (2026): INTERACTION: Jurnal Pendidikan Bahasa
Publisher : Program Studi Pendidikan Bahasa Inggris, Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/interactionjournal.v13i1.4892

Abstract

Reading comprehension is one of the essential skills in English language learning at the high school level at Pendidikan Karya Tangerang. Based on initial observations, it was found that reading comprehension skills, especially in recount texts, are still relatively low. This is characterized by difficulties in understanding the main ideas, detailed information, vocabulary, and the sequence of events in the text. This study aims to analyze the application of the Collaborative Strategic Reading (CSR) model in improving reading comprehension skills in English recount texts.This study used a pre-test and post-test control group design. The research sample consisted of 60 eleventh-grade students, divided into two groups: an experimental group (30 students) taught using the CSR model and a control group (30 students) taught using conventional learning methods. The results of the pre-test and post-test control showed a significant difference in reading comprehension ability between the experimental class (82,40) and the control class (72,10), indicating that the increase in scores in the experimental class was greater than in the control class. The N-Gain score for the experimental class was in the medium-high category (0,54), while the control class (0,28) was in the medium category.These findings indicate that the CSR model is effective in improving students' English recount text reading comprehension skills. This study is expected to serve as a reference for English teachers in implementing innovative and effective collaborative learning models
Bibliometric dan Systematic Literature Review (SLR): Employee Engagement pada Era Hybrid Working Eneng Iviq Hairo Rahayu; Zahra Zahra; Fara Mutia; Lilik Yuliawati; Iwan Asmadi
Journal of Creative Power and Ambition (JCPA) Vol. 4 No. 01 (2026): Journal of Creative Power and Ambition (JCPA)
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/jcpa.1498

Abstract

This study aims to analyze the development of research on employee engagement in the context of hybrid working through bibliometric analysis and a Systematic Literature Review (SLR) approach. The study employed a mixed-methods design by integrating bibliometric analysis using VOSviewer software and literature synthesis based on the PRISMA protocol. Data were collected from Scopus, Web of Science, and Google Scholar databases covering publications from 2019 to 2024. The literature selection process resulted in 87 articles that met the inclusion criteria. The bibliometric findings indicate that publications related to employee engagement in the era of hybrid working increased significantly after the COVID-19 pandemic, with major themes focusing on psychological aspects, digital technology, leadership, work-life balance, and organizational culture. The SLR results reveal that work flexibility and transformational leadership are the most dominant factors in enhancing employee engagement. In addition, digital technology plays a crucial role in facilitating communication and collaboration among employees. However, hybrid working also presents challenges, including increased work stress and blurred boundaries between personal and professional life. This study contributes theoretically through the development of an integrative model of employee engagement within the hybrid working context and provides practical implications for organizations in designing adaptive and sustainable human resource management strategies in the modern workplace era.
Predicting Graduation Outcomes: Decision Tree Model Enhanced with Genetic Algorithm Sinta Rukiastiandari; Luthfia Rohimah; Aprillia Aprillia; Fara Mutia
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 1 (2024): March 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i1.3165

Abstract

This research aims to improve the accuracy of predicting student permit results in the digital era by utilizing machine learning techniques. The main focus is the use of a Decision Tree (DT) model optimized with a Genetic Algorithm (GA) to overcome the limitations of accuracy and testing of conventional methods. This research began with collecting student academic data, followed by preprocessing to eliminate incompleteness and organize the data format. The DT model is then built and optimized with GA, which is inspired by biological evolutionary processes to improve feature selection and parameter tuning. The results show a significant increase in prediction accuracy, from 86.19% to 87.68%, and an increase in the Area Under Curve (AUC) value from 0.755% to 0.788%. This research not only proves the effectiveness of GA integration in improving DT models, but also paves the way for the application of evolutionary techniques in educational data analysis and other fields. The main contributions of this research include the development of more accurate prediction models and practical applications in educational contexts, with the hope of assisting educational institutions in making more informed decisions for their students.