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All Journal INTECOMS: Journal of Information Technology and Computer Science Edumaspul: Jurnal Pendidikan eScience Humanity Journal
Rembe, Elismayanti
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Arts Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences Other

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The Role of Emotional Intelligence in Effective Leadership: A Review Sidrotun Na'im; Feri Irawan; Ahamd Zain Sarnoto; Windy Dian Sari; Rembe, Elismayanti; Aat Ruchiat Nugraha; Nursalim, Eko; Santosa, Tomi Apra; Diah Fatma Sjoraida; Rahmah, Andi
eScience Humanity Journal Vol 4 No 2 (2024): eScience Humanity Journal Volume 4 Number 2 May 2024
Publisher : Asosiasi Ide Bahasa Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/esci.v4i2.156

Abstract

Effective leadership is often associated with a variety of competencies and personal characteristics, where emotional intelligence (EI) has been a major focus in the last decade. This study examines the role of emotional intelligence in effective leadership through a comprehensive literature review. Using a systematic approach, we analyzed relevant articles and books from 2022 to 2024, which included theory, empirical research, and case studies on EI and leadership. The results of this review show that EI contributes significantly to effective decision-making, conflict management, and the development of interpersonal relationships in the context of leadership. Furthermore, emotional intelligence allows leaders to be more effective in managing stress and motivating subordinates. These findings underscore the importance of integrating EI training in leadership development programs to improve leadership effectiveness in various sectors. The study proposes several recommendations for leadership practices and future research directions, reinforcing the view that EI is an essential key to successful and sustainable leadership
The Impact of Social Media Communication on Youth Identity Formation: A Cross-Cultural Analysis Nugraha, Aat Ruchiat; Sjoraida, Diah Fatma; Rembe, Elismayanti; Guna, Bucky Wibawa Karya; Sani, Asrul; Suhardi, Suhardi; Fitria, Arie
eScience Humanity Journal Vol 4 No 2 (2024): eScience Humanity Journal Volume 4 Number 2 May 2024
Publisher : Asosiasi Ide Bahasa Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/esci.v4i2.177

Abstract

This study aims to analyze the impact of social media communication on the formation of adolescent identity from a cross-cultural perspective. Using cross-cultural analysis methods, this study investigates how adolescents from different countries and cultures interact with social media and how those interactions affect the formation of their identities. The results of the study show that social media plays an important role as an important space for adolescents to uncover, express, and negotiate their cultural identity. Social media platforms provide access to a wide range of cultural expressions, allowing for the blending and transformation of traditional and modern cultural elements. However, research also shows that the influence of social media can lead to cultural homogenization and the potential loss of unique local cultural identities. In addition, the study also found that social media use can influence teens by offering a sense of community and membership, as well as facilitating connections with like-minded friends globally.
The Influence of the TPACK based Inquiry Teaching Model on Student's Critical Thinking Skills Aina, Mia; Solissa, Everhard Markiano; Sopacua, Venty; Rembe, Elismayanti; Kurniawan, Andri; Nur, Muhammad; Sentosa, Bambang Mardi; Santosa, Tomi Apra; Nugraha, Aat Ruchiat
Edumaspul: Jurnal Pendidikan Vol 8 No 1 (2024): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v8i1.8098

Abstract

The purpose of the study was to determine the effect of tpack-based inquiry teaching model on students' critical thinking skills. This research is a type of meta-analysis research. The data sources in this study came from the analysis of 15 national and international journals published in 2021-2024. The inclusion criteria in the study are that the research must be indexed by Sinta and Scopus, the research comes from open access journals, the research has a relationship with the research variables, the research data is accessed through the Google Scholar Journal Database, Wiley, Taylor of Francis, Mendeley and Researhgate and the research must attach sticky data to calculate the effect size value. Data collection techniques are direct observation and documentation. Data analysis is quantitative analysis by calculating the effect size value with JSAP software. the results concluded that the tpack-based inquiry teaching model had a significant effect on students' critical thinking skills with a value of res = 0.914; P < 0.001. this finding provides positive information for teachers to implement this model in learning
The Impact Machine Learning Algorithms : Study Meta-Analysis Sani, Asrul; Oktavio, Adrie; Metasari, Rean; Santosa, Tomi Apra; sjoraida, Diah Fatma; Rembe, Elismayanti; Amri, Miftachul; Guna, Bucky Wibawa Karya
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 4 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i4.10860

Abstract

Machine Learning (ML) algorithms have revolutionized various fields, including science, technology, and business. This study conducted a meta-analysis to review the impact of ML algorithms on various domains. This research is a type of meta-analysis research. The data sources in this study come from 12 national and international journals published in 2022-2024. Data collection techniques through direct observation through journal databases. The inclusion criteria in this meta-analysis are research obtained from google scholar; ScienceDirect and ERIC, Research must be related to machine learning algorithms, research has complete data to calculate the effect size value. Data analysis in this study was conducted by statistical analysis with JSAP 0.16.3 application. The results of the study concluded that ML lgoritma has a significant impact on various fields including the discovery of new knowledge, process efficiency and accuracy in prediction with an effect size value of 0.793; p < 0.001. These findings show that ML algorithms have great potential to improve performance and efficiency in various fields.
Co-Authors Aat Ruchiat Nugraha Adrie Oktavio Ahamd Zain Sarnoto Amri, Miftachul ANDRI KURNIAWAN Asrul Sani Diah Fatma Sjoraida Diah Fatma Sjoraida Eko Nursalim, Eko Feri Irawan Fitria, Arie Guna, Bucky Wibawa Karya Metasari, Rean Mia Aina Muhammad Nur Rahmah, Andi Santosa, Tomi Apra Sentosa, Bambang Mardi Sidrotun Na'im Solissa, Everhard Markiano Sopacua, Venty Suhardi Suhardi Windy Dian Sari