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All Journal bit-Tech Jurnal Manajemen dan Bisnis Madani
Agung Dwianto
Universitas Paramadina
Computer Science & IT Economics, Econometrics & Finance

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Pengaruh Social Media Marketing Terhadap Customer Engagement Pada Skincare Merek Somethinc Survey Pada Followers Instagram Somethinc Agung Dwianto; Stefany Bororing
Jurnal Manajemen dan Bisnis Madani Vol. 5 No. 1 (2023): Februari 2023
Publisher : Fakultas Ekonomi & Bisnis Universitas Paramadina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51353/jmbm.v5i1.715

Abstract

Social media provides an additional option for marketers to track consumer attention to build brand awareness and consumer engagement. A number of companies also use social media as a forum to accommodate consumer opinions, criticisms, and input. The purpose of this study is to test whether there is an effect of Social Media Marketing on Customer Engagement. The research design used in this research is a quantitative approach. The sample taken in this study was 100 Instagram followers @somethincofficial. The data collection technique used in this study used a survey method using a questionnaire. The results show that Social Media Marketing (X) has a regression coefficient value of 0.861 and a significance value (Sig.) 0.000 in the Coefficientsa table with a value of (degree of significance) 0.05 meaning 0.000 <0.05 or there is a significant effect and the t test shows 7.554 > t. This means that Social Media Marketing has a positive and significant effect on Customer Engagement.
Artificial Intelligence in Performance Evaluation (Case Study of PT. Pos Indonesia Employees) Agung Dwianto; Sitta Kusuma; Junengsih
bit-Tech Vol. 7 No. 2 (2024): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i2.1817

Abstract

The development of artificial intelligence (AI) has revolutionized various aspects of human resource management, including employee performance evaluation. While existing studies have extensively explored the potential of AI in improving efficiency and objectivity, they often overlook the nuanced employee experiences and organizational dynamics that influence its successful implementation. This research bridges this gap by examining the perceptions and experiences of PT Pos Indonesia employees regarding the use of an AI-based performance evaluation system. Using a qualitative approach with a phenomenological design, data was collected through in-depth interviews with employees who have used the system for at least six months. The findings reveal that AI contributes significantly to enhancing efficiency and reducing subjectivity in evaluations. However, challenges such as algorithm bias, the relevance of performance metrics, and system transparency remain prevalent. Importantly, this study identifies critical factors influencing acceptance, including employee understanding, trust, and perceptions of fairness in the evaluation process. Unlike previous research, this study emphasizes the interplay between technological and human factors, highlighting the irreplaceable role of human interaction in providing qualitative context. This research extends the existing literature by offering a deeper understanding of employee-centered factors and organizational practices that facilitate the integration of AI in performance evaluation. Practically, it provides actionable insights for organizations aiming to implement AI-based systems effectively, ethically, and equitably.
Co-Authors Junengsih Kusuma, Sitta Stefany Bororing