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Design Thinking Strategy On Improving Academic Administration Bureau Services (Case Study: Bakrie University) Chairani, Metha Erzha; Arief Bimantoro Suharko
Jurnal Scientia Vol. 13 No. 03 (2024): Education and Sosial science, June - August 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/scientia.v13i03.2575

Abstract

This research discusses the application of design thinking strategies in improving services at the Academic Administration Bureau of Bakrie University. Design thinking, as an approach that focuses on a deep understanding of user needs, was adapted to identify and address challenges faced in academic administration services. Through a qualitative method involving observation, interviews, and documentation analysis, this study found that design thinking can improve the service process by socializing with students to integrate user perspectives and increase student satisfaction. This research concluded that design thinking can be used to improve Bakrie University services by socializing to stakeholders about services so that a target of 90% of active students at Bakrie University understand existing services is obtained. The results of implementing this strategy show an increase in service quality, as well as providing valuable insights for the development of academic administration services in higher education.
The Influence of Learning Styles and Kolb Preferences on Training Effectiveness at the Learning and Behavior Level (Kirkpatrick Model): a Study at PT. Revass Utama Medika Abdul Fattah; Arief Bimantoro Suharko
Jurnal Multidisiplin Sahombu Vol. 5 No. 5 (2025): Jurnal Multidisiplin Sahombu, July - August (2025)
Publisher : Sean Institute

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Abstract

This study aims to analyze the influence of Kolb's learning style on the effectiveness of Customer Management training for employees of the Sales Division of PT. Revass Utama Medika, as measured through two levels of Kirkpatrick evaluation, namely Level 2 (learning) and Level 3 (behavior), and considering the role of learning preferences as a moderating variable. This study used a total population sampling method on 58 respondents, all of whom were training participants. Data collection was conducted one week after the online training, using a Likert-scale questionnaire instrument. Data analysis was carried out using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. The results showed that Kolb's learning style had a positive and significant effect on material understanding (Level 2) with a p value <0.05, but did not have a significant effect on changes in work behavior (Level 3). Conversely, learning preferences had a positive and significant effect on changes in work behavior (p <0.05). The moderating effect of learning preferences on the relationship between learning styles and work behavior was not significant (p > 0.05). These findings indicate that matching training methods to individual preferences contributes to the application of training outcomes in the workplace, while learning styles play a greater role in shaping understanding of the material. This study provides theoretical contributions by integrating Kolb's learning style model and Kirkpatrick's training evaluation into a single analytical framework, as well as practical contributions to human resource management in designing training that adapts to employee learning styles.