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System Dynamics Model and Policy Scenario Analyses on International Movements of Indonesian Scientists and Engineers Inayati, Tutik; Mori, Shunsuke; Nuraeni, Shimaditya
The Asian Journal of Technology Management (AJTM) Vol 9, No 2 (2016)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (253.172 KB) | DOI: 10.12695/ajtm.2016.9.2.1

Abstract

Abstract. The necessity to face technology challenges in industrialization in Indonesia causes the current condition to be not preferable. Conditions in higher education which relates closely to the research and development in Indonesia trigger questions of what future holds in Indonesia’s technology development in the future. This paper looks back at the previous literatures on international movements of scientists and engineers abroad and proposes to apply a causal loop diagram model. This paper also analyzes the relationships based on Indonesia’s context and set a parameter for each variable. The relationships were checked through interview with representation from Indonesian research institutions and Ministry of Foreign Affairs. The result of this paper confirms that the diagram is able to symbolize the circumstances in Indonesia’s context. Second important finding is that based on simulation and policy scenarios implemented, the policy to increase the number of scholarships by the government is predicted as the most effective to all important parameters for future development in Indonesia in relation to education and technology development, which will eventually lead to economic development.Keywords:  Engineers, international students, policy scenarios, scientists, system dynamics
University Student’s Experiences with Online Synchronous Learning during Covid-19 Rasto Rasto; Sambas Ali Muhidin; Tutik Inayati; Marsofiyati Marsofiyati
Jurnal Pendidikan Ekonomi Dan Bisnis (JPEB) Vol 9 No 1 (2021): Jurnal Pendidikan Ekonomi & Bisnis (DOAJ & SINTA 2 Indexed)
Publisher : Faculty of Economics, State University of Jakarta.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JPEB.009.1.4

Abstract

This study delivers new insights on students' experiences who have studied their courses at least one semester during the Covid-19 Pandemic. We collected 199 respondents and analyzed the result of the questionnaire. The first finding is that students rather use discussions as a method to conduct online learning in classes. Students also would prefer both methods (asynchronous and synchronous) during online learning. We categorized students' learning experiences into intimacy and connection, supports, coordination and collaboration, technical difficulties, and traits. This study concludes that whole experiences about online synchronous learning did not change, except for the lack of personal support from lecturers when students face difficulties in certain subjects and hardware malfunction during classes. We recommend that lecturers pay more attention to students with less comprehension ability. We also recommend that lecturers run more creative ways other than lecturing in classes and limit lecturing time to decrease boredom.
CONCEPTUAL MODEL OF STUDENTS ABROAD’S BEHAVIOUR: AGENT-BASED MODELING APPROACH Inayati, Tutik; Putro, Utomo Sarjono; Novani, Santi; Nurdayat, Ilham Fadhil
ASEAN Marketing Journal Vol. 11, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Manuscript type: Original Papers Research Aims: To explore the behavioral process of international students on how they can change their decision to remain or return home based on their interactions with other agents during their studies. Design/methodology/approach: This paper uses an agent-based methodology approach to simulate the behavior of students based on their interactions while studying abroad. A combination of four parameters with three different scenarios and 40 repetitions in every scenario are conducted to verify the model; 81 simulations are determined to simulate this model. Research Findings: The number of natives interacting with students is proven as one single important parameter that influences the number of remaining students and their probability density. Theoretical Contribution/Originality: Utilisation of agent-based simulation to predict behavior of students Practitioner/Policy Implication: Supporting good quality of life condition for students environmentally and socially Research limitation/Implications: Interaction with fellow students, natives, recruiters abroad and in home country are the only interactions considered in this model. More elaborate and complicated model is needed.