scholarly journals Analisis Permintaan Bubuk Kayu Manis Indonesia di Pasar Dunia

2021 ◽  
Vol 26 (3) ◽  
pp. 363-369
Author(s):  
Dian Indri Annisa ◽  
Amzul Rifin ◽  
Tanti Novianti
Keyword(s):  
Demand Systems ◽  
Systems Model

Bubuk kayu manis (kode HS 090620) adalah salah satu produk turunan rempah yang paling banyak diekspor oleh Indonesia dan volumenya menurun dalam beberapa tahun terakhir dibandingkan negara pesaingnya, yaitu Vietnam. Analisis permintaan dilakukan untuk menilai posisi persaingan pasar bubuk kayu manis Indonesia di pasar dunia menggunakan metode almost ideal demand systems. Hasilnya menunjukkan bahwa pada pasar Amerika Serikat dan Jerman, Indonesia menjadi eksportir tebesar, sedangkan pada pasar Kanada, bubuk kayu manis Vietnam menempati posisi tertinggi. Berdasarkan elastisitas permintaan, bubuk kayu manis Indonesia adalah produk yang bersifat inelastis dan saling bersubtitusi dengan pesaingnya, yaitu Vietnam di pasar importir Amerika Serikat, Jerman, dan Kanada. Agar dapat terus berdaya saing dalam perdagangan bubuk kayu manis, perlu ada perbaikan mutu produk sesuai dengan sertifikasi internasional serta menjalin kerja sama bilateral.   Kata kunci: almost ideal demand systems model, bubuk kayu manis, pasar, persaingan

A multivariate dynamic systems model for psychotherapy with more than one client.

2017 ◽  
Vol 64 (6) ◽  
pp. 616-625 ◽  
Author(s):  
Jonathan E. Butner ◽  
Carlene Deits-Lebehn ◽  
Alexander O. Crenshaw ◽  
Travis J. Wiltshire ◽  
Nicholas S. Perry ◽  
...  
Keyword(s):  
Dynamic Systems ◽  
Systems Model

Psychoecological Systems Model for Participatory Community Action Research: Evidence of Validity and Practical Utility

2011 ◽  
Author(s):  
Roger N. Reeb ◽  
Susan F. Folger ◽  
Anne L. Steel ◽  
Sara E. Mason ◽  
Laura E. Stayton ◽  
...  
Keyword(s):  
Action Research ◽  
Research Evidence ◽  
Community Action ◽  
Practical Utility ◽  
Systems Model

Model-Based and Model-Free Social Cognition

2019 ◽  
Author(s):  
Leor M Hackel ◽  
Jeffrey Jordan Berg ◽  
Björn Lindström ◽  
David Amodio
Keyword(s):  
Reinforcement Learning ◽  
Social Cognition ◽  
Learning Strategies ◽  
Memory Systems ◽  
Learning Task ◽  
Financial Advisors ◽  
Model Based ◽  
Model Free ◽  
Systems Model ◽  
Task Assessment

Do habits play a role in our social impressions? To investigate the contribution of habits to the formation of social attitudes, we examined the roles of model-free and model-based reinforcement learning in social interactions—computations linked in past work to habit and planning, respectively. Participants in this study learned about novel individuals in a sequential reinforcement learning paradigm, choosing financial advisors who led them to high- or low-paying stocks. Results indicated that participants relied on both model-based and model-free learning, such that each independently predicted choice during the learning task and self-reported liking in a post-task assessment. Specifically, participants liked advisors who could provide large future rewards as well as advisors who had provided them with large rewards in the past. Moreover, participants varied in their use of model-based and model-free learning strategies, and this individual difference influenced the way in which learning related to self-reported attitudes: among participants who relied more on model-free learning, model-free social learning related more to post-task attitudes. We discuss implications for attitudes, trait impressions, and social behavior, as well as the role of habits in a memory systems model of social cognition.

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