Model Sistem Dinamis: Simulasi Formulasi Kebijakan Publik [Dynamic System Model: Simulation Method in Formulation Public Policy]

Lesmana Rian Andhika
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Abstract

The Dynamic System Model can be practical decision-making tools that allow testing various scenarios of policy formulation. This study focuses on describe policy formulation in a simulation using Dynamic System Model, the purpose of applying the model is to observe a variety of complex structures and may influence the objectives based on the phenomenon of the identified problem. Furthermore, Dynamic System Model can see changes in policy behavior and allow feedback schemes to provide information flows to design complex policy formulations. This study was conducted with a meta-data-analysis approach, aimed to develop systematic knowledge of certain phenomena through analysis of data processed from selected secondary data. To develop argumentation, this study also refers to several cases of previous research and treated as evidence. The results of this study provide information that in a policy formulation simulation model with a dynamic system used aspects of analysis, planning, and control. These three aspects provide a means for assessing the possible causes of irregularities, resulting variety of possible analyzes of various sources of information, methods, references to determine feedback from all related analyzes in a dynamic system. Thus, provide an early warning about the need for further action, but from these three aspects might have an effect, change and deviation from one part of the system, and often differ from what was intended. For this reason, irregularities provide a signal for additional analysis, whether the policy/strategy has been effectively implemented.

Keywords: simulation, model, dynamic system, policy formulation

Abstrak

Model Sistem Dinamis dapat menjadi alat pendukung pengambilan keputusan praktis yang memungkinkan untuk menguji berbagai skenario formulasi kebijakan. Penelitian ini berfokus untuk menggambarkan Model Sistem Dinamis formulasi kebijakan dalam sebuah simulasi, tujuan dari penerapan model tersebut untuk mengamati berbagai struktur yang kompleks, dan mungkin memengaruhi tujuan berdasarkan fenomena masalah yang teridentifikasi. Selain itu, Model Sistem Dinamis dapat melihat perubahan perilaku kebijakan dan memungkinkan skema umpan balik untuk memberikan arus informasi merancang formulasi kebijakan yang lebih kompleks. Penelitian ini dilakukan dengan pendekatan meta-data-analysis, bertujuan untuk mengembangkan pengetahuan secara sistematis tentang fenomena tertentu melalui analisis data yang diolah dari data sekunder terpilih. Untuk mengembangkan argumentasi penelitian ini juga merujuk kepada beberapa kasus penelitian terdahulu dan diperlakukan sebagai bukti. Hasil penelitian ini memberikan informasi bahwa dalam model simulasi formulasi kebijakan dengan sistem dinamis digunakan aspek analysis, planning, dan control. Ketiga aspek ini menyediakan sarana untuk menilai kemungkinan penyebab penyimpangan, menghasilkan berbagai kemungkinan analisis dari berbagai sumber informasi, metode, referensi untuk menetapkan umpan balik dari semua analisis yang terkait dalam sistem dinamis. Dengan demikian memberikan peringatan dini tentang perlunya tindakan lebih lanjut, namun dari ketiga aspek tersebut mungkin menimbulkan efek, perubahan dan penyimpangan satu bagian dari sistem, dan sering berbeda dari pada yang dimaksudkan. Untuk itu penyimpangan memberikan sinyal untuk analisis tambahan, apakah kebijakan/strategi telah diterapkan secara efektif.

Kata kunci: simulasi, model, sistem dinamis, formulasi kebijakan

Keywords

simulasi; sistem dinamis; formulasi kebijakan; simulation; model; dynamic system; policy formulation

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References

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Peraturan Presiden Republik Indonesia No. 104 tahun 2007 tentang Penyediaan, Pendistribusian, dan Penetapan Harga Liquefied Petroleum Gas (LPG) Tabung 3 Kilogram.


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