The IBM Model in Border Management of The Riau Islands Province to Increase Investment Competitiveness to Support State Defense

Pengelolaan Perbatasan Provinsi Kepulauan Riau untuk Meningkatkan Daya Saing Investasi

Authors

  • Edy Saptono Defense University Republic of Indonesia
  • Agus Sudarya Defense Management Study Program, The Republic of Indonesia Defense

DOI:

https://doi.org/10.55227/ijhess.v4i2.1298

Abstract

The position of the Riau Islands Province border area with Singapore is very strategic. Even though it has great potential to contribute to economic improvement, this position has not been utilized optimally, even though border areas are an attractive entry point for investors who intend to invest their capital. The aim of the research is to examine the Riau Islands Province Border Management Model based on Integrated Border Management (IBM) which refers to IBM parameters and competitiveness parameters as an effort to increase competitiveness in the investment sector. This research uses a qualitative analysis approach. The research results show that there are obstacles in the management of the Riau Islands-Singapore Province border area in the form of geographical, legal, management and security obstacles. Meanwhile, investment mechanisms and procedures in the border area of ​​Riau Islands Province with Singapore are not complicated and are regulated using a server. The Integrated Border Management (IBM) implementation model in managing the border between Riau Islands Province and Singapore to increase investment competitiveness uses the Single Window Model which is an integrated public service system.

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Published

2024-10-14

How to Cite

Edy Saptono, & Agus Sudarya. (2024). The IBM Model in Border Management of The Riau Islands Province to Increase Investment Competitiveness to Support State Defense: Pengelolaan Perbatasan Provinsi Kepulauan Riau untuk Meningkatkan Daya Saing Investasi . International Journal Of Humanities Education and Social Sciences, 4(2). https://doi.org/10.55227/ijhess.v4i2.1298

Issue

Section

Social Science