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All Journal Prosiding Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan dan Bisnis
Hasibuan, Rizki Alfitra
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Tradeborder: Internet of Things Based Application to Improve the Welfare of MSME Actors on the West Kalimantan Border Through Indonesia-Malaysia Trade Relations Hasibuan, Rizki Alfitra; Yunita, Arma Sri
Prosiding Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan dan Bisnis Vol. 3 No. 1 (2024): TOP 10 Best Paper, Prosiding Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/snimekb.v3i1.9808

Abstract

The state border area in West Kalimantan includes 5 districts, namely Sambas, Bengkayang, Sanggau, Sintang and Kapuas Hulu districts. From a socio-economic perspective, border areas in West Kalimantan Province generally have the main problem, namely their isolated/underdeveloped location with a low level of accessibility and a low level of social welfare for border communities. One of the efforts to improve the welfare of people in border areas is to increase people's income through empowering the rural economy, especially increasing MSMEs. Furthermore, the increasingly rapid technological transformation is making innovations from traditional strategies change to digital strategies. Therefore, the author proposes an Internet of Things-based application to improve the welfare of MSMEs on the West Kalimantan border in the bilateral trade relations between Indonesia and Malaysia, namely the TradeBorder application.
Application of the Resource Base View-Based Artificial Intelligence Model to Create Competitive Advantage for MSME Exports in Pontianak City Hasibuan, Rizki Alfitra; Hasbyanti, Hasbyanti; Fariyanda, Rosan; Jeffy, Izha Fadlam; Narandi, Thomas
Prosiding Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan dan Bisnis Vol. 3 No. 2 (2024): November 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/snimekb.v3i2.12649

Abstract

The performance of Indonesian MSMEs plays an important role in economic growth, with their contribution to GDP reaching 60.34% in 2017. However, Indonesian MSMEs still face challenges, such as low product quality and limited competitiveness, especially in the global market. One proposed solution is the Resource-Based View (RBV) method to improve the competitive advantage of MSMEs. This research develops an RBV model with the support of Artificial Intelligence (AI) technology, aimed at mapping the strategic resources of MSMEs. This research focuses on Pontianak City MSMEs that have carried out export activities analyzed using the Analytical Hierarchy Process (AHP) method. This research created an RBV-based AI framework to assess and manage strategic resources to gain competitive advantage.
Co-Authors Fariyanda, Rosan Hasbyanti, Hasbyanti Jeffy, Izha Fadlam Narandi, Thomas Yunita, Arma Sri