Combination of PIPRECIA-S and Complex Proportional Assessment Approaches for Selecting MSME Locations

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in Indonesia's economy, but selecting a strategic business location often becomes a major challenge for MSME owners. The right location can determine business success, while poor decision-making is often due to subjectivity and limited data in manual processes. This study develops a Decision Support System (DSS) for MSME location selection by combining the Complex Proportional Assessment (COPRAS) method and the Simplified Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA-S) weighting technique. COPRAS was chosen for its ability to comprehensively evaluate alternatives based on complex criteria, while PIPRECIA-S was used to determine the criteria weights more systematically and effectively. The system is web-based, enabling the management of criteria, alternatives, and alternative evaluations to generate recommendations for business location rankings. The results of the black-box testing revealed that all core system functions operate smoothly and meet the specified requirements. This indicates that the system runs efficiently and fulfills all the intended functionalities.

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Publication Details

Journal
Jurnal Ilmu Komputer
Published
2025-04-29
DOI
https://doi.org/10.24843/jik.2025.v18.i01.p01
Primary Topic
Outsourcing and Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Combination of PIPRECIA-S and Complex Proportional Assessment Approaches for Selecting MSME Locations

Moh. Erkamim, Andrian Sah, Indra Indra, Jefri Rahmadian
Jurnal Ilmu Komputer
Outsourcing and Supply Chain Management
article

Combination of PIPRECIA-S and Complex Proportional Assessment Approaches for Selecting MSME Locations

Moh. Erkamim, Andrian Sah, Indra Indra, Jefri Rahmadian
article en

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in Indonesia's economy, but selecting a strategic business location often becomes a major challenge for MSME owners. The right location can determine business success, while poor decision-making is often due to subjectivity and limited data in manual processes. This study develops a Decision Support System (DSS) for MSME location selection by combining the Complex Proportional Assessment (COPRAS) method and the Simplified Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA-S) weighting technique. COPRAS was chosen for its ability to comprehensively evaluate alternatives based on complex criteria, while PIPRECIA-S was used to determine the criteria weights more systematically and effectively. The system is web-based, enabling the management of criteria, alternatives, and alternative evaluations to generate recommendations for business location rankings. The results of the black-box testing revealed that all core system functions operate smoothly and meet the specified requirements. This indicates that the system runs efficiently and fulfills all the intended functionalities.

Jurnal Ilmu KomputerVol. 18(1)
NIIT (India) (IN), Universitas Sulawesi Barat (ID), Universitas Yapis Papua (ID), Universitas Tunas Pembangunan (ID)
Openalex Percentile: Top 86%
Outsourcing and Supply Chain Management
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