Volume 36, Issue 1 (IJIEPR 2025)                   IJIEPR 2025, 36(1): 1-16 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Putri E P, Widodo E, Purnama J, Putra B R S P, Puteri A H A. Performance Evaluation of Micro and Small Industries in East Java Province, Indonesia Using SMA and DEA: A Case Study. IJIEPR 2025; 36 (1) :1-16
URL: http://ijiepr.iust.ac.ir/article-1-2022-en.html
Performance Evaluation of Micro and Small Industries in East Java Province, Indonesia Using SMA and DEA: A Case Study
Erni Puspanantasari Putri 1, Erwin Widodo2 , Jaka Purnama3 , Bonifacius Raditya Sri Pramana Putra4 , Agatha Hannabel Avnanta Puteri3
1- Department of Industrial Engineering, Universitas 17 Agustus 1945 Surabaya , erniputri@untag-sby.ac.id
2- Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
3- Department of Industrial Engineering, Universitas 17 Agustus 1945 Surabaya, Surabaya, Indonesia
4- Department of Informatics Engineering, Universitas 17 Agustus 1945 Surabaya, Surabaya, Indonesia
Abstract:   (834 Views)
Micro- and small-scale industries (MSIs) are the pillars of Indonesia’s national economy. MSIs face several issues as their businesses grow. Performance evaluation is one way to identify MSI’s effectiveness. The research objective is to evaluate the MSI’s performance in East Java Province, Indonesia. It is an effort to improve the MSI's performance. The stepwise modeling approach (SMA) and data envelopment analysis (DEA) methods were applied to identify MSIs' effectiveness, determine the classification of inefficient MSIs, and formulate an inefficient MSI development strategy. In the existing SMA concept, the remaining variables in the END step are the selected variables (model X-Y). This study proposes that variables from the initial step to step n+1 are considered in creating efficiency score models. There are five proposed models, including model 4X-3Y, model 3X-3Y, model 3X-2Y, model 2X-2Y, and model 2X-Y. The research result indicated that the proposed ES model 3X-3Y is the best. 54% inefficient and 46% efficient DMUs make up the model 3X-3Y. Six cities and fourteen regencies make up the inefficient SMI classification. Cluster_A (50%) consists of four cities and six regencies. Cluster_B (25%) consists of two cities and three regencies. Cluster_C contains two regencies (10%). Cluster_D comprises three regencies (15%).

 
Keywords: Performance evaluation, Stepwise modeling approach, Data envelopment analysis, Micro- and small-scale industries
Full-Text [PDF 557 kb]   (364 Downloads)    
Type of Study: Research | Subject: Productivity Improvement
Received: 2024/04/22 | Accepted: 2024/12/1 | Published: 2025/03/30
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.