DEVELOPMENT POTENTIAL OF SMALL AND MEDIUM ENTERPRISES BASED ON SPATIAL CONCENTRATION IN SARBAGITA AREA

Several studies have found that disparities still exist between regions within the Sarbagita area. As a driving force for the regional economy, the role of Small and Medium Enterprises (SMEs) is important to be developed based on their potential in solving these problems. This study aimed to identify the potential of each type of SME based on aspects of specialisation and spatial concentration using the Krugman Index, Hoover Ballasa Index, and LISA analysis methods. The data used in this study is based on the number of SME units in each area of the Sarbagita Area which are grouped based on eight categories of SME types. The research found that the specialisation categories of SME types from highest to lowest, namely: iron and steel; non-metallic mineral; wood goods; textile and apparel; printing and publishing; basic chemical; fertilizers, and plastic equipment, metal goods; food and beverage. The results of this study also show that there are concentrations and spatial relationship patterns of each type of SME with High-High (H-H), High-Low (H-L), Low-High (L-H), and Low-Low (L-L) patterns. This spatial information is expected to be a reference for directing SME development strategies in the Sarbagita area. Keywords: small and medium industry; spatial concentration; Sarbagita area

Authors

Institutions

Publication Details

Journal
Jurnal Teknologi Industri Pertanian
Published
2025-08-30
DOI
https://doi.org/10.24961/j.tek.ind.pert.2025.35.2.186
Primary Topic
Economic Growth and Fiscal Policies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DEVELOPMENT POTENTIAL OF SMALL AND MEDIUM ENTERPRISES BASED ON SPATIAL CONCENTRATION IN SARBAGITA AREA

Hari Agung Adrianto, Khursatul Munibah, Agape Lumbantobing
Jurnal Teknologi Industri Pertanian
Economic Growth and Fiscal Policies
article

DEVELOPMENT POTENTIAL OF SMALL AND MEDIUM ENTERPRISES BASED ON SPATIAL CONCENTRATION IN SARBAGITA AREA

Hari Agung Adrianto, Khursatul Munibah, Agape Lumbantobing
article en

Abstract

Several studies have found that disparities still exist between regions within the Sarbagita area. As a driving force for the regional economy, the role of Small and Medium Enterprises (SMEs) is important to be developed based on their potential in solving these problems. This study aimed to identify the potential of each type of SME based on aspects of specialisation and spatial concentration using the Krugman Index, Hoover Ballasa Index, and LISA analysis methods. The data used in this study is based on the number of SME units in each area of the Sarbagita Area which are grouped based on eight categories of SME types. The research found that the specialisation categories of SME types from highest to lowest, namely: iron and steel; non-metallic mineral; wood goods; textile and apparel; printing and publishing; basic chemical; fertilizers, and plastic equipment, metal goods; food and beverage. The results of this study also show that there are concentrations and spatial relationship patterns of each type of SME with High-High (H-H), High-Low (H-L), Low-High (L-H), and Low-Low (L-L) patterns. This spatial information is expected to be a reference for directing SME development strategies in the Sarbagita area. Keywords: small and medium industry; spatial concentration; Sarbagita area

Jurnal Teknologi Industri PertanianVol. 35(2)
IPB University (ID), Resource Development Institute (US)
Openalex Percentile: Top 69%
Economic Growth and Fiscal Policies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.