ENHANCING ORGANIZATIONAL STRUCTURE IN ELECTRONICS SERVICE COMPANIES: A CASE STUDY OF PRIMA SERVICE RECOMMENDATION USING HIERARCHICAL CLUSTER ANALYSIS

Dublin Core

Title

ENHANCING ORGANIZATIONAL STRUCTURE IN ELECTRONICS SERVICE COMPANIES: A CASE STUDY OF PRIMA SERVICE RECOMMENDATION USING HIERARCHICAL CLUSTER ANALYSIS

Subject

POAC, Organization Structure, Hierarchical Cluster Analysis, Job Description

Description

This research aims to: (1) identify organizational inefficiencies at Prima Service, an electronics repair company with over 20 years of experience; (2) design a structured organizational framework to enhance operational performance; (3) establish clear roles and responsibilities through detailed job descriptions; and (4) standardize work processes with comprehensive operating procedures. Prima Service, based in Jakarta and Bekasi, provides repair services, maintenance processes, and product sales to both consumers and business clients. Despite its long-standing presence, the company faces challenges in Planning, Organizing, Actuating, and Controlling (POAC), including dual roles of the owner, lack of a standardized organizational structure, and undefined job descriptions. Using the Hierarchical Cluster Analysis method, with the average linkage dendrogram as a foundation, the study proposes an optimized organizational structure. Data collection involved direct observation and employee interviews to ensure alignment with operational needs. The resulting structure consists of five departments, supported by detailed job descriptions and standardized procedures. This research provides a practical model for addressing organizational challenges, improving efficiency, and supporting sustainable growth.

Creator

Calvienus Darrend Darmawan1*, Ceicalia Tesavrita2

Date

2024-12-11

Contributor

PERI IRAWAN

Format

PDF

Language

ENGLISH

Type

TEXT

Files

Citation

Calvienus Darrend Darmawan1*, Ceicalia Tesavrita2, “ENHANCING ORGANIZATIONAL STRUCTURE IN ELECTRONICS SERVICE COMPANIES: A CASE STUDY OF PRIMA SERVICE RECOMMENDATION USING HIERARCHICAL CLUSTER ANALYSIS,” Repository Horizon University Indonesia, accessed June 8, 2025, https://repository.horizon.ac.id/items/show/6904.