Analisis Pola Kerusakan dan Penanganan Laptop di PLN Icon Plus Sumbagut Menggunakan Exploratory Data Analysis

Authors

  • Mirza Azmi Zawahri Universitas Islam Negeri Sumatera Utara
  • Muhammad Miftah Ma’arif Universitas Islam Negeri Sumatera Utara
  • Muhammad Siddik Hasibuan Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.55606/jupikom.v5i3.8170

Abstract

The reliability and maintainability of operational hardware are essential elements that support daily business operations at PT PLN Icon Plus Sumbagut. This study seeks to examine trends in the deterioration of laptop hardware and software, uncover underlying reasons for malfunctions, and assess the effectiveness of solutions in the Managed Service & Professional Services (MSPC) sector. Employing the Exploratory Data Analysis (EDA) technique, an empirical examination was performed on daily maintenance logbook data that included 45 operational devices gathered during a thorough service interval. The analytical process includes data cleaning, analysis of univariate distributions, bivariate crosstabulation, and categorization of corrective actions. The results indicate that hardware-related problems make up 64.4% of all complaints, with liquid crystal display (LCD) panel damage (28.9%) and RAM module deterioration (20.0%) recognized as the primary types of failure. Moreover, instability in the operating system (22.2%) signifies the main software flaw. The execution of uniform troubleshooting procedures, part replacements, and OS reinstatement successfully revived device functionality, attaining a 100% resolution rate with an average mean time to repair (MTTR) of 1.8 business days. These analytical insights offer practical suggestions for proactive maintenance strategies and inventory resource distribution throughout PLN operational units.

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Published

2026-09-30

How to Cite

Mirza Azmi Zawahri, Muhammad Miftah Ma’arif, & Muhammad Siddik Hasibuan. (2026). Analisis Pola Kerusakan dan Penanganan Laptop di PLN Icon Plus Sumbagut Menggunakan Exploratory Data Analysis. Jurnal Publikasi Ilmu Komputer Dan Multimedia, 5(3), 320–325. https://doi.org/10.55606/jupikom.v5i3.8170

Issue

Vol. 5 No. 3 (2026): September: Jurnal Publikasi Ilmu Komputer dan Multimedia

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Articles

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