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Leveraging Social Network Analysis for Enhancing Safety Reporting in the Workplace: A Case Study of the IZAT Application

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Unsafe Condition Reporting is an important source of information for companies to
determine whether the reporting can be identified effectively as the key to reducing work
accidents. This research aims to ascertain the Social Network Analysis visualization network in
the context of reporting unsafe conditions in the IZAT application and categorizing data
processing outcomes. The findings revealed that the data collection process yielded 26,658 data
items. The Unsafe Condition content comprised 79,667 words, with 2,388 unique words identified.
The average number of occurrences per word was 33.36139. Certain network property calculations
can be inferred from these results. Then, the word mapping with five related topics was carried
out. The results of the categorization of the unsafe condition word mapping can be used as evaluation
material for companies to prevent work accidents. In particular, the network visualization results
can identify the most discussed topics and social network relationships of reporting in the IZAT
application.

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Ketersediaan

UIB00007702

Tersedia

Informasi Detail

Judul Seri

Jurnal Teknik Industri Universitas Kristen Petra (JTI-UKP)

No. Panggil

-

Penerbit

Surabaya : Universitas Kristen Petra., 2024

Deskripsi Fisik

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Bahasa

Bahasa

ISBN/ISSN

2087-7439

Klasifikasi

NONE

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

Vol. 26, No. 1

Subjek

Teknik industri

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Perpustakaan Islam Batik

Versi lain/terkait

Lampiran Berkas

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