# A study on industrial accident rate forecasting and program development of estimated zero accident time in Korea
> Kim T.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_79951569411
Jurnal / Konferensi: Industrial Health
Tahun terbit: 2011
DOI: https://doi.org/10.2486/indhealth.MS1174
ISSN: 00198366
Kuartil SJR: Q3
Citations: 7

## Authors
- Kim T.

## Abstract
To begin a zero accident campaign for industry, the first thing is to estimate the industrial accident rate and the zero accident time systematically. This paper considers the social and technical change of the business environment after beginning the zero accident campaign through quantitative time series analysis methods. These methods include sum of squared errors (SSE), regression analysis method (RAM), exponential smoothing method (ESM), double exponential smoothing method (DESM), auto-regressive integrated moving average (ARIMA) model, and the proposed analytic function method (AFM). The program is developed to estimate the accident rate, zero accident time and achievement probability of an efficient industrial environment. In this paper, MFC (Microsoft Foundation Class) software of Visual Studio 2008 was used to develop a zero accident program. The results of this paper will provide major information for industrial accident prevention and be an important part of stimulating the zero accident campaign within all industrial environments.

## Keywords
- Accident (philosophy)
- Exponential smoothing
- Autoregressive integrated moving average
- Zero (linguistics)
- Computer science
- Time series
- Engineering
- Statistics
- Operations research
- Mathematics
- Machine learning
- Epistemology
- Linguistics
- Philosophy

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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