Penggunaan intelligence algorithm untuk penilaian keamanan kerja operator berdasarkan indikator HSEE (health, safety, enviroment; ergomics) studi kasus : PT. Dempo Laser Metalindo Indonesia

Adiguna, Hutomo Dwiki (2015) Penggunaan intelligence algorithm untuk penilaian keamanan kerja operator berdasarkan indikator HSEE (health, safety, enviroment; ergomics) studi kasus : PT. Dempo Laser Metalindo Indonesia. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penilaian tingkat keamanan kerja digunakan untuk mengetahui kemungkinan atau peluang seorang individu dapat kehilangan pekerjaannya yang disebabkan oleh kecelakaan kerja. Perancangan kuesioner digunakan untuk mendapatkan data yang akurat sesuai kebutuhan. Pertanyaan pada kuisioner yang berhubungan dengan faktor HSEE digunakan sebagai input variabel sedangkan faktor job security digunakan sebagai output variabel. Analisis data dilakukan dengan metode Adaptive Network Based Fuzzy Inference System (ANFIS). Kriteria nilai MAPE paling minimum didapatkan pada model ANFIS dengan fungsi input GaussMF, empat MF, operator AND (min), dan fungsi output linear. Berdasarkan model ANFIS tersebut maka diketahui sebagian besar responden menyatakan puas terhadap kondisi keamanan kerja.
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HSEE concept aims to reduce the level of occupational accidents, health problems, and environmental impact. Job Security is the probability or opportunities an individual can lose his job due to workplace accident. Based on observations in PT Dempo Laser Metalindo Indonesia, note that there were no instructions or documentation of job security regulations on the production floor. Design of questionnaire used to obtain accurate data according to needs. The question associated with HSEE factor used as input variabel while job security used as output variable. Data analysis done with Adaptive Network Based Fuzzy Inference System (ANFIS). Minimum criteria MAPE value obtained with an input function GaussMF, four MF, operator AND (min), and output function linear. Based on the ANFIS model then known the majority of respondents said satisfied with the condition of job security.

Item Type: Thesis (Other)
Additional Information: RSI 629.836 Adi p
Uncontrolled Keywords: ANFIS, Ergonomi, HSEE, Job Security
Subjects: T Technology > T Technology (General) > T55 Industrial Safety
T Technology > TJ Mechanical engineering and machinery > TJ217 Adaptive control systems
Divisions: Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User: - Davi Wah
Date Deposited: 14 Mar 2019 03:37
Last Modified: 01 Mar 2024 07:44
URI: http://repository.its.ac.id/id/eprint/62491

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