Analisis Dampak Human Error pada Proses Produksi Batu Pecah dengan Metode SHERPA dan HEART di PT. Varia Usaha Beton

Rizkyanto, Bayu (2018) Analisis Dampak Human Error pada Proses Produksi Batu Pecah dengan Metode SHERPA dan HEART di PT. Varia Usaha Beton. Sarjana thesis, Universitas Brawijaya.

Abstract

PT. Varia Usaha Beton adalah perusahaan yang tergerak dalam usaha penyediaan produk-produk beton siap pakai, beton precast, dan batu pecah, serta bahan bangunan lainnya yang berbahan baku semen (cement base). Sangatlah penting menjaga produktivitas perusahaan agar dapat memenuhi permintaan dari konsumen. Ditinjau dari data perusahaan pada periode November 2016- Maret 2017 terjadi permasalahan di PT. Varia Usaha Beton karena tidak dapat memenuhi permintaan konsumen. Adanya potensi human error yang terjadi pada lantai produksi disinyalir menjadi salah satu penyebab turunnya produktivitas perusahaan, seperti operator tidak menggunakan APD atau operator kurang memperhatikan mesin. Berdasarkan hal tersebut diperlukan penyelesaian atas permasalahan diatas agar perusahaan dapat membuat sistem kerja yang efektif dan efisien guna mencapai produktivitas yang tinggi. Pada penelitian ini penyelesaian masalah diatas dilakukan dengan metode SHERPA dan HEART. Systematic Human Error Reduction and Prediction approach (SHERPA) telah dikembangkan oleh Embrey (1986) sebagai teknik untuk memprediksi human error yang juga menganalisis tugas dan mengidentifikasi solusi potensial terhadap kesalahan-kesalahan tersebut secara terstruktur. Human Error Assessment and Reduction Technique (HEART) adalah teknik yang digunakan dalam bidang penilaian keandalan manusia (Human Reliability Assessment/HRA) untuk tujuan mengevaluasi probabilitas human error yang terjadi sepanjang penyelesaian tugas tertentu. Penelitian dilakukan pada lantai proses produksi mesin sekunder crusher. Penelitian dilakukan mulai breakdown keseluruhan task untuk selanjutnya dilakukan identifikasi dari masing-masing sub-task yang mungkin memiliki potensi muncul human error. Potensi human error yang telah diidentifikasi kemudian dihitung probabilitasnya hingga didapatkan 2 task dengan nilai probabilitas tertinggi. Berdasarkan penelitian yang dilakukan didapatkan 2 potensi human error dengan nilai probabilitas terbesar. Human error yang pertama yaitu pada task 1.3.2.3 yaitu memantau produk pada conveyor dengan nilai probabilitas sebesar 0,603 dan human error yang kedua pada task 1.1.2.4 yaitu membaca laporan kerja shift sebelumnya dengan nilai probabilitas sebesar 0,509. Terdapat 3 solusi perbaikan yang dapat diimplementasikan, pertama sistem informasi berbasis internet untuk memfasilitasi operator dalam berkomunikasi sekaligus mempermudah kantor pusat dalam melakukan pemantauan koordinasi kerja. Kedua yaitu menata ulang area kerja dengan beberapa penambahan seperti meja, komputer dan kamera pengawas. Ketiga yaitu membuat SOP kerja mulai dari awal kerja, briefing, hingga akhir kerja agar operator lebih disiplin dalam melaksanakan tugas sekaligus meminimasi terjadinya human error.

English Abstract

PT. Varia Usaha Beton is a company running its business in the field of providing ready-mixed concrete products, precast concrete, and crushed stone, as well as other building materials made of cement base. It is important to maintain the company productivities in order to meet consumers’ demand. Based on the data of the company in the period of November 2016 – March 2017, a problem found faced by PT. Varia Usaha Beton as it could not meet consumer demand. The existence of human error potential occurring on the production floor was pointed to be one of the causes of the decline in the company productivity such as operators did not use PPE or operator less paid attention to the machine. Hence, it is necessary to solve the above problems in order for the company to create an effective and efficient working system to achieve high productivity. The problem solving was done by SHERPA and HEART method. The systematic human error reduction and prediction approach (SHERPA) was developed by Embrey (1986) as a human-error prediction technique that also analyzes tasks and identifies potential solutions to errors in a structured manner. Human error assessment and reduction technique (HEART) is a technique used in the field of human reliability assessment (HRA), for the purposes of evaluating the probability of a human error occurring throughout the completion of a specific task. The research was conducted on the floor of secondary crushing machine production process by breaking down the entire tasks and then identifying each sub-task that might potentially lead to human error. The probability of the emergence of identified human error potentials was then calculated to obtain two tasks with the highest probability values. Based on the research conducted, two potential human errors with the greatest probability values were obtained. The first human error occured in the task 1.3.2.3, that is, the process of monitoring the product on the conveyor with a probability value of 0.603, while the second human error was found in task 1.1.2.4, that is, in the process of reading the work report of previous shift with a probability value of 0.509. There are three solutions proposed to be implemented in doing improvement are; first, internet-based information system to facilitate operators in communicating and simultaneously to facilitate the head office in monitoring work coordination. The second is to re-layout the work area with some additions such as desks, computers and surveillance cameras. The third is making SOP of working processes from the beginning of work, briefings, until the end of the work which is intended to make the operator be more disciplined in carrying out their tasks and at the same time to minimize the occurrence of human errors.

Item Type: Thesis (Sarjana)
Identification Number: SKR/FT/2018/16/051800497
Uncontrolled Keywords: Batu Pecah, Human Error, Human Error Assesment and Reduction Technique, Systematic Human Error Reduction and Prediction Approach
Subjects: 600 Technology (Applied sciences) > 670 Manufacturing > 670.4 Special topics of manufacturing
Divisions: Fakultas Teknik > Teknik Industri
Depositing User: Budi Wahyono Wahyono
Date Deposited: 26 Mar 2018 04:20
Last Modified: 16 Oct 2021 03:45
URI: http://repository.ub.ac.id/id/eprint/8945
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