scholarly journals Identifikasi Human Error Pada Rantai Pasok UMKM Roti

Author(s):  
Dini Wahyuni ◽  
Yuli Santa Elisa Bagariang

Kesuksesan usaha mikro kecil menengah dipengaruhi oleh kegiatan-kegiatan supply chain sehingga harus terjalin hubungan baik di dalamnya. Peran manusia sebagai tenaga kerja pada usaha mikro kecil menengah dominan mempengaruhi kualitas produk yang dihasilkan, karena operator memiliki peluang melakukan kesalahan. Penelitian ini bertujuan menganalisis human error pada rantai pasok UMKM makanan di kota Medan dengan adopsi model SCOR (Supply Chain Operations Reference). Metode HEART (Human Error Assessment and Reduction Technique) digunakan untuk mengetahui human error dan tingkat probabilitas human error pada UMKM makanan. Berdasarkan hasil perhitungan nilai assessed effect (AE) diperoleh total AE terbesar pada proses make dengan nilai sebesar 58,69. Human Error Probability (HEP) terbesar terdapat pada proses pengisian adonan dengan varian rasa yang diinginkan oleh konsumen, dengan nilai Human Error Probability (HEP) sebesar 5,282. Dari hasil penelitian dapat menjadi acuan menyusun rencana perbaikan agar human error dapat tereduksi.   The success of micro, small and medium enterprises is influenced by supply chain activities, so there must be a good relationship within it. The role of humans as workers in micro, small and medium businesses predominantly affects the quality of the products produced, because operators have the opportunity to make mistakes. This study aims to analyze human error in the food MSME supply chain in Medan by adopting the SCOR (Supply Chain Operations Reference) model. The HEART (Human Error Assessment and Reduction Technique) method is used to determine human error and the level of human error probability at food MSMEs. Based on the calculation of the assessed effect (AE) value, the largest total AE was obtained in the make process with a value of 58.69. The biggest Human Error Probability (HEP) is in the process of filling the dough with the flavor variants desired by consumers, with a value of Human Error Probability (HEP) of 5.282. From the results of the study can be a reference to draw up plans for improvement so that human error can be reduced.

2020 ◽  
Vol 5 (2) ◽  
pp. 62-69
Author(s):  
Mitasya Susilo

Traffic accidents, especially with a large capacity such as bus, can be caused by several factors. According to the Indonesian Directorate General of Land Transportation of the Ministry of Transportation in 2012, the factors causing traffic accidents in Indonesia are a human factor of 93.52%, vehicle factor by 2.76%, road factor 3.23%, and environmental factor by 0.49%. Therefore, research is needed to identify which human error has the greatest probability of accident cause using Systematic Human Error Reduction and Prediction Approach (SHERPA) method to identify job desk using Hierarchical Task Analysis (HTA) and Human Error Assessment Reduction Technique (HEART) method to calculate Human Error Probability (HEP). Based on the calculation of Human Error Probability value known the highest HEP value is not running the vehicle in accordance with the provisions of the speed that has been set with 0.375. Next is not to record or forget to record the damage that occurred during the trip with a value of 0.21. It did not check Bus equipment with a HEP value of 0.19, did not report when there was a problem on the street with a HEP value of 0.18 and did not break for the next preparation for departure with a HEP value of 0.15


2021 ◽  
Vol 5 (2) ◽  
pp. 1-17
Author(s):  
Gülin Feryal Can

Human Error Assessment and Reduction Technique (HEART) is a practical and powerful approach to prioritize errors related to human actions, based on probabilities. HEART can determine error producing conditions (EPCs) which cause human errors for different processes including main duties (MDs) and sub-duties (SDs). HEART can be applied quickly for any process where human reliability is important. In this study, HEART and advanced version of Decision Making Trial and Evaluation Laboratory (AV-DEMATEL) integration proposed by Can and Delice in 2018 was performed for evaluating human related errors in steam boiler working process. In this way, the interactions between MDs, SDs and EPCs in a steam boiler working process were considered to compute process error probability (PEP). Additionally, the applicability of the proposed approach by Can and Delice (2018) was demonstrated again.


Author(s):  
Yustina Ngatilah ◽  
Endang Pudji W ◽  
Rr Rochmoeljati ◽  
Tranggono Tranggono

Seluruh industri pasti memiliki keinginan untuk memiliki zero accident. Namun pada kenyataannya banyak perusahaan yang memiliki angka kecelakaan yang tinggi tiap tahunnya. Human Reliability Assessment merupakan salah satu metode untuk memberi usulan alternatif pengurangan terhadap kecelakaan kerja yang terjadi. Dimana langkah yang digunakan yakni mengumpulkan data kecelakaan kerja,data Task Analysis Sistem dan data identifikasi kegagalan. Pengolahan yang dilakukan yakni dengan penggambaran kecelakaan kerja menggunakan Fault Tree Analysis,kemudian kuantifikasi nilai Human Error Probability dengan metode Human Error And Reduction Technique dan pada akhirnya akan ditemukan usulan alternatif pengurangan kecelakaan kerja. Hasil dari penelitian ini adalah mengidentifikasi kesalahan manusia yang menimbulkan kecelakaan kerja. Kesalahan karyawan tersebut antara lain posisi pemotongan kurang benar dengan probabilitas tertinggi yaitu 0,728, untuk yang lain seperti gagal memposisikan saat pengambilan material, salah posisi dalam melakukan prosedur,tidak fokus dalam melakukan proses,tidak memperhatikan posisi kayu dan terburu-buru dalam melakukan prosedur probabilitasnya dibawah 0,728.


2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Irfan Widya Julianto ◽  
Hana Catur Wahyuni

Pt X is a company that produces steel pipe of various shapes and size. In the production procces not only using machines but also using humans as operators. So in this case humans play an important role in maintaining the quality of production. The purpose of this study is to analyze the human error probability with  Human Error Assessment and Reduction Technique method (HEART). HEART is a method designed as a fast and simple human reliability assessment in quantifying the risk of human error. From this research, it was found that 3 tasks had a high HEP value which caused the decline in pipe quality during the production process, namely task 3.2, 4.1 and task 3.4. Which has the highest HEP value on task 3.2, namely setting the machine with a value of 0,7680. The cause is due to the lack of operator expertice and the center roll was not carried out when installing it, so that training is needed to increase operator expertice.


2017 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Dian Mardi Safitri ◽  
Ayu Rachma Astriaty ◽  
Nataya C. Rizani

Human realibility is a big tricky problem. Human failure rates depend on three main factors, namely<br />intrinsic, work environment, and stress. PT. X is a supplier for PT. LG Indonesia manufacturing products<br />made from plastics. Human Realibility Assesment is conducted using HEART methods (Human Error<br />Assessment and Reduction Technique). In the first phase, task analysis on operators’ activities is done using<br />Hierarchical Task Analysis (HTA). The largest Human Error Probability was found when Operator No. 1<br />did not insert the flash side carefully. The value of this probability is 0.53424. This factor is concluded as the<br />main cause to shroud defectives, which results in customer penalyzing the company.


2012 ◽  
Vol 100 ◽  
pp. 28-32 ◽  
Author(s):  
Zhiqiang Sun ◽  
Zhengyi Li ◽  
Erling Gong ◽  
Hongwei Xie

2018 ◽  
Vol 204 ◽  
pp. 05012 ◽  
Author(s):  
Annisya Arumy Nurdiawati ◽  
Lukman Handoko ◽  
Am Maisarah Disrinama ◽  
Haidar Natsir Amrullah ◽  
Denny Dermawan ◽  
...  

The accident record from a steel fabrication company in 2014-2017 shows that the most frequent accidents take place in overhead crane operation with a percentage of 42%. The overhead crane operation has the greatest potential of accidents with human error as the main cause. The purpose of this study is to determine what factors affect the occurrence of errors, to know how much HEPs, and to determine recommendations. The method used in this research is Success Likelihood Index Method (SLIM) with qualitative development using Decision Making Trial and Evaluation Laboratory (DEMATEL) which aims to establish the relationship among PSFs to be an easily comprehensible structured model by considering expert judgements and to solve dependency in a set of criteria. Analytic Network Process (ANP) is used to overcome the inconsistency of expert judgements and difficulty in selection and weighting. The calculation and analysis reveal that the highest Human Error Probability (HEP) value is shown by the task to handling or lifting with the value 0.000485. Impact assessment using the HEP value to determine probability and consequence is performed by expert judgements. Improvement recommendations are prioritized for high rating error tasks using Error Reduction Analysis.


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