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All Journal JERA : Journal of Engineering Research and Application
Beta Arya Ash Shidik Arya
Universitas Selamat Sri
Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Transportation

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Analisis Human Error pada Proses Foto Copy Menggunakan Metode Human Error Identification in Systems Tool (Studi Kasus Toko Gembyang) Beta Arya Ash Shidik Arya; Sufrotun Khasanah; Sido Dea Auvia
JERA : Journal of Engineering Research and Application Vol 2 No 1 (2023): JERA : Journal of Engineering and Application Research
Publisher : Fakultas Teknik dan Rekayasa

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Abstract

Toko Gembyang merupakan salah satu UMKM penyedia jasa layanan foto copy di kabupaten Pemalang. Terdapat permasalahan human error pada penggunaan mesin, sebagai contoh akibat dari human error yang terjadi yaitu hasil ukuran kertas yang salah, hasil foto copy kurang jelas, foto copy bolak balik tidak presisi, kertas macet didalam mesin dll. Sehingga perlu dilakukan analisis untuk mengetahui faktor penyebab terjadinya human error pada jasa pelayanan foto copy di Toko Gembyang, dengan tujuan agar dapat mengurangi terjadinya kejadian human error yang dapat mempengaruhi efektifitas, keselamatan atau performa sistem. Identifikasi dan analisis human error yang dilakukan pada penelitian ini menggunakan metode Human error Identification in Systems Tool (HEIST). Berdasarkan hasil penelitian, diketahui bahwa tugas yang sering terjadi kesalahan yaitu pada saat melakukan foto copy KTP bolak balik. Kesalahan yang dilakukan yaitu pada proses membalik KTP dan meletakkan kertas kedalam box kertas di mesin foto copy dengan posisi yang tidak sesuai. Hal tersebut menyebabkan hasil foto copy KTP bolak balik yang keluar tidak presisi antara sisi ke 1 dan sisi ke 2 bahkan bisa sampai berlawanan letak. Saran yang diberikan untuk mengurangi kesalahan yang disebabkan human error yaitu dengan melakukan pelatihan kepada pegawai, dan memotivasi pegawai agar lebih menghafalkan letak dan posisi kertas saat melakukan foto copy. Serta memberikan tanda pada samping-samping layar foto copy agar memudahkan pengoprasian. Kata kunci : UMKM, human error, HEIST
Analisis Beban Kerja Mental Pegawai PKBM Mutiara Menggunakan Metode Nasa Task Load Index Beta Arya Ash Shidik Arya; Yohandika Tri Apriliyanto
JERA : Journal of Engineering Research and Application Vol 3 No 1 (2024): JERA : Journal of Engineering Research and Application
Publisher : Fakultas Teknik dan Rekayasa

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Abstract

PKBM Mutiara is a non-formal education institution in Pemalang district which was founded in 2007. Currently PKBM Mutiara has 15 employees who have different duties and responsibilities. The chairman of PKBM stated that recently there had been complaints of work fatigue from several employees. Therefore, PKBM Mutiara wants to know the workload borne by each employee. The workload analysis method used is the NASA TLX method (National Aeronautics and Space Administration Task Load Index). Employees will assess their workload conditions based on 6 dimensional measurement factors, namely Mental Needs (KM), Time Needs (KW), Physical Needs (KF), Effort (U), Work Performance (PK), and Frustration Level (TF). Based on the calculation of employee workload scores at PKBM Mutiara, It is known that there are 2 employees whose workload is in the "very high" category, 10 employees have a "high" workload, and 3 employees have a "medium" workload. The identification results using the fishbone diagram show that the high workload of PKBM Mutiara employees is influenced by methods and human factors. Proposed improvements to increase employee workload levels are: 1. Distribution of duties and responsibilities according to employee abilities; 2. Reduce the workload of secretaries by recruiting special employees for dapodik operators; 3. Encourage the Education Department to create a technical manual for PKBM management; 4. Carrying out online teaching and learning process training for tutors; 5. Create a system such as Google form or similar for the registration process for prospective new students.
Co-Authors Sido Dea Auvia Sufrotun Khasanah Yohandika Tri Apriliyanto