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Pendekatan Antropometri Kaki Orang Indonesia Pada Desain Master Shoe Last Bagi Industri Kecil dan Menengah Mohamad Arif Waskito; Caecilia Sri Wahyuning
Mudra Jurnal Seni Budaya Vol 34 No 3 (2019): September
Publisher : Institut Seni Indonesia Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31091/mudra.v34i3.532

Abstract

Penelitian ini bertujuan untuk mengevaluasi faktor yang memengaruhi kualitas shoe last (cetakan sepatu) di Industri Kecil dan Menengah (IKM) persepatuan dilihat dari ukuran (penomoran) dan bentuk shoe last tersebut. Produk sepatu dituntut memiliki kenyamanan sebagai salah satu aspek penting dalam perancangannya. Aspek kenyaman ditentukan oleh ukuran dan bentuk shoe last yang dipengaruhi oleh kualitas ketepatan ukuran dan bentuk master shoe last-nya. Kualitas ukuran dan bentuk shoe last belum dilihat sebagai salah satu aspek penting oleh pengrajin di IKM persepatuan. Umumnya mereka lebih mengutamakan aspek modelnya saja yang lebih diprioritaskan. Oleh karena itu, terdapat ketidakseragaman ukuran dalam penomoran sepatu dan ketidaksesuaian ukuran sepatu dengan standar ukuran pada sistem mondopoint maupun Eropa yang dibuat oleh para produsen. Selain itu, terjadi juga kesalahan proses pembentukan pada tahapan perancangan master shoe last. Perubahan bentuk kaki (punggung kaki/ lengkung kaki/ dan tumit) pada saat menggunakan sepatu/sandal dan high heel, kurang diperhatikan oleh para pembuat master shoe last sehingga bentuk yang dihasilkan tidak sesuai dengan karakter kaki pengguna, khususnya orang Indonesia. Hal penting lainnya yang harus diperhatikan dalam pembuatan master shoe last, terdapat pada bentuk bagian toe-box dan back counter. Hasil penelitian ini adalah dihasilkannya sebuah prototype master shoe last untuk jenis sepatu high heel, yang telah disesuaikan dengan antropometri kaki dan karakteristik kaki orang Indonesia.
Predicting Human Reliability based on Individual’s Resting Period: Effect of Physical Workload Rate Caecilia Sri Wahyuning; Saras Atiko
Jurnal Optimasi Sistem Industri Vol. 21 No. 2 (2022): Published in November 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v21.n2.p66-74.2022

Abstract

When a person is exposed to a prolonged workload, he/she enters a fatigue phase, the indication is the decline of cognitive performance that leading to human error. As an integral part of a system, human contributes to system reliability; therefore, it plays an important role in potential failure. Those, it is necessary to investigate how human reliability relates to physical workload rate, in order to predict maximum work duration to eliminate potential failure. A physical experiment involving 20 participants was conducted to generate medium workload, followed by Stroop test to observe selective attention and cognitive control as a form of cognitive performance. The physical workload was observed through energy expenditure and oxygen consumption during physical activity, and cognitive performance through response error time on the Stroop test. The usage of Weibull distribution was aimed to obtain reliabilities for each participant. There was a decline in reliability for all participants from one test to the other. Based on scale and form parameters, the prediction of resting time was based on mean time to human error (MTTHE), and from this experiment, varied MTTHE from each participant were obtained. The variation was created by differences in physical performance, cognitive capabilities, and other contributing factors such as environment and time of the implementation of the experiment. From this research, it was evident that human reliability can be utilized to predict potential failure in humans, which then implies a preventive action is necessitated to prevent failure from manifesting in the shape of taking a break/rest or reducing work rhythm. The application of human reliability in human resource management can be directed towards fatigue management and operator-related operational management.