Yudhistira, Gisya Amanda
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Identifikasi Risiko Rantai Pasok dengan Metode House of Risk (HOR) Hadi, Juniardo Akmal; Febrianti, Melinska Ayu; Yudhistira, Gisya Amanda; Qurtubi, Qurtubi
Performa: Media Ilmiah Teknik Industri Vol 19, No 2 (2020): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.19.2.46388

Abstract

Modern era has an impact on the manufacturing industry. Relate to technology to turn raw goods into finished goods. Look at competitive in competition between companies that are required to customer demand. PT XYZ is a textile company. The dynamic demand for fabrics has the impact of abundant inventory and uncertain raw material delivery waiting times make it difficult for the company to meet all demand. Risk identification using Failure Mode and Effect Analysis (FMEA) method, assessing the importance of the effectiveness business processes in the risk implications that occur. Then, the House of Risk (HOR) approach can be analyzed against potential risks in the company when conducting production and look at the degree of probability risk as well as the impact that occurs and impacts decision making so as not to be detrimental. The results of this study show that there are 5 risk events and 28 risk agents that become supply chain risks as well as recommendations to the priority risk agents
Analisis Beban Mental Pekerja untuk Perbaikan Sistem Kerja pada Konveksi XYZ dengan Metode NASA-TLX Yudhistira, Gisya Amanda; Febrianti, Melinska Ayu; Fathurrohman, Mohammad Arsyad
Performa: Media Ilmiah Teknik Industri Vol 19, No 2 (2020): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.19.2.46426

Abstract

The human resources for companies engaged in production are very important. One of the production companies that continues to experience increased demand is XYZ Convection Yogyakarta. Many demandsĀ  have an impact on worker conditions, especially with regard to mental workload. This can lead to a decrease in productivity at a time. The study aims to provide an evaluation of workers mental workload based on experimental calculations in experiments. In this study, subjective measurements were made with nasa-TLX method against tailors. There are six indicators to be compared and rated. Calculations from the study showed that the average employee mental workload was 54.08 and was in the high category. Then, analyze the factors that cause high mental load using fishbone diagrams and obtain several affecting factors such as lack of rest time, high demand, number of workers, maintenance of machinery, and environmental circumstances. This indicates that the high workload at XYZ convection is higher than the capacity of its workers.
Evaluasi Stasiun Kerja Industri Garmen dengan Motion Study Yudhistira, Gisya Amanda; Utami, Rona Sutra Dewangga Dyah; Astuti, Rahmaniyah Dwi; Qurtubi, Qurtubi
Performa: Media Ilmiah Teknik Industri Vol 22, No 1 (2023): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.22.1.72083

Abstract

Keberlanjutan suatu perusahaan berkaitan dengan kinerja sumber dayanya, dan tentu idak terlepas dari manajemen sumber daya manusia dan kegiatan operasional yang ada. Seperti pada industri garmen, banyaknya sumber daya harus dikelola dan diawasi dengan baik guna mencapai kinerja yang diinginkan. Hasil observasi awal ditemukan ada tidak kesesuaian antara rata-rata hasil produksi 40 unit per jam dengan ketercapaian produk yang ada yaitu 33 unit per jam. Sehingga perlu identifikasi lanjutan untuk menyelesaikan permasalahan ini. Menggunakan metode motion study, di proses proses penyatuan panel dan aksesoris, diketahui pada tangan kanan terdapat 99 gerakan efektif dan terdapat 10 gerakan tidak efektif, pada tangan kiri terdapat 16 gerakan efektif dan gerakan 21 tidak efektif. Di proses penjahitan zipper otomatis, pada tangan kanan terdapat 13 gerakan efektif dan tiga gerakan tidak efektif, pada tangan kiri terdapat 12 gerakan efektif dan 6 gerakan tidak efektif. Sehingga perbaikan layout sangat direkomendasikan untuk mengurangi ketidakefektifan gerakan kerja.