Keberadaan Usaha Mikro Kecil Menengah (UMKM) di Jawa Timur khususnya di Kota XYZ sangat strategis dan dibutuhkan upaya meningkatkan perekonomian masyarakat sekitarnya. Masyarakat XYZ sudah cukup terkenal dengan industri kecilnya dalam membuat Batik, baik Batik Tulis maupun Batik Cap yang sudah banyak berkembang di Kota XYZ. Tetapi di luar XYZ, UMKM Batik XYZ masih belum sepenuhnya mampu bersaing dengan UMKM Batik dari daerah lain, terutama dengan UMKM Batik dari pulau Jawa. Dari keterangan tersebut dapat dilihat bahwa salah satu permasalahan UMKM Batik di Kota XYZ adalah masih kurang kuatnya kemampuan bersaing bila dibandingkan dengan UMKM Batik dari daerah lain. Oleh karena itu perlu kiranya dilakukan penelitian tentang faktor-faktor apa saja yang mempengaruhi daya saing UMKM Batik Cap di Kota XYZ menggunakan analisis Partial Least Square (PLS). hasil yang ditunjukan pada penelitian ini yaitu menunjukkan bahwa 74,8% variabel daya saing (Dy) yang dipengaruhi oleh sumber daya, infrastruktur, produk, IPTEK, kemampuan usaha, dukungan eksternal, kebijakan pemerintah dan 50,7% variable kemampuan bersaing (Kb) yang dipengaruhi oleh daya saing (Dy) Dimana ada empat faktor yang bernilai postif (sumber daya, infrasturktur, kemampuan usaha, dan produk) ada tiga faktor yang bernilai negative (kebijakan pemerintah, dukungan eksternal, dan iptek) yang berarti hubungan mengarah ke negative dimana malah mengurangi daya saing bagi mereka. dimana daya saing sangat berpengaruh untuk kemampuan bersaing berkelanjutan bagi umkm batik kab.XYZ. Kata kunci : Daya Saing UMKM, Partial Least Square
PT. XY is a manufacturing company in Surabaya that produces household hygienic goods, such as soap bars and liquid soap. It is known that the actual condition of production in the company is still not optimal due to the uneven workload at each work station. This also results in workers experiencing excessive workloads that cause fatigue or illness, and there are more unemployed, causing decreased performance. According to the problems above, this research was conducted to determine the value of the workload received and to find out the optimal number of workers so that in the future work can be more effective and efficient. Solving workload analysis problems in this study using the Full Time Equivalent method. Based on the results of the study, it was known that the workload of the bar soap production section was 16 people, 3 people were found in the Normal category and 13 people experienced the workload in the Overload category. While the results of the workload of the liquid soap production section were 19 people, 6 people were found in the Normal category and 13 people experienced a workload in the Underload category. For calculating the optimal number of workers, the results obtained for the production of bar soap need to add 7 people to the workforce and liquid soap production to reduce the workforce by 3 people.
Excessive work fatigue felt by workers due to the addition of working hours or overtime, a less ergonomic work environment is felt by employees who work at PT. XY, workers complained about the large demands of the tasks they received with insufficient rest time, some workers remained focused and concentrated for a long time resulting in physical and psychological workloads on workers. To resolve the problem, a questionnaire was distributed to the entire population of 40 powder production workers using the NASATLX method with a focus on 6 indicators, namely mental needs, physical needs, time requirements, work performance, effort, and frustration levels as well as the KEP/75/M.PAN/7/2004. The purpose of this research is to analyze the workload of powder production workers, determine the dominant indicators based on the NASA-TLX method and determine the optimal number of workers based on KEP/75/M.PAN/7/2004. From this study, the results of the workload of 40 workers were 9 workers in the rather high category, 30 workers in the high category, and 1 worker in the very high category. The number of workers 40 is optimal but the workload is not good enough.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.