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INDONESIA
Jurnal Inkofar
Published by Politeknik Meta Industri
ISSN : -     EISSN : 25812920     DOI : https://doi.org/10.46846/jurnalinkofar.v9i1
Core Subject : Health, Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Medicine & Pharmacology Public Health Transportation
Inkofar adalah jurnal ilmiah multidisipliner yang memublikasikan hasil riset, tinjauan pustaka, studi kasus, dan komunikasi singkat pada ranah Teknik Industri, Ilmu Komputer/Teknologi Informasi, dan Ilmu Farmasi beserta irisan di antaranya
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 192 Documents
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ANALISIS POSTUR KERJA KARYAWAN BAGIAN PENGELASAN TIANG LAMPU JALAN DENGAN MENGGUNAKAN METODE QEC DAN RULA UNTUK MENINGKATKAN ERGONOMI DI PT.OPQ Kurnia, Tyas Eka; Chirswahyudi, Chirswahyudi; Harjuanto, Klangga Aziz
Jurnal Inkofar Vol 9, No 2 (2025)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46846/jurnalinkofar.v9i2.498

Abstract

The analysis was carried out in the process of welding street light poles at PT. OPQ, several operators in this section complained of pain in their body parts. Evaluation is carried out by measuring pain complaints using the Standard Nordic Questionnaire to determine whether there are physical complaints in employees. After that, the QEC and RULA methods were used to assess work posture risks. The analysis was carried out directly on assembling workers using 5 samples of body postures and the one with the highest risk level was the posture when carrying out the welding process, with a final score of 7 (seven) high risk levels, requiring action now. The cause of the high risk level is because they are still using manual systems and body postures that are not yet ergonomic. There is a need for adequate tools, namely: pulleys and work tables to improve company ergonomics and productivity
SEGMENTATION OF INNOVATION CAPABILITY IN BATIK SMES USING K-MEANS CLUSTERING Aditya, Reza; Achmad, Fandi
Jurnal Inkofar Vol 9, No 2 (2025)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46846/jurnalinkofar.v9i2.521

Abstract

Increasing global competitive pressures and sustainability demands encourage Small and Medium Enterprises (SMEs) to strengthen their Innovation Capability to maintain competitive advantage. In the batik creative industry, innovation capability is not only crucial for increasing competitiveness but also for maintaining the sustainability of cultural heritage. However, the level of Innovation Capability in Batik SMEs is still heterogeneous and has not been systematically mapped using a data-driven approach. This study aims to segment Batik SMEs based on Innovation Capability (IC) using the K-Means Clustering method. This study uses a quantitative approach involving 82 Batik SME owners or managers through a purposive sampling technique. Innovation capability is measured using five indicators (IC1–IC5) covering technology adoption, green process adjustment, customer collaboration, cross-functional coordination, and access to new technologies. Data are standardized using Z-score normalization before the clustering process. The optimal number of clusters is determined using the Elbow and Silhouette Coefficient methods, which produce the two best clusters (silhouette = 0.6179) based on a balance of model quality and interpretability. The research results show two main segments: the High Innovation Capability cluster and the Low Innovation Capability cluster. The High Innovation Capability cluster demonstrates superior performance across all indicators, particularly in process adaptation and cross-functional coordination. Conversely, the Low Innovation Capability cluster has limitations in technology adoption and access to innovation-supporting technologies. This research provides a theoretical contribution to strengthening the literature on innovation capability based on data segmentation in SMEs, as well as a practical contribution to formulating more targeted sustainability strategies.Keywords: Capability Innovation; Batik SMEs; Sustainability; Data-Based Segmentation; Clustering

Page 20 of 20 | Total Record : 192

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