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Analysis of the Risk Level of Work Accidents Using the Hirarc Method at PT. Inka Multi Solusi Fauzia, Lavina Felda; Joumil Aidil Saifuddin Z.S
ProBisnis : Jurnal Manajemen Vol. 16 No. 3 (2025): June: Management Science
Publisher : Lembaga Riset, Publikasi dan Konsultasi JONHARIONO

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Abstract

Occupational safety and health (K3) is something that needs to be considered by companies because it can affect the increasing effectiveness and productivity and can prevent things that can be detrimental from work accidents. Workers as one of the main resources in the running of the manufacturing industry, often experience health risks and occupational hazards such as minor accidents, and so on. At PT IMS itself, employees are very likely to experience work accidents that cause workers to be injured and production work time is reduced to lost due to these accidents because they are directly related to machines for production. By using the HIRARC method, it can be seen that of the 7 activities that have been identified in the metal production process at PT INKA Multi Solusi, there are 2 activities that fall into the moderate category, 2 activities that fall into the high category, and 3 activities that fall into the extreme category.
Analysis of Service Time Waste Using Lean Healthcare Method in the Neurology Outpatient Clinic : Analisis Pemborosan Waktu Pelayanan dengan Metode Lean Healthcare di Poli Syaraf Fauzia, Lavina Felda; Aryanny, Enny
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1678

Abstract

General Background: Healthcare organizations must reduce non–value-added (NVA) activities to improve patient experience and resource efficiency; Specific Background: the neurology outpatient clinic of Hospital XYZ experiences prolonged service cycles; Knowledge Gap: evidence is limited on combining end-to-end process mapping with structured risk prioritization to target time waste in outpatient pathways; Aims: this study identified dominant wastes and designed improvements using Lean Healthcare tools (Big Picture Mapping) and FMEA; Results: the baseline total service time was 9,158 s (2.54 h) with value-added time 837 s (9.14%) and NVA 89.99%, while the proposed future state reduced NVA time to 5,038 s (1.40 h) and increased value-added time to 16.61%; Novelty: the work integrates BPM-derived waste quantification with FMEA-based prioritization to translate waste diagnosis into actionable redesign; Implications: implementing streamlined registration (including online access), standard work, and routine facility maintenance can shorten outpatient lead time and support continuous quality improvement. Highlights: Baseline pathway shows very high NVA time (89.99%) versus value-added time (9.14%). Proposed future state cuts NVA time to 5,038 s (1.40 h) and raises value-added time to 16.61%. BPM + FMEA provides a practical workflow to quantify waste and prioritize fixes. Keywords: Lean Healthcare, Big Picture Mapping, FMEA, Outpatient Clinic, Service Time Waste