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DESAIN PERBAIKAN POSTUR KERJA OPERATOR MAINTENANCE PADA PT MININDO MENGGUNAKAN SOFTWARE SOLIDWORK DENGAN PENDEKATAN ANTROPOMETRI Marulan Andivas; Dimaz Harits; Agus Hindarto Wibowo; Riandimas Nursava Putra
JURNAL PERANGKAT LUNAK Vol 5 No 3 (2023): Jurnal Perangkat Lunak
Publisher : Indragiri Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/jupel.v5i3.2795

Abstract

When working on diesel engine repairs, operators at PT. Minindo mostly does its job by sitting on the machine it is working on. The operator's job analysis was carried out using the REBA method, based on the analysis a score of 11 was obtained which means that the risk is very high so that work methods are needed to be improved. The proposed improvement is to make a staircase design using Indonesian anthropometric data. The ladder design is made so that the operator does not have to be on top of the machine when working, because there is a risk of falling and musculoskeletal disorders Based on data processing, the height of the ladder is 137cm, the height of the top rung is 115cm, the width of the ladder is 177cm, the width of the steps is 20cm, the depth of storage for tools is 81cm, the width for storing tools is 47cm. The ladder is expected to reduce the risk of accidents, as well as improve the work posture of PT. Minindo. The stairs sizes obtained are then applied to Solidwork software.
Pathways to Electric Two-Wheeler Adoption in Emerging Markets: A Scoping Review and Empirical Validation of Consumer Behaviour Wibowo, Agus Hindarto; Singgih, Moses Laksono; Wirjodirdjo, Budisantoso
Automotive Experiences Vol. 9 No. 2 (2026)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.16387

Abstract

The electrification of two-wheelers (E2Ws) is increasingly recognised as a high-impact decarbonisation strategy in emerging Asian markets, where motorcycles are the dominant mode of transport. However, the literature remains fragmented, and behavioural studies consistently report a persistent gap between stated adoption intentions and actual purchase behaviour. This study provides a robust empirical proxy to address these limitations through a two-phase hybrid approach: a scoping review and bibliometric analysis (ScoRBA) of 278 Scopus-indexed articles, synthesised using the PAGER framework, followed by empirical validation via a multi-model machine learning approach applied to a stated-preference dataset of 6,040 respondents from Solo, Indonesia. Bibliometric mapping identified three core socio-technical research clusters. The empirical analysis revealed a finding that departs substantially from prevailing assumptions: Perceived E-bike Quality, not financial incentives or operational costs, emerged as the dominant predictor of adoption. While initially identified via a baseline Decision Tree, this dominance was robustly validated across advanced ensemble algorithms and confirmed via SHAP analysis (Mean |SHAP Value| = 17.88%). Correctly situated within the technology perception dimension of the Technology Acceptance Model (TAM), this variable's dominance implies a sequential cognitive architecture: technology credibility must be established before economic evaluation becomes relevant. Consequently, policymakers in similar motorcycle-dominated transitional markets should prioritise quality certification and demonstration programmes before deploying purchase subsidies at scale.