Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Industrial & System Engineering Journals (ISEJOU)
Mohamad Tsaqif Apta Laksono
Universitas W R Supratman
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pemetaan Tema, Metode, dan Kontribusi Value Engineering dalam Berbagai Sistem Teknik melalui Systematic literature review Moh Ainul Fais; Silvana Mohamad; Dedy Kunhadi; Djaffar Sodiq; Novid Hidayat; Mohamad Tsaqif Apta Laksono
Industrial & System Engineering Journals (ISEJOU) Vol. 4 No. 2 (2026): ISEJOU, Vol 4, No 2 Juni 2026
Publisher : Universitas Katolik Darma Cendika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Value Engineering (VE) has evolved from a cost-control technique into a Value Management approach integrating function, life-cycle cost, quality, sustainability, digitalization, and organizational capability. This study maps the themes, methods, and contributions of VE across engineering systems through a systematic literature review. The search generated 1,000 initial records. After deduplication, multistage screening, DOI and full-text verification, quality appraisal, and replacement of ineligible studies, a final corpus of 80 articles published in 2020–2026 was established. The articles were coded into seven themes, 21 subthemes, nine primary methods, ten integrative techniques, and ten contribution categories. Construction and infrastructure formed the largest theme (26.25%), while technical-economic case studies were the dominant method (31.25%). The most frequently reported contributions were cost efficiency (82.50%), decision quality (68.75%), and technical function or performance (55.00%). The review also identifies the growth of sustainability, BIM, automation, multi-criteria decision methods, and life-cycle costing. Major gaps concern inconsistent value metrics, the dominance of single-case studies, limited post-implementation evaluation, and uneven evidence across engineering systems. The study’s novelty lies in a quality-informed theme, method, and contribution evidence map.
Ergonomi Kognitif dalam Sistem Kerja dan Interaksi Manusia-Teknologi: Systematic Literature Review tentang Penerapan, Pengukuran, dan Luaran Silvana Mohamad; Moh. Ainul Fais; Dedy Kunhadi; Bambang Sutejo; Djaffar Sodiq; Novid Hidayat; Mohamad Tsaqif Apta Laksono
Industrial & System Engineering Journals (ISEJOU) Vol. 4 No. 2 (2026): ISEJOU, Vol 4, No 2 Juni 2026
Publisher : Universitas Katolik Darma Cendika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Digital work-system transformation intensifies human-technology interaction and creates a need to understand how cognitive ergonomics is applied, measured, and associated with human and system outcomes. This study maps cognitive ergonomics applications, mental-workload measurement approaches, and their relationships with performance, safety, usability, technology acceptance, and worker well-being. A systematic literature review was conducted on 52 full-text journal articles published from 2020 to 2026. Articles were selected through deduplication, multistage screening, DOI verification, quality appraisal, and extraction of 29 variables. The findings identify five application mechanisms: task and interface redesign, human-technology function allocation, cognitive-state monitoring, decision support and training, and integration into work systems. Measurement approaches include subjective ratings, performance measures, behavioral indicators, physiological and neurophysiological signals, task analysis, and multimodal assessment. Associations with outcomes are conditional because they vary according to task complexity, experience, age, duration, technology transparency, and environmental conditions. The review proposes a three-layer application-measurement-outcome framework in which workload functions as a linking mechanism and a source of feedback for redesign. The findings support multi-indicator evaluation, field validation, and designs that preserve cognitive fit, predictability, control, situation awareness, and recovery.
Co-Authors Bambang Sutejo Dedy Kunhadi Djaffar Sodiq Moh. Ainul Fais Novid Hidayat Silvana Mohamad