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All Journal Journal of Engineering and Management in Industrial System Sistemasi: Jurnal Sistem Informasi Journal of Industrial Engineering Management Jurnal Media Teknik dan Sistem Industri Jurnal Teknik Industri Terintegrasi (JUTIN) Journal of Digital Marketing and Halal Industry Journal of Advanced in Information and Industrial Technology (JAIIT) JENIUS: Jurnal Terapan Teknik Industri Indonesian Journal of Industrial Engineering & Management BEMAS: Jurnal Bermasyarakat Jurnal Pengabdian Masyarakat Aufa (JPMA) Abdimas Awang Long: Jurnal Pengabdian dan Pemberdayaan Masyarakat RESLAJ: Religion Education Social Laa Roiba Journal INOVTEK Polbeng - Seri Informatika Spektrum Industri
Huki Chandra
Telkom University, Indonesia
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation Other

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Systematic Risk Analysis of Railway Component Quality: Integration of Failure Mode & Effect Analysis (FMEA) and Fault Tree Analysis (FTA) Andy Prastyabudi, Wahyu; Faharga, Rafidsyah Aldin; Chandra, Huki
Spektrum Industri Vol. 22 No. 2 (2024): Spektrum Industri - October 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v22i2.223

Abstract

Quality assurance is a critical aspect in the production systems, affecting product quality and safety. Defects and failures of manufactured components will diminish overall product quality, which could vulnerably risk consumer safety. This study focuses on quality assurance analysis of train component manufacturing systems. According to the quality control data, the number of defects recorded was about 10-12, on average, for each wagon produced. The defect mainly occurred while making the underframes, car body, and even the small components. This led to the tardiness of product delivery for 1-2 months. This study aims to analyze non-conformance report data and identify the potential failure modes, potential effects, and root causes. To do so, we integrated systematically FMEA (Failure Mode and Effect Analysis) and FTA (Fault Tree Analysis). First, RPN (Risk Priority Number) score was calculated to determine risk priority. Second, Pareto analysis was performed to select defects that most contributing to overall failures, which were then analyzed using FTA to obtain root causes. The results show that 8 defects exceed the critical RPN score of 209. Materials and personnel are identified as two major contributor failure events from three selected defects. The recommendation for further improvements is provided based on various defect categories to prevent similar defects. The findings demonstrate that the combined use of FMEA and FTA is effective in identifying failures and root causes within complex and long production cycle systems.
THE INFLUENCE OF NOISE ON COGNITIVE PERFORMANCE Chandra, Huki; Wahyuni, Ayu Endah
Journal of Industrial Engineering Management Vol 9, No 1 (2024): Journal of Industrial Engineering and Management Vol 9 No 1
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v9i1.1720

Abstract

Human performance is affected by several factors related to work and workplace conditions, including occupational noise.  Noise can affect work and mental performance parameters such as memory, attention, concentration, and reaction time. Reaction time in response to a situation can significantly impact our lives because of its practical implications. Environmental noise invades the learning space and has a negative effect on students' cognitive performance. This study considers the presence of noise factors on students' cognitive performance. High cognitive performance is needed by students, especially in lecture material that requires high memory. Aspects of cognitive ergonomics are included in this study because it examines how people interact with noisy environments. In this study, measuring cognitive performance was carried out by measuring reaction time, number memory performance, and sequence memory performance. Based on the statistical tests in this study, it can be concluded that there is no significant effect of gender on reaction time, number memory, and sequence memory in conditions with noise and without noise. The presence of noise can significantly reduce the performance of sequence memory. Number memory performance decreases in the presence of noise, but not significantly. The reaction time required to respond to the stimulus is longer in the presence of noise, but not significant.
Co-Authors Abduh Sayid Albana Adhitya Rinda Wahyu Purnama Agnia, Nilna Ahmad Nur Rosyid Ahmad, Imaniar Andy Prastyabudi, Wahyu Angeli, Febrin Claudia Ardianto, Yashmine Mela Arif, Benazir Imam Ayu Endah Wahyuni Benazir Imam Arif Muttaqin Faharga, Rafidsyah Aldin Farah Annisa Yasmine Friska Nur Azizah Hamidah, Dwi Nur Azizah Hawwin Mardhiana Iztihar, Jauhara Kurnia, Ishak Rizaldy Eka Maulidia Eka Erlina Muhammad Fikri Julianugerah Nafis, Ali Akbar Najwa Zuklizatuz Zahiroh Novika, Norma Nurlaela, Norma Septin Paramaditya Arismawati Perdana Suteja Putera Perdana Suteja Putra Purnama, Adhitya Rinda Wahyu Rafsanjana, Sasotya Rigan Ramadhani, Achmad Farikhin Rosyadi, Muchammad Imron Rosyid, Ahmad Nur Sasotya Rigan Rafsanjana Silvi Istiqomah Sri Hidayati Tineke Sandra Wisesha Wulandari, Eka Devi Yohanes Setiawan Zunaidi, Rizqa Amelia