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All Journal Jurnal Matematika: MANTIK IJIES (International Journal of Innovation in Enterprise System) Community Development Journal: Jurnal Pengabdian Masyarakat Darmabakti : Junal Pengabdian dan Pemberdayaan Masyarakat Jurnal Pengabdian kepada Masyarakat Journal of Advanced Technology and Multidiscipline (JATM)
Chandrawati Putri Wulandari
Universitas Airlangga
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

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Journal : Journal of Advanced Technology and Multidiscipline (JATM)

 1 
Analisis Beban Fisiologi Kerja pada Penggunaan Masker Wajah saat Melakukan Aktivitas Fisik Shofa Aulia Aldhama; Chandrawati Putri Wulandari; Rike Surya Shafarani; Valencia Tesalonika; Priskila Yohana; Tozati Intan Ramadhani; Gilang Fadly Hassani
Journal of Advanced Technology and Multidiscipline Vol. 1 No. 2 (2022): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.034 KB) | DOI: 10.20473/jatm.v1i2.40345

Abstract

During the COVID-19 pandemic people are required to limit outside activities and keep following social distancing protocol. However, several studies have reported that indoor exercises have a greater risk toward COVID-19 virus infection. Therefore, wearing a mask during light to moderate intensity of outdoor physical activity is still recommended. We conduct an experiment to analyze physiological ergonomics aspect, whether people wearing different type of masks during physical activities and distraction of music would affect heart rate. Analysis of the average heart rate data was carried out using the calculation of VO2max and Energy Expenditure to determine the workload level of the four scenarios of treatment combination. The result shows a heavy level of physical load on the use of surgical mask with distraction of music and moderate level of physical load on the use of surgical without distraction of music.
Optimizing Spare Parts Inventory Management of Truck Dealer Services using Forecasting Methods and Continuous Review System Approach Rahmania, Rizky Astari; Indriani, Novera; Wulandari, Chandrawati Putri
Journal of Advanced Technology and Multidiscipline Vol. 3 No. 2 (2024): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v3i2.66530

Abstract

A truck dealership company, specializing in maintenance, repair, and spare parts sales, faces stockout challenges that hinder its ability to meet demand for moving code 1 spare parts. The absence of effective forecasting methods and safety stock policies exacerbates these issues. This study aims to optimize inventory management by identifying suitable forecasting methods and implementing the Continuous Review System (CRS) to establish safety stock and reorder points as the parameter for procurement planning. The results indicate that the Double Exponential Smoothing (DES) method effectively predicts demand, while the Monte Carlo simulation method performs better for spare part 493051110L. The CRS approach improves the fill rate and reduces stockout risks, ensuring better inventory management for the company. These findings provide a framework for the company to enhance its spare parts inventory strategy, contributing to improved service reliability and operational efficiency.
Evaluating Cognitive Load of a Laundry Service Worker: A Subjective Workload Assessment Technique Approach Wulandari, Chandrawati Putri; Vincent, Adriel Maruli; Hassani, Gilang Fadly; Sunar, Muhammad Akbar; Aldhama, Shofa Aulia; Mufidah, Ilma
Journal of Advanced Technology and Multidiscipline Vol. 4 No. 2 (2025): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v4i2.70952

Abstract

Laundry service workers perform repetitive and physically demanding tasks, often under time constraints, leading to increased cognitive load. Cognitive load assessment is crucial for understanding workload distribution and optimizing task allocation in labor-intensive industries. This study evaluates the cognitive load of laundry service workers using the Subjective Workload Assessment Technique (SWAT). The analysis focuses on two primary phases: scale development and event scoring. The scale development phase involved rating three workload dimensions: time pressure, mental effort, and stress level. The event scoring phase analyzed workload variations across tasks and workers. The findings indicate that ironing is the most cognitively demanding task, followed by washing and moving to the dryer, while storing and customer retrieval generally impose lower workloads. Notably, differences in workload perception among workers highlight the need for task redistribution, process optimization, and potential ergonomic interventions. This study provides valuable insights into improving worker efficiency and well-being in service industries.
Co-Authors Adam Maurizio Winata Affiani Machmudah Aisyah Dewi Muthi’ah Aldhama, Shofa Aulia Aryo Pinandito Dwi Rantini Fikri Arif Abdillah Ghaluh Indah Permata Sari Gilang Fadly Hassani Gunawan Setia Prihandana Hanifah Nurroidah Hassani, Gilang Fadly Ilma Mufidah Indriani, Novera Miftachul Jannah Mohammad Ghani Mohammad Iqbal Mohammad Sandiasri Suprapto Prasasti Ikrar Luhur Priskila Yohana Rahmania, Rizky Astari Ratih Ardiati Ningrum Rike Surya Shafarani Sunar, Muhammad Akbar Tozati Intan Ramadhani Valencia Tesalonika Vincent, Adriel Maruli Wawan Yunanto