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Work from home study: mental workload, gender, and calorie needs Didin, Fatin Saffanah; Maharani, Belia Perwitasari; Mardiono, Intan
Jurnal Sistem dan Manajemen Industri Vol. 5 No. 1 (2021)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v5i1.2768

Abstract

Coronavirus disease (COVID-19) pandemic has changed how to work, learn, socialize, and many business sectors applied for the Work from Home (WFH) rule. This research aims to measure workers' mental and physical workload while working from home use Rating Scale Mental Effort and the physical workload was using calorie needs. The calculation for calories needs using physical condition of participant and food consumption in a day with Lifesum Application. Participants consisted of 40 males and 40 females. The result shows that the value of mental workloads on males and females with no different significance. But the average amount of female's work and mental workload effort is higher by 9.98 than men. More than 60% of male and female workers working from home belong to the category of heavy work seen from their calorie needs. According to the number of calories remaining, more than 70% of male and female workers have an excess amount of calories that is not suitable for worker health. This study suggested that employees need to improve the work system online to reach a healthy working system both mentally and physically. The relevant company can use the suggestion of this paper result in providing workload to employees during WFH.
Design of Recommendation Decision Support System ITERA Industrial Engineering Students' Final Project Topic with Method Case-Based Reasoning and Certainty Factors Yanuarso, Hersa Dwi; Kusuma, David; Muttaqin, Muhammad Faishal Jundana; Hadi, M. Zaky; Didin, Fatin Saffanah
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 1 (2026)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i1.3525

Abstract

Design of Decision Support System (DSS) for final project topic recommendation for ITERA Industrial Engineering students by integrating Case-Based Reasoning (CBR) and Certainty Factor (CF) methodsĀ used to support this research. A common problem is when determining the final project research topic, where most students have difficulty finding a topic that is in accordance with their respective fields of expertise. This causes the final project to take longer than the estimated standard time for graduates, which is normally between 4-5 years. The purpose of this study is to assist final year students in determining the final project title that suits their preferences and academic needs. The CBR method is used to search and compare cases based on case similarities with data contained in the database, while the CF value is applied to handle uncertainty and provide a level of confidence in the resulting recommendations. The results show that the integration of these two methods improves the accuracy and relevance of recommendations, as well as providing better transparency through the presentation of Certainty Factor values. System evaluation shows a high level of user satisfaction and a decrease in the time required to determine the final project topic. The design and development of a decision support system for final project topic recommendations was successfully carried out by integrating the Case-based Reasoning and Certainty Factor methods implemented on web hosting, performance evaluation and the impact of system use on user satisfaction showed that users felt satisfied when using the decision support system.