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All Journal Teknika: Jurnal Sains dan Teknologi Journal Industrial Servicess Journal of Systems Engineering and Management
Herlina, Lely
Universitas Sultan Ageng Tirtayasa
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Journal : Journal Industrial Servicess

 1 
Risk analysis and safety measures: JSA, HIRA, and FTA in LPG distribution Dewantari, Nustin Merdiana; Ferdiansyah, Muhamad; Herlina, Lely; Mariawati, Ade Sri; Umyati, Ani
Journal Industrial Servicess Vol 9, No 2 (2023): October 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i2.21847

Abstract

Industrial competition is intensifying, raising the importance of Occupational Safety and Health (OSH) practices. This study focuses on LPG distributor Fajar Sidiq Nurhidayah, a company specializing in 3 kg LPG cylinders. The lack of safety inductions and adequate Personal Protective Equipment (PPE) heightens the risk of workplace accidents, necessitating this research to mitigate such risks. Employing the Job Safety Analysis (JSA), Hazard Identification and Risk Assessment (HIRA), and Fault Tree Analysis (FTA) methods, potential hazards were identified. JSA revealed risks like collisions, being struck by the truck's back, tube pinching, and ergonomic hazards, foreseeing injuries ranging from bruises to fractures and Musculoskeletal Disorders (MSDs). HIRA uncovered six hazards: one low-risk, four medium-risk, and one high-risk. FTA pinpointed the primary danger source to be the warehouse station due to operator negligence during tube lifting, lack of PPE usage, and entangled tubes, emphasizing the worker's condition and work environment.
Application of the Nawaz-Enscore-Ham (NEH) algorithm for flow shop scheduling in a timber factory Muharni, Yusraini; Saeful Muttaqien, Ade Irman; Lazuardi, Hilal; Herlina, Lely; Febianti, Evi; Ilhami, Muhammad Adha; Ulfah, Maria; Hartono, Hartono
Journal Industrial Servicess Vol 10, No 1 (2024): April 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i1.24503

Abstract

Scheduling is essential in production systems as it manages resource allocation and ensures precise and timely operations. A timber firm produces wooden hammocks and pallets to meet the demand for wooden pallets in the domestic market using a flow shop type production flow and the First Come First Served (FCFS) method. In December 2022, there was excess capacity due to a decrease in demand. Conversely, the company experienced a shortage of capacity in January due to a significant increase in demand for pallets from several companies. This situation resulted in idle time when switching to the next task, indicating that production capability was not being utilized to its full potential. The aim of this research is to provide production scheduling proposals to minimize makespan by applying the Nawaz-Enscore-Ham (NEH) method and the Integer Linear Programming (ILP) method. The proposed production scheduling with a lower makespan has been successfully obtained in this study.
Workload measurement with Bourdon Wiersma and Cardiovascular Load (CVL) methods Mariawati, Ade Sri; Anggraeni, Shanti Kirana; Nisfulail, Maura Citra; Dewantari, Nustin Merdiana; Herlina, Lely; Umyati, Ani
Journal Industrial Servicess Vol 10, No 1 (2024): April 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i1.24477

Abstract

A company operating in the sector of workshop production of nuts and bolts requires workers to maintain high levels of speed, precision, and consistency, as well as significant responsibility to deliver the best results for customers. However, while carrying out their tasks, workers may make mistakes due to work fatigue. Therefore, researchers conducted a study to determine the extent of mental and physical workload using the Bourdon Wiersma and Cardiovascular Load (CVL) methods. Bourdon Wiersma is an objective method of measuring workload to determine the level of mental burden in tasks requiring precision, speed, and high consistency, including monotonous tasks. Cardiovascular Load (CVL) involves comparing the increase in heart rate with the maximum heart rate and classifying workload based on the increase in working heart rate compared to the maximum heart rate, expressed as cardiovascular load (% CVL). The research results show that the Bourdon Wiersma percentage for the three job tasks was generally quite good before work and fell within the category of moderate or mild tiredness after work. Additionally, the largest average %CVL occurred in operators at 63%.
Analysis of mental workload during exams in hybrid learning in the new normal era post-pandemic Yadi, Yayan Harry; Umyati, Ani; Mariawati, Ade Sri; Lady, Lovely; Dewantari, Nustin Merdiana; Herlina, Lely; Alvizar, Rezi
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.21976

Abstract

During the Covid-19 pandemic, most universities implemented distance learning to prevent the spread of the virus. After the pandemic, the learning process shifted to a hybrid method, combining both offline and online instruction. This hybrid system is applied to certain courses, featuring face-to-face classroom sessions alongside video conferencing for lectures. However, the hybrid learning approach has led to a decline in the student achievement index for some students, highlighting the need to evaluate their mental workload. Therefore, this study aimed to measure students’ mental workload during both online and offline exams using the NASA Task Load Index (NASA-TLX) method. The results showed a higher average mental workload score for offline exams compared to online exams. Statistical analysis revealed a significant difference between the scores, indicating a notable disparity in mental workload between offline and online exams. In conclusion, the mental workload associated with hybrid learning—particularly during exams—is considered high.
Co-Authors Alfikri, Azka Dzafif Alvizar, Rezi Amanda, Novita Anggraeni, Shanti Kirana Ani Umyati Bobby Kurniawan Dewantari, Nustin Merdiana Febianti, Evi Ferdiansyah, Muhamad Fitriani, Dwi Friskayani, I Gusti Ayu Lazuardi, Hilal Lovely Lady Maulana, Muhammad Athallah Muhammad Adha Ilhami Muharni, Yusraini Ningsih, Nurhayati Nisfulail, Maura Citra Saeful Muttaqien, Ade Irman Ulfah, Maria Wulandari, Anting Yadi, Yayan Harry Yadi, Yayan Hary