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Implementasi Metode RULA & REBA dalam Menganalisis Postur Tubuh Pekerja Storeman: Studi Kasus di PT Vale Indonesia Tosalili, Munajir Ukkas; Alisyahbana, Takdir; Safutra, Nur Ihwan; Fole, Asrul
Journal of Industrial Engineering Innovation Vol. 3 No. 02 (2025): Oktober 2025
Publisher : Insight Publisher, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58227/jiei.v3i02.137

Abstract

PT Vale Indonesia menghadapi permasalahan potensial terkait gangguan musculoskeletal disorders (MSDs) pada pekerja storeman akibat penanganan material manual handling (MMH) yang intensif di gudang. Oleh karena itu, tujuan penelitian ini adalah menerapkan Metode Rapid Entire Body Assessment (REBA) dan Rapid Upper Limb Assessment (RULA) dengan pendekatan Nordic Body Map (NBP) untuk menganalisis postur tubuh pekerja storeman, dengan tujuan mengidentifikasi risiko cedera MSDs yang terkait dengan kegiatan penempatan dan pengambilan barang. Hasil penelitian menunjukkan bahwa terdapat banyak pekerja dengan posisi punggung yang ekstrem, dengan skor risiko sedang 7 dan risiko tinggi 5 dalam REBA, serta 2 skor dapat diterima dalam RULA. Hal ini menunjukkan adanya potensi cedera MSDs pada pekerja storeman. Rekomendasi yang diusulkan mencakup perubahan desain gudang yang ergonomis, pelatihan karyawan, evaluasi kondisi kerja secara rutin, dan penerapan kebijakan keselamatan kerja yang kuat. Penelitian di masa depan dapat mempertimbangkan faktor lingkungan kerja, analisis biomekanika, teknologi wearable, serta studi perbandingan tindakan ergonomis.
Analisis Kognitif dan Tingkat Kecemasan Mahasiswa terhadap Pelaksanaan Praktikum di Laboratorium Program Studi Teknik Industri Universitas Muslim Indonesia Haizatullah, Asningtyas Nurul; Afiah, Irma Nur; Pawennari, Andi; Safutra, Nur Ihwan; Dewa, Parama Kartika
Journal of Integrated System Vol. 7 No. 2 (2024): Journal of Integrated System Vol. 7 No. 2 (December 2024)
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jis.v7i2.9827

Abstract

Program Studi Teknik Industri Universitas Muslim Indonesia (PSTI-UMI) menerapkan sebelas laboratorium dan dua tugas besar sebagai bagian dari Kurikulum 2020. Praktikum pada semester tujuh, yang merupakan tahap akhir studi, meliputi Studio Analisis Perancangan Perusahaan dan Laboratorium Simulasi Sistem Industri. Berdasarkan observasi, praktikum ini memiliki tingkat kesulitan yang lebih tinggi dibandingkan praktikum pada semester sebelumnya. Penelitian ini menggunakan Cognitive Failure Questionnaire (CFQ) dan kuesioner State-Trait Anxiety Inventory (STAI) Form Y untuk mengukur variabel yang diteliti. Tujuan penelitian ini adalah untuk menggambarkan profil kegagalan kognitif, menganalisis hubungan antara tingkat kecemasan dengan kegagalan kognitif, serta mengidentifikasi faktor lain yang berpotensi memengaruhi kegagalan kognitif mahasiswa tingkat akhir PSTI-UMI saat mengikuti praktikum di laboratorium. Hasil penelitian menunjukkan bahwa mayoritas mahasiswa tingkat akhir PSTI-UMI mengalami kegagalan kognitif pada tingkat sedang hingga tinggi. Dari total 117 mahasiswa, 11,97% (14 mahasiswa) mengalami kegagalan kognitif kategori rendah, 51,28% (60 mahasiswa) berada pada kategori sedang, dan 36,75% (43 mahasiswa) berada pada kategori tinggi. Selain itu, tingkat kecemasan, baik state anxiety maupun trait anxiety, juga cenderung tinggi, dengan lebih dari 60% mahasiswa berada pada kategori kecemasan tinggi untuk kedua jenis kecemasan tersebut.
Workload analysis to determine the optimal number of workforce using the Work Load Analysis (WLA) method at PT. Harapan Jaya Multi Bisnis Ahmad, Arfandi; Herdianzah, Yan; Safutra, Nur Ihwan; Rauf, Nurhayati; Gamgulu, Rifki; Nur, Taufik
OPSI Vol 16 No 2 (2023): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v16i2.8967

Abstract

Workload is something that arises due to excessive activity demands. The workload is not proportional to the number of available workers because of the high target of pipe production while the number of workers is lacking so that human resources cannot work productively, especially in the production department at PT. Harapan Jaya Multi Bisnis. The purpose of this study is to determine the workload of employees in pipe production and determine the optimal number of workers. This study uses the Work Load Analysis (WLA) method to analyze the workload in determining the optimal number of workers. The results of this study after calculating the workload, it is proposed that the fixed cutting section is 2 people with a workload of 62.65%. In Branding, in real terms there is 1 person with a total workload of 11.73% and an average workload of 11.73%. After calculating the workload, it is proposed that the shooting section still be 1 person with a workload of 11.73%, because if additional workers are added, the workload will be too low. The time needed to complete the activity is 7 hours per day. After calculating the workload, Quality Control is proposed to be 1 person, because if additional workers are added, the workload will be too low, namely 7 hours per day.
Factors that influence worker behavior towards occupational safety and health using the SEM-PLS method at PT. Industri Kapal Indonesia (Persero) Makassar Herdianzah, Yan; Wahyuni P, A. Dwi; Ahmad, Arfandi; Chantika, Aulia Marista Dewi; Saleh, Anis; Fole, Asrul; Safutra, Nur Ihwan
OPSI Vol 17 No 2 (2024): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v17i2.11211

Abstract

PT. IKI is a shipbuilding company owned by the Indonesian government which carries out several industrial activities such as ship building, repair and docking. The results of initial observations found that there were still workers in the production division who experienced work accidents and occupational diseases. In this research, it is very important to analyze the factors that influence the behavior of production division workers to find out what suggestions for improvements are appropriate in overcoming problems with production division workers. This research employs the SEM-PLS method to investigate the impact of knowledge factors (X1), attitudes (X2), and the availability of facilities (X3) on the occupational safety and health of production division workers. It aims to provide valuable insights for enhancing workplace safety by identifying factors that positively influence these outcomes. The findings of this study reveal a significant correlation between the availability of facilities (X3) and occupational safety and health, as evidenced by a p-value of 0.000, which is less than the predetermined significance level of 0.05. Based on these results, recommendations for improvement can be proposed. The company is advised to uphold and enhance the implementation of Standard Operational Procedures about Occupational Safety and Health (K3) while also ensuring the continuous provision of comprehensive Personal Protective Equipment (PPE) for all employees
UNRAVELING THE MENTAL WORKLOAD OF EMPLOYEES: A CONTEMPORARY APPROACH IN PT WOM FINANCE CAB PAREPARE Kulsaputro, Januar; Pawennari, Andi; Safutra, Nur Ihwan; P, A Dwi Wahyuni; Dahlan, Muhammad
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.v9i1.1842

Abstract

A company's success depends on effective resource management, particularly human resources. Utilizing high-quality employees is crucial for achieving goals, optimizing efficiency, and enhancing performance. However, workloads often cause stress and fatigue, impacting accuracy and job satisfaction. Therefore, measuring mental workload is important, using techniques like the Subjective Workload Assessment Technique (SWAT) to understand employee workload and improve performance. This study focuses on PT. Wom Finance, a vehicle financing company, and its efforts to address workload challenges using SWAT to measure and enhance employee satisfaction. The research reveals that effort (35.78%), stress load (34.29%), and time load (29.94%) are significant factors in the overall workload. Further research is recommended to deepen understanding and develop strategies for reducing workload. By effectively managing employees' mental workload, PT WOM Finance Cab Parepare can create a work environment that promotes satisfaction and well-being, leading to increased productivity and organizational success.
DESIGN OF THE MANAGEMENT MODEL OF URBAN HOUSEHOLDS SOLID WASTE GENERATION Sabara, Zakir; Hafid, Muhammad Fachry; Saleh, Anis; Alisyahbana, Takdir; Safutra, Nur Ihwan; Nusran, Muhammad
Journal of Industrial Engineering Management Vol 6, No 1 (2021): Journal of Industrial Engineering Management Vol. 6 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.v6i1.886

Abstract

One of the global problems related to the future of cities is the environmental problem, namely the amount of municipal solid waste. From this waste, several issues arise in various aspects, such as health, aesthetics, and social and environmental problems. So that focused research is carried out on the management of urban solid waste produced by households. The research objective is to design a conceptual model and determine the variables and indicators that affect the generation of urban household solid waste and determine what prevention can be done. The model intended consists of 5 variables and 17 indicators. Data was collected based on a survey method with a closed questionnaire distributed to 120 respondents aged ≥ 17 years and residing in Yogyakarta. Analysis of the model and variable relationships was carried out based on the Structural Equation Modeling (SEM) method with the help of AMOS 24 software. The results showed that the designed model was valid. Socioeconomic variables, KAP level, waste reduction, and seasonality are direct predictors determining waste generation behavior. Socioeconomic variables are also direct predictors of KAP level and seasonal variables, and KAP level variables are direct predictors of waste reduction and seasonal variables
An Evaluation of Supply Chain Reliability Strategies in the Garment Industry Based on the SCOR 14.0 Racetrack Framework Fole, Asrul; Alisyahbana, Takdir; Safutra, Nur Ihwan; Muh. Ridzwan; Alifah Dwi Wulandari Putri
Cognitia : International Engineering Journal Vol. 1 No. 3 (2025): Cognitia : International Engineering Journal
Publisher : Candela Edutech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63288/ciej.v1i3.11

Abstract

This study presents an evaluation of supply chain reliability strategies in the garment industry by utilizing the SCOR 14.0 Racetrack Framework. The research was conducted at Raja Konveksi Kaos Makassar, a garment manufacturing company that has encountered recurring issues related to delayed deliveries, inaccurate order documentation, and poor product conditions upon customer receipt. To identify the underlying causes, a Fishbone Diagram was employed for structured root cause analysis. Based on the insights gained, a portfolio of ten improvement projects was formulated, adopting best practices outlined by the Association for Supply Chain Management (ASCM). These projects were classified according to SCOR process categories and then prioritized using a Prioritization Matrix to ensure alignment with organizational goals and resource allocation. Each prioritized project was executed using a Project Charter approach, supported by a Gantt Chart to track implementation timelines and manage activities efficiently. The evaluation phase indicated significant improvements in key SCOR reliability metrics: RL.3.3 improved by 9.23%, RL.3.5 by 2.07%, and RL.3.10 by 3.54%. These results demonstrate that the implemented strategies effectively enhanced supply chain reliability, operational performance, and service quality. Overall, this study affirms the value of the SCOR 14.0 Racetrack Framework as a practical and data-driven tool for evaluating and improving supply chain reliability in the garment industry, offering relevant insights for both academics and practitioners.