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All Journal SAINTEK: Jurnal ilmiah Sains dan Teknologi Industri Juminten : Jurnal Manajemen Industri dan Teknologi Journal La Multiapp Jurnal Pengbdian Teknik Mesin Biomedical and Mechanical Engineering Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Kendali Teknik dan Sains Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Rizqi Novita Sari
Unknown Affiliation
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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Pengukuran Dan Analisis Produktivitas Menggunakan Metode Objective Matrix (Omax) di Unit Produksi Workshop Putar PT Xyz Vina Sabrina; Rizqi Novita Sari
Venus: Jurnal Publikasi Rumpun Ilmu Teknik  Vol. 2 No. 1 (2024): Februari : Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/venus.v2i1.86

Abstract

Productivity is an indicator of a company's performance. In 2021 to 2023, a precast concrete construction and manufacturing company had difficulty achieving its spun pile production target of 3,480 tons/month. This condition causes the company's productivity to fluctuate and tend to decrease overall. This study aims to evaluate the decline in productivity by measuring the value of productivity based on 3 criteria, namely material, labor and machine criteria. The method used is Objective Matrix (OMAX). The productivity value in the production years 2021 to 2023 fluctuates with a downward average value. The highest productivity value in the 2021 production year occurred in period 8 with a value of 748 while the lowest productivity value occurred in period 6 with a value of 170. The highest productivity value in the 2022 production year occurred in period 21 with a value of 638 while the lowest productivity value occurred in period 14 with a value of 166. The highest productivity value in production year 2023 occurs in period 26 with a value of 966 while the lowest productivity value occurs in period 27 with a value of 0. Criteria that contribute less to productivity and need to be improved are labor criteria that show values below the average. While the material and machinery criteria show values that tend to be below average. While the material and machine criteria show values that tend to be good, with the application of OMAX, PT XYZ can improve partial productivity and total productivity in the future and identify factors that cause a decrease in productivity.
Analysis of WMSDs Among Network Division Employees at PT. XYZ Using the Nordic Body Map and ROSA Methods Dzaki Syahriar Ahmad; Rizqi Novita Sari
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 3 No. 1 (2025): Januari: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v3i1.649

Abstract

Intensive computer use without ergonomic considerations poses risks of Work-Related Musculoskeletal Disorders (WMSDs) for PT. XYZ employees, who often work in uncomfortable positions. This study identified risk factors using the Nordic Body Map and ROSA methods. Results revealed high complaints in the upper neck and right shoulder, with 4 out of 5 employees at high risk due to non-ergonomic work postures and facilities. Recommendations include workplace layout improvements, posture training, and stretching routines to reduce WMSD risks and enhance employee well-being.
Workload Analysis Using the Full-Time Equivalent and Rating Scale Mental Effort Methods in the Production Division Azizy, Annisa Rahmi; Rusindiyanto; Rizqi Novita Sari
Journal La Multiapp Vol. 5 No. 6 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i6.1587

Abstract

CV Aurexell is an industry engaged in the food sector, namely bread. In the production process, several problems cause physical and mental workloads, where employees at dough-making, weighing, and molding workstations feel physically burdened because they have to work standing up for a day and mentally burdened because they have to meet production targets every day but there is a shortage of employees at the fermentation and baking, also cream filling workstations. To solve these problems, we must take workload measurements to find the optimal number of employees. Based on data processing using the FTE method, it is evident that the physical workload of all employees falls within the normal category, which ranges from 1 to 1.28, which means that the number of employees at CV Aurexell is optimal because the physical workload is normal. Based on data processing using the RSME method, it is evident that operators 7 and 9 have mental workloads of 85.33 and 83, respectively, classified as great effort. At the same time, other operators require rather much too considerable effort. The optimal number of workers in the RSME method is six people for the dough-making, weighing, and molding workstation, three for the fermentation and baking workstation, three for the cream-filling workstation, and thirteen for the packaging workstation.
Analysis of Fatigue Levels Using Multiple Linear Regression Methods on PT XYZ Workers Audiansyah Agni Nirvana; Rizqi Novita Sari
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.774

Abstract

PT XYZ is a company engaged in warehousing. In every process, there are various activities that can cause fatigue in workers. Currently, researchers want to analyze the effect of body condition, material, and warehouse conditions on the fatigue level of warehouse workers. To do this, companies can use multiple linear regression tests with SPSS software. In the multiple linear regression test that has been carried out, it is known that the body condition and material factors do not have a strong influence on the level of fatigue that occurs. This is because the Pvalue >0.05. While the warehouse condition factor has a strong influence on the level of fatigue, H0 is rejected because it has a Pvalue of 0.015 <0.05. From the results of the anova test conducted, it can be seen that the three existing factors simultaneously affect the fatigue level of PT XYZ workers. This is because the significance value in the anova test is 0.004; smaller than the value of 0.005. The benefit of this research is that PT XYZ can determine the right solution in order to reduce the level of fatigue so that warehouse productivity increases.
Earthquake Simulation Design Using Virtual Reality at the East Java Province Environmental Agency Building: English Dirama, Romeo; Rizqi Novita Sari
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.801

Abstract

This study presents the development of a virtual reality-based simulation aimed at improving earthquake disaster preparedness at the East Java Provincial Environmental Service Building. The simulation introduces proper emergency response procedures, realistic earthquake scenarios, and comprehensive knowledge of building layouts, evacuation route signs, and designated assembly points. The research methodology involved direct observations and interviews with employees to gather detailed information about existing preparedness measures. The simulation was developed through stages of problem identification, data collection, object modeling using Blender 3D, and integration into a cohesive system via Unity. The final implementation resulted in a dynamic, interactive, and educational simulation that closely mirrors real-life emergency situations. Testing results indicate that the simulation operates effectively, providing immersive experiences and facilitating user interaction. This tool is expected to enhance the understanding of emergency procedures for employees, particularly new staff and visitors, while fostering a safer, disaster-prepared work environment. The study underscores the potential of virtual reality technology as a strategic approach to disaster risk reduction and education.
Apllication of Six Sigma and FMEA Methods to Improve The Quality of Laminated Tube Packaging Hafizh Hazmi Al Fauzi; Rizqi Novita Sari
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.804

Abstract

PT Lamipak Primula Indonesia is a company that produces various packaging made of plastic. The main product of PT Lamipak Primula Indonesia is toothpaste laminated tube packaging. PT Lamipak Primula Indonesia wants to minimize defects in products to minimize waste, reduce costs, increase efficiency, and maximize profits. This can also increase customer confidence in the product. PT Lamipak Primula Indonesia improves the quality of its products by applying Six Sigma with the DMAIC method. In this study, DPMO of 15766 was obtained and then converted to a sigma level of 3.7 which shows that the sigma level is below the 6 sigma level. This shows the achievement of sigma that has not been consistent and still shows the need for quality improvement in the laminated tube packaging production process in order to achieve zero defects. Based on FMEA analysis, it shows that the most significant failure occurs in machine conditions that cause defective shoulders with a value RPN of 210. This failure is caused by the lack of regular machine inspection, by the machine not being supervised in realtime, not following the SOP and the lack of worker skills.
Analysis of Factors Causing Work Accidents in Steel Plate Production with FTA and PDCA Methods at PT. XYZ M. H. N. Islamsyah; Rizqi Novita Sari
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.821

Abstract

The identification of work accidents in the steel plate production process poses a serious risk to workers and disrupts operational activities. This research analyzes the factors causing work accidents at PT XYZ in the steel plate production process using the Fault Tree Analysis (FTA) method and the Plan-Do-Check-Act (PDCA) method. FTA is applied to identify and decipher the root causes of accidents, while PDCA serves as a framework for continuous improvement. Data were collected through accident reports, observations. The results showed that human error, including being pinched by a plate, hit by a ganco, and exposed to sparks were the main contributors to the occurrence of accidents. Through the PDCA cycle, several preventive measures were proposed, including enhancing worker training, improving equipment maintenance, and strengthening safety protocols. This study provides actionable insights to improve workplace safety and reduce the risk of accidents in the steel plate production process.
Co-Authors Ais Nur Rohkma Akmal Suryadi Audiansyah Agni Nirvana Ayyasy Nugroho Azizy, Annisa Rahmi Bagus Wahyu Masdhana Candra Setya Nugraha Dirama, Romeo Dzaki Syahriar Ahmad Hafizh Hazmi Al Fauzi Iqlal, Fadhil Muhammad Irene Rizda Septiani Aprizal Isna Nugraha M. H. N. Islamsyah Mega Cattleya Prameswari Anissa Islami Mega Cattleya Prameswari Annissaa Islami Rusindiyanto Sinta Dewi Sinta Dewi Sugeng Setyabudi Vina Sabrina Yekti Condro Winursito