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Selection of Raw Material Suppliers For Yarn Based on Sustainable Supply Chain Management Criteria Using Fuzzy Analytical Hierarchy Process (FAHP) and TOPSIS Methods at PT XYZ Yulia Sari, Alma Dwi; Pulansari, Farida; Nugraha, Isna
Indonesian Journal of Social and Environmental Issues (IJSEI) Vol. 6 No. 1 (2025): April
Publisher : CV. Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47540/ijsei.v6i1.1802

Abstract

The industrial revolution and mass production directly increased human productivity and significantly impacted the environment. Amid these environmental problems, companies created environmentally friendly production strategies and prioritized economic factors (profit) and how they impact the social environment. This makes sustainable supply chain management in Sustainable Supplier Selection (SSS) increasingly in demand because it can affect the company's environmental performance. Companies that can improve their environmental and social performance will be able to increase their competitive advantage and impact, increasing revenue, market share, and a more positive green image of the company. There is no research on sustainable supplier selection in the sarong industry, especially in Indonesia. Therefore, research is needed on the sector because it dramatically affects environmental performance. One of the companies engaged in the sarong industry is XYZ company. This study aims to evaluate Supplier performance based on sustainable aspects (economic, environmental, social) using the cut-off point method for selecting sub-criteria, FAHP for assigning sub-criteria weights, and TOPSIS for ranking Suppliers based on predetermined sub-criteria. As a result of data processing, suppliers are ranked based on their preferences. As a result, Supplier 2 (S2) ranked first with a preference value of 0.9210, followed by Supplier 1 (S1) with a preference value of 0.7514, Supplier 3 (S3) with a preference value of 0.3166, and Supplier 4 (S4) with a preference value of 0.00019.
Analysis of the Effect of Labor Quantity on the Output Value of Micro-Industries in Indonesia Using Simple Linear Regression Method Nugraha, Isna; An Khofiyah, Nida; Ramadhan, Gilang; Aryanti, Friska
International Journal of Eco-Innovation in Science and Engineering (IJEISE) Vol. 6 No. 1 (2025): IJEISE
Publisher : UPN Veteran Jatim

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the current era of globalization, rapid advancements are driving nations to compete in strengthening their economies. Companies and industrial enterprises play a vital role as economic units actively contributing to national economic activities. Economic growth is closely associated with the output value of industries, which is significantly influenced by the number of workers. This study aims to examine the effect of the number of workers in micro-industries on the output value of micro-industries in Indonesia. The research employs two variables: the independent variable (X), representing the number of micro-industry workers, and the dependent variable (Y), representing the output value of micro-industries. A simple linear regression analysis was applied to measure the extent of the relationship between these variables. The results show a regression equation of Y = 217.512,365 + 46,669X with a coefficient of determination (R²) of 0,896, indicating that 89,6% of the variation in output value can be explained by the number of micro-industry workers. This suggests a strong influence of labor quantity on micro-industry output in Indonesia.
Total Quality Control (TQC) Analysis of Paris Hijab Products at the Wholesale Center of Dodolan Hijab Surabaya Using Six Sigma, New Seven Tools and Kaizen Methods Nugraha, Isna; Kirana, Intania Widyantari; Ramadhan, Gilang; Aryanti, Friska
Journal of Research and Technology Vol. 11 No. 1 (2025): JRT Volume 11 No 1 Juni 2025
Publisher : 2477 - 6165

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/jrt.v11i1.1646

Abstract

Dodolan Hijab is a hijab shop located on Jl. Medayu Utara Gg. VIII A No.19, Medokan Ayu, Surabaya. This shop offers various types of hijab, with Hijab Paris being one of the most popular and in-demand products. However, for some time, there has been a significant problem related to the high level of damage to Hijab Paris products, which includes 33% torn hijabs, 35% slanted cuts, and 32% pulled threads. This study aims to identify the types of defects that cause the high defect rate in Hijab Paris products over 12 month, as well as to analyze the factors that affect their quality. For this reason, the Six Sigma, New Seven Tools, and Kaizen approaches were applied to analyze the root cause and provide improvement solutions. Of the 11,745 hijabs produced, 281 units were found to be damaged. The results of the study showed that torn hijab defects were a top priority to be repaired in order to improve overall product quality. The suggested improvements were expected to make the production process more efficient, enhance the quality of Paris hijab products, and ultimately increase customer satisfaction.
Analisis Material Requirement Planning dengan Lot Sizing pada Produk Asam Sulfat di PT. Petrokimia Gresik Tarigan, Feby Yola Br; Nugraha, Isna
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 3 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i3.2047

Abstract

In the industrial world, material requirements planning is a very important foundation for smooth operations and business success so that production disruptions and increased costs can be avoided. PT. Petrokimia Gresik is the most complete fertilizer producer in Indonesia, one of which produces sulfuric acid. The problems experienced by PT. Petrokimia Gresik Produksi IIIA, namely Sulfuric Acid production, has been temporarily stopped due to excess product stock in the distribution line. Therefore, the aim of this research is to carry out product inventory planning by determining the quantity and when orders can be placed so that over stock and inventory costs can be minimized. To solve this problem, the Material Requirement Planning method is used using the lotting technique. Based on the research results, it was found that the MRP method should be applied in companies with lot sizing Economic Order Quantity because it has the smallest total ordering and inventory costs. It was found that the total order for sulfuric acid using the economic order quantity was 1,390,000 tons, which resulted in a difference of 54,534.06 tons of sulfuric acid from the company's total orders and by applying the economic order quantity the company would save inventory costs of IDR 3,697,073,366.00. Keywords: Economic Order Quantity, Least Total Cost, Lot For Lot, Material Requirement Planning, Supply
Penerapan Metode Objective Matrix dan Rootcause Analysis pada Pengukuran Produktivitas Produksi Gula di PT KLM Kamilah, Nurisma Bintang; Nugraha, Isna
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 3 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i3.2145

Abstract

Measuring the company's productivity performance is very important to assess achievements and evaluate aspects that need to be improved. PT KLM is engaged in sugar production, trying to improve productivity which is considered unstable. This research aims to analyze productivity during the 2024 milling period and provide recommendations for improvement. The methods used are Objective Matrix and Rootcause Analysis. RCA analysis was carried out with the Five-Why method and fishbone diagram to obtain improvement recommendations that can increase productivity in the future. Based on the Five-Why analysis and fishbone diagram, the company needs to optimize productivity through increased supervision and availability of quality raw materials, provide motivation and evaluation levels to employees, and control the efficient use of machines. The results show the highest productivity value in period 6 of 636.80 and the lowest productivity occurred in the first period of 65.27. The highest productivity change index occurred in the third period with a value of 285.62%. While the lowest index of change occurred in the last period with a value of -44.85, Criteria that need to be improved include raw materials, labor and machine hours. Keywords: Fishbone Diagram, Five-Why Analysis, Omax, Productivity, RCA
Analisis Pengendalian Kualitas Produk Pakan Ternak pada PT XYZ dengan Metode Six Sigma dan FMEA Armevia, Nazwa Rifqi; Nugraha, Isna
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 3 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i3.2148

Abstract

Product quality has an important role in maintaining customer trust and the sustainability of the company. PT XYZ, which produces various types of animal feed, faces the problem of defects in pellet products, such as different feed size shapes, hot feed temperatures, and uneven feed colors. These defects not only affect production efficiency but can also reduce customer satisfaction. This research needs to be carried out so that PT XYZ can identify the cause of the defect and provide improvement proposals using the Six Sigma method through the DMAIC (Define, Measure, Analyze, Improve, Control) stage with Failure Mode and Effect Analysis (FMEA). The results showed that the main causes of defects were unstable engine condition, suboptimal cooling system, and dirty or worn engines, with the highest RPN values of 504, 210, and 448, respectively. The proposed improvements include standardization of engine settings, routine maintenance, and machine cleaning before use. The implementation of this recommendation is expected to improve product quality, reduce defects, increase operational efficiency, and strengthen the company's competitiveness. In addition, this research also provides continuous guidance for PT XYZ in managing a more standardized and quality production process to achieve a competitive advantage in the market. Keywords: DMAIC, FMEA, Product Quality, Six Sigma  
Analisis Total Productive Maintenance pada Mesin Reaktor Pompa Slurry 22P303A untuk Mengurangi Six Big Losses dengan Maintenance Value Stream Mapping Produksi II B PT PG Pangesti, Arwinda; Nugraha, Isna
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 3 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i3.2154

Abstract

The manufacturing industry currently faces major challenges in maintaining and improving the operational performance of production machines to ensure efficiency and product quality. PT PG is engaged in the manufacturing industry, which seeks to increase the effectiveness and efficiency of production II B, especially by using a slurry pump machine during January to June. This study aims to determine the Total Productive Maintenance and how to improve during downtime and find out how to reduce the Six Big Losses with improvements using MVSM. The method used is TPM by reducing the Six Big Losses and using the maintenance value stream mapping (MVSM) approach. The results show that the Total Productive Maintenance (TPM) on the 22P303A reactor slurry pump machine at PT PG, especially in Production Unit II, namely in January of 67.06%, February of 50.32%, March of 58.42%, April of 59.71%, in May of 32%, and in June of 53.40%. And from the Six Big Losses Analysis research shows that downtime is the biggest loss with a total of 329 minutes or representing 35% of the total operational time. The biggest loss comes from Idling and Minor Stopage Losses with a total repair time using MVSM of 171 minutes.. Keywords: Maintenance Value Stream Mapping (MVSM),Slurry Pump Machine, Total Productive Maintenance
Total Quality Control (TQC) Analysis in Identification of Damage to Coffee Production at PT XYZ Nugraha, Isna; Pulansari, Farida; Ramadhan, Gilang
Tekmapro Vol. 20 No. 2 (2025): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/tekmapro.v20i2.886

Abstract

PT XYZ is a coffee processing company with a production process involving five stages: sorting, drying, peeling, selecting, and packaging coffee beans. This study applies the Total Quality Control (TQC) approach to identify factors causing product defects. Methods include p-control charts to monitor quality variations statistically and fishbone diagrams to analyze root causes. Data were collected through interviews, observations, and company documents. The analysis revealed seven data points exceeding the upper control limit (UCL) and 11 below the lower control limit (LCL). Human errors, inadequate training, and machine-related issues were identified as the primary causes of defects. Environmental factors, such as inconsistent humidity levels, were also found to affect product quality. The findings provide actionable insights for PT XYZ to implement Kaizen-based improvements, focusing on minimizing defects, enhancing production quality, and maintaining product consistency. These measures are expected to support the company in achieving better control over quality processes and ensuring the stability of its coffee product standards.
Measuring the efficiency of the Indonesian Air Police using Data Envelopment Analysis with BCC Model Pradanarka, Andyas Mukti; Nugraha, Isna; Rakhmanhuda, Iffad
Techno.Com Vol. 24 No. 3 (2025): Agustus 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i3.13770

Abstract

As part of the Indonesian National Police, one of the tasks of the Air Police is to support the Ministry of Environment and Forestry in preventing deforestation. With the available resources, the Air Police must be able to carry out their duties efficiently. This study measures the efficiency of the support performance of ten Air Police under the Control of the Regional Police covering ten provinces to prevent deforestation. Each operations control (OC) represents a Decision-Making Unit (DMU). Using Data Envelopment Analysis (DEA) with the Banker, Charnes, Cooper (BCC) model, the results showed that two OCs (Bali and North Sulawesi) were identified as efficient, while eight OCs were inefficient.   Keywords - deforestation, efficiency, DEA, BCC, VRS
Comparative Usability Analysis of University Department Websites: A Case Study of Industrial and Chemical Engineering Programs Kirana, Intania Widyantari; Nugraha, Isna; Novasani, Raditya Jarwenda
Techno.Com Vol. 24 No. 3 (2025): Agustus 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i3.13778

Abstract

This study's goal was to compare the usability of the websites for the Industrial Engineering and Chemical Engineering departments at a university. Since these sites are critical for new students seeking information, a user-friendly interface is essential for efficient and accurate information retrieval. To conduct the study, a user performance test was administered to 40 new students, all with less than a year of study. They were asked to complete three specific tasks: downloading a form, finding a "kaleidoscope" (a summary of activities), and locating information about oral exam registration. The researchers collected data on the time students took to complete the tasks (efficiency) and the number of errors they made. This data was t hen analyzed using a Two-Way ANOVA statistical method. The results showed significant differences in usability between the two websites, with a very strong interaction effect for both efficiency and error rates. The Industrial Engineering website was most efficient for downloading a form but proved to be the least efficient for finding the kaleidoscope. Conversely, the Chemical Engineering website was most efficient for finding the kaleidoscope but was the least efficient for form downloads. Regarding errors, finding the kaleidoscope and downloading a form presented the most significant challenges, while registering for the oral exam was the least error-prone task. These findings highlight the importance of making specific, tailored improvements to academic web design to enhance the user experience on these platforms.   Keywords – Usability; University Website; User Experience; Efficiency; Error Rates