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Analisis dan Mitigasi Risiko pada Supply Chain dengan Metode House of Risk (HOR): Studi Kasus PT. CDE Setiyadi, Nanda; Ernawati, Dira; Dewi, Sinta
Ekonomis: Journal of Economics and Business Vol 9, No 2 (2025): September
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v9i2.1937

Abstract

PT CDE is a strategic company owned by a State-Owned Enterprise (BUMN) specializing in the production of key equipment for Indonesia's defense system, particularly for the maritime sector. The House of Risk (HOR) model is an approach inspired by the FMEA (Failure Mode and Error Analysis) method. Risk assessment in this method is carried out using a metric called the Risk Priority Number (RPN), which consists of three factors: the probability of occurrence and the severity of the possible impact. The results show that there are 20 risk events and 41 risk agents that constitute supply chain risks, along with recommendations for mitigating priority risk agents.
Implementasi Lean Warehousing untuk Meminimasi Waste di Gudang PT XYZ Fitriyah, Jihan; Ernawati, Dira; Rahmawati, Nur
Ekonomis: Journal of Economics and Business Vol 9, No 2 (2025): September
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v9i2.1916

Abstract

The purpose of this study is to identify waste in the warehousing process using value stream mapping and provide suggestions for improvements to the efficiency of warehousing operations at PT XYZ. This study uses a lean warehousing approach with the value stream mapping method, process activity mapping, gemba shikumi, and 5 whys analysis. The results of this study concluded that improvements by simplifying the process activity mapping resulted in a reduction of 10 warehousing activities, for each type of activity, a reduction of 12 types of activities was obtained. Then the time obtained previously from 268,000 minutes became 266,384 minutes, thus saving 1,616 seconds or 26 minutes 56 seconds at PT XYZ.
Optimizing Raw Material Inventory Control with ABC and Min-Max Methods: Optimasi Pengendalian Persediaan Bahan Baku dengan Metode ABC dan Min-Max Pradinain, Rizky Fadilla; Ernawati, Dira; Dewi, Sinta
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.1648

Abstract

General background: Inventory control is a critical component in the printing industry, where efficiency and accuracy directly affect production continuity and cost management. Specific background: PT XYZ, a printing and packaging company using an offset-based make-to-order system, faces recurring issues of overstock and inefficiency due to the absence of systematic inventory prioritization and stock regulation. Knowledge gap: Prior studies confirm the utility of ABC Analysis and Min-Max Stock methods, but limited research evaluates their combined application in the context of printing industries with fluctuating demand. Aims: This study aims to optimize raw material inventory control of paper and ink through the integration of ABC Analysis and Min-Max Stock methods. Results: Findings reveal that four types of paper and three types of ink fall under category A, and applying Min-Max Stock significantly reduced order frequency and safety stock, achieving cost savings up to 73% for paper and 30% for ink compared to the company’s conventional method. Novelty: The study demonstrates that combining both methods yields higher efficiency and adaptability than using either approach in isolation. Implications: This integrated approach offers strategic guidance for printing companies to achieve sustainable, structured, and cost-effective inventory management. Highlights: Significant cost savings achieved (up to 73% for paper, 30% for ink). Integration of ABC and Min-Max methods ensures efficient and adaptive control. Provides strategic guidance for sustainable inventory management. Keywords: Inventory Control, ABC Analysis, Min-Max Stock, Raw Materials, Cost Efficiency
Life Cycle Assessment Analysis of Corrugated Carton Box Production Process to Measure Eco-Efficiency Level Fatmawati, Erliansa; Ernawati, Dira; Dewi, Sinta
Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i5.2220

Abstract

The production of carton boxes is an energy-intensive process that generates various contaminants, polluting water and air, and affecting both ecology and human health. This study focuses on the environmental impact during the carton box production process at PT XYZ, aiming to calculate and analyze the environmental impact while measuring the eco-efficiency level of the production process. The research method employed in this study is quantitative descriptive, with primary data sources consisting of interviews, while secondary data includes company reports. Data were processed using SimaPro software and the Eco Indicator 99 method. Eco-efficiency measurement was conducted using the Life Cycle Assessment approach. The results indicate that the production of 1 ton of carton boxes generates an environmental impact of 315 Pt, with the largest contributions coming from the corrugating, folding, and customer delivery stages. The eco-cost value was IDR8,922,503, yielding an eco-efficiency index of 1.34, indicating that the production process is environmentally friendly and economical. However, the eco-efficiency ratio of 25.6% is still considered low, necessitating improvements in energy efficiency and emission reduction. Recommended improvements include substituting fossil fuels with renewable energy, selecting environmentally friendly suppliers, and replacing or modifying machinery to enhance efficiency and reduce emissions.
Implant Design Femur Bone using CAD Computation with Variation in Implant Plate Length Az Zahra, Ladya Cheril; Sudrajat, Oka Akbar; Santika, Arum Sinda; Ernawati, Dira; Sujiwa, Akbar
Faraday: Journal of Fundamental Physics, Research, and Applied Science Vol. 1 No. 1 (2025): Faraday: Journal of Fundamental Physics, Research, and Applied Science
Publisher : Universitas Pembangunan Nasional "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/faraday.v1i1.9

Abstract

Femoral fractures are among the most common and severe musculoskeletal injuries, necessitating effective and reliable treatment strategies. This study explores the biomechanical performance of femur implants by evaluating the effects of material selection and implant design using the finite element method (FEM). Three biocompatible materials—titanium alloy Ti-6Al-4V, stainless steel, and PEEK—were analyzed under linear elastic isotropic conditions. Implant designs varied in length (10.02 mm, 13.37 mm, and 15.60 mm) with a fixed head thickness of 3 mm. Simulations assessed stress distribution, deformation, and overall structural performance under physiological loading conditions. Results demonstrated that implant length significantly affects mechanical behavior. The 15.60 mm implants exhibited the most uniform stress distribution and minimal deformation, indicating superior mechanical stability. In contrast, shorter implants (e.g., 10.02 mm) showed increased stress concentrations and deformation, suggesting a higher risk of mechanical failure. Among the materials tested, Ti-6Al-4V outperformed others due to its favorable combination of strength and biocompatibility. The study concludes that longer implants made from titanium alloy provide improved structural integrity, offering safer and more durable options for femoral fracture repair. These findings contribute to the optimization of implant design for enhanced clinical outcomes in orthopedic applications
Designing Supply Chain Resilience With a Quality Function Deployment (QFD) Approach at PT. XYZ Rizka Novitasari; Ernawati, Dira
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3959

Abstract

PT. XYZ is a leading company in the palm oil industry, but there are still problems that need to be addressed in its supply chain management. The problems include 3% product returns from cooking oil shipments to distributors under the brands Sania cooking oil, Fortune cooking oil, Sovia cooking oil, and Siip cooking oil. In addition, there are fluctuations in demand, an increase in demand of 170% with a demand of 20,774 tons and a decrease in demand of 59% with a demand of 7,225 tons at an average monthly production of 12,195 tons. This research aims to design Supply Chain Resilience with a Quality Function Deployment (QFD) approach. This QFD approach uses a 3-level HOQ. HOQ 1 assesses the relationship between customer needs and potential risks, resulting in risk prioritization. HOQ 2 assesses the relationship between potential risks and risk causes, resulting in the prioritization of risk causes. HOQ 3 assesses the relationship between risk causes and resilience measures, resulting in the prioritization of resilience measures. From the research results, 20 resilience measures were obtained and the 5 highest ranks were obtained as priority resilience measures, namely insurance, marketing quick response, product quality, customer relations, preventive maintenance and repair. The results of the resilience measure design are expected to be used as risk mitigation for the company.
Waste Analysis In Delivery Process Using The Lean Distribution Method Adhella Ika Putri; Ernawati, Dira
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3960

Abstract

In the current era of globalization, the existence of goods delivery service companies supports almost every area of human life. In the process of delivering goods, PT. X always strives to provide fast and precise service. However, the problem faced by the company is the long lead time for delivery of goods. This study employs a lean distribution approach, applying Value Stream Mapping and identifying waste using the 8 waste framework. The research findings revealed waiting recapitulation of 20%, excess processing of 18%, overproduction of 17%, defects of 13%, non-utilized talent of 10%, inventory of 9%, transportation of 7%, and motion of 6%. With proposed improvements, the delivery process time can be reduced from 8243 minutes to 5929 minutes.
The Influence of ERP-SAP Implementation and Inventory Management on Production Efficiency through Inventory Control Performance Using Partial Least Square (PLS) Method Pradata, Amelia Putri; Ernawati, Dira
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3961

Abstract

PT XYZ is the largest manufacturing company in Indonesia that produces biscuits with the support of the SAP system, which has integrated data from each division, especially the inventory control division. Due to the accessibility of real-time data, it was observed that there were two late arrivals of raw materials, causing the company to only achieve 75% of the weekly production target. Therefore, this study aims to determine the effect of ERP-SAP implementation and inventory management on smooth production and provide recommendations for improvement through inventory control performance at PT XYZ. The method used is Partial Least Square (PLS) which uses SmartPLS. Based on the research conducted, it was found that the implementation of ERP-SAP does not have a positive impact on production flexibility, but has a positive impact on inventory management performance, and then inventory management directly positively affects production efficiency and inventory control performance
Analysis Of Core Supply Chain Process Performance Based On The Lean Six Sigma Supply Chain Management Approach (Case Study: PT Pg. Candi Baru) Arifano, Krisna Ramadhian; Ernawati, Dira; Dewi, Sinta
Eduvest - Journal of Universal Studies Vol. 4 No. 7 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i7.1253

Abstract

The aim of the research is to integrate the lean six sigma supply chain management concept to design and measure performance measurement models and determine the causes of company performance failures and then provide recommendations for improvement according to the lean concept. This research was carried out only up to the improvement stage. The result of this research is an overall performance measurement of 66.6666 where this value can be categorized as "Average". This value shows that supply chain management activities at PT. PG Candi Baru is running moderately and obtained 9 KPIs that have not reached the target. Waste is the cause of the 9 KPIs not achieving the target, namely waste defects, waiting, not utilizing employee knowledge, skills and abilities and extra processing. Recommendations for improvement given to the company to reduce the occurrence of waste are: For defects in sugar quality, the proposed improvement is to carry out milling in accordance with established standards and use raw materials that comply with specifications. When waiting for raw materials to be late, the proposed improvement is that the plant department must carry out earlier purchasing planning to avoid waste waiting and prioritize TS suppliers because they have a higher weight than other suppliers. The proposed improvement for the production department is training on how to forecast production scheduling. In extra processing, the proposed improvement is that the company can provide a quality control list when inspecting the finished product so that the inspection is more controlled.
Penerapan Metode Lagrange Multiplier untuk Meminimalkan Biaya Persediaan Material Plat di PT. PAL Indonesia (Persero) Setiawan, Agung; Ernawati, Dira
BRILIANT: Jurnal Riset dan Konseptual Vol 8 No 3 (2023): Volume 8 Nomor 3, Agustus 2023
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v8i3.1461

Abstract

PT. PAL Indonesia adalah industri galangan kapal terbesar di Indonesia. Permasalahan yang terjadi ialah kurang optimalnya sistem pengendalian persediaan bahan sehingga mengakibatkan pembengkakan biaya persediaan dan overcapacity gudang. Penelitian ini bertujuan untuk menentukan jumlah optimal persediaan bahan baku untuk meminimalkan total inventory cost dan ruang penyimpanan. Metode yang digunakan adalah Lagrange Multiplier. Berdasarkan hasil penelitian, metode Lagrange Multiplier memperoleh total ruang penyimpanan baru 507 . Nilai ini memperlihatkan keadaan optimal karena pesanan tidak melebihi kapasitas penyimpanan PT. Pal Indonesia yaitu 510  dengan jumlah pemesanan setiap jenis plat sebagai berikut plat 8 mm 27 ton, plat 9 mm dari 28 ton, plat 11 mm dari 35 ton, dan metode usulan Lagrange Multiplier dapat meminimalkan total inventory cost sebesar Rp 387.180.637.