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ANALISIS PASOKAN BAHAN BAKU PISANG DENGAN PEMILIHAN PEMASOK PADA UKM AYUMI PASTRY Sinta Verda Ningsih, Sinta; Sumantika, Arsyad
Computer Science and Industrial Engineering Vol 11 No 2 (2024): Comasie Vol 11 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i2.9077

Abstract

Supplying raw materials and selecting suppliers is one of the most important things in producing quality products. UKM Ayumi Pastry experienced problems in managing the supply of banana raw materials optimally and experienced problems determining the best banana supplier. In this research, raw material inventory processing was carried out using the Economic Order Quantity (EOQ) method and supplier selection using the Analytical Hierarchy Process (AHP) method. The aim of this research is to analyze the supply of banana raw materials by selecting selected suppliers and ordering economical supplies. Control of raw materials using the EOQ method, namely economical ordering by placing 20 orders in 2023, the order quantity is 217.29 kilograms. Meanwhile, according to Ayumi Pastry's policy, this is done 13,25 times with an order quantity of 371 kilograms. The TIC according to EOQ for the costs incurred is Ro889,943 less than the costs incurred by the UKM Ayumi Pastry policy. For the AHP method, the supplier selected is Supplier A as the main priority in fulfilling banana raw materials with a weight of 0.5245 and Supplier B as a backup supplier in fulfilling banana raw materials is in Rank III with a weight of 0.1929.
ANALISIS PENGENDALIAN KUALITAS PRODUKSI BAKSO FROZEN PADA UKM MULYA MANDIRI Micoginta; Sumantika, Arsyad
Computer Science and Industrial Engineering Vol 12 No 1 (2025): Comasi Vol 12 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i1.9581

Abstract

Small and medium-sized enterprise (SMEs) Mulya Mandiri is a SMEs that produces frozen meatballs in Batam.In facing the challenges of maintaining the quality of their products with The limitations of resources, technology, capital, and human resources often become obstacles in implementing an effective quality control system. In the study, it was found that the reject or defect rate of frozen meatball products was quite high. The most common product defects found are the wrinkled texture of the meatballs, followed by the shape of the meatballs not being perfectly round, being flat, and the meatballs clumping together. From the obtained data, it will be processed using the Statistical Quality Control method, which has tools such as check sheets, histograms, Pareto diagrams, control charts, and fishbone diagrams. Then it can be analyzed using the Fault Tree Analysis method, which is useful for identifying the root causes of defects in the product, as well as the Failure Mode and Effect Analysis, which is useful for determining potential failure modes, assessing the occurrence and severity of failures, calculating the Risk Priority Number (RPN), and proposing corrective actions to reduce the RPN value.
ANALISIS MITIGASI RESIKO OPERASIONAL BISNIS PADA PT XYZ BATAM Sry Elni Wira Yanti Gulo; Sumantika, Arsyad
Computer Science and Industrial Engineering Vol 13 No 1 (2025): Comasie Vol 13 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i1.10282

Abstract

PT XYZ, as a logistics service provider, faces complex operational risks such as incorrect data input in the system, limited supply availability, and sudden customer demand. These risks lead to delivery delays, inaccurate information flow, and decreased operational efficiency. This study aims to identify and analyze operational risks and develop appropriate mitigation strategies. The methods used include the Supply Chain Operations Reference (SCOR) model to map the supply chain processes (plan, source, make, deliver, and return), and the House of Risk (HOR) Phase 1 and 2 to identify the relationship between risk events and risk agents, determine risk priorities based on the Aggregate Risk Potential (ARP), and formulate mitigation strategies using the Effectiveness to Difficulty Ratio (ETD). The results show that there are 16 risk events and 17 risk agents, with 3 risk agents identified as top priorities. A total of 11 mitigation strategies were proposed, including the implementation of an ERP system, integration of an Early Warning System, and strengthening of human resource competencies. These strategies are expected to reduce recurring risks and support the sustainable improvement of PT XYZ’s operational performance.
ANALISIS PENGENDALIAN KUALITAS PIPA MARINE HOSE PADA PT YOKOHAMA INDUSTRIAL PRODUCTS MANUFACTURING INDONESIA Kurniawan, Nur Indra; Sumantika, Arsyad
Computer Science and Industrial Engineering Vol 13 No 4 (2025): Comasie Vol 13 No 4
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i4.10555

Abstract

This study explores the impact of integrating Failure Mode and Effect Analysis (FMEA) and Root Cause Analysis (RCA) on marine hose quality at PT Yokohama Industrial Products Manufacturing Indonesia. Driven by a defect rate that exceeded the 5% threshold (5.13% from June 2024 to May 2025), the research employed a descriptive quantitative design, using observation, documentation, and interviews. Among 937 defective units, surface cracks (468 cases, 39.8%), joint leaks (281 cases, 23.4%), and pipe deformations (188 cases, 15%) were most prevalent. FMEA assigned Risk Priority Numbers (RPNs), identifying cracking (RPN = 270), leakage (240), and deformation (144) as top risks. RCA with the 5 Whys revealed root causes: irregular vulcanization machine calibration, substandard raw materials, and inconsistent temperature control. Following corrective measures scheduled calibrations, raw material verification, and standardized vulcanization processes the defect rate dropped significantly. Over three months, defective units fell from 243 to 97 (a 40% reduction), and RPNs decreased: cracking to 120 (−55.6%), leakage to 90 (−62.5%), and deformation to 60 (−58.3%). These results confirm that combining FMEA and RCA effectively reduces failure risk, enhances product quality, and improves manufacturing efficiency.