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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.
ANALISIS PENGENDALIAN KUALITAS PROSES PHOSPHATING PADA PT CITRA TUBINDO TBK Micola, Bagas; Sumantika, Arsyad
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11063

Abstract

This study discusses quality control analysis in the phosphating process at PT Citra Tubindo Tbk, a manufacturer of Oil Country Tubular Goods (OCTG). The problem identified was the high rate of non-homogeneous defects in the phosphating process, reaching an average of 4.16% from January to August 2025, which exceeded the company's maximum standard of 2%. This research aims to identify the optimal process parameters to minimize defects and improve process stability using the Taguchi Method. The experimental design used an L9 (3^3) Orthogonal Array involving three control factors: solution pH, immersion time, and temperature. Based on the analysis of the Signal-to-Noise (S/N) Ratio and mean response, it was found that the optimal combination of parameters to minimize defects is a solution pH of 38, an immersion time of 10 minutes, and a temperature of 70°C. The implementation of this optimal level combination is expected to reduce process variability and significantly decrease the defect rate, thereby meeting the company's quality standards.
PERANCANGAN SISTEM PENGENDALIAN KUALITAS PROSES DI PT. VISTA MEGA JAYA Panegoro, Dewo Setyo; Sumantika, Arsyad
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

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

Abstract

PT Vista Mega Jaya, a company engaged in the fabrication of industrial, restaurant, and residential equipment, was identified as lacking quality control in the dome device table production process at PT Vista Mega Jaya. Based on the identified key issues, the objective of this study was to utilize the DMAIC method, one of the six sigma concept tools, to improve product quality by identifying the causes of product defects and developing proposed improvement plans. The DMAIC method can be used to reduce product defects occurring in the dome device table production process at PT Vista Mega Jaya. The results of the DMAIC study revealed that the average defect rate from January 2024 to December 2024 was 5.6%, with a sigma value of 2.4%, as the company aims for a defect rate of less than 3%. The largest number of defects occurred in the welding process. The lack of work process guidelines, disorganized workers, and inadequate maintenance led to a high number of defective products, necessitating rework. After implementing the improvement plan within four months, the dome device table production process achieved a sigma value of 3.57 out of 2.4.
ANALISIS PERBAIKAN PROSES PRODUKSI PADA UKM TAHU RONGGOLAWE septrianis, Novia; Sumantika, Arsyad
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11171

Abstract

Small and Medium Enterprises (SMEs) play a strategic role in the national economy, especially in the food sector such as tofu production. Many food SMEs still face quality issues due to unstandardized production processes, limited sanitation, and weak quality control. This study analyzes and proposes improvements for the tofu production process at UKM Tahu Ronggolawe, Batam City, to enhance product quality and efficiency. Methods include Six Sigma, Good Manufacturing Practices (GMP), and Work Improvement in Small Enterprises (WISE). Data were collected through observation, interviews, and documentation of production and defect data from January to June 2025. Six Sigma analysis shows an average DPMO of 37,864 and an average sigma level of 3.28, indicating moderate process capability with notable defect opportunities. GMP evaluation reveals sanitation, worker hygiene, equipment, production environment, and documentation mostly fall into less compliant or non-compliant categories. WISE assessment indicates work systems, production layout, machine safety, welfare facilities, and organization are poorly structured and lack written SOPs. Proposed improvements include sanitation SOPs, routine employee work rules, better hygiene practices, and gradual optimization of production layout and environment. Integrating Six Sigma, GMP, and WISE is expected to reduce defects, improve product consistency, and achieve a more efficient, hygienic, and sustainable tofu production process.