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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Industrika : Jurnal Ilmiah Teknik Industri
Rinaldi, Dimas Nurwinata
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Transportation

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Analisis Kualitas Produk Imprabox Menggunakan Metode Seven Tools Faurika, Rahmah; Fitriani, Risma; Rinaldi, Dimas Nurwinata
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 8, No 2 (2023)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v8i2.16999

Abstract

Product quality control is very important to pay attention to so that a company can continuously compete with other companies, increase its sales value, and get the trust of customers as its most important target. PT JP is an industrial company engaged in manufacturing with packaging products made from polypropylene/Impraboard, Cardboard Box, Polyethylene Foam, Spon Eva, and other packaging need materials. One of the products with a high sales rate is imprabox products. But, during the inspection process, there is a fairly high and diverse defect rate. Therefore, efforts are needed to minimize product defects using the basic seven tool method. This research begins with product inspection using a cheksheet in the QC (Quality Control) department. The inspection is carried out 23 times with a total of 3,256 items and 941 NG products. Furthermore, a flowchart is made to display the manufacturing process starting from marking, cutting, bending or fit up, welding, to finishing. Histogram is used to determine the variation of defects, in this case there are 12 types of defects including printing, EVA coating and NG cover. Pareto diagram is used to determine the dominant defects including in printing at 41.34%, Eva coating at 22.85% and NG cover at 11.265. Ishikawa/fishbone diagram is used to determine the causes of defects including human factors, machine factors, method factors and environmental factors. Scatter diagram is used to express the 77% relationship (correlation) between the variation in the number of defective products and the amount of production. The control diagram is used to analyze the control limits with UCL 40.9 and LCL 0.403.
Efektivitas Mesin Slitter Dengan Menggunakan Metode OEE di Perusahaan Packaging Pahila, Desy Ayu; Maksum, Hapid Apid; Rinaldi, Dimas Nurwinata
Industrika : Jurnal Ilmiah Teknik Industri Vol. 8 No. 4 (2024): 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.v8i4.1492

Abstract

XYZ is a company engaged in manufacturing produce packaging products that use machines in the production process. The Slitter machine is one of the main machines in this company's production flow, however, according to research results, downtime often occurs causing the production flow to stop so that losses can occur for the company due to not achieving targets. This research aims to determine the level of effectiveness of the slitter machine at PT. The research method used is an analysis of Overall Equipment Effectiveness calculations and identification of the main causes of low machine effectiveness by applying OEE and Six Big Losses analysis. The results of this research show an OEE value of 81.61% which has not yet reached the ideal World Class condition of 85% and is the biggest factor in the value of losses in Performance Efficiency is 14.606%. Keywords: Downtime, Overall Equipment Effectiveness, Packaging, Six Big Losses.  
CLUSTER AND CONJOINT ANALYSIS FOR DETERMINING ONLINE SHOP SHOPEE CUSTOMERS PREFERENCE BASED ON E-SERVICE QUALITY Rinaldi, Dimas Nurwinata; Azizah, Fahriza Nurul; Putra, Candra Galang Gemilang
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 2 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (514.275 KB) | DOI: 10.30598/barekengvol15iss2pp361-372

Abstract

The use of e-commerce as a means of shopping is a trend that is very much in demand by many Indonesians. This makes e-service quality very important in a transaction. Customer preference is one of the main factors in shaping a business strategy. This research discusses the use of cluster analysis to segment Shopee's e-commerce customers based on sociodemographic characteristics with k-means algorithm and conjoint analysis to determine which e-service quality attributes are most important to each cluster. The sociodemographic characteristics to be analyzed are gender, education, profession, e-commerce visit, income, and last purchase from the e-commerce. The result from k-means algorithm is there are 2 groupings of customers based on their sociodemographic characteristics, cluster 1 with the majority of women members with frequent visits, while for cluster 2 with the majority of male members with frequent visits. With the result of cluster analysis, conjoint analysis help this research to find which e-service quality attributes are most important. The results are members in cluster 1 prioritize Full payment payment methods when shopping online, while members in cluster 2 prioritize star seller types when shopping online. The aspect that doesn't matter most when shopping online is fulfillment in cluster 1 and security in cluster 2.
CUSTOMER SATISFACTION ANALYSIS ON SALES ENGINEERING SERVICE USING SERVQUAL AND FACTOR ANALYSIS IN PACKAGING INDUSTRY Vahlepy, Rheza; Winarno, Winarno; Azizah, Fahriza Nurul; Rinaldi, Dimas Nurwinata
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.05 KB) | DOI: 10.30598/barekengvol16iss2pp663-674

Abstract

To achieve client satisfaction, every company must be able to do its best. Companies must be able to provide services that meet or surpass their consumers' expectations to achieve customer satisfaction. As a result, the goal of this research is to look at client satisfaction with the Sales Engineer services that have been delivered. Reliability, responsiveness, assurance, empathy, and tangible customer satisfaction at PT XYZ are the characteristics used in this study. 150 consumers who were served by Sales Engineers provided the data for this study. To perform data processing, this research used SERVQUAL and Factor Analysis for determining customer satisfaction. Based on the findings of the data processing with SERVQUAL, it has been determined that two variables, Assurance, and Empathy, are capable of bringing consumer satisfaction. Based on the overall analysis using Factor Analysis, it can be concluded that the majority of the services provided by the Sales Engineer are able to meet the expectations of customers, particularly in terms of the most important factor in the emergence of customer satisfaction, to encourage these customers to be loyal to the company. Customers, as well as being responsible for and the ultimate action taken by sales in response to consumer complaints.
OPTIMIZING CARTON PRODUCT DELIVERY BY SOLVING TRAVELLING SALESMAN PROBLEM AT PACKAGING COMPANIES Aisyah, Fitri Sakinatul; Winarno, Winarno; Rinaldi, Dimas Nurwinata
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1803-1816

Abstract

Optimization of delivery routes is one form of increasing business productivity to achieve the company's main goal of distributing each product to customers. The Traveling Salesman Problem (TSP) is a combinatorial optimization problem where a salesman goes on a distribution journey that starts from the depot, then visits all customers exactly once, and ends with returning to the depot. This study aims to optimize the distribution route of carton products for packaging companies using the TSP model. The research methodology includes observation, interviews, and document studies to understand the distribution process of carton products at packaging companies. To complete the TSP model, Branch and Bound (BB) and Nearest Neighbor (NN) methods are applied to find the best solution for determining the distribution route of carton products. The way the BB method works is by utilizing branch cuts and boundaries to reduce search space and speed up the resolution process. In the NN method, the nearest point is chosen to get the shortest route distance. Research findings show that the use of the BB method results in a mileage difference from the initial route of 125 km (53% more efficient) and a fuel cost difference of 121,231 IDR (45% cheaper). Meanwhile, the NN method results in a mileage difference from the initial route of 115 km (48.94%) and a fuel cost difference of 109,901 IDR (41.27%). So, the method that produces the best solution is the BB method. The limitations of this study lie in the scale of the model used and the assumptions underlying the analysis. Future research can broaden the scope of the model and consider other factors that may affect the distribution of carton products. The results of this study contribute to improving the efficiency of carton product distribution.
Co-Authors Aisyah, Fitri Sakinatul Fahriza Nurul Azizah Faurika, Rahmah Fitriani, Risma Maksum, Hapid Apid Pahila, Desy Ayu Putra, Candra Galang Gemilang Vahlepy, Rheza Winarno Winarno