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Journal : Pattimura International Journal of Mathematics (PIJMath)

Implementation of Centroid Clustering Method for Industrial Clusterization in Regencies and Cities in Maluku Province Matdoan, M. Y.; Fadhilah, Rahmi; Laamena, N. S.; Safira, Dinda Ayu; Loklomin, S. B.
Pattimura International Journal of Mathematics (PIJMath) Vol 3 No 1 (2024): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pijmathvol3iss1pp09-14

Abstract

The industrial sector has a vital role in economic development. In addition to increasing state revenue, the industrial sector can also provide business opportunities that make a positive contribution to efforts to equalize community welfare. The limited employment opportunities available in Maluku Province need to be balanced with the increase in the labor force, which significantly impacts the high unemployment. Basically, the high unemployment rate will significantly impact economic development, which aims to improve the standard of living of the people in Maluku Province. Centroid Linkage is the average of all objects in the cluster, and the distance. The distance between the cluster centroids is what separates two clusters. Cluster centroid is the center value of observations on variables in a set of cluster variables. The purpose of this research is to cluster the distribution of industries in regencies and cities in Maluku Province using data from BPS Maluku Province. This study obtained the results that there are 3 clusters formed in the clusterization of industry in regencies and cities in Maluku Province, namely cluster 1 consisting of Tanimbar Islands Regency. Cluster 2 consists of Buru, South Buru, West Seram, East Seram, Central Maluku, Tual City, Southeast Maluku, and Aru Islands Regency. Furthermore, Cluster 3 consists of Ambon City and Southwest Maluku.
Application of Demerit Chart and Fuzzy Demerit Chart for Monitoring Paper Production Matdoan, M. Y.; Talakua, A. H.; Marsono, Marsono; Safira, D. A.; Suriaslan, A. S.; Zulfadhli, M.; Rukua, A. W.
Pattimura International Journal of Mathematics (PIJMath) Vol 3 No 2 (2024): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pijmathvol3iss2pp77-86

Abstract

Statistical Process Control (SPC) is an important method in quality control to monitor and improve production processes. Control charts are one of the SPC tools that are often used to quickly detect the causes of process variation so that improvements can be made before more nonconforming products are produced. The u chart is commonly used to monitor the number of defects in a production unit. However, this control chart has limitations in handling variations in defect severity, so demerit and fuzzy demerit control charts were developed to assign weights to defects based on their severity. Demerit and fuzzy demerit control charts have been applied in various production cases, but the study of the application of demerit and fuzzy demerit control charts in the industrial field, especially the paper industry, has never been done. The purpose of this study is to apply demerit and fuzzy demerit control charts to monitor and evaluate the quality of the paper production process at PT. Bosowa Media Grafika (Tribun Timur). The data used in this study are secondary data obtained from research conducted by Ilham (2012). The results obtained that the demerit chart and the fuzzy demerit chart show that the paper production process at PT Bosowa Media Grafika (Tribun Timur) is still in a stable condition (incontrol) in each observation. This shows that demerit and fuzzy demerit control charts have the same performance in monitoring the paper production process.