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All Journal Pattimura International Journal of Mathematics (PIJMath) PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Laamena, Novita S.
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Mathematics

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Pendalaman Konsep Dalam Rangka Persiapan Kompetisi Bidang Statistika Untuk Siswa Sma Negeri 2 SBB Salhuteru, Rosalina; Lembang, Ferry Kondo; Haumahu, G.; Nanlohy, Y. W. A.; Laamena, Novita S.; Yudistira, Yudistira
PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya Vol 2 No 2 (2024): PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pengamatanv2i2p39-46

Abstract

Statistics taught at high school level consists of several basic concepts, namely descriptive statistics, combinatorics, and probability theory. Competitions can be an effective tool to encourage students to hone their skills and assess the extent to which the concepts they have learned are applied well. However, until now there is still a gap in student achievement in competitions between Maluku Provinces, due to gaps in students' understanding of basic concepts, especially in the field of Statistics. SMA Negeri 2 Seram Barat, as one of the leading schools in the region, actually has the potential to encourage its students to excel in competitions, but is hampered by an understanding of basic concepts, especially in the field of Statistics, which is still not optimal. The Mathematics Department, Faculty of Mathematics and Natural Sciences, Pattimura University took the initiative to provide deeper concepts to students at SMA Negeri 2 West Seram as preparation for facing competitions in the field of statistics, by providing effective explanations of the basic concepts of statistics that have been studied at the high school level, as well as enriching them with practice questions at Olympic level. to encourage students to work on questions. This activity aims to help students at SMA Negeri 2 Seram Barat Part in understanding the basic concepts in the field of Statistics, as well as as an example for SMA Negeri 2 Seram Barat teachers in implementing more effective student development strategies in order to prepare for competitions in the field of Statistics that will be participated in in the future. will come.
Application of the K-Means Algorithm for Clustering Production of Capture Fisheries in Maluku Province Matdoan, M. Y; Purnamasari, Nur A.; Laamena, Novita S.
Pattimura International Journal of Mathematics (PIJMath) Vol 2 No 2 (2023): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pijmathvol2iss2pp63-70

Abstract

Maluku Province has large natural resources with various potentials, from the ocean floor to the mainland. Capture fishery products are one of the leading sectors that contribute greatly to the GRDP of Maluku Province. The K-Means clustering algorithm is a suitable algorithm for grouping data objects that have the same identity. The purpose of this study is to cluster districts/cities in Maluku Province based on capture fishery products. The type of data in this study is secondary data sourced from the Maluku Province Central Bureau of Statistics (BPS) Publication in 2022. The result is that there are 3 districts/cities clusters in Maluku Province based on capture fishery products. Cluster 1 with the category of sufficient capture fisheries products, namely the Districts of Tanimbar Islands, Buru, East Seram, West Seram, South Buru, Southwest Maluku, Ambon City and Tual City. Furthermore, Cluster 2 with the category of many capture fishery products, namely the Aru Islands Regency and Southeast Maluku Regency. Furthermore, for Cluster 3, the category of capture fishery products is very large, namely Central Maluku Regency.
Co-Authors Ferry Kondo Lembang Haumahu, G. Matdoan, M. Y Nanlohy, Y. W. A. Purnamasari, Nur A. Rosalina Salhuteru Yudistira Yudistira