F. Kondolembang
Universitas Pattimura

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Pemodelan ARIMA untuk Prediksi Kenaikan Muka Air Laut dan Dampaknya Terhadap Luas Sebaran Rob di Kota Ambon E. Selitubun; Y.A. Lesnussa; F. Kondolembang
JMPM: Jurnal Matematika dan Pendidikan Matematika Vol 2, No 1: Maret - Agustus 2017
Publisher : Universitas Pesantren Tinggi Darul Ulum Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/jmpm.v2i1.855

Abstract

Kenaikan permukaan air laut merupakan suatu fenomena yang diamati melalui rata-rata jumlah seluruh ketinggian pasang surut air laut setiap hari dan data yang digunakan yaitu data sekunder. Dalam penelitian ini digunakan model ARIMA untuk memprediksi kenaikan muka air laut dan dampaknya bagi luas sebaran Rob di kota Ambon. Berdasarkan hasil Analisis diperoleh model peramalan pasang surut di kota Ambon periode November-Desember 2016  terbaikadalah model ARIMA (2,0,3) dengan nilai MSE terkecil yaitu sebesar 1,4042.
Penerapan Metode Median Clustering Untuk Clusterisasi Peternakan di Provinsi Maluku M. Y. Matdoan; A. M. Balami; F. Kondolembang; S. J. Latupeirissa
ESTIMASI: Journal of Statistics and Its Application Vol. 4, No. 1, Januari, 2023 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.vi.24452

Abstract

Livestock in Maluku Province is one of the sectors that is the main priority in the context of increasing people's welfare. The potential for livestock in Maluku Province is increasing every year. However, there needs to be integrated processing and identification of potential commodities in each region. One method that is a reliable statistical method is to use the median clustering method. Median clustering is a method of grouping based on the median value. The median clustering algorithm selects K cluster centers with the aim of minimizing the sum of the measurement distances between each point cluster and the closest cluster center. The data used in this study came from the Maluku Province Central Bureau of Statistics (BPS) in 2022. The results of this research were that there were 3 clusters formed in livestock clusterization in regencies and cities in Maluku Province. Clus ter 1 consists of Southwest Maluku Regency. Cluster 2 consists of the Regencies of Central Maluku, Buru and West Seram. Furthermore, Cluster 3 consists of the Tanimbar Islands, Southeast Maluku, Aru Islands, Eastern Seram, South Buru, Ambon and Tual City.