BibTex Citation Data :
@article{J.Gauss39442, author = {Mita Maulina and mustafid mustafid and bagus saputra}, title = {OPTIMALISASI CLUSTER PADA CLUSTER HIERARKI MENGGUNAKAN PSEUDO F-STATISTIC CALINSKI HARABASZ UNTUK KETAHANAN PANGAN}, journal = {Jurnal Gaussian}, volume = {14}, number = {1}, year = {2025}, keywords = {Agglomerative Hierarchical Clustering; GUI Python, Food Security System; Calinski Harabasz Pseudo F-Statistic}, abstract = {Food security is the ability of a nation to ensure that all of its inhabitants obtain food in sufficient quantities, of proper quality, based on optimizing the utilization of food. The food security of each region is different, resulting a region to have low or high food security, one of which is the area in Pati Regency as a research area. To find out this, area clustering was carried out based on variables of planted area, food production, number of food supply facilities and infrastructure, number of people with low welfare levels, number of sub-districts without sufficient connecting access, number of households without access to clean water, area, number of residents, number of households, and level of settlement. The grouping of food security areas was carried out using the Hierarchical Clustering method based on Euclidean distance calculations with cluster validation using Calinski Harabasz Pseudo F-Statistics. The results of this study obtained the optimum number of clusters as 7 clusters in the Complete Linkage closest distance calculation technique which has the highest Pseudo-F value. High quality food security is found in the highlands, namely, Gembong District, Cluwak District, Trangkil District, and Gunung Wungkal District. Meanwhile, the low quality of food security is found in lowland areas, namely, Juwana District and Pati District.}, issn = {2339-2541}, pages = {01--12} doi = {10.14710/j.gauss.14.1.01-12}, url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/39442} }
Refworks Citation Data :
Article Metrics:
Last update:
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Media Statistika journal and Department of Statistics, Universitas Diponegoro as the publisher of the journal. Copyright encompasses the rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations.
Jurnal Gaussian and Department of Statistics, Universitas Diponegoro and the Editors make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in Jurnal Gaussian journal are the sole and exclusive responsibility of their respective authors and advertisers.
The Copyright Transfer Form can be downloaded here: [Copyright Transfer Form Jurnal Gaussian]. The copyright form should be signed originally and send to the Editorial Office in the form of original mail, scanned document or fax :
Dr. Rukun Santoso (Editor-in-Chief) Editorial Office of Jurnal GaussianDepartment of Statistics, Universitas DiponegoroJl. Prof. Soedarto, Kampus Undip Tembalang, Semarang, Central Java, Indonesia 50275Telp./Fax: +62-24-7474754Email: jurnalgaussian@gmail.com
Jurnal Gaussian by Departemen Statistika Undip is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Visitor Number:
View statistics