Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal INFORMAL: Informatics Journal IJISTECH (International Journal Of Information System & Technology) IJISTECH Journal of Applied Computer Science and Technology (JACOST) DEVICE
Fajrin Nurman Arifin
Program Studi Sistem Informasi, Fakultas Ilmu Komputer, Universitas Jember, Jln. Kalimantan 37, Jember 68121, Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mechanical Engineering Social Sciences

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : INFORMAL: Informatics Journal

 1 
Optimasi K-Klasterisasi Ketahanan Pangan Kabupaten Jember Menggunakan Metode Elbow Aski Widdatul Fuadah; Fajrin Nurman Arifin; Oktalia Juwita
INFORMAL: Informatics Journal Vol 6 No 3 (2021): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v6i3.28363

Abstract

Clustering is a process of grouping data based on similarities or similarities with other members in a group. Food security is the condition of a country to provide food for individuals, which does not conflict with beliefs, religion and culture and leads a healthy, active and productive life. Food instability and food insecurity can be caused by many factors, one of which is natural disasters. In 2020, Jember Regency experienced 121 natural disasters. Determination of the optimal K value is done to get the right number of group divisions from the clustering process, in this case using the elbow method. The data used in the clustering process are sub-districts in Jember Regency using transient attributes or natural disaster events. Based on the results of sub-district data grouping from the number of clusters k=1 to k=10, the optimal k value was found at the value of k = 4 with the SSE (Sum of Square Error) value = 24,809.
Klasterisasi Wilayah Kabupaten Jember Berdasarkan Tingkat Ketahanan Pangan Fajrin Nurman Arifin; Oktalia Juwita
INFORMAL: Informatics Journal Vol 7 No 2 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i2.33227

Abstract

Food security is a condition of food proclamation based on the availability of sufficient food to be able to live a healthy, active and productive life in a sustainable manner. Based on data from the Global Food Security Index (GFSI), Indonesia is ranked 69th with a level of food availability with a value of 63.7% and a level of ability or food needs of 74.9%. Jember Regency as one of the regencies in East Java Province based on TP2AK food security data in 2020 is in good condition (very resistant). However, in the same year Jember Regency experienced natural disasters with a total of 92 incidents The World Food Program in 2009 explained that one of the indicators of food security is vulnerability to food insecurity which is influenced by natural disasters. Based on the disaster conditions experienced by Jember Regency, the research carried out is to group food security areas in the Jember Regency area based on transient indicators using the KMeans method. The results of the analysis of the optimal SSE cluster formed in K4 (4 clusters) with an SSE value of 24,809. Each of the 4 clusters formed has a food security category of very resistant, resistant, moderately resistant, and somewhat vulnerable.
Co-Authors Adnan, Fahrobby Anida Sholihah Aski Widdatul Fuadah Fitriyana Dewi Miftahul Jannah Asy'ari Oktalia Juwita