Implementation of K-Means Clustering in Food Security by Regency in East Java Province in 2022

Authors

  • Tuslaela Universitas Nusamandiri
  • Rusdiansyah Universitas Bina Sarana Informatika, Indonesia
  • Hendra Supendar Universitas Bina Sarana Informatika, Indonesia
  • Nining Suharyanti Universitas Bina Sarana Informatika, Indonesia

DOI:

10.33395/sinkron.v9i1.13169

Keywords:

Land area, Production, Clustering, K-Means, Grouping

Abstract

Food is the main need that society must fulfill. If food security is disrupted, it will have a negative impact on the nation's life. The agricultural sector has an important role in West Java Province. This province has a large area of agricultural land, so it has high potential to produce abundant agricultural production. However, knowing the adequate number of farmers is very important. Therefore, the implementation of K-Means Clustering can make a significant contribution to the East Java Provincial Agriculture Service in grouping farmers by district. To achieve optimal results, determining the best K value needs to be considered carefully. K-Means Cluster Analysis is a method of non-hierarchical Cluster Analysis that groups data into one or more groups. Data with the same characteristics is grouped into one cluster and data with different characteristics is grouped into another cluster. The data used in this research are land area and rice production in the Regency of East Java Province in 2022. Based on the results of research with the object of Food Security, it can be concluded that, the results of the analysis of the application of manual data mining calculations in Excel Software using the K-Means Clustering method, resulted in two types of clustering in the form of C0, namely the Highest Land Area and Production group with 4 districts: Jember Regency, Ngawi Regency, Bojonegoro Regency and Lamongan Regency, for C1 clustering, namely the Lowest Land Area and Production group with 25 districts in East Java Province

GS Cited Analysis

Downloads

Download data is not yet available.

References

Ali, A. (2019). Clustering of Patient Medical Record Data Using the K-Means Clustering Method at Anwar Medika Hospital Balong Bendo, Sidoarjo. MATRIK : Jurnal Manajemen, Teknik Informatika Dan Rekayasa Komputer, 19(1), 186–195. https://doi.org/10.30812/matrik.v19i1.529

Bembok, N. (2020). Kontribusi Sektor Pertanian Dalam Perekonomian Di Kabupaten Minahasa. Agri-Sosioekonomi, 16(3), 333. https://doi.org/10.35791/agrsosek.16.3.2020.30313

Cesar, W. (2023). 4593-Article Text-15458-1-10-20230613 (1). Teknik Informatika Dan Sistem Informas, 10(2), 340–354.

Ediansa, O. (2018). Analisis Dan Perancangan Sistem Penunjang Keputusan Warga Miskin Penerima Sktm Pada Pemerintah Kota Jambi. Manajemen Sistem Informasi, 3(1). https://stt-pln.e-journal.id/petir/article/view/418

Firmansyah, F. (2021). Strategi Pengendalian Alih Fungsi Lahan Sawah di Provinsi Jawa Timur. Jurnal Penataan Ruang, 16(1), 47. https://doi.org/10.12962/j2716179x.v16i1.8726

Helin G Yudawisastra. (2023). Budikdamber akuaponik sebagai strategi ketahanan pangan dan stimulus kewirausahaan saat pandemi covid-19. BEMAS: Jurnal Bermasyarakat, 3(2), 162–170. https://doi.org/10.37373/bemas.v3i2.258

Kriswibowo, S. I. P. A. (2020). Prosiding Konferensi Nasional Administrasi Negara Sinagara 2020. In Researchgate.Net. https://www.researchgate.net/profile/Yohanes_Kristianto10/publication/346495787_Meningkatkan_Kinerja_Industri_Kecil_Kampung_Batik_melalui_Keunggulan_Bersaing/links/5fc51f9b299bf1a422c3093a/Meningkatkan-Kinerja-Industri-Kecil-Kampung-Batik-melalui-Keunggul

Manihuruk, N. A. (2020). Penerapan Data Mining Dalam Mengelompokkan Calon Penerima Beasiswa Dengan Menggunakan Algoritma K-Means. KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 4(1), 29–34. https://doi.org/10.30865/komik.v4i1.2575

Muningsih, E. (2018). Sistem Aplikasi Berbasis Optimasi Metode Elbow Untuk Penentuan Clustering Pelanggan. Joutica, 3(1), 117. https://doi.org/10.30736/jti.v3i1.196

Nurzaman, M. (2023). Implementasi K-Means Clustering Dalam Pengelompokkan Banyaknya Jumlah Petani Berdasarkan Kecamatan Di Provinsi Jawa Barat. Teknik Informatika Dan Sistem Informasi, 10(3).

Rasmikayati, E. (2019). Potensi Dan Kendala Yang Dihadapi Petani Mangga Dalam Mengakses Lembaga Pemasaran. Paradigma Agibisnis, 2(1), 22–30.

Rohmatullah, A. (2020). Klasterisasi Data Pertanian Di Kabupaten Lamongan Menggunakan Algoritma K-Means Dan Fuzzy C Means. Jurnal Ilmiah Teknosains, 5(2), 86–93. https://doi.org/10.26877/jitek.v5i2.4254

Stenica Hariyono, J. (2021). Perancangan Sistem Informasi Geografis Hasil Produksi Pertanian Bawang Merah Di Kabupaten Nganjuk Menggunakan Metode K-Means. JATI (Jurnal Mahasiswa Teknik Informatika), 5(2), 487–494. https://doi.org/10.36040/jati.v5i2.3737

Syairozi. (2021). ANALISIS KEMISKINAN DI SEKTOR PERTANIAN (Studi Kasus Komoditas Padi di Kabupaten Malang). Media Ekonomi, 28(2), 113–128. https://doi.org/10.25105/me.v28i2.7169

Widyawati Boediningsih. (2023). Jurnal Pro Hukum: Vol . 12, No. 3, Maret 2023 Jurnal Pro Hukum: Pro Hukum, 12(3), 1002–1018.

Zen, M. A. (2023). Aplikasi Pengelompokan Data Runtun Waktu dengan Algoritma K-Medoids. 6(2), 117–123. https://doi.org/10.12962/j27213862.vxix.xxxx

Downloads


Crossmark Updates

How to Cite

Tuslaela, T., Rusdiansyah, R., Supendar , H. ., & Suharyanti , N. . (2024). Implementation of K-Means Clustering in Food Security by Regency in East Java Province in 2022 . Sinkron : Jurnal Dan Penelitian Teknik Informatika, 8(1), 54-60. https://doi.org/10.33395/sinkron.v9i1.13169

Issue

Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024

Section

Articles

License

Copyright (c) 2023 Tuslaela, Rusdiansyah, Hendra Supendar , Nining Suharyanti

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Crossref
Scopus
Google Scholar
Europe PMC

Most read articles by the same author(s)

1 2 > >>