Implementasi Algoritma Fuzzy C-Means dalam Mengelompokkan Kecamatan di Tana Luwu Berdasarkan Produktifitas Hasil Perkebunan
DOI:
https://doi.org/10.30812/matrik.v19i1.499Keywords:
Fuzzy C-Means, estate crops, analisis cluster, Tana LuwuAbstract
This study aims to classify sub-districts in Tana Luwu (Kabupaten Luwu, Luwu Timur, Luwu Utara, dan Palopo City ) using Fuzzy C-Means algorithm. The data used are data from BPS on the results of estate crops, namely coconut, oil palm, coffee, pepper, cocoa, clove, and land area. The results obtained from this study are from 45 sub-districts, there are 8 districts that are included into productive categories namely Burau, Sabbang, Mappedeceg, Baebunta, West Malangke, Sukamaju, Bone-Bone, and Tanalili. In addition, this study also found that matrix pseudo-partition selection can affect this algorithm in terms of the number of iterations produced.
Downloads
Downloads
Published
Issue
Section
How to Cite
Similar Articles
- Yuniar Farida, Adam Fahmi Khariri, Dian Yuliati, Hani Khaulasari, Clustering Couples of Childbearing Age to Get Family Planning Counseling Using K-Means Method , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 1 (2022)
- Tb Ai Munandar, Ajif Yunizar Yusuf Pratama, Regional Clustering Based on Types of Non-Communicable Diseases Using k-Means Algorithm , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 2 (2024)
- Suwardi Annas, Bobby Poerwanto, Sapriani Sapriani, Muhammad Fahmuddin S, Implementation of K-Means Clustering on Poverty Indicators in Indonesia , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 2 (2022)
- Virdiana Sriviana Fatmawaty, Imam Riadi, Herman Herman, Higher Education Institution Clustering Based on Key Performance Indicators using Quartile Binning Method , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 1 (2024)
- Amir Ali, Klasterisasi Data Rekam Medis Pasien Menggunakan Metode K-Means Clustering di Rumah Sakit Anwar Medika Balong Bendo Sidoarjo , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 1 (2019)
- Dinny Komalasari, Maria Ulfa, Pengujian Usability Heuristic Terhadap Perangkat Lunak Pembelajaran Matematika , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 2 (2020)
- Prihandoko Prihandoko, Deny Jollyta, Gusrianty Gusrianty, Muhammad Siddik, Johan Johan, Cluster Validity for Optimizing Classification Model: Davies Bouldin Index – Random Forest Algorithm , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 1 (2024)
- Safrian Aswati, M. Sabir Ramadhan, Ada Udi Firmansyah, Khairil Anwar, STUDI ANALISIS MODEL RAPID APPLICATION DEVELOPMENT DALAM PENGEMBANGAN SISTEM INFORMASI , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 16 No. 2 (2017)
- Angelina Ervina Jeanette Egeten, Nila S Rahayu, M. Ismail B.S Sobron, Handal Abdillah, ANALISIS DAN PERANCANGAN SISTEM INFORMASI TENDER AREA KOMERSIAL PADA PT. ANGKASA PURA I (PERSERO) STUDI KASUS BANDARA SEPINGGAN BALIKAPAN , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 17 No. 1 (2017)
- Saiful Nur Arif, Muhammad Dahria, Sarjon Defit, Dicky Novriansyah, Ali Ikhwan, Implementation of Single Linked on Machine Learning for Clustering Student Scientific Fields , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 1 (2022)
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Bobby Poerwanto, Fajriani Fajriani, Resilient Backpropagation Neural Network on Prediction of Poverty Levels in South Sulawesi , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 20 No. 1 (2020)
- Suwardi Annas, Bobby Poerwanto, Sapriani Sapriani, Muhammad Fahmuddin S, Implementation of K-Means Clustering on Poverty Indicators in Indonesia , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 2 (2022)