PENERAPAN K-MEDOID PADA RUMAH TANGGA YANG MEMILIKI SUMBER PENERANGAN LISTRIK PLN BERDASARKAN PROVINSI
DOI:
https://doi.org/10.30865/komik.v3i1.1667Abstract
Electricity has now become something that is very much needed in daily life, every household has used PLN electricity lighting sources. However, there are also some regions in Indonesia that have not been able to enjoy good and even electric lighting. The data source used from the Indonesian Statistics Agency website is the Percentage of Household Data by Province and Treatment, 2013-2014. This study aims to classify households that have a source of electricity for PLN using the datamining algorithm with K-Medoid. The data is processed into 2 clusters, namely high level clusters (C1) and low level clusters (C2). Where the results of this study concluded from 33 provinces in Indonesia that the cluster level of low waste sorting behavior (C1) obtained 11 provinces namely Aceh, Kep. Bangka Belitung, DKI Jakarta, West Java, Central Java, DI Yogyakarta, East Java, Banten, Bali, West Nusa Tenggara, and North Sulawesi and 23 other provinces are included in the low-level cluster (C2).
Keywords: Electricity, Datamining, K-Medoid, Clustering, Household SourcesReferences
R. Syahputra, “Transmisi dan Distribusi Tenaga Listrik,†LP3M UMY, Yogyakarta, pp. 1–45, 2017.
S. M. Dewi and A. P. Windarto, “Analisis Metode Electre Pada Pemilihan Usaha Kecil Home Industry Yang Tepat Bagi Mahasiswa,†Sist. J. Sist. Inf., vol. 8, no. 3, pp. 377–385, 2019.
D. R. S. P, A. A. Muin, and M. Amin, “Pemilihan Facial Wash Untuk Kulit Wajah Berminyak Dengan Metode Promethee II,†CESS (Journal Comput. Eng. Syst. Sci., vol. 4, no. 2, pp. 222–229, 2019.
C. Astria, A. P. Windarto, and Z. Musiafa, “Pemilihan Produk Sampo Sesuai Jenis Kulit Kepala Dengan Metode Promethee II,†CESS (Journal Comput. Eng. Syst. Sci., vol. 4, no. 2, pp. 178–185, 2019.
D. N. Batubara, A. P. Windarto, and M. R. Raharjo, “Penerapan Promethee II Pada Pemilihan Produk Conditioner Sebagai Upaya Peningkatan Minat Beli Konsumen,†CESS (Journal Comput. Eng. Syst. Sci., vol. 4, no. 2, pp. 191–197, 2019.
D. N. Batubara, D. R. S. P, and A. P. Windarto, “Penerapan Metode PROMETHEE II Pada Pemilihan Situs Travel Berdasarkan Konsumen,†J. SISFOKOM, vol. 8, no. 1, pp. 46–52, 2019.
A. P. Windarto, “Penerapan Datamining Pada Ekspor Buah-Buahan Menurut Negara Tujuan Menggunakan K-Means Clustering Method,†Techno.Com, vol. 16, no. 4, pp. 348–357, 2017.
M. G. Sadewo et al., “Penerapan Algoritma Clustering Dalam Mengelompokkan Banyaknya Desa / Kelurahan Menurut Upaya Antisipasi / Mitigasi Bencana Alam Menurut Provinsi Dengan K-Means,†vol. 2, pp. 311–319, 2018.
H. Siahaan, H. Mawengkang, S. Efendi, A. Wanto, and A. P. Windarto, “Application of Classification Method C4 . 5 on Selection of Exemplary Teachers,†in IOP Conference Series, 2018, pp. 1–6.
Sudirman, A. P. Windarto, and A. Wanto, “Data mining tools | rapidminer: K-means method on clustering of rice crops by province as efforts to stabilize food crops in Indonesia,†IOP Conf. Ser. Mater. Sci. Eng., vol. 420, p. 12089, 2018.
S. Azhar, H. Latipa, S. Leni, and N. Zulita, “Sistem Pakar Penyakit Ginjal Pada Manusia Menggunakan Metode Forward Chaining,†J. Media Infotama, vol. 10, no. 1, pp. 16–26, 2014.
T. Budiharjo, Soemartono, T., Windarto, A.P., Herawan, “Predicting tuition fee payment problem using backpropagation neural network model,†Int. J. Adv. Sci. Technol., 2018.
T. Budiharjo, Soemartono, T., Windarto, A.P., Herawan, “Predicting school participation in indonesia using back-propagation algorithm model,†Int. J. Control Autom., 2018.
A. P. Windarto, M. R. Lubis, and Solikhun, “Model Arsitektur Neural Network Dengan Backpropogation Pada Prediksi Total Laba Rugi Komprehensif Bank Umum Konvensional,†Kumpul. J. Ilmu Komput., vol. 5, no. 2, pp. 147–158, 2018.
A. P. Windarto, M. R. Lubis, and Solikhun, “IMPLEMENTASI JST PADA PREDIKSI TOTAL LABA RUGI KOMPREHENSIF BANK UMUM KONVENSIONAL DENGAN BACKPROPAGATION,†J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 4, pp. 411–418, 2018.
Sumijan, A. P. Windarto, A. Muhammad, and Budiharjo, “Implementation of Neural Networks in Predicting the Understanding Level of Students Subject,†Int. J. Softw. Eng. Its Appl., vol. 10, no. 10, pp. 189–204, 2016.
W. A. Triyanto, “Algoritma K-Medoids Untuk Penentuan Strategi Pemasaran Produk,†Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 6, no. 1, p. 183, 2015.
D. F. Pramesti, M. T. Furqon, and C. Dewi, “Implementasi Metode K-Medoids Clustering Untuk Pengelompokan Data Potensi Kebakaran Hutan / Lahan Berdasarkan Persebaran Titik Panas (Hotspot),†J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 1, no. 9, pp. 723–732, 2017.
