Pengelompokan Daerah Padat Penduduk Untuk Penentuan Kawasan Perumahan di Kota Lhokseumawe Menggunakan K-Medoids Clustering
DOI:
https://doi.org/10.5201/jet.v4i1.407Kata Kunci:
K-medoids, Clustering, Data miningAbstrak
Lhokseumawe city is one of the cities in Aceh province which has the second largest population after the city of Banda Aceh. With an area of 181.06 KM2 the population in Lhoseumawe reached 207.2 thousand in 2019. K-medoids on the population density clustering system in the city of Lhokseumawe is an application for clustering population density with very dense, dense and not dense clusters, with total data from 68 villages in the city of Lhokseumawe from 2017 to 2021. This research uses data mining techniques in the data management process using the K-medoids clustering method.
Referensi
Garikapati, P. R., Balamurugan, K., Latchoumi, T. P., & Shankar, G. (2022). A quantitative study of small dataset machining by agglomerative hierarchical cluster and K-medoid. In Emergent Converging Technologies and Biomedical Systems: Select Proceedings of ETBS 2021 (pp. 717-727). Singapore: Springer Singapore.
Rahardja, U., Hariguna, T., & Baihaqi, W. M. (2019, August). Opinion mining on e-commerce data using sentiment analysis and k-medoid clustering. In 2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media) (pp. 168-170). IEEE.
Herman, E., Zsido, K. E., & Fenyves, V. (2022). Cluster analysis with k-mean versus k-medoid in financial performance evaluation. Applied Sciences, 12(16), 7985.
Chen, J. I. Z., & Hengjinda, P. (2021). Enhanced dragonfly algorithm based K-medoid clustering model for VANET. Journal of ISMAC, 3(01), 50-59.
Silitonga, D. A., Windarto, A. P., Hartama, D., & Sumarno, S. (2019, August). Penerapan Metode K-Medoid pada Pengelompokan Rumah Tangga Dalam Perlakuan Memilah Sampah Menurut Provinsi. In Seminar Nasional Sains dan Teknologi Informasi (SENSASI) (Vol. 2, No. 1).
Gurning, U. R., & Mustakim, M. (2021). Penerapan Algoritma K-Means dan K-Medoid untuk Pengelompokkan Data Pasien Covid-19. Building of Informatics, Technology and Science (BITS), 3(1), 48-55.
Chen, Y., Li, H., Lin, H., Wang, Y., Zhao, Y., & Chen, Y. (2023). Critical slip line recognition and extraction method of slope based on modified k-medoid clustering algorithm. Computers and Geotechnics, 154, 105125.
Dinata, R. K., Bustami., Retno, S., & Daulay, A, P, B. 2022. Clustering the Spread of ISPA Disease Using the Fuzzy C-Means Algorithm in Aceh Utara. IJISIT: International Journal of Information System and Innovative Technology Vol 1, No 2, pp 21-30.
Hasdyna, N., Retno, S. 2022. Machine Learning Approach to Determine the Drug-Prone Areas in Lhokseumawe City, Indonesia. IJMIRA: International Journal of Multidiciplinary Research and Analysis, Vol 5, No 9, pp. 2354-2454.
Hasdyna, N., Retno, S. 2022. Purity Algorithm in Determining System of The Productivity of Rice Harvesting Areas in Kabupaten Aceh Utara. JITE: Journal of Informatics and Telecommunication Engineering, Vol 5, No 2, pp. 259-267.
Bijalwan, A., Purohit, K. C., Malik, P., & Mittal, M. (2022). A Self-Adaptable Angular Based K-Medoid Clustering Scheme (SAACS) for Dynamic VANETs. Electronics, 11(19), 3071.
Retno, S., Hasdyna, N. 2022. Profile Matching in Government Scholarship Acceptance System for Student in Aceh Utara. Journal of Informatics and Telecommunication Engineering, Vol 5, No 2. pp.268-275.
Solichin, Achmad, 2016. Pemograman Web dengan PHP dan MySQL. Jakarta : Universitas Budi Luhur.
Dinata, R. K., Retno, S., & Hasdyna, N. (2021). Minimization of the number of iterations in K-medoids clustering with purity algorithm. Revue d'Intelligence Artificielle, 35(3), 193-199.
Ibsanti, M., Hasdyna, N., Vikki, Z., & Fajri, T. I. (2021). Analisis Sistem Penentuan Kelayakan Penerimaan Bantuan Operasional Sekolah (BOS) Menggunakan Metode Simple Additive Weighting.
Anwar, S., Rohmat, C. L., Basysyar, F. M., & Wijaya, Y. A. (2021, February). Clustering of internet network usage using the K-Medoid method. In IOP Conference Series: Materials Science and Engineering (Vol. 1088, No. 1, p. 012036). IOP Publishing.
Retno, S., Hasdyna, N., Mutasar, M., & Dinata, R. K. (2020). Algoritma Honey Encryption dalam Sistem Pendataan Sertifikat Tanah dan Bangunan di Universitas Malikussaleh. INFORMAL: Informatics Journal, 5(3), 87-95.
Hasdyna, N., & Dinata, R. K. (2020). Analisis Matthew Correlation Coefficient pada K-Nearest Neighbor dalam Klasifikasi Ikan Hias. INFORMAL: Informatics Journal, 5(2), 57-64.
Mohit, Kumari, A. C., & Sharma, M. (2019). A novel approach to text clustering using shift k-medoid. International Journal of Social Computing and Cyber-Physical Systems, 2(2), 106-118.
Dinata, R. K., Novriando, H., Hasdyna, N., & Retno, S. (2020). Reduksi atribut menggunakan information gain untuk optimasi cluster algoritma k-means. J. Edukasi dan Penelit. Inform, 6(1), 48-53.
Dinata, R. K., Safwandi, S., Hasdyna, N., & Mahendra, R. (2020). Kombinasi Algoritma Brute Force dan Stemming pada Sistem Pencarian Mashdar. CESS (Journal of Computer Engineering, System and Science), 5(2), 273-278.
Dinata, R. K., Akbar, H., & Hasdyna, N. (2020). Algoritma K-Nearest Neighbor dengan Euclidean Distance dan Manhattan Distance untuk Klasifikasi Transportasi Bus. ILKOM Jurnal Ilmiah, 12(2), 104-111.
Dinata, R. K., Safwandi, S., Hasdyna, N., & Azizah, N. (2020). Analisis K-Means Clustering pada Data Sepeda Motor. INFORMAL: Informatics Journal, 5(1), 10-17.
Dinata, R. K., Fajriana, F., Zulfa, Z., & Hasdyna, N. (2020). Klasifikasi Sekolah Menengah Pertama/Sederajat Wilayah Bireuen Menggunakan Algoritma K-Nearest Neighbors Berbasis Web. CESS (Journal of Computer Engineering, System and Science), 5(1), 33-37.
Dinata, R. K., Hasdyna, N., Retno, S., & Nurfahmi, M. (2021). K-means algorithm for clustering system of plant seeds specialization areas in east Aceh. ILKOM Jurnal Ilmiah, 13(3), 235-243.
Dinata, R. K., Hasdyna, N., & Alif, M. (2021). Applied of Information Gain Algorithm for Culinary Recommendation System in Lhokseumawe. Journal Of Informatics And Telecommunication Engineering, 5(1), 45-52.
Chikodili, N. B., Abdulmalik, M. D., Abisoye, O. A., & Bashir, S. A. (2021). Outlier Detection in Multivariate Time Series Data Using a Fusion of K-Medoid, Standardized Euclidean Distance and Z-Score. In Information and Communication Technology and Applications: Third International Conference, ICTA 2020, Minna, Nigeria, November 24–27, 2020, Revised Selected Papers 3 (pp. 259-271). Springer International Publishing.
