Algoritma K-Means untuk Pengelompokkan Dokumen Akta Kelahiran pada Tiap Kecamatan di Kabupaten Simalungun
-
Flora Sabarina Napitupulu
*
STIKOM Tunas Bangsa, Pematangsiantar,
Indonesia
- Irfan Sudahri Damanik STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
- Ilham Syahputra Saragih STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
- Anjar Wanto STIKOM Tunas Bangsa, Pematangsiantar, Indonesia http://orcid.org/0000-0003-4891-084X (*) Corresponding Author
Abstract
A birth certificate is a document that must be owned by a citizen. This document contains information about the birth of a person and is an official record of proof of state recognition of the person's existence. The purpose of this study is to group birth certificate documents in each district in Simalungun Regency. The research data was obtained from the Population and Civil Registry Office of Simalungun Regency. The grouping algorithm used is the K-means algorithm which is one of the Data Mining algorithms that is good for the case of grouping. By using this algorithm the data that has been obtained can be grouped into several clusters, where the application of the K-Means Clustering process uses the RapidMiner tool. Data is divided into 3 groups: high (C1), medium (C2) and low (C3). The results obtained from this study are in December entered into a high level cluster (C1), in August, September and October entered into a medium cluster (C2), and in January, February, March, April, May, June, July and November entered into the low cluster (C3).
Downloads
References
S. Liem, K. Gunadi, and A. N. Tjondrowiguno, “Penggunaan Convolutional Recurrent Neural Network dan RLSA untuk Mengambil Data pada Akta Kelahiran,” Jurnal Infra Petra, vol. 7, no. 1, pp. 8–14, 2019.
A. M. M. Anwar, P. Harsani, and A. Maesya, “Penentuan Daerah Prioritas Pelayanan Akta Kelahiran Dengan Metode K-NN dan K-Means,” Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika, vol. 17, no. 1, pp. 319–328, 2020.
P. P. P. A. N. . F. I. R.H Zer, Masitha, A. P. Windarto, and A. Wanto, “Analysis of the ELECTRE Method on the Selection of Student Creativity Program Proposals,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–7, 2019.
A. P. W. Budiharjo and A. Muhammad, “Comparison of Weighted Sum Model and Multi Attribute Decision Making Weighted Product Methods in Selecting the Best Elementary School in Indonesia,” International Journal of Software Engineering and Its Applications, vol. 11, no. 4, pp. 69–90, 2017.
D. R. Sari, N. Rofiqo, D. Hartama, A. P. Windarto, and A. Wanto, “Analysis of the Factors Causing Lazy Students to Study Using the ELECTRE II Algorithm,” Journal of Physics: Conference Series, vol. 1255, no. 012007, pp. 1–6, 2019.
K. Fatmawati et al., “Analysis of Promothee II Method in the Selection of the Best Formula for Infants Under Three Years,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–7, 2019.
P. Alkhairi, L. P. Purba, A. Eryzha, A. P. Windarto, and A. Wanto, “The Analysis of the ELECTREE II Algorithm in Determining the Doubts of the Community Doing Business Online,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–7, 2019.
S. Sundari, Karmila, M. N. Fadli, D. Hartama, A. P. Windarto, and A. Wanto, “Decision Support System on Selection of Lecturer Research Grant Proposals using Preferences Selection Index,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–7, 2019.
S. R. Ningsih, R. Wulansari, D. Hartama, A. P. Windarto, and A. Wanto, “Analysis of PROMETHEE II Method on Selection of Lecturer Community Service Grant Proposals,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–7, 2019.
T. Imandasari, M. G. Sadewo, A. P. Windarto, A. Wanto, H. O. Lingga Wijaya, and R. Kurniawan, “Analysis of the Selection Factor of Online Transportation in the VIKOR Method in Pematangsiantar City,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–7, 2019.
E. Siregar, H. Mawengkang, E. B. Nababan, and A. Wanto, “Analysis of Backpropagation Method with Sigmoid Bipolar and Linear Function in Prediction of Population Growth,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
G. W. Bhawika et al., “Implementation of ANN for Predicting the Percentage of Illiteracy in Indonesia by Age Group,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
W. Saputra, J. T. Hardinata, and A. Wanto, “Resilient method in determining the best architectural model for predicting open unemployment in Indonesia,” IOP Conference Series: Materials Science and Engineering, vol. 725, no. 1, pp. 1–7, 2020.
A. Wanto and J. T. Hardinata, “Estimations of Indonesian poor people as poverty reduction efforts facing industrial revolution 4 . 0,” IOP Conference Series: Materials Science and Engineering, vol. 725, no. 1, pp. 1–8, 2020.
A. Wanto et al., “Model of Artificial Neural Networks in Predictions of Corn Productivity in an Effort to Overcome Imports in Indonesia,” Journal of Physics: Conference Series, vol. 1339, no. 1, pp. 1–6, 2019.
A. Wanto et al., “Analysis of the Accuracy Batch Training Method in Viewing Indonesian Fisheries Cultivation Company Development,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
I. S. Purba et al., “Accuracy Level of Backpropagation Algorithm to Predict Livestock Population of Simalungun Regency in Indonesia Accuracy Level of Backpropagation Algorithm to Predict Livestock Population of Simalungun Regency in Indonesia,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
P. Parulian et al., “Analysis of Sequential Order Incremental Methods in Predicting the Number of Victims Affected by Disasters,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
A. Wanto et al., “Analysis of the Backpropagation Algorithm in Viewing Import Value Development Levels Based on Main Country of Origin,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
S. Setti, A. Wanto, M. Syafiq, A. Andriano, and B. K. Sihotang, “Analysis of Backpropagation Algorithms in Predicting World Internet Users,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
T. Afriliansyah et al., “Implementation of Bayesian Regulation Algorithm for Estimation of Production Index Level Micro and Small Industry,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
A. Wanto et al., “Forecasting the Export and Import Volume of Crude Oil , Oil Products and Gas Using ANN,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
M. K. Z. Sormin, P. Sihombing, A. Amalia, A. Wanto, D. Hartama, and D. M. Chan, “Predictions of World Population Life Expectancy Using Cyclical Order Weight / Bias,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.
R. Rahim et al., “C4.5 Classification Data Mining for Inventory Control,” International Journal of Engineering & Technology, vol. 7, pp. 68–72, 2018.
I. Parlina et al., “Naive Bayes Algorithm Analysis to Determine the Percentage Level of visitors the Most Dominant Zoo Visit by Age Category,” Journal of Physics: Conference Series, vol. 1255, no. 1, 2019.
I. S. Damanik, A. P. Windarto, A. Wanto, Poningsih, S. R. Andani, and W. Saputra, “Decision Tree Optimization in C4.5 Algorithm Using Genetic Algorithm,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–7, 2019.
H. Siahaan, H. Mawengkang, S. Efendi, A. Wanto, and A. Perdana Windarto, “Application of Classification Method C4.5 on Selection of Exemplary Teachers,” Journal of Physics: Conference Series, vol. 1235, no. 1, 2019.
D. Hartama, A. Perdana Windarto, and A. Wanto, “The Application of Data Mining in Determining Patterns of Interest of High School Graduates,” Journal of Physics: Conference Series, vol. 1339, no. 1, pp. 1–6, 2019.
M. Widyastuti, A. G. Fepdiani Simanjuntak, D. Hartama, A. P. Windarto, and A. Wanto, “Classification Model C.45 on Determining the Quality of Custumer Service in Bank BTN Pematangsiantar Branch,” Journal of Physics: Conference Series, vol. 1255, no. 012002, pp. 1–6, 2019.
W. Katrina, H. J. Damanik, F. Parhusip, D. Hartama, A. P. Windarto, and A. Wanto, “C.45 Classification Rules Model for Determining Students Level of Understanding of the Subject,” Journal of Physics: Conference Series, vol. 1255, no. 012005, pp. 1–7, 2019.
S. 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 Conference Series: Materials Science and Engineering, vol. 420, no. 012089, pp. 1–8, 2018.
Z. S. Younus et al., “Content-based image retrieval using PSO and k-means clustering algorithm,” Arabian Journal of Geosciences, vol. 8, no. 8, pp. 6211–6224, 2015.
A. Wanto et al., Data Mining : Algoritma dan Implementasi. Yayasan Kita Menulis, 2020.
E. Prasetyo, Data Mining: Konsep dan Aplikasi menggunakan Matlab. Yogyakarta: Andi Offset, 2012.
D. T. Larose, Discovering Knowledge in Data: An Introduction to Data Mining: Second Edition. New Jersey: John Wiley & Sons, 2005.
R. Primartha, Belajar Machine Learning Teori dan Praktik. Bandung: Informatika Bandung, 2018.
T. Khotimah, “Pengelompokan Surat dalam Al Qur’an menggunakan Algortima K-Means,” Jurnal Simetris, vol. 5, no. 1, pp. 83–88, 2014.
I. Parlina, A. P. Windarto, A. Wanto, and M. R. Lubis, “Memanfaatkan Algoritma K-Means dalam Menentukan Pegawai yang Layak Mengikuti Asessment Center untuk Clustering Program SDP,” CESS (Journal of Computer Engineering System and Science), vol. 3, no. 1, pp. 87–93, 2018.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Algoritma K-Means untuk Pengelompokkan Dokumen Akta Kelahiran pada Tiap Kecamatan di Kabupaten Simalungun
Pages: 55-63
Copyright (c) 2020 Flora Sabarina Napitupulu, Irfan Sudahri Damanik, Ilham Syahputra Saragih, Anjar Wanto
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
