Analisa Perbandingan Pengelompokkan Ekspor dan Impor di Indonesia Berdasarkan Bulan menggunakan K-Means

Boby Iskandar, S Saifullah, Eka Irawan, Irfan Sudahri Damanik, Ilham Syahputra Saragih

Abstract


Kegiatan ekspor dan impor tidak dapat dipisahkan dari suatu Negara, karena pada dasarnya tidak ada Negara yang dapat berdiri sendiri tanpa adanya kegiatan Ekspor dan Impor, khususnya Indonesia. Oleh karena itu penelitian ini bertujuan untuk mengelompokkan Ekspor dan Impor di Indonesia berdasarkan bulan, agar diketahui perbandingan tingkat ekspor dan impor, tinggi ataupun rendah. Algoritma pengelompokkan yang digunakan adalah data mining K-Means. Dengan menggunakan algoritma ini data akan dikelompokkan menjadi beberapa bagian, dimana proses dari implementasi data mining K-Means menggunakan RapidMiner. Data yang digunakan adalah data Ekspor dan Impor di Indonesia berdasarkan bulan Januari-Desember tahun 2018. Data bersumber dari Badan Pusat Statistik Indonesia. Pengelompokkan terbagi menjadi 2 klaster: Ekspor dan Impor klaster tinggi dan Ekspor dan Impor klasteri rendah. Hasil untuk Ekspor klaster tinggi terdiri dari 5 bulan, dan kategori rendah terdiri dari 7 bulan. Sedangkan hasil untuk Impor klaster tinggi terdiri dari 7 bulan, dan kategori rendah terdiri dari 5 bulan.

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References


Y. Andriani, H. Silitonga, and A. Wanto, “Analisis Jaringan Syaraf Tiruan untuk prediksi volume ekspor dan impor migas di Indonesia,” Register: Jurnal Ilmiah Teknologi Sistem Informasi, vol. 4, no. 1, pp. 30–40, 2018.

D. Fitri Febriyanti, “Effect of Export and Import of Gross Domestic Product in Indonesia 2008-2017,” Jurnal Ecoplan, vol. 2, no. 1, pp. 10–20, 2019.

J. R. Saragih, M. Billy, S. Saragih, and A. Wanto, “Analisis Algoritma Backpropagation Dalam Prediksi Nilai Ekspor (Juta USD),” Jurnal Pendidikan Teknologi dan Kejuruan, vol. 15, no. 2, pp. 254–264, 2018.

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. 1–6, Aug. 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. 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,” in Journal of Physics: Conference Series, 2019, vol. 1235, no. 1.

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, pp. 1–5, 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. A. Hanafiah, A. Wanto, and P. B. Indonesia, “Implementation of Data Mining Algorithms for Grouping Poverty Lines by District/City in North Sumatra,” International Journal of Information System & Technology, vol. 3, no. 2, pp. 315–322, 2020.

N. A. Febriyati, A. D. GS, and A. Wanto, “GRDP Growth Rate Clustering in Surabaya City uses the K- Means Algorithm,” International Journal of Information System & Technology, vol. 3, no. 2, pp. 276–283, 2020.

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. 1, pp. 1–8, 2018.

S. A. Abbas, A. Aslam, A. U. Rehman, W. A. Abbasi, S. Arif, and S. Z. H. Kazmi, “K-Means and K-Medoids: Cluster Analysis on Birth Data Collected in City Muzaffarabad, Kashmir,” IEEE Access, vol. 8, pp. 151847–151855, 2020.

S. Setti and A. Wanto, “Analysis of Backpropagation Algorithm in Predicting the Most Number of Internet Users in the World,” JOIN (Jurnal Online Informatika), vol. 3, no. 2, pp. 110–115, 2018.

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 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, J. Na’am, Yuhandri, A. P. Windarto, and Mesran, “Analisis Penurunan Gradien dengan Kombinasi Fungsi Aktivasi pada Algoritma JST untuk Pencarian Akurasi Terbaik,” Jurnal Media Informatika Budidarma, vol. 4, no. 2018, pp. 1197–1205, 2020.

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 Accuracy Batch Training Method in Viewing Indonesian Fisheries Cultivation Company Development,” 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.

W. Saputra, J. T. Hardinata, and A. Wanto, “Implementation of Resilient Methods to Predict Open Unemployment in Indonesia According to Higher Education Completed,” JITE (Journal of Informatics and Telecommunication Engineering), vol. 3, no. 1, pp. 163–174, 2019.

W. Saputra, P. Poningsih, M. R. Lubis, S. R. Andani, I. S. Damanik, and A. Wanto, “Analysis of Artificial Neural Network in Predicting the Fuel Consumption by Type of Power Plant,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–5, 2019.

N. L. W. S. R. Ginantra, T. Taufiqurrahman, G. W. Bhawika, I. B. A. I. Iswara, and A. Wanto, “Determination of the Shortest Route Towards the Tourist Destination Area Using the Ant Algorithma,” Journal of Physics: Conference Series, vol. 1339, no. 1, pp. 1–7, 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.

M. R. Lubis, W. Saputra, A. Wanto, S. R. Andani, and P. Poningsih, “Analysis of Artificial Neural Networks Method Backpropagation to Improve the Understanding Student in Algorithm and Programming,” 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.

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.

N. Nasution, G. W. Bhawika, A. Wanto, N. L. W. S. R. Ginantra, and T. Afriliansyah, “Smart City Recommendations Using the TOPSIS Method,” IOP Conference Series: Materials Science and Engineering, vol. 846, no. 1, pp. 1–6, 2020.

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. 1–6, Aug. 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, p. 012008, Aug. 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.

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, p. 012010, Aug. 2019.

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.

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.

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, p. 012011, Aug. 2019.

B. Supriyadi, A. P. Windarto, T. Soemartono, and Mungad, “Classification of Natural Disaster Prone Areas in Indonesia using K-Means,” International Journal of Grid and Distributed Computing, vol. 11, no. 8, pp. 87–98, 2018.

A. S. Ahmar, D. Napitupulu, R. Rahim, R. Hidayat, Y. Sonatha, and M. Azmi, “Using K-Means Clustering to Cluster Provinces in Indonesia,” Journal of Physics: Conference Series, vol. 1028, no. 1, pp. 1–6, 2018.

A. Wanto et al., Data Mining : Algoritma dan Implementasi. Yayasan Kita Menulis, 2020.




DOI: http://dx.doi.org/10.30645/senaris.v2i0.195

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