KEY PERFORMANCE INDICATOR TOWER 4G L1800 PADA JARINGAN TELKOMSEL KOTA SEMARANG MENGGUNAKAN DECISION TREE C4.5

Annisa Sulistyaningsih; Eko Hari Rachmawanto; Christy Atika Sari; Florentina Esti Nilawati

doi:10.24176/simet.v13i1.6757

KEY PERFORMANCE INDICATOR TOWER 4G L1800 PADA JARINGAN TELKOMSEL KOTA SEMARANG MENGGUNAKAN DECISION TREE C4.5

Annisa Sulistyaningsih
Eko Hari Rachmawanto - [ http://orcid.org/0000-0001-6014-1903 ]
Christy Atika Sari - [ https://orcid.org/0000-0002-7296-5210 ]
Florentina Esti Nilawati

Abstract

Key Performance Indicator (KPI) digunakan untuk menentukan pengukuran yang objektif, melihat tren, dan mendukung pengambilan keputusan. KPI membutuhkan perencanaan yang matang, sehingga harus didukung oleh ketersediaan data dan informasi yang akurat serta konsisten. PT. Telekomunikasi Selular (Telkomsel) merupakan salah satu perusahaan dalam bidang telekomunikasi yang menggunakan KPI untuk menilai performa tower saat momen Natal dan Tahun Baru (NARU). KPI tersebut nantinya akan menjadi bahan evaluasi kedepannya. Oleh karenanya, dibutuhkan pohon keputusan untuk membantu menampilkan site yang mengalami gangguan berupa redsite saat momen tersebut berlangsung. Dalam penelitian ini, Decision Tree diimplementasikan menggunakan algoritma C4.5. C4.5 dinilai mudah diterapkan dan cocok digunakan utnuk pengolahan data sederhana. Hasilnya olah data menunjukkan akurasi optimal yaitu 100%.

Keywords

key performance indicator, decision tree, C4.5, jaringan, redsite

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Referensi

S. Sathyadevan and R. R. Nair, “Computational Intelligence in Data Mining - Volume 1: Proceedings of the International Conference on CIDM, 20-21 December 2014,” Smart Innov. Syst. Technol., vol. 31, pp. 549–562, 2015.

W. Jia and L. J. Huang, “Improved C4.5 decision tree,” Int. Conf. Internet Technol. Appl. ITAP 2010 - Proc., vol. 3, no. 3, pp. 341–345, 2010.

S. Wahyuni, “Implementation of Data Mining to Analyze Drug Cases Using C4.5 Decision Tree,” J. Phys. Conf. Ser., vol. 970, no. 1, 2018.

H. Chauhan and A. Chauhan, “Implementation of decision tree algorithm c4. 5,” Int. J. Sci. Res. Publ., vol. 3, no. 10, pp. 4–6, 2013.

Y. T. Samuel, J. J. Hutapea, and B. Jonathan, “Predicting the timeliness of student graduation using decision tree c4.5 algorithm in universitas advent Indonesia,” Proc. 2019 Int. Conf. Inf. Commun. Technol. Syst. ICTS 2019, pp. 276–280, 2019.

W. Dai and W. Ji, “A mapreduce implementation of C4.5 decision tree algorithm,” Int. J. Database Theory Appl., vol. 7, no. 1, pp. 49–60, 2014.

R. Revathy and R. Lawrance, “Comparative Analysis of C4.5 and C5.0 Algorithms on Crop Pest Data,” Int. J. Innov. Res. Comput. Commun. Eng., vol. 5, no. 1, pp. 50–58, 2017.

R. K. Amin, Indwiarti, and Y. Sibaroni, “Implementation of decision tree using C4.5 algorithm in decision making of loan application by debtor (Case study: Bank pasar of Yogyakarta Special Region),” in 2015 3rd International Conference on Information and Communication Technology, ICoICT 2015, 2015, vol. 0, pp. 75–80.

X. Zhu, J. Wang, H. Yan, and S. Wu, “Research and application of the improved algorithm C4.5 on decision tree,” in Proceedings of the International Symposium on Test and Measurement, 2009, vol. 2, pp. 184–187.

R. Rismayanti, “Implementasi Algoritma C4.5 Untuk Menentukan Penerima Beasiswa Di Stt Harapan Medan,” J. Media Infotama, vol. 12, no. 2, pp. 116–120, 2017.

B. HSSINA, A. MERBOUHA, H. EZZIKOURI, and M. ERRITALI, “A comparative study of decision tree ID3 and C4.5,” Int. J. Adv. Comput. Sci. Appl., vol. 4, no. 2, 2014.

Y. Zheng, L. Peng, L. Lei, and Y. Junjie, “R-C4.5 decision tree model and its applications to health care dataset,” in 2005 International Conference on Services Systems and Services Management, Proceedings of ICSSSM’05, 2005, vol. 2, pp. 1099–1103.

DOI: https://doi.org/10.24176/simet.v13i1.6757