Analisa Decision Tree untuk Kepuasan Penggunaan Sinyal dari Base Transceiver Station (BTS)
DOI:
https://doi.org/10.26418/justin.v9i2.43425Keywords:
Data Mining, Decision Tree, BTSAbstract
Kepuasan konsumen merupakan salah satu tujuan perusahaan dalam memberikan pelayanan kepada konsumen baik perusahaan jasa maupun non jasa. Salah satu perusahaan penyedia layanan akses data internet yang berkomitmen untuk meningkatkan kualitas produk, fasilitas dan kualitas layanan demi kepuasan pelanggan. Penelitian ini bertujuan untuk menganalisis kepuasan konsumen dengan menggunakan metode algoritma data mining process metode C4.5 dan mengukur tingkat kepuasan konsumen dari hasil pohon keputusan yang diperoleh. Variabel penilaian meliputi kualitas produk, fasilitas, pelayanan dan harga dengan hasil keputusan puas atau tidak puas. Hasil pengolahan metode data mining menggunakan algoritma C4.5 mampu mengklasifikasikan tingkat kepuasan konsumen. Terbukti dengan tingkat akurasi 84.66%, recall mendapatkan 0.828, precision memperoleh 0.828, dan ROC mendapat nilai 0.825. Hasil penelitian ini dapat dijadikan acuan untuk meningkatkan kepuasan konsumen dan menjaga loyalitas konsumen dalam menggunakan produk paket data layanan internet dan meningkatkan penjualan.
References
E. V. Pogorelova, I. V. Yakhneeva, A. N. Agafonova, and A. O. Prokubovskaya, “Marketing mix for e-commerce,†Int. J. Environ. Sci. Educ., vol. 11, no. 14, pp. 6744–6759, 2016.
M. Ibrani, E. Hamiti, L. Ahma, R. Halili, and J. Dobruna, “In-situ experimental evaluation of LTE downlink signal levels in vicinity of base transceiver stations in urban area,†2017 IEEE Int. Black Sea Conf. Commun. Networking, BlackSeaCom 2017, vol. 2018-January, no. December 2009, pp. 1–5, 2018.
A. Musa and B. S. Paul, “Analysis of Solar and Fossil Fuel Powered Base Transceiver Stations,†IEEE AFRICON Conf., vol. 2019-September, 2019.
P. Nugroho, W. W. Winarno, and R. Hartanto, “Faktor-faktor yang mempengaruhi niat menggunakan mobile payment dengan pendekatan extended the unified theory of acceptance and use of technology,†CITEE Dep. Tek. Elektro dan Teknol. Informasi, FT UGM, pp. 226–233, 2017.
J. S. Ojo, P. A. Owolawi, and A. M. Atoye, “Designing a Green Power Delivery System for Base Transceiver Stations in Southwestern Nigeria,†SAIEE Africa Res. J., vol. 110, no. 1, pp. 19–25, 2019.
T. Ramunenyiwa, K. Awodele, and O. S. Omogoye, “Development of a cost-effective solar-wind-fuel cell independent power plant for a remote base transceiver station,†2020 Int. SAUPEC/RobMech/PRASA Conf. SAUPEC/RobMech/PRASA 2020, pp. 2–7, 2020.
W. W. Wibowo, Y. D. R. W. Astuti, and C. Hudaya, “Solar-Powered Base Transceiver Station,†Proc. - 2018 2nd Int. Conf. Green Energy Appl. ICGEA 2018, pp. 108–112, 2018.
S. K. Bhondge, D. B. Bhoyar, and S. Mohad, “Strategy for power consumption management at base transceiver station,†IEEE WCTFTR 2016 - Proc. 2016 World Conf. Futur. Trends Res. Innov. Soc. Welf., 2016.
Y. Y. Tefera, T. Kibatu, B. S. Shawel, and D. H. Woldegebreal, “Recurrent Neural Network-based Base Transceiver Station Power Supply System Failure Prediction,†Proc. Int. Jt. Conf. Neural Networks, 2020.
S. Takalapeta, “Penerapan Data Mining Untuk Menganalisis Kepuasan Konsumen Menggunakan,†J I M P - J. Inform. Merdeka Pasuruan, vol. 3, no. 3, pp. 34–38, 2018.
M. M. Nareswari and A. P. S. T, “Analisis Kepuasan Pemakai Layanan WIFI.ID Pada WIFI.ID Corner Di Kota Bandung,†e-Proceeding Manag., vol. 3, no. 2, pp. 1041–1046, 2016.
F. N. dkk Zahrah, “Pengaruh Kualitas Produk, Kualitas Pelayanan, Dan Harga Terhadap Kepuasan Pelanggan Dalam Meningkatkan Loyalitas Pelanggan Indihome Di Kota Bandung,†e-proceeding Manag., vol. 4, no. 3, pp. 2187–2194, 2017.
W. Insyroh and T. Setyowati, “Determinan Kualitas Pelayanan , Harga dan Produk Terhadap Kepuasan Pelanggan Telkomsel Flash Di Bondowoso,†Int. J. Soc. Sci. Bus., vol. 2, no. 3, pp. 132–140, 2018.
A. Rangga and A. Nalendra, “Pengaruh Kualitas Pelayanan Harga Kepuasan Pelanggan Terhadap Loyalitas Pelanggan (Studi Kasus Pelanggan Im3 Madiun),†JITK, vol. 3, no. 2, pp. 281–288, 2018.
S. Moha and S. Loindong, “The Analysis Of Service Quality On Customer Satisfaction And Facilities,†J. EMBA, vol. 4, no. 1, pp. 575–584, 2017.
B. C. Devi and A. Hoyyi, “Analisa faktor-faktor yang mempengaruhi keputusan pembelian dan kepuasan konsumen pada layanan internet speedy di kota semarang menggunakan partial least square (pls),†J. Gaussian, vol. 4, no. 3, pp. 485–495, 2015.
H. Santoso, I. P. Hariyadi, and Prayitno, “Data Mining Analisa Pola Pembelian Produk Dengan Menggunakan Metode Algoritma Apriori,†Tek. Inform., no. 1, pp. 19–24, 2016.
E. Elisa, “Market Basket Analysis Pada Mini Market Ayu Dengan Algoritma Apriori,†J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 2, no. 2, pp. 472–478, 2018.
S. Faisal, “Klasifikasi data minning menggunakan algoritma c4.5 terhadap kepuasan pelanggan sewa kamera cikarang,†Techno Xplore J. Ilmu Komput. dan Teknol. Inf., vol. 4, no. April, pp. 1–8, 2019.
U. Febriana, M. T. Furqon, and B. Rahayudi, “Klasifikasi Penyakit Typhoid Fever ( TF ) dan Dengue Haemorhagic Fever ( DHF ) dengan Menerapkan Algoritma Decision Tree C4 . 5 ( Studi Kasus : Rumah Sakit Wilujeng Kediri ),†J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2, no. 3, pp. 1275–1282, 2018.
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