Klasifikasi Efektivitas Iklan di E-Commerce dan Media Sosial terhadap Minat Beli Mahasiswa UMS dengan Decision Tree
DOI:
https://doi.org/10.52436/1.jpti.727Kata Kunci:
decision tree, e-commerce, efektivitas iklan, media sosial, minat beliAbstrak
E-commerce dan media sosial memiliki perbedaan dalam mempengaruhi minat beli, di mana e-commerce berfokus pada personalisasi dan transaksi langsung, sementara media sosial menekankan interaksi sosial dan konten kreatif. Penelitian ini bertujuan untuk menganalisis dan membandingkan efektivitas iklan di kedua platform terhadap minat beli mahasiswa S1 Universitas Muhammadiyah Surakarta (UMS). Metode yang digunakan adalah survei dengan kuesioner berbasis skala Likert, yang didistribusikan secara daring kepada mahasiswa S1 UMS. Variabel yang diukur meliputi minat beli (variabel dependen) serta lima variabel independen: responsiveness, informativeness, visibility, meta voicing, dan guidance shopping. Model ini di uji menggunakan dataset 396 responden dengan validasi 80:20 untuk data training dan testing. Data dianalisis menggunakan algoritma Decision Tree untuk mengidentifikasi variabel yang paling berpengaruh terhadap minat beli pada masing-masing platform. Hasil penelitian menunjukkan bahwa media sosial memiliki akurasi model yang lebih tinggi dibandingkan e-commerce dalam memprediksi minat beli mahasiswa. Selain itu, Guidance Shopping (X5) merupakan variabel paling berpengaruh dalam iklan media sosial, sedangkan Meta Voicing (X4) lebih dominan dalam e-commerce. Temuan ini memberikan wawasan bagi pelaku bisnis dalam menentukan strategi pemasaran digital yang lebih efektif, dengan mempertimbangkan karakteristik unik dari masing-masing platform. Dengan memahami faktor yang paling berpengaruh terhadap minat beli, perusahaan dapat mengoptimalkan strategi iklan mereka untuk meningkatkan efektivitas pemasaran di e-commerce maupun media sosial.
Unduhan
Referensi
R. H. Demolingo, R. A. Putri, and K. Digdowiseiso, “Analisis Efektivitas Iklan Digital Terhadap Minat Pembelian Tiket Masuk Pada Kalangan Generasi Y Dan Z Di Desa Penglipuran Bangli, Bali,” Syntax Literate: Jurnal Ilmiah Indonesia, vol. 7, no. 3, 2022, doi: DOI: https://doi.org/10.36418/syntax-literate.v7i3.6558.
A. Zaures, B. Elmira, M. Belgozhakyzy, A. Ainur, and T. Nazym, “The development of e-commerce infrastructure in modern conditions,” in E3S Web of Conferences, EDP Sciences, Mar. 2020. doi: https://doi.org/10.1051/e3sconf/202015904028.
L. W. Evelina, F. Handayani, and S. Audreyla, “The Effect of Social Media Marketing on Brand Trust and Customer Loyalty of S Coffee Shop in Indonesia during Pandemic,” in E3S Web of Conferences, EDP Sciences, Sep. 2023. doi: 10.1051/e3sconf/202342602098.
A. Rosário and R. Raimundo, “Consumer marketing strategy and e-commerce in the last decade: A literature review,” Dec. 01, 2021, MDPI. doi: https://doi.org/10.3390/jtaer16070164.
W. Li and Z. Xia, “Big Data-Driven Personalization in E-Commerce: Algorithms, Privacy Concerns, and Consumer Behavior Implications,” International Journal of Applied Machine Learning and Computational Intelligence, vol. 12, no. 4, 2022.
Y. Cai and Z. Jiang, “The Effectiveness of Amazon Headphone Video Advertising Based on Time Series Analysis,” in Symposium on Creative Technology and Digital Media, AHFE International, 2022. doi: 10.54941/ahfe1001435.
Waseem, M. U. Abbasi, and F. Hamid, “Impact of Digital Marketing Strategies on Marketing Performance: Role of Social Media Performance and E-commerce,” International Journal of Management Research and Emerging Sciences, vol. 14, no. 3, Oct. 2024, doi: 10.56536/ijmres.v14i3.656.
T. Prihatiningsih, R. Panudju, and I. J. Prasetyo, “Digital Advertising Trends and Effectiveness in the Modern Era: A Systematic Literature Review,” Golden Ratio of Marketing and Applied Psychology of Business , vol. 5, no. 1, 2025, doi: 10.52970/grmapb.v5i1.505.
H. H. Pradani and M. Muthohar, “The Influence of Social Media Marketing on Purchase Intention and Brand Loyalty (Study on the Batik Fashion Customer in Pekalongan),” Budapest International Research and Critics Institute-Journal (BIRCI-Journal) , vol. 5, no. 3, 2022, doi: 10.33258/birci.v5i3.6190.
D. Festyan, A. Viona, R. Simon, and A. M. Sundjaja, “Descriptive Analysis of Impulsive Purchase Intention on Live-Streaming Commerce in Indonesia,” in E3S Web of Conferences, EDP Sciences, Sep. 2023. doi: 10.1051/e3sconf/202342601002.
A. Ulfah and N. Huda, “Analisis Kuantitatif dalam Riset Kebijakan: Pendekatan, Karakteristik, dan Pembahasan Hasil,” Jurnal Studi Multidisipliner, vol. 8, no. 6, 2024.
D. B. Stiawan and Y. S. Nugroho, “Perbandingan Performa Algoritma Decision Tree,” Indonesian Journal of Computer Science Attribution, vol. 12, no. 4, 2023.
H. Imaduddin, B. Aditya Hermansyah, and F. B. Aura Salsabilla, “Arison Of Support Vector Machine and Decision Tree Methods In The Classification Of Breast Cancer,” Jurnal Pendidikan Teknologi Informasi, vol. 5, no. 1, pp. 22–30, 2021, doi: http://dx.doi.org/10.22373/cj.v5i1.8805.
A. I. Fairuzsyifa and Y. S. Nugroho, “Analisis Regresi Linier Berganda Pengaruh Minat Calon Mahasiswa Di Universitas Muhammadiyah Surakarta Menggunakan Python,” JIP (Jurnal Informatika Polinema) , vol. 10, no. 2, 2024, doi: https://doi.org/10.33795/jip.v10i2.5014.
N. Wulandari and D. Wahyudi, “Pengaruh Pengetahuan Perpajakan, Sanksi Pajak, Kesadaran Wajib Pajak, dan Kualitas Pelayanan Pajak terhadap Kepatuhan Wajib Pajak dalam Membayar Pajak Bumi dan Bangunan di Desa Mranggen Kabupaten Demak,” Jurnal Pendidikan Tambusai, vol. 6, no. 2, 2022, [Online]. Available: https://radarsemarang.jawapos.com/berita/jateng/demak/2019/11/15/ini-kecamatan-di-
A. Santoso, “Rumus Slovin: Panacea Masalah Ukuran Sampel,” Suksma:Jurnal Psikologi Universitas Sanata Dharma, vol. 4, no. 2, pp. 24–43, 2023, doi: https://doi.org/10.24071/suksma.v4i2.6434.
A. M. Adam, “Sample Size Determination in Survey Research,” J Sci Res Rep, pp. 90–97, Jun. 2020, doi: 10.9734/jsrr/2020/v26i530263.
O. McGrath and K. Burke, “Binomial Confidence Intervals for Rare Events: Importance of Defining Margin of Error Relative to Magnitude of Proportion,” Am Stat, vol. 78, no. 4, pp. 437–449, 2024, doi: 10.1080/00031305.2024.2350445.
D. Ariyanto and D. A. Nuswantara, “Pengaruh Persepsi Tarif Pajak terhadap Kepatuhan Wajib Pajak UMKM,” AKUNESA: Jurnal Akuntansi Unesa , vol. 8, no. 3, 2020, [Online]. Available: http://jurnalmahasiswa.unesa.ac.id/index.php/jurnal-akuntansi/AKUNESA:JurnalAkuntansiUnesa
R. D. Parashakti and Putriawati, “Pengaruh Keselamatan dan Kesehatan Kerja (K3), Lingkungan Kerja, dan Beban Kerja terhadap Kinerja Karyawan,” Jurnal Ilmu Manajemen Terapan, vol. 1, no. 3, 2020, doi: 10.31933/JIMT.
Z. Jin, “Principle, Methodology and Application for Data Cleaning techniques,” BCP Business & Management FIBA, vol. 2022, 2022.
F. Z. Sifi, W. Sabbar, and A. El Mzabi, “Application of Latent Dirichlet Allocation (LDA) for clustering financial tweets,” in E3S Web of Conferences, EDP Sciences, Sep. 2021. doi: 10.1051/e3sconf/202129701071.
V. R. Joseph, “Optimal Ratio for Data Splitting,” arXiv, Feb. 2022, doi: 10.1002/sam.11583.
D. M. W. Powers, “Evaluation: From Precision, Recall And F-measure To ROC, Informedness, Markedness & Correlation,” arXiv, 2020.
G. Devisetty and N. S. Kumar, “Prediction of Bradycardia using Decision Tree Algorithm and Comparing the Accuracy with Support Vector Machine,” in E3S Web of Conferences, EDP Sciences, Jul. 2023. doi: 10.1051/e3sconf/202339909004.
B. Talekar and S. Agrawal, “A Detailed Review on Decision Tree and Random Forest,” Biosci Biotechnol Res Commun, vol. 13, no. 14, pp. 245–248, Dec. 2020, doi: 10.21786/bbrc/13.14/57.