PREDIKSI STATUS PESANAN MENGGUNAKAN METODE CLASSIFICATION C.45 PADA TOKO STUFTECH.ID

PREDIKSI STATUS PESANAN MENGGUNAKAN METODE CLASSIFICATION C.45 PADA TOKO STUFTECH.ID

• By Arief Firdaus, Muhamad; Rahman Latarissa, Fadli; Dzaky Pradana, Yanuar; Murtina, Hidayanti;
• Jurnal Nasional Terakreditasi
• 74
• 336-344

The increase in transactions on e-commerce platforms such as Shopeenecessitates the development of accurate order status predictionsystemstooptimizeservicesandreduceordercancellationsanddelays.This study aims to build a classification model for predicting orderstatus (completed or canceled) at StufTech.Id store using the C4.5algorithm. The dataset consists of transaction attributes such aspayment method, shipping location category, and shipping cost. Theclassification process was conducted using RapidMiner throughpreprocessing, decision tree generation, and model evaluation stages.The analysis shows that the “Shipping Region Category” attribute hasthe highest information gain and was selected as the root node. Theresulting model achieved an accuracy of 86%, with 100% recall forcompleted orders but only 6.67% for canceled ones. These findingsindicate that the C4.5 algorithm is effective in predicting successfultransactions but requires improvement in identifying potentialcancellations.Implementingthismodelcanhelpbusinessownersmakeproactive operational decisions.

• Katakunci C4.5 algorithm, classification, Shopee, order prediction, e-commerce
• URL https://journal.stekom.ac.id/index.php/elkom/article/view/2694
• Penerbit ELKOM (JURNAL ELEKTRONIKA DAN KOMPUTER),

REFERENSI

[1]Aditya Nugroho, C. R., & Kristiana, T. (2022). Penerapan Algoritma C4.5 Untuk Kepuasan Pelanggan TokoOnline Parfume Chantik. Jurnal Algoritme, 3(1), 10–21. https://doi.org/10.35957/algoritme.v3i1.3169
[2]Ahdiat,A.(2023).IniKendalaUsahaE-CommercediIndonesiamenurutSurveiBPS.Databoks.
[3]Apriyadi, A., Lubis, M. R., & Damanik, B. E. (2022). Penerapan Algoritma C5.0 Dalam Menentukan TingkatPemahamanMahasiswaTerhadapPembelajaranDaring.Komputa:JurnalIlmiahKomputerDanInformatika,11(1), 11–20. https://doi.org/10.34010/komputa.v11i1.7386
[4]Arhami,M.,&Nasir,M.(2020).DataMining-AlgoritmadanImplementasi.CVAndiOffset.
[5]Dutalia, S., Lalo, A. K., Batarius, P., Carmeneja, Y., & Siki, H. (2021). Implementasi Algoritma C4 . 5 UntukKlasifikasi Penjualan. 06, 1–12.
[6]Jatmika,D.,&Taufi,G.(2021).PenerapanAlgoritmaC4.5UntukKlasifikasiKeberhasilanPengirimanBarang.8(1),36–43.
[7]Muktar, R., Syam, M., Kunda, A., & Natsir, M. (2023). Analisis Penerapan Data Mining dalam KlasifikasiPenjualan Pakaian Pada Toko Online Shopee Menggunakan Algoritma C4.5. Jurnal Dipanegara KomputerSistem Informasi, XVII(1), 1–8.
[8]Novrianto, & Elisa, E. (2024). ANALISIS KLASIFIKASI ALGORITMA C.45 DALAM MEMPREDIKSI TINGKATPENJUALAN PERLENGKAPAN IBADAH. Comasie, 6(2), 107–118.
[9]Nurhayati-Wolff,H.(2025).Situse-commerceterbesardiIndonesiapadatahun2024,berdasarkanlalulintasbulanan.Statista.
[10]Santoso,N.A.,Redaputri,A.P.,&Rizkyna,S.(2024).JURNALCEMERLANG:PengabdianpadaMasyarakatPEMANFAATANE-COMMERCESHOPEESEBAGAISTRATEGIJURNALCEMERLANG:PengabdianpadaMasyarakat.7(1),98–110.
[11]Steffany, A., Aldzikri, K. A., Tricahya, M. A. R., & Arfiandono, M. I. (2023). Penerapan Algoritma C4.5 UntukMenganalisis Kepuasan E-Commerce Shopee. Jurnal Nasional Komputasi Dan Teknologi Informasi (JNKTI),6(6), 700–706. https://doi.org/10.32672/jnkti.v6i6.7112
[12]Suripto, Nurul Rahmanita, R., Kirana, A. S., & 2022. (2022). Teknik pre-processing dan classification dalamdata science. Student Corner.
[13]Wibawa, A. P., Guntur, M., Purnama, A., Fathony Akbar, M., & Dwiyanto, F. A. (2018). Metode-metodeKlasifikasi. Prosiding Seminar Ilmu Komputer Dan Teknologi Informasi, 3(1), 134–138.