Pengembangan Model Pemilihan Jasa Pengiriman Barang pada E-Commerce
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Abstract
Since the Covid-19 pandemic, the online sales business has grown rapidly, especially through e-commerce applications. E-commerce has become popular because it offers a variety of products at different prices and is often cheaper than direct sales. Prices in e-commerce are affected not only by the price of the goods, but also by service charges, shipping costs and other fees. Well-managed shipping costs are important so that buyers, sellers and applications all benefit. The number of shipping services available in e-commerce requires analysis to determine the best shipping service. This research aims to compare the best shipping services as a reference for sellers and buyers. This research examines how the e-commerce system selects automated shipping services and analyses whether the selection is optimal based on the category of goods, size, shape and distance. The selection of delivery services is modelled with a neural network to describe different possibilities based on the given criteria. The results show that the optimal use of delivery services is determined by handling according to category, size, shape, distance and special conditions. E-commerce should further improve the benefits of delivery services through better website connectivity and digital services.
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References
A. Rahma and P. Untirta, “Strategi E-Commerce,” ResearchGate. [Online]. Available: https://www.researchgate.net/publication/346970177
A. Maulana, N. Rizki Arjun, F. Akbar, N. Ayu Suryanti, and H. Firmansyah, “Peran E-Commerce di Tengah Pandemi terhadap Gaya Hidup Masyarakat Indonesia Masa Kini,” Journal of Education and Technology, vol. 1, no. 1, pp. 55–61, 2021, [Online]. Available: http://jurnalilmiah.org/journal/index.php/jet
E. Turban, D. King, J. K. Lee, T.-P. Liang, and D. C. Turban, Electronic Commerce a Managerial and Social Networks Perspective Eighth Edition. 2015. [Online]. Available: http://www.springer.com/series/10099
I. C. Setyoparwati, “Pengaruh Dimensi Kepercayaan (Trust) Konsumen Terhadap Kepuasan Pelanggan pada E-Commerce di Indonesia,” Jurnal Ilmiah MEA (Manajemen, Ekonomi, & Akuntansi), vol. 3, no. 3, pp. 111–119, 2019.
A. P. Stmik, N. Mandiri, and S. Wasiyanti, “Pemilihan Jasa Pengiriman Barang Menggunakan Metode Simple Additive Weighting (SAW),” Sains dan Teknologi Informasi, vol. 6, no. 1, 2020, [Online]. Available: http://jurnal.sar.ac.id/index.php/satin
E. Japarianto, “Pengaruh Logistics Service Quality Terhadap Customer Retention dengan Customer Satisfaction Sebagai Variabel Intervening pada Industri Ekspedisi Laut di Surabaya,” Jurnal Manajemen Pemasaran, vol. 12, no. 1, pp. 25–32, 2018, doi: 10.9744/pemasaran.12.1.25─32.
S. Yahya, “Fuzzy Logic, Neural Network, Genetic Algorithm & Knowledge Based Expert System and Computational Intelligence,” Stationery Office, 2012. Accessed: Jun. 26, 2024. [Online]. Available: https://d1wqtxts1xzle7.cloudfront.net/33463176/Kendali_Cerdas-libre.pdf?1397456520=&response-content-disposition=inline%3B+filename%3DFuzzy_Logic_Neural_Network_Genetic_Algor.pdf&Expires=1719400323&Signature=O~GbQ4vKR-T4TR460d~Jh~HzdORxsxWudvpmfo4YLlaLYVvWzplD8AeR-F4S2vYErDI0BcztDOQ3nVal-Ai81-TUFyIlH8LDVQ8tRpVEwpzAsS8Nnp-FsixxdCyUWENcpbIlIyVmTKfiEM1SKGDufbzEFJ8F8Lh2ZojAIqezV~gFwMEWpsUOicI3fJ35omzQblmcN-YlEWhqTmCMyUDbxj64kpDS8BZUe5YCVesHe9PW5LdaWkudiM6xy7aJc3s893rzEO0N63vGScQGqM3cZbh18EJqdV5DkaHa1i2Q0SHphqaIZpbWwikI-sue58BFFw~8kEkB81WbaRXHpiTgTg__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
F. Yuniarta, I. Barokah, and G. A. Wulandari, “Pengaruh Kepercayaan dan Kualitas Pelayanan Terhadap Loyalitas Pelanggan Pengguna Jasa Pengiriman Paket pada PT. JNE Express Cabang Jember dengan Kepuasan sebagai Variabel Intervening,” e-Journal Ekonomi Bisnis dan Akuntansi, vol. 6, no. 1, pp. 152–158, 2019.
A. Caruana, “Service Loyalty: The Effects of Service Quality and The Mediating Role of Customer Satisfaction,” Eur J Mark, vol. 36, no. 7–8, pp. 811–828, Aug. 2002, doi: 10.1108/03090560210430818.
G. Fullerton and S. Taylor, “Mediating, Interactive, and Non-linear Effects in Service Quality and Satisfaction with Services Research,” Canadian Journal of Administrative Sciences, vol. 19, no. 2, pp. 124–136, 2002.
P. P. Sari, “Faktor yang Mempengaruhi Tingkat Kepercayaan Masyarakat Terhadap E-Commerce,” JURNAL KOMUNIKASI, MEDIA DAN INFORMATIKA, vol. 6, no. 3, 2017.
A. Pujianto, K. Kusrini, and A. Sunyoto, “Perancangan Sistem Pendukung Keputusan untuk Prediksi Penerima Beasiswa menggunakan Metode Neural Network Backpropagation,” Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 5, no. 2, pp. 157–162, May 2018, doi: 10.25126/jtiik.201852631.
Frieyadie, “Penerapan Metode AHP sebagai Pendukung Keputusan Penetapan Beasiswa,” Jurnal Pilar Nusa Mandiri, vol. 13, no. 1, 2017.
A. N. Sihananto and W. Firdaus Mahmudy, “Rainfall Forecasting using Backpropagation Neural Network,” Journal of Information Technology and Computer Science, vol. 2, no. 2, pp. 66–76, 2017, [Online]. Available: www.jitecs.ub.ac.id
M. M. Rachman, “Pengaruh Kemampuan Intelektual, Pembelajaran Individual dan Internal Locus of Control terhadap Kompetensi dan Kinerja Dosen (Studi Prodi Manajemen Terakreditasi B pada Universitas Swasta di Surabaya),” Majalah Ekonomi, vol. 22, no. 1, 2012.
E. Yohannes, W. Firdaus Mahmudy, A. Rahmi, and M. I. Komputer, “Penentuan Upah Minimum Kota Berdasarkan Tingkat Inflasi menggunakan Backpropagation Neural Network (BPNN),” Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 2, no. 1, 2015, [Online]. Available: http://malangkota.bps.go.id/