Aplikasi E-Comerce Produk UMKM menggunakan Metode Filtrasi Kolaboratif berbasis Mobile

Authors

  • Pria Mitra Purba Program Studi Sistem Informasi, Universitas Islam Negeri Sumatera Utara
  • Suendri Suendri Program Studi Sistem Informasi, Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.29408/edumatic.v8i1.25880

Keywords:

application, e-commerce, collaborative filtering

Abstract

Micro, Small, and Medium Enterprises (UMKM) in Tebing Tinggi City, North Sumatra have great potential to encourage local economic growth. However, most UMKM in this city still face obstacles in marketing their products online. This research aims to develop a mobile-based e-commerce application with a collaborative filtration method for local UMKM to increase sales and turnover. The type of research is Research and Development (R&D) using the waterfall model including requirements analysis, system design, implementation, testing, and maintenance. The data analysis used includes a collaborative filtration method to recommend products to users based on the highest rating of all UMKM products on the application. Needs analysis through observation, interviews, and literature study. Design using UML diagrams. The implementation applies collaborative filtration for product recommendations based on user preferences, and functionality testing using black boxes. This research produces an e-commerce application that can provide product recommendations that are relevant and by user preferences based on the highest rating patterns and similar behavior of other users. Apart from that, this application also runs smoothly without any problems after black box testing.

References

Abidin, T., Wiyono, S., & Iswanto, A. (2021). Implementasi Algoritma NRF dalam recommender system berbasis content dan collaborative filtering sebagai strategi bisnis UMKM (Doctoral dissertation, Politeknik Harapan Bersama). https://eprints.poltektegal.ac.id/980/

Adi, R. P. (2020). Program Kemitraan Masyarakat (Pkm) Pelatihan Aplikasi Akuntansi Bagi Pekau Bisnis Online (E-Comerce Skala Kecil Dan Menengah Di Kota Pekanbaru). MAPAN: Jurnal Manajemen, Akuntansi, Ekonomi, Perbankan, 1(1), 106-110.

Alda, M., bela Limbong, R., Rambe, A. I. P., & Adhita, A. (2022). Perancangan aplikasi pengelolaan stok menggunakan kodular dan airtable. Teknologi: Jurnal Ilmiah Sistem Informasi, 12(2), 8-15.

Danuri, M. (2019). Perkembangan dan transformasi teknologi digital. Jurnal Ilmiah Infokam, 15(2), 116-123.

Darmawan, F. (2023). Implementasi Website Dan E-Comerce Sebagai Promosi Online Umkm Desa Telukbango. Abdima Jurnal Pengabdian Mahasiswa, 2(1), 257-263.

Dwihatami, D., Suendri, S., & Putri, R. A. (2022). Aplikasi Pemesanan Jadwal Pengobatan Tradisional Pada Startup Medis Reborn Berbasis Web. Journal of Information System Research (JOSH), 4(1), 8-15. https://doi.org/10.47065/josh.v4i1.2171

Hidayat, N., & Khotimah, H. (2019). Pemanfaatan teknologi digital dalam kegiatan pembelajaran. Jurnal Pendidikan dan Pengajaran Guru Sekolah Dasar (JPPGuseda), 2(1), 10-15. https://doi.org/10.33751/jppguseda.v2i1.988

Ilyas, I., Achmady, S., & Salat, J. (2023). Aplikasi E-Comerce Dalam Pemasaran Kopi Berbasis Android Di Kabupaten Pidie. Jurnal Real Riset, 5(2), 359-364. https://doi.org/10.47647/jrr.v5i2.1178

Kluver, D., Ekstrand, M. D., & Konstan, J. A. (2018). Rating-based collaborative filtering: algorithms and evaluation. Social information access: Systems and technologies, 344-390. https://doi.org/10.1007/978-3-319-90092-6_10

Koren, Y., Rendle, S., & Bell, R. (2021). Advances in collaborative filtering. Recommender systems handbook, 91-142. https://doi.org/10.1007/978-1-0716-2197-4_3

Limous, C., & Sutrisno, N. (2021). Peningkatan Pangsa Pasar Peruashaan E-Comerce melaui Customer Loyalty. E-Jurnal Manajemen Trisakti School of Management (TSM), 1(3), 99-112.

Rohman, M. D., & Triyono, G. (2019). Analisis Dan Penerapan Aplikasi Penjualan Online (E-Comerce) Pada Trustworthy_Id Studi Kasus: Toko Sepatu Trustworthy_Id Tangsel. Idealis: InDonEsiA journaL Information System, 2(6), 107-113.

Sarwoto, S., Etri, S., & Khairunnizar, M. A. (2022). Sosialisasi Legalitas Dan Manajemen Usaha Bagi Pelaku Usaha Umkm Di Kecamatan Bajenis Kota Tebing Tinggi. Community Service Progress, 1(2), 30-33.

Sutjiadi, R., Rahmawati, T., & Halim, E. (2021). Pengembangan Website Marketplace Binatang Peliharaan dengan Fitur Lelang Menggunakan Metode Rapid Application Development. Jurnal Sistem Informasi Bisnis, 11(2), 152-160. https://doi.org/10.21456/vol11iss2pp152-160

Sutjiningtyas, S., & Dharmawan, A. A. (2022). Rancang Bangun Sistem Rekomendasi Produk Sepatu pada Toko Online Menggunakan Metode User-Base Collaborative Filtering. Bulletin of Information Technology (BIT), 3(2), 143-148. https://doi.org/10.47065/bit.v3i2.288

Wang, C. D., Deng, Z. H., Lai, J. H., & Philip, S. Y. (2018). Serendipitous recommendation in e-commerce using innovator-based collaborative filtering. IEEE transactions on cybernetics, 49(7), 2678-2692. https://doi.org/10.1109/TCYB.2018.2841924

Wang, X., He, X., Wang, M., Feng, F., & Chua, T. S. (2019). Neural graph collaborative filtering. Proceedings of the 42nd international ACM SIGIR conference on Research and development in Information Retrieval, 165-174. ACM Digital Library. https://doi.org/10.1145/3331184.3331267

Xia, J. (2016). E-commerce product recommendation method based on collaborative filtering technology. International Conference on Smart Grid and Electrical Automation (ICSGEA), 90-93. IEEE. https://doi.org/10.1109/ICSGEA.2016.81

Yudowati, R., & Handiatmoko, D. (2021). Pengaruh e–marketing dan e-comerce terhadap pendapatan usaha umkm di tengah pandemi covid 19 (studi kasus kecamatan duren sawit). JISAMAR (Journal of Information System, Applied, Management, Accounting and Research), 5(4), 987-1005.

Zheng, L., Lu, C. T., Jiang, F., Zhang, J., & Yu, P. S. (2018). Spectral collaborative filtering. Proceedings of the 12th ACM conference on recommender systems, 311-319. ACM Digital Library. https://doi.org/10.1145/3240323.3240343

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Published

2024-06-20