skip to main content

Implementasi E-Commerce dengan Sistem Informasi Rekomendasi menggunakan Metode Collaborative Filtering untuk Pengembangan Penjualan pada UMKM

*Miftakhul Khusnah  -  Magister Sistem Informasi, Universitas Diponegoro., Indonesia
Rahmat Gernowo  -  Fakultas Sains dan Matematika & Sekolah Pasca Sarjana, Universitas Diponegoro., Indonesia
Bayu Surarso  -  Fakultas Sains dan Matematika & Sekolah Pasca Sarjana, Universitas Diponegoro., Indonesia
Open Access Copyright (c) 2025 Jurnal Sistem Informasi Bisnis

Citation Format:
Abstract

MSMEs are one of the micro businesses that are carried out to improve the prosperity of home industry, the majority of MSMEs still carry out traditional business processes, but in the current era, product sales can be done anywhere, such as running an online business through e-commerce. The ease of this online business helps MSMEs to develop sales globally,  so e-commerce is needed which will be aquipped with a recommendation information system for sales development in MSMEs. This research aims to implement a recommendation information system in e-commerce using the collaborative filtering method. This method was chosen because of its advantages in producing more accurate recommendations using MSME data, consumer data, and rating data. From the process carried out, the results show that this system provides product recommendations with the highest predictive value, namely M1 is product RSM with a predictive value of  0,5. M3 is product RPC with a predictive value of  0,03. M4 is product RKK with a predictive value of  1. M6 is product RKC with a predictive value of  0,88 which will be displayed to consumers and provide an effective and efficient marketing platform.

Fulltext View|Download
Keywords: MSMEs; E-Commerce; Recommendation Information System; Collaborative Filtering

Article Metrics:

  1. Arief, H. N., & Suwita, J., 2019. Analisis Dan Perancangan Sistem Informasi E-Commerce Untuk Kalangan UMKM (Bengkel Motor). Insan Pembangunan Sistem Informasi Dan Komputer (IPSIKOM) , 4(2)
  2. Ayyadevera, V. K., 2018. Recommender Systems." Pro Machine Learning Algorithms (Apress, Ed.). Springer. http://dx.doi.org/10.1007/978-1-4842-3564-5
  3. Cunha, T., Soares, C., & de Carvalho, A. C. P. L. F., 2018. Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering. Information Sciences, 423, 128–144. https://doi.org/10.1016/j.ins.2017.09.050
  4. Dewi, F., 2017. Profil UMKM Berdasarkan Kematangan Manajemen Proses Bisnis (BPMM) Dan Kesiapan Penngunaan Teknologi Informasi (IT Readiness). Institut Teknologi Sepuluh November, 3–4
  5. Idayu, R., & Husni, M., 2021. Strategi Pengembangan Usaha Mikro Kecil dan Menengah (UMKM) Untuk Meningkatkan Perekonomian Masyarakat Desa di Desa Nembol Kecamatan Mandalawangi Kabupaten Pandeglang Banten. Jurnal Manajemen STIE Muhammadiyah Palopo, 7(1). http://dx.doi.org/10.35906/jm001.v7i1.729
  6. Irfan, M., Dwi C, A., & Hastarita R, F., 2014. Sistem Rekomendasi Buku Online Dengan Metode Collaborative Filtering. Jurnal Teknologi Technoscientia, 7(1), 76–84
  7. Mumtahana, H. A., Nita, S., & Tito, A. W., 2017. Pemanfaatan Web E-Commerce untuk Meningkatkan Strategi Pemasaran. Khazanah Informatika Jurnal Ilmu Komputer Dan Informatika , 3(1), 6–15. https://dx.doi.org/10.23917/khif.v3i1.3309
  8. Nugroho, F., & Rahayu, M. I., 2020. Sistem Rekomendasi Produk UKM Di Kota Bandung Menggunakan Algoritma Collaborative Filtering. Jurnal Sistem Informasi Dan Teknologi Informasi (JURSISTEKNI), 2(3), 23–31. https://doi.org/10.52005/jursistekni.v2i3.63
  9. Nugroho, H. E., & Nugroho, A., 2021. Analisis Dan Perancangan E-Commerce Pada Toko Sepati DOPE13STORE Menggunakan Framework Laravel. Information System Journal (INFOS), 4(1), 38–44. http://dx.doi.org/10.24076/infosjournal.2021v4i1.565
  10. Prasetyo, B., Haryanto, H., Astuti, S., Astuti, E. Z., & Rahayu, Y., 2019. Implementasi Metode Item-Based Collaborative Filtering dalam Pemberian Rekomendasi Calon Pembeli Aksesoris Smartphone. Jurnal Eksplora Informatika, 9(1), 17–27. https://doi.org/10.30864/eksplora.v9i1.244
  11. Pratama, Y. A., Wijaya, D., Paulus, & Halim, A., 2013. Digital Cakery Dengan Algoritma Collaborative filtering. Jurnal SIFO Mikroskil, 14(1), 79–88. http://dx.doi.org/10.55601/jsm.v14i1.94
  12. Prawito, P. S., & Rahadi, 2020. Perancangan Sistem Informasi Toko Online Berbasi Web Dengan Menggunakan Laravel Dan Api Rajaongkir. Jurnal Ilmiah Indonesia, 5(12), 1657–1668. https://doi.org/10.36418/syntax-literate.v5i12.1849
  13. Puntoriza, P., & Fibriani, C., 2020. Analisis Persebaran UMKM Kota Malang Menggunakan Cluster K-means. JOINS (Journal of Information System), 5(1), 86–94. https://doi.org/10.33633/joins.v5i1.3469
  14. Putra, A. I., & Santika, R. R., 2020. Implem entasi Machine Learning dalam Penentuan Rekomendasi Musik dengan Metode Content-Based Filtering. Edumatic: Jurnal Pendidikan Informatika, 4(1), 121–130. https://doi.org/10.29408/edumatic.v4i1.2162
  15. Rerung, R. R., 2018. E-Commerce Menciptakan Daya Saing Melalui Teknologi Informasi. Deepublish
  16. Ricci, F., Rokach, L., & Shapira, B., 2011. Recommender Systems Handbook. In Recommender Systems Handbook. Springer US. https://doi.org/10.1007/978-0-387-85820-3
  17. Rosianti, N. C., Mahenrawati, E., & Nisafani, A. S., 2017. Analisis Tingkat Kematangan Proses Bisnis dan Kesiapan Teknologi Informasi Studi Perusahaan Garmen Mikro, Kecil, dan Menengah di Jawa Timur. JURNAL TEKNIK ITS, 6, 2337–3520. http://dx.doi.org/10.12962/j23373539.v6i2.23160
  18. Sattar, A., Ghazanfar, M. A., & Iqbal, M., 2017. Building Accurate and Practical Recommender System Algorithms Using Machine Learning Classifier and Collaborative Filtering. Arabian Journal for Science and Engineering, 42(8), 3229–3247. https://doi.org/10.1007/s13369-016-2410-1
  19. Tambunan, T. T. H., 2013. UMKM di Indonesia (A. Nazwar, Ed.). Ghalia Indonesia
  20. Tingly, Y. M., Arief, N. K., Setiawan, Susanti, Y. E., & Sulastri, S., 2022. Pemanfaatan Digital Marketing Bagi Pelaku UMKM Desa Cibinong Studi Kasus CV. Kreasi Mandiri. Jurnal Peradaban Masyarakat, 2(2), 45–51. http://dx.doi.org/10.55182/jpm.v2i2.157
  21. Tirtana, A., Zulkarnain, A., Kristanto, B. K., Suhendra, & Hamzah, M. A., 2020. Rancang Bangun Aplikasi E-Commerce Guna Meningkatkan Pendapatan UMKM. Jurnal Ilmiah Teknologi Informasi Asia, 14(2), 101–108. http://dx.doi.org/10.32815/jitika.v14i2.473
  22. Wijanarko, A., & Susila, I., 2016. Faktor Kunci Keberhasilan UMKM Kreatif, Perubahan Kultur Dan Sinergitas Bisnis. Seminar Nasional Ekonomi Dan Bisnis & Call For Paper FEB UMSIDA, 67–81
  23. Xu, G., Zhang, Y., & Li, L., 2010. Web mining and social networking: techniques and applications (Vol. 6). Springer Science & Business Media
  24. Yoshua, I., & Bunyamin, H., 2021. Pengimplementasian Sistem Rekomendasi Musik Dengan Metode Collaborative Filtering. Jurnal Strategi, 3(1), 1–16
  25. Zaliluddin, D., & Rohmat, 2018. Perancangan Sistem Informasi Penjualan Berbasis Web (Studi Kasus Pada Newbiestore). INFOTECH Journal, 4(1), 24–27
  26. Zulkarnain, A., 2019. Penerapan Mobile-First Design pada Antarmuka Website Profil Sekolah Menggunakan Metode Human-Centred Design (Studi Kasus SMPN 21 Malang). Jurnal Ilmiah Teknologi Informasi Asia, 13(2), 125–136. https://doi.org/10.32815/jitika.v13i2.408

Last update:

No citation recorded.

Last update: 2025-03-10 16:37:11

No citation recorded.