Development of Mobile Application by Applying Content-Based Filtering
DOI:
10.33395/sinkron.v9i1.14320Keywords:
Content-Based Filtering, E-commerce, Mobile Application, Recommendation SystemAbstract
The rapid advancements in information technology have transformed modern lifestyles, driving changes in consumer behavior and expectations, especially in the retail industry. This study focuses on developing a mobile application for Ampu Mart, a newly established retail business in Indonesia, to optimize product recommendation systems using the Content-Based Filtering (CBF) approach. The research integrates CBF with string matching and cosine similarity algorithms to provide personalized product recommendations based on customer preferences, enhancing user satisfaction and supporting more efficient purchasing decisions. The methodology involves several stages, including problem identification through observation and interviews, data collection on product attributes and customer preferences, system design, prototype development, implementation, and testing. The application leverages advanced algorithms to analyze product characteristics, ensuring relevant recommendations by matching user preferences with product attributes. User Acceptance Testing (UAT) conducted with 30 participants—customers, administrators, and management—evaluated the application's functionality, usability, accuracy, and performance. Results indicate that the mobile application improves the shopping experience and boosts sales by offering accurate, user-centered recommendations. The findings highlight the strategic importance of integrating intelligent technology into e-commerce platforms to enhance competitiveness in the retail market. Future work recommends incorporating Collaborative Filtering techniques to further enrich the recommendation system by analyzing collective customer behavior.
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References
Alwendi. (2020). Penerapan E-Commerce Dalam Meningkatkan. Manajemen Bisnis, 17(3), 317–325. http://journal.undiknas.ac.id/index.php/magister-manajemen/
Angelina, R., Hutabarat, P., Hutapea, J. S., Marlina, D., & Lubis, M. (2023). Penerapan Algoritma String Matching Dalam Pencocokan Data String. Jurnal Teknik Informatika, 15(2).
Apriliana, P., Ulumudin, B., Pribadi, angga, Hakim, I. R., & Sundari, J. (2021). Pemanfaatan Mobile Commerce Untuk Mendukung Penjualan Kartu Perdana Dengan Model Bisnis B2B. Jurnal Pendidikan Teknologi Informasi (JUKANTI), 4(2 SE-Artikel), 56–62. https://ojs.cbn.ac.id/index.php/jukanti/article/view/290
Badriyah, T., Fernando, R., & Syarif, I. (2018). Sistem Rekomendasi Content Based Filtering Menggunakan Algoritma Apriori. Konferensi Nasional Sistem Informasi 2018, 554. https://jurnal.atmaluhur.ac.id/index.php/knsi2018/article/view/414/339
CEIC. (2023). Pertumbuhan Penjualan Ritel Indonesia. https://www.ceicdata.com/id/indicator/indonesia/retail-sales-growth
Daffa Khairul Rakhmat, M., Handayani Sains dan Teknologi, I., Studi Informatika, P., Teknologi Yogyakarta, U., Jl Siliwangi Jl Ring Road Utara, Y., Lor, J., Mlati, K., Sleman, K., & Istimewa Yogyakarta, D. (2024). Pengembangan Aplikasi Berbasis Mobile untuk Meningkatkan Pengalaman Pelanggan dan Efisiensi Pemasaran dengan Metode ADDIE. Journal of Information System Research (JOSH), 5(2), 374–383. https://doi.org/10.47065/josh.v5i2.4584
Fitriyani Yapan, U. (2022). Penerapan E-Commerce Sebagai Media Penjualan Online (Studi Kasus Pada Toko Sinar Terang Bandar Lampung). JATSI, 2(7), 1237.
Fitrotun Hasanah, Jamilah, U. S. (2024). Transformasi Digital dan Dampaknya Terhadap Pertumbuhan Ekonomi : Studi Kasus Pada Industri E-Commerce. Jurnal Ilmiah Kajian Multidisipliner, 8(6), 216–222.
Fridayanthie, E. W., Haryanto, H., & Tsabitah, T. (2021). Penerapan Metode Prototype Pada Perancangan Sistem Informasi Penggajian Karyawan (Persis Gawan) Berbasis Web. Paradigma - Jurnal Komputer Dan Informatika, 23(2), 151–157. https://doi.org/10.31294/p.v23i2.10998
He, X., Liu, Q., & Jung, S. (2024). The Impact of Recommendation System on User Satisfaction: A Moderated Mediation Approach. Journal of Theoretical and Applied Electronic Commerce Research, 19(1), 448–466. https://doi.org/10.3390/jtaer19010024
Kurniadi, D., Haviana, S. F. C., & Novianto, A. (2020). Implementasi Algoritma Cosine Similarity pada sistem arsip dokumen di Universitas Islam Sultan Agung. Jurnal Transformatika, 17(2), 124. https://doi.org/10.26623/transformatika.v17i2.1613
Kusumatrisna, A. L., Amri, K., Anggraini, L., Untari, R., Sutarsi, T., & Wulandari, V. C. (2023). Statistik eCommerce 2022/2023. In Badan Statistiks Nasional (BPS). https://www.bps.go.id/
Larasati, F. B. A., & Februariyanti, H. (2021). Sistem Rekomendasi Product Emina Cosmetics Dengan Menggunakan Metode Content - Based Filtering. Jurnal Manajemen Informatika Dan Sistem Informasi, 4(1), 45. https://doi.org/10.36595/misi.v4i1.250
Lusni, M. (2021). APLIKASI MOBILE COMMERCE PADA MINIMARKET MARSHANDITA MART. Journal Perencanaan, Sains, Teknologi, Dan Komputer, 4(2), 1301–1312.
Negara, M. S., & Mardiansyah, A. Z. (2024). Implementasi Machine Learning dengan Metode Collaborative Filtering dan Content-Based Filtering pada Aplikasi Mobile Travel (Bangkit Academy). Jurnal Begawe Teknologi Informasi (JBegaTI), 5(1), 126–136. https://doi.org/10.29303/jbegati.v5i1.1193
Nia Lefiani, & Anggalia Wibasuri. (2021). Pengaruh Kemudahan Dan Manfaat Berbelanja Online Terhadap Niat Beli Ulang Dilihat Dari Sikap Konsumen. Jurnal Bina Bangsa Ekonomika, 14(1), 70–78. https://doi.org/10.46306/jbbe.v14i1.47
Purwadisastra, D. (2021). STRATEGI RITEL KONVENSIONAL MODERN DALAM MENGHADAPI PERSAINGAN PADA MASA PANDEMI COVID 19. E-QIEN:Jurnal Ekonomi Dan Bisnis, 8(1), 187–192.
Purwanto, A. (2021). Industri Ritel di Indonesia: Regulasi, Sejarah, Potret, dan Tantangan. Kompas. https://www.kompas.id/baca/paparan-topik/2021/06/03/industri-ritel-di-indonesia-regulasi-sejarah-potret-dan-tantangan
Putri, D. A., Pramesti, D., I, D., & Santiyasa, W.-346386493. ri. (2022). Penerapan Metode Content-Based Filtering dalam Sistem Rekomendasi Video Game. Jnatia, 1(1), 229–234.
Rafanda, S., Kurniawati, F., Awali, H., & Abdurrahman Wahid Pekalongan, U. K. (2024). Pengaruh Penggunaan Platform E-Commerce Terhadap Kinerja Penjualan Toko Offline Muda Mudi di Era Digital. Jurnal Sahmiyya, 3(1), 115–122.
Ridwansyah, T., Subartini, B., & Sylviani, S. (2024). Penerapan Metode Content-Based Filtering pada Sistem Rekomendasi. Mathematical Sciences and Applications Journal, 4(2), 70–77.
Shantilawati, I., Zebua, S., & Tarmizi, R. (2024). Penggunaan Digital Marketing Dalam Meningkatkan Penjualan Bisnis Retail. Jmari, 5(1), 30–37. https://doi.org/10.33050/jmari.v5i1.3130
Ulya, A. ’, Putri, O. N., & Naylawati, W. A. (2023). Budaya Konsumtif Belanja Online Dikalangan Mahasiswa. Prosiding Seminar Nasional, 1300–1308.
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