Pemanfaatan Dana Desa Untuk Meningkatkan Kesejahteraan Masyarakat Melalui Promosi Produk UMKM Menggunakan Collaborative Filtering Berbasis Android


Authors

  • Agus Maringan Siahaan STMIK Time, Medan, Indonesia
  • Robet STMIK Time, Medan, Indonesia
  • Jonathan Kevin Fernando STMIK Time, Medan, Indonesia
  • Donna Natalia STMIK Time, Medan, Indonesia

DOI:

https://doi.org/10.47065/bulletincsr.v5i1.377

Keywords:

Android; BUMDes; Collaborative Filtering; Village Funds; MSMEs Product

Abstract

Utilizing village funds through Badan Usaha Milik Desa (BUMDes) is a strategic effort to improve the welfare of rural communities. However, its implementation often faces challenges such as suboptimal management of local economic potential and limited promotion of Micro, Small, and Medium Enterprises (MSMEs) products. This study aims to develop an Android-based application utilizing the Collaborative Filtering method as an innovative solution to support the promotion of village MSME products, enhance the effective use of village funds, and drive economic growth in rural areas. The application is designed to provide MSME product recommendations based on user preferences. Integrating the Collaborative Filtering method, the application analyzes user interaction data to offer relevant product suggestions. Its key features include product search, personalized recommendations, and a user-friendly interface that is easy for rural communities to operate. The black-box method testing results show that this application works according to the designed specifications with a system interface functional success rate of 100% of 31 functional interfaces. increased the promotion and sales of local MSME products.

Downloads

Download data is not yet available.

References

A. Rachman, “Jokowi Transfer Rp609 T Buat Desa Selama 9 Tahun, Jadi Apa Saja?,” CNBC Indonesia, 2024. https://www.cnbcindonesia.com/news/20240502081339-4-535067/jokowi-transfer-rp609-t-buat-desa-selama-9-tahun-jadi-apa-saja.

BumDesa, “Badan Usaha Milik Desa,” BumDesa, 2024. http://scioteca.caf.com/bitstream/handle/123456789/1091/RED2017-Eng-8ene.pdf?sequence=12&isAllowed=y%0Ahttp://dx.doi.org/10.1016/j.regsciurbeco.2008.06.005%0Ahttps://www.researchgate.net/publication/305320484_SISTEM_PEMBETUNGAN_TERPUSAT_STRATEGI_MELESTARI.

E. SUBIATI, “PEMBERDAYAAN MASYARAKAT DAN PENGEMBANGAN USAHA EKONOMI PRODUKTIF MELALUI BUMDESA,” Sustain., vol. 11, no. 1, pp. 1–14, 2019, [Online]. Available: http://scioteca.caf.com/bitstream/handle/123456789/1091/RED2017-Eng-8ene.pdf?sequence=12&isAllowed=y%0Ahttp://dx.doi.org/10.1016/j.regsciurbeco.2008.06.005%0Ahttps://www.researchgate.net/publication/305320484_SISTEM_PEMBETUNGAN_TERPUSAT_STRATEGI_MELESTARI.

F. Fitria, “Pemberdayaan Ekonomi Masyarakat Melalui Badan Usaha Milik Desa (Bumdes),” ADL Islam. Econ. J. Kaji. Ekon. Islam, vol. 1, no. 1, pp. 13–28, 2020, doi: 10.56644/adl.v1i1.4.

D. M. Hendra, T. Syah, and F. Purnama, “E-COMMERCE PRODUK KERAJINAN TANGAN,” pp. 21–27, 1907.

R. Priskila, M. Fajar, S. Geges, and W. Widiatry, “Penerapan Metode Collaborative Filtering dan Content Based Filtering Pada Sistem Rekomendasi Smartphone Android,” Technol. J. Ilm., vol. 15, no. 3, p. 477, 2024, doi: 10.31602/tji.v15i3.15255.

A. Fareed, S. Hassan, S. B. Belhaouari, and Z. Halim, “A collaborative filtering recommendation framework utilizing social networks,” Mach. Learn. with Appl., vol. 14, no. September, p. 100495, 2023, doi: 10.1016/j.mlwa.2023.100495.

H. Koohi and K. Kiani, “A new method to find neighbor users that improves the performance of Collaborative Filtering,” Expert Syst. Appl., vol. 83, pp. 30–39, 2017, doi: 10.1016/j.eswa.2017.04.027.

Z. Zainuddin et al., “Sistem Rekomendasi Dashboard Desa Cerdas Menggunakan System of Smart Village Dashboard Recomendation Using,” vol. 4, no. 3, pp. 206–213, 2021, doi: 10.33387/jiko.

H. Februariyanti, A. Dwi Laksono, J. Sasongko Wibowo, and M. Siswo Utomo, “Implementasi Metode Collaborative Filtering Untuk Sistem Rekomendasi Penjualan Pada Toko Mebel,” Khatulistiwa Inform., vol. 9, no. 1, pp. 43–45, 2021, [Online]. Available: www.unisbank.ac.id.

S. Suhada, S. Bahri, S. B. Nugraha, T. Hidayatulloh, and D. Wintana, “Sistem Rekomendasi Produk Menggunakan Metode User-Based Collaborative Filtering Pada Digital Marketing,” J-Intech, vol. 11, no. 1, pp. 159–167, 2023, doi: 10.32664/j-intech.v11i1.866.

J. Shen, T. Zhou, and L. Chen, “Collaborative filtering-based recommendation system for big data,” Int. J. Comput. Sci. Eng., vol. 21, no. 2, pp. 219–225, 2020, doi: 10.1504/IJCSE.2020.105727.

S. Annisa and D. P. Rini, “Collaborative Filtering Recommendation System Using A Combination of Clustering and Association Rule Mining,” vol. 6, no. 3, pp. 1499–1516, 2024, doi: 10.51519/journalisi.v6i3.802.

N. K. Ayyiyah, R. Kusumaningrum, and R. Rismiyati, “Film Recommender System Menggunakan Metode Neural Collaborative Filtering,” J. Teknol. Inf. dan Ilmu Komput., vol. 10, no. 3, pp. 699–708, 2023, doi: 10.25126/jtiik.20231036616.

S. Devi Nurhayati and W. Widayani, “Sistem Rekomendasi Wisata Kuliner di Yogyakarta dengan Metode Item-Based Collaborative Filtering Yogyakarta Culinary Recommendation System with Item-Based Collaborative Filtering Method,” JACIS J. Autom. Comput. Inf. Syst., vol. 1, no. 2, pp. 55–63, 2021, [Online]. Available: https://manganenakyog.my.id/.

N. Siregar and S. Samsudin, “Implementation of Collaborative Filtering Algorithms in Mobile-Based Food Menu Ordering and Recommendation Systems,” J. Media Inform. Budidarma, vol. 7, no. 3, p. 1162, 2023, doi: 10.30865/mib.v7i3.6387.

F. Nugroho and M. Ismu Rahayu, “Sistem Rekomendasi Produk Ukm Di Kota Bandung Menggunakan Algoritma Collaborative Filtering,” J. Ris. Sist. Inf. dan Teknol. Inf., vol. 2, no. 3, pp. 23–31, 2020, doi: 10.52005/jursistekni.v2i3.63.

E. Anugerah Rahayu Kasim, N. Ransi, and J. Teknik Informatika, “Sistem Rekomendasi Produk UMKM Menggunakan Algoritma User-Based Collaborative Filtering Berbasis Website Website-Based MSME Product Recommendation System Using User-Based Collaborative Filtering Algorithm,” vol. 14, no. 2, pp. 152–162, 2024, [Online]. Available: https://stmikpontianak.org/ojs/index.php/sisfotenika.

H. A. Tambunan and J. H. P. Sitorus, “Sistem Rekomendasi Collaborative Filtering,” J. Sains Komput. Inform. (J-SAKTI, vol. 7, no. 2, pp. 1040–1054, 2023.

W. Nurhayati and G. Yanti Kemala Sari Siregar, “Implementasi Metode Waterfall Pada Sistem Informasi Perpustakaan Online Smk Negeri 1 Seputih Agung,” J. Ilmu Komput. Dan Inform., vol. 4, no. 2, pp. 196–207, 2023.

R. Zhang, Q. D. Liu, Chun-Gui, J. X. Wei, and Huiyi-Ma, “Collaborative Filtering for Recommender Systems,” Proc. - 2014 2nd Int. Conf. Adv. Cloud Big Data, CBD 2014, pp. 301–308, 2015, doi: 10.1109/CBD.2014.47.

Y. D. Wijaya and M. W. Astuti, “Pengujian Blackbox Sistem Informasi Penilaian Kinerja Karyawan Pt Inka (Persero) Berbasis Equivalence Partitions,” J. Digit. Teknol. Inf., vol. 4, no. 1, p. 22, 2021, doi: 10.32502/digital.v4i1.3163.

K. Nistrina and L. Sahidah, “Unified Modelling Language (Uml) Untuk Perancangan Sistem Informasi Penerimaan Siswa Baru Di Smk Marga Insan Kamil,” J. Sist. Informasi, J-SIKA, vol. 4, no. 1, p. 17, 2022.


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Pemanfaatan Dana Desa Untuk Meningkatkan Kesejahteraan Masyarakat Melalui Promosi Produk UMKM Menggunakan Collaborative Filtering Berbasis Android

Dimensions Badge

ARTICLE HISTORY

Published: 2024-12-14

Abstract View: 26 times
PDF Download: 34 times

How to Cite

Siahaan, A. M., Robet, Jonathan Kevin Fernando, & Donna Natalia. (2024). Pemanfaatan Dana Desa Untuk Meningkatkan Kesejahteraan Masyarakat Melalui Promosi Produk UMKM Menggunakan Collaborative Filtering Berbasis Android. Bulletin of Computer Science Research, 5(1), 24-32. https://doi.org/10.47065/bulletincsr.v5i1.377

Issue

Section

Articles