Pengembangan Fitur Pencarian dan Filter Produk pada Aplikasi E-Commerce Gallery Muslim Berbasis Android
Article Sidebar
Main Article Content
Abstract
Article Summary
The primary challenge in inventory management for MSMEs like Gallery Muslim lies in the manual recording system using notebooks and Excel spreadsheets, which is prone to errors and data loss. Yet, structured offline mobile solutions for micro-scale fashion MSMEs with fragmented recording practices remain limited. This research aims to design and develop an Android-based stock management application utilizing a local Room Database for efficient and accurate digital recording. The study focuses on Gallery Muslim, a retail shop specializing in Muslim clothing and school uniforms. Data were collected through interviews, direct observation, and focus group discussions (FGD) with store owners and warehouse staff. Instruments included documentation of recording activities and analysis of feature requirements. The results demonstrate that the application accelerates the stock recording process by up to 50% compared to manual methods (based on initial simulations), enhances data accuracy, and enables offline access without an internet connection. The study concludes that this Android-based local application is highly suitable for MSMEs not yet integrated with online systems, offering a practical tool for small business owners to embark on digital transformation and improve operational efficiency.
Keywords
Article Keywords
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC-BY 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
License: All articles are licensed under 
Halim, F., & Wijaya, A. H. (2022). Analisis dan Perancangan E-Commerce Berbasis Web Dengan Penerapan Sistem Perekomendasian Menggunakan Metode Collaborative Filtering Serta Metode Up, Down, Cross Selling. ALGOR, 4(1), 28-43. https://doi.org/10.31253/algor.v4i1.1516.
Hidayat, B. M. H., & Putra, R. E. (2019). Penerapan CNN dengan Filter Gabor sebagai feature extractor untuk Content-Based Image Retrieval. Journal of Informatics and Computer Science (JINACS), 1(01), 16-25. https://doi.org/10.26740/jinacs.v1n01.p16-25.
Laudon, K. C., & Laudon, J. P. (2012). Essentials of management information systems. Prentice Hall.
Liana, L. I., & Nudin, S. R. (2020). Implementasi algoritma Best-First Search untuk aplikasi mesin pencari handphone pada e-commerce (Apenphone). Journal of Informatics and Computer Science (JINACS), 2(01), 67-73.
Malisi, B. S. (2023). Rancang Bangun Pada Aplikasi E-Commerce Dengan Fitur Rekomendasi Produk Menggunakan Metode Apriori Dan Content Based Filtering Berbasis Android (Studi Kasus: Toko Elis Collection (Doctoral dissertation, Universitas Komputer Indonesia).
Muqoddas, A., Yogananti, A. F., & Bastian, H. (2020). Usability User Interface Desain pada Aplikasi Ecommerce (Studi Komparasi Terhadap Pengalaman Pengguna Shopee, Lazada, dan Tokopedia). ANDHARUPA: Jurnal Desain Komunikasi Visual & Multimedia, 6(1), 73-82.
Nugroho, A. Y. (2024). Transformasi Digital: Mengoptimalkan Strategi E-Commerce Di Era Disrupsi. Jurnal Ilmiah Bisnis Digital, 1(1), 56-66. https://doi.org/10.69533/372gvd16.
Nurlaelasari, E., & Pramono, E. (2023). Rancangan Kansei Engineering System (KES) untuk Optimasi Hasil Pencarian Berdasarkan Kategori Emosi. Computer Science (CO-SCIENCE), 3(1), 24-32. https://doi.org/10.31294/coscience.v3i1.1795.
O'brien, J. A., & Marakas, G. M. (2006). Management information systems (Vol. 6). New York, NY, USA:: McGraw-Hill Irwin.
Priandana, B. S. A., Widiartha, I. M., & Astuti, L. G. (2023). PENGEMBANGAN FITUR ROOM BOOKING PADA APLIKASI SISTEM PEMINJAMAN RUANGAN BERBASIS IOS. Jurnal Pengabdian Informatika, 1(2), 357-362.
Setiawan, M. S. (2021, December). Analisis Tingkat Usabilitas Menggunakan Metode Performance Measurement dan System Usability Scale (SUS) pada Aplikasi E-commerce Indomaret dan Alfamart. In Seminar Nasional Teknik Dan Manajemen Industri (Vol. 1, No. 1, pp. 299-306). https://doi.org/10.28932/sentekmi2021.v1i1.46.
Setiyadi, A., & Harihayati, T. (2015). Penerapan sqlite pada aplikasi pengaturan waktu ujian dan presentasi. Majalah Ilmiah UNIKOM.
Tommy, L., Kirana, C., & Lindawati, V. (2019). Recommender System dengan Kombinasi Apriori dan Content-Based Filtering pada Aplikasi Pemesanan Produk. J. Teknoinfo, 13(2), 84-95.