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Penerapan Aplikasi FashionFleet Berbasis AI untuk Meningkatkan Omset Penjualan dan Pengelolaan Manajemen Usaha Yusra Fernando; Dedi Darwis; Febrian Eko Saputra
Journal Social Science And Technology For Community Service Vol. 6 No. 2 (2025): Volume 6, Nomor 2, September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v6i2.863

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kinerja usaha UMKM Toko Baju Starly melalui penerapan aplikasi FashionFleet berbasis Artificial Intelligence (AI). Permasalahan utama mitra meliputi pencatatan transaksi yang masih manual, kesulitan dalam perhitungan harga pokok penjualan (HPP), kurangnya pengelolaan stok, serta strategi pemasaran digital yang belum optimal. Metode yang digunakan dalam kegiatan ini mencakup pendekatan partisipatif, kolaboratif, dan pemberdayaan melalui pelatihan, pendampingan, serta implementasi aplikasi. Hasil evaluasi menunjukkan adanya peningkatan signifikan pada berbagai aspek, antara lain pemahaman penggunaan aplikasi (45% menjadi 85%), manajemen stok (40% menjadi 90%), pencatatan transaksi (50% menjadi 92%), strategi pemasaran digital (35% menjadi 88%), serta pengelolaan keuangan (48% menjadi 90%). Selain itu, omset penjualan juga meningkat sekitar 56% setelah penggunaan aplikasi. Dengan demikian, penerapan FashionFleet terbukti mampu meningkatkan efisiensi operasional, memperluas jangkauan pasar, dan mendukung kemandirian mitra dalam menghadapi tantangan era digital.
METODE VECTOR SPACE MODEL UNTUK WEB SCRAPING PADA WEBSITE FREELANCE Andi Nurkholis; Yusra Fernando; Faris Arkans Ans
INTI Nusa Mandiri Vol. 18 No. 1 (2023): INTI Periode Agustus 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i1.4266

Abstract

Abstract— In digitalization era, internet is at the center of all lines of community activity, just like the field of work. Currently, many platforms provide job vacancies, especially for freelancers. To obtain this information, users usually need to open several websites to find information about suitable job vacancies. Web scraping offers solution to overcome these problems. Based on research that has been done, the BeautifulSoup and Selenium libraries will be used to collect data. To search for data, vector space model method is used to find the level of data similarity between the query and the document. In exploring data, the average near-perfect recall value is 98%, while the average precision value is 56%. This is because data search uses three parameters, so the possibility of retrieving irrelevant data is more significant if the document contains a word in the user's query, even though the context does not match. Utilizing the Streamlit framework in Python can display the data processing results and help users navigate the web scraping process, data processing, and data search. This study aims to implement the web scraping method to retrieve data from freelance websites: Freelance, Project, and Sribulancer. By applying the vector space model method, users can search data from several websites without opening freelance websites one by one. Using data visualization in the form of a web application using the Streamlit framework, the web scraping results can also be processed to be presented in a more helpful form and save the user's time