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Recommender Systems using Hybrid Demographic and Content-Based Filtering methods for UMKM Products Nadira Putri, Salsa; Awaliyah Zuraiyah, Tjut; Munggaran Akhmad, Dinar
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 21, No 1 (2024): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v21i1.8991

Abstract

Marketing digitization such as e-commerce is needed by micro, small and medium enterprises (UMKM) in Bogor City and Regency so that the products are more easily accessible to consumers. One of the digital marketing that is commonly used by consumers is an e-commerce website. The Recommendation System is implemented into e-commerce websites to increase consumer convenience in online shopping. The recommendation systems method applied is Demographic Filtering and Content-based Filtering. Demographic Filtering uses IMDB Weighted Rating calculations which generate recommendations globally and give recommendations based on each product's IMDB Weighted score. Content-based Filtering uses Cosine Distance calculations which generate personal recommendations and give recommendations based on the score cosine distance of each product in the form of a presentation of the similarity of products that have been purchased with other products. This research uses 107 UMKM fashion and craft product data that was obtained from Bogor City Regional Craft Center which sells various kinds of UMKM products from Bogor City and Regency. Data preprocessing is then carried out on the raw data, with the Data Cleaning, Data Transforming and Data Splitting stages which divide the data in a ratio of 80:20. The accuracy of Demographic Filtering Recommendation System reaches 82.7% and Content-based Filtering Recommendation System reaches 100%.
Design and Implementation of a Web- Based Vessel Daily Report Information System for Optimizing Operational Efficiency and Accounting in the Shipping Industry Rama Putra, Gustian; Fajar Ilmiyono, Agung; Rafif, Raid; Munggaran Akhmad, Dinar
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 8 No 1 (2025): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/j-koma.v8i1.02

Abstract

The rapid development of information technology has provided solutions to various operational challenges in the shipping industry, particularly in daily reporting systems that are still performed manually using spreadsheets. PT. LSM currently faces inefficiencies, data inaccuracy, and lack of real-time access in reporting vessel daily activities. To address these issues, this study aims to design and implement a Web-Based Vessel Daily Report Information System using PHP (Laravel Framework) and MySQL as the database. The research adopts the System Development Life Cycle (SDLC) methodology, which consists of planning, analysis, design, implementation, and testing phases. Data were collected through observation, interviews with company staff, and literature study. The system was designed with features such as vessel daily report management, vessel data management, inventory management, user management and automated report generation in PDF/CSV formats. The testing results, which include structural, functional and validation tests, show that the system operates in accordance with its design and successfully resolves the problems of the previous manual reporting process. The system enables real-time, accurate, and secure reporting that supports both operational monitoring and accounting-related decision-making. In conclusion, the developed system significantly improves the efficiency, accuracy and effectiveness of vessel daily reporting processes at PT. LSM. For future development, the system can be enhanced with additional features such as online crew attendance and ship requisition modules to further strengthen operational and accounting integration.