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STUDY LITERATUR: QUERY EXPANSION PADA TEMU KEMBALI INFORMASI (INFORMATION RETRIEVAL) Shalihah, Rifa'atus; Rifai, Sitti Najmia; Wiradarma, Arga; Nurfajrin. S, A. Ainun
Jurnal SUTASOMA (Science Teknologi Sosial Humaniora) Vol 4 No 1 (2025): Desember 2025
Publisher : Universitas Tabanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58878/sutasoma.v4i1.411

Abstract

Information Retrieval plays a crucial role in assisting users in locating relevant documents within increasingly large data collections. One of the main challenges in the retrieval process is the mismatch between the terms used in a user’s query and the vocabulary contained in documents. Query expansion is widely employed to enrich the initial query by adding related terms, thereby broadening the representation of the user’s information needs. This article presents a literature review of several commonly used query expansion methods, including thesaurus-based approaches, WordNet, association rules, and relevance feedback. This review provides a comprehensive overview of the various query expansion techniques that have been developed within the field of Information Retrieval and serves as a reference for future research aimed at advancing more effective retrieval methods.
IMPLEMENTASI LAYANAN OTOMASI USAHA LAUNDRI BERBASIS WORKFLOW AUTOMATION MENGGUNAKAN N8N Al Fajar, Muhammad Arya; Gunawan; Wiradarma, Arga
AnoaTIK: Jurnal Teknologi Informasi dan Komputer Vol 4 No 1 (2026): Juni 2026
Publisher : Program Studi Ilmu Komputer FMIPA-UHO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/anoatik.v4i1.136

Abstract

The rapid development of information technology has encouraged the digitalization of business processes in Micro, Small, and Medium Enterprises (MSMEs), including laundry businesses. However, order management, service status tracking, and customer communication are still often performed manually, resulting in inefficiencies. This study aims to design and implement a laundry ordering and status tracking system based on workflow automation using the n8n platform integrated with a WhatsApp chatbot and real-time notifications. This research employed the Research and Development (R&D) method, which includes requirements analysis, system design, development, testing, implementation, and evaluation. The system was developed using Django as the backend framework, MySQL as the database, and n8n as the workflow automation engine. System integration was carried out through APIs connected to a Gemini AI-based WhatsApp chatbot. The results show that the system successfully automates communication and laundry status tracking through a WhatsApp chatbot and real-time notifications. Based on Black Box Testing, all major system features functioned according to the specified requirements without significant errors. The developed system improves the efficiency of information delivery to customers and supports more effective laundry business operations.