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dc.contributor.advisorYandra
dc.contributor.advisorSetyaningsih, Dwi
dc.contributor.authorRifa, Kania Haura
dc.date.accessioned2026-08-14T03:59:44Z
dc.date.available2026-08-14T03:59:44Z
dc.date.issued2026
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/178593
dc.description.abstractPenelitian ini bertujuan mengembangkan strategi pemasaran dan sistem edukasi pemasaran berbasis Retrieval-Augmented Generation Large Language Model (RAG-LLM) untuk produk shot drink Sacha Inchi dan Black Garlic. Segmentasi konsumen dilakukan menggunakan K-Means Clustering, analisis finansial menggunakan simulasi Monte Carlo, dan sistem edukasi dikembangkan dengan LangChain, ChromaDB, serta Gemini 2.5 Flash. Hasil menunjukkan bahwa Klaster Premium Informed (21 , 36%) merupakan target pasar utama dengan harga jual yang ditetapkan sebesar Rp37.435 per box. Simulasi Monte Carlo menunjukkan probabilitas keuntungan sebesar 100% pada rentang volume penjualan yang diuji (50—400 box per bulan), dengan titik impas sebesar 18 box per bulan. Sistem edukasi RAG-LLM yang dikembangkan menggunakan 35 dokumen tervalidasi menghasilkan relevansi retrieval sebesar 73 ,4% dan faithfulness sebesar 59,4% Integrasi strategi pemasaran dan sistem edukasi berbasis RAG-LLM berpotensi mendukung pemasaran produk pangan fungsional.
dc.description.abstractThis study aims to develop a marketing strategy and a Retrieval-Augmented Generation Large Language Model (RAG-LLM)-based marketing education system for the Sacha Inchi and Black Garlic shot drink product. Consumer segmentation was conducted using K-Means Clustering, financial analysis using Monte Carlo simulation, and the education system was developed using LangChain, ChromaDB, and Gemini 2.5 Flash. The results show that the Premium Informed cluster (21.36%) is the primary target market, with a selling price set at IDR37 ,435 per box. The Monte Carlo simulation showed a 100% probability of profit within the tested range of sales volume (50—400 boxes per month), with a break-even point of 18 boxes per month. The RAG-LLM education system, developed using 35 validated documents, achieved a retrieval relevance score of 73.4% and a faithfulness score of 59.4%. The integration ofthe marketing strategy and the RAG- LLM-based education system has the potential to support the marketing of functional food products.
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dc.language.isoid
dc.publisherIPB Universityid
dc.titlePerancangan Sistem Edukasi Pemasaran Berbasis RAG-LLM dan Strategi Pemasaran Shot Drink Sacha Inchi dan Black Garlicid
dc.title.alternative
dc.typeSkripsi
dc.subject.keywordKmeans clusteringid
dc.subject.keywordMonte Carloid
dc.subject.keywordRetrieval Augmented Generationid
dc.subject.keywordshot drinkid
dc.subject.keywordstrategi pemasaranid
dc.subtypeUndergraduate Theses


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