Gabriel, Damar Wirasada (2026) Analisis Pengembangan Produk Snack ChanChips Berbasis Machine Learning Menggunakan Metode House of Quality (HOQ) Untuk Meningkatkan Keunggulan Kompetitif. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
The Indonesian snack food industry faces increasingly intense competition, requiring businesses to develop products based on consumer needs to maintain competitive advantage. ChansChips, a snack made from milkfish (Chanos chanos) bone flour, encounters market acceptance challenges due to its unconventional raw material, which may affect product taste, aroma, and texture. This study aims to formulate product development recommendations through the integration of Machine Learning, Quality Function Deployment (QFD), and House of Quality (HOQ). The study employed a descriptive quantitative approach using consumer reviews from Shopee, interviews with the business owner, and competitor product reviews for benchmarking. Data were collected through web scraping and processed using text mining and Latent Dirichlet Allocation (LDA)-based Topic Modeling in Orange Data Mining to extract the Voice of Customer (VoC). The results identified seven technical characteristics, with flavor variant as the highest priority (48), followed by spiciness level (46), seasoning composition (42), airtight packaging (40), product moisture content (25), and packaging size and thickness (5).
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management | ||||||||||||
| Depositing User: | Gabriel Damar Gabriel Damar Wirasada | ||||||||||||
| Date Deposited: | 08 Oct 2026 07:06 | ||||||||||||
| Last Modified: | 08 Oct 2026 07:06 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/60551 |
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