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Febriani, Widya
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Neuroscience Physics Public Health Social Sciences

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Penerapan Metode Trend Moment untuk Prediksi Penjualan Kebab : Penerapan Metode Trend Moment untuk Prediksi Penjualan Kebab: Studi Kasus Kebab Turki Zahara FEBRIANI, WIDYA
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 2 (2025): Innotech Issue Juli 2025
Publisher : Universitas Siber Indonesia

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Abstract

The food business presents a significant profit potential due to high public interest in food. Food business owners aim to maximize profits and survive competition, one way being through product sales forecasting. Sales prediction is crucial for optimizing profits and minimizing losses from the accumulation of raw material inventory. This research aims to predict the sales volume of Kebab Turki Zahara for the upcoming month using the Trend Moment Method. The test results indicate that this method is optimal for sales prediction, thereby helping to optimize sales and the management of kebab raw material stock.
Co-Authors Aisyah Aisyah Alfarizi, Habib Angriani, Ria Anhar Anhar Azahrah, Anissya Edwar Rosman Fadhila Supari Frima, Rini Gaputra, Ideva Gunadi Widi Nurcahyo Ikhbal Salam, Riyan Istikomah, Ela Yuni Katrina Flomina G Lasmi Yupita Marviola Hardini Miftahul Hasanah Miftahul Hasanah, Miftahul Ninda Lutfiani Nurhaeni, Tuti Purwo Wibowo, Wasis Puter, Sherin Auliya Ryndu, Aisyah Bunga Singh, Ankur Sumijan Sumijan Ulfa, Ulia Ulia Ulfa Wibowo, Wasis Purwo Yudho Bawono Yupita, Lasmi