DOI: https://doi.org/10.14710/vol15iss4pp%25p

Smart Catering Canteen School (SCCS) using Streamlit

Suryasatriya Trihandaru orcid scopus  -  Master of Data Science, Universitas Kristen Satya Wacana, Jl. Diponegoro 52-60 Salatiga, 50711, Indonesia
*Hanna Arini Parhusip orcid scopus publons  -  Universitas Kristen Satya Wacana, Indonesia
Mitchella Sinta Larasati  -  Master of Data Science, Universitas Kristen Satya Wacana , Jl. Diponegoro 52-60, Salatiga 50711, Indonesia
Open Access Copyright (c) 2026 Jurnal Sistem Informasi Bisnis

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Abstract

The school canteen faced service problems of as many as 1000 students in a short break period, especially when everything had to be done manually on business processes, especially payments. The method that has existed so far is to use Google Form to place menu orders and manually pay all verified customers which causes delays and errors. Therefore, this study aims to create a business information system for canteens called the Smart Canteen System (SCCS) which uses Optical Character Recognition (OCR) and Natural Language Processing (NLP) to be able to automate payment verification and provide sequences. This SCCS business information system will convert proof of payment from text to text and processed so that the validity of the proof of payment can be proven. With the Stremlit platform, the management process can be carried out in real time and reports can be carried out immediately. With this verification, SCCS provides the main result, namely efficiency, reducing errors in business processes in the canteen. Work that was originally done manually in 2 days became 5-10 minutes in the same process.

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Keywords: Smart Canteen; Stremlit; OCR; NLP
Funding: Satya Wacana Christian University

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Section: Research Articles
Language : EN
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  1. Abdul Robby, G., Antonia Tandra, Imelda Susanto, Jeklin Harefa, and Andry Chowanda. 2019. “Implementation of Optical Character Recognition Using Tesseract with the Javanese Script Target in Android Application.” Procedia Computer Science 157:499–505. doi: 10.1016/j.procs.2019.09.006
  2. Domokos, Cristina Edina, Barna Séra, Károly Simon, Lajos Kovács, and Tas Béla Szakács. 2018. “Netfood: A Software System for Food Ordering and Delivery.” SISY 2018 - IEEE 16th International Symposium on Intelligent Systems and Informatics, Proceedings 143–48. doi: 10.1109/SISY.2018.8524854
  3. Dr. Zainab Mirza, Bot Zeba, Qadri Misbah, Sayali Chowkekar, and Jishan Attar. 2023. “Smart Canteen Using Predictive Analysis.” International Journal of Advanced Research in Science, Communication and Technology 3(2):529–35. doi: 10.48175/ijarsct-8879
  4. Joshi, Sujata, Bivek Kasaju, Pratik Karki, Sagun Kant Aryal, and Sujan Bhuwanji Chhetri. 2022. “Smart Canteen Management System.” MysuruCon 2022 - 2022 IEEE 2nd Mysore Sub Section International Conference. doi: 10.1109/MysuruCon55714.2022.9971803
  5. Krasynskyi, O., and O. Markovets. 2024. “Possibilities of Using OCR Technologies from Google for Recognition and Digitalization of Archive Documents.” Visnyk of Kharkiv State Academy of Culture (65):227–37. doi: 10.31516/2410-5333.065.16
  6. Kuzlu, Murat, Ferhat Ozgur Catak, Salih Sarp, Umit Cali, and Oezguer Gueler. 2022. “A Streamlit-Based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks.” Proceedings - 2022 IEEE Future Networks World Forum, FNWF 2022 94–97. doi: 10.1109/FNWF55208.2022.00025
  7. Laique, Sobia Nasir, Umar Hayat, Shashank Sarvepalli, Byron Vaughn, Mounir Ibrahim, John McMichael, Kanza Noor Qaiser, Carol Burke, Amit Bhatt, Colin Rhodes, and Maged K. Rizk. 2021. “Application of Optical Character Recognition with Natural Language Processing for Large-Scale Quality Metric Data Extraction in Colonoscopy Reports.” Gastrointestinal Endoscopy 93(3):750–57. doi: 10.1016/j.gie.2020.08.038
  8. Lestari, Ikha Novie Tri, and Dadang Iskandar Mulyana. 2022. “Implementation of Ocr (Optical Character Recognition) Using Tesseract in Detecting Character in Quotes Text Images.” Journal of Applied Engineering and Technological Science 4(1):58–63. doi: 10.37385/jaets.v4i1.905
  9. Malefors, Christopher, Erik Svensson, and Mattias Eriksson. 2024. “Automated Quantification Tool to Monitor Plate Waste in School Canteens.” Resources, Conservation and Recycling 200(January). doi: 10.1016/j.resconrec.2023.107288
  10. McDowall, R. D. 1991. “The Systems Development Life Cycle.” Chemometrics and Intelligent Laboratory Systems 13(2):121–33. doi: 10.1016/0169-7439(91)90001-I
  11. Menewar, Harshada. 2023. “Smart Canteen and Cafeteria Management System Using RFID Technology.” International Journal for Research in Applied Science and Engineering Technology 11(5):2026–30. doi: 10.22214/ijraset.2023.51975
  12. Nadkarni, Swen, and Reinhard Prügl. 2021. Digital Transformation: A Review, Synthesis and Opportunities for Future Research. Vol. 71. Springer International Publishing
  13. Nantasenamat, Chanin, Avratanu Biswas, J. M. Nápoles-Duarte, Mitchell I. Parker, and Roland L. Dunbrack. 2023. “Building Bioinformatics Web Applications with Streamlit.” Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development (January):679–99. doi: 10.1016/B978-0-443-18638-7.00001-3
  14. Rice, Sv, Fr Jenkins, and Ta Nartker. 1995. “The Fourth Annual Test of OCR Accuracy.” 1995 Annual Report of ISRI, … 1(April):1–39
  15. Rihendri, Erik, Candra Adifa, and Ibnu Santoso. 2022. “Pembangunan Sistem Informasi E-Canteen Berbasis Web Mobile Di Politeknik Statistika STIS (Development of Mobile Web-Based E-Canteen Information System at the Politeknik Statistika STIS).” 2019:633–42
  16. Setiawan, Aldi, Herry Sujaini, and Arif Bijaksana Pn. 2017. “Implementasi Optical Character Recognition ( OCR ) Pada Mesin Penerjemah Bahasa Indonesia Ke Bahasa Inggris.” Jurnal Sistem Dan Teknologi Informasi (JUSTIN) 5(2):135–41
  17. Strecker, Jannis. 2022. “SOCRAR: Semantic OCR through Augmented Reality.”
  18. Syafarina, Gita Ayu, and Zaenuddin Zaenuddin. 2023. “Implementasi Framework Streamlit Sebagai Prediksi Harga Jual Rumah Dengan Linear Regresi.” Metik Jurnal 7(2):121–25. doi: 10.47002/metik.v7i2.608
  19. Wang, Junmiao. 2023. “A Study of The OCR Development History and Directions of Development.” Pp. 409–15 in Highlights in Science, Engineering and Technology. Vol. 72
  20. Zhu, Yue, Ziyuan Sun, Ling Wang, Xiaoping Wang, and Lu Zhang. 2020. “Research on Innovation Catering Behavior and Its Economic Consequences-an Empirical Analysis Based on Threshold Regression Model.” Sustainability (Switzerland) 12(19). doi: 10.3390/su12198198

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