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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Siti Ma’shumah
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Computer Science & IT Engineering

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Ingredients Identification Through Label Scanning Using PaddleOCR and ChatGPT for Information Retrieval Rosyadi, Ahmad Wahyu; Siti Ma’shumah; Muhammad Qomaruz Zaman; Moh. Rizki Fajar
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 6 (2024): December 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i6.6119

Abstract

Human health depends on choosing food ingredients that align with dietary needs and avoid allergens. However, consumers often encounter unfamiliar ingredients that require additional information. Traditionally, they search online by typing in the ingredient's name which can be time-consuming and may not yield relevant results. Therefore, a system to identify and display ingredient information is necessary. This study proposes a new system that identifies ingredients by scanning the composition label on packaging using PaddleOCR and retrieving information through ChatGPT on a smartphone. The process begins with capturing an image of the composition label. Then PaddleOCR is employed to extract text from the scanned label, enabling identification of the listed ingredients. Subsequently, ChatGPT retrieves detailed information about the desired ingredients and displays it, allowing users to easily understand the ingredients. The system's effectiveness in text recognition is assessed using the character error rate (CER). The results show robust performance by achieving an average CER of 0.14, with flat packaging reaching an impressive CER of 0.05. Additionally, the system's usability was assessed through pilot testing which received significant positive user feedback achieving 4.37 satisfaction level on Likert scale, particularly regarding the clarity and relevance of the ingredient information provided.
Sistem Monitoring Pemberian Pakan Ikan Di Aquarium Ikan Hias Menggunakan Aplikasi Blynk Dengan Memanfaatkan Teknologi Iot Siti Ma’shumah; Ellys Kumala Pramarthaningthyas; Fathur Rohman
Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 3 (2024): September: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/uranus.v2i3.194

Abstract

Technological advances in the industrial era 4.0 mean that various things must prioritize convenience and efficiency in carrying out daily work such as carrying out automatic maintenance and control in the home. This has made many people able to produce various forms of technology that can be controlled automatically and help with work. people who can't take up much time. OT is a technology built to provide ease of work that can be connected to each other using the internet. One use of IoT technology is in the household sector to feed ornamental fish according to need and monitor remaining feed. This tool is designed for NodeMCU as control and an internet connection that is integrated with the Blink application. This tool consists of an HC-SR04 sensor input and a DS3231 RTC timer. The output of this tool uses a servo motor to open and close the contents of the fish feed. Arduino IDE software is used in NodeMCU coding and the Blynk application is used to connect the smartphone and NodeMCU. Based on the results of testing carried out, the system success rate has an average of 95% success. Meanwhile, the average delay is 0.052367 milliseconds.
Co-Authors Ahmad Wahyu Rosyadi, Ahmad Wahyu Ellys Kumala Pramarthaningthyas FATHUR ROHMAN Moh. Rizki Fajar MUHAMMAD QOMARUZ ZAMAN