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All Journal JSAI (Journal Scientific and Applied Informatics) KLIK: Kajian Ilmiah Informatika dan Komputer DECODE: Jurnal Pendidikan Teknologi Informasi Jurnal Informatika Teknologi dan Sains (Jinteks)
Rr. Hajar Puji Sejati
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Computer Science & IT Control & Systems Engineering Education Languange, Linguistic, Communication & Media Other

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Journal : JSAI (Journal Scientific and Applied Informatics)

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Impelementasi Framework Express JS Pada "Mupuk": Aplikasi Layanan Subsidi Pupuk Berbasis Android Hamdan Ainur Riza Syakirin; Rr. Hajar Puji Sejati
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 3 (2024): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i3.7241

Abstract

In recent years, the development of information technology has changed various sectors, including the agricultural sector. One important policy in the agricultural sector is the fertilizer subsidy program, which aims to help farmers gain access to fertilizers at affordable prices and maintain food production stability. However, the challenge of distributing fertilizer subsidies in a targeted and efficient manner is still an issue that needs to be addressed. In developing this application, a backend framework that is fast, efficient, and capable of handling large amounts of data is required. Express.js is one framework that is widely used in the development of Node. js-based applications because of their reliability in building lightweight and fast APIs. This framework allows developers to build server-side applications that can support mobile applications in communicating data in real-time and effectively. Interpretation of Ease of Use results: 83% of users were satisfied or very satisfied, Interface design: 75% of users were satisfied with the interface design of the application, Speed of Response: 76% of users were satisfied with the application's response speed, Information Relevance: 88% of users felt that the information presented was very relevant, Overall Satisfaction: Overall, 81% of users were satisfied with the app, although some areas could be improved.
Sistem Otomatisasi Deteksi dan Ekstraksi Data KTP Berbasis Convolutional Neural Network dan Optical Character Recognition Fatih Gesang Panuntun; Rr. Hajar Puji Sejati
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 3 (2024): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i3.7269

Abstract

Identity cards in Indonesia serve as official identities that store important information for administrative and social purposes. Managing information on ID cards often faces challenges, especially in manual processes. Implementing OCR technology for ID card data extraction improves operational efficiency and opens up opportunities for developing more innovative digital services. With the automation of data capture, organizations can focus on improving service quality and analyzing community needs more precisely. This research develops a CNN and Optical Character Recognition (OCR)-based ID card detection system to improve data processing efficiency. The system was tested and produced 92% accuracy, 100% precision, 85% recall, and 92% F1-Score. Based on this data, using OCR technology allows text extraction from physical KTP documents with high accuracy, thus speeding up data verification and reducing input errors.
Co-Authors Agus Suhendar Andi Surandi Berkah Fadli Nur Ramadlan Damar Wahyu Hidayat Diky Listianto Fadil Indra Sanjaya Fajar Permana Putra Fatih Gesang Panuntun Hamdan Ainur Riza Syakirin SRI WULANDARI