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An Integrated Queue System With Fingerprint Recognition And Scoring Board In Bank Samuel Sampe Tuah Purba; Beni Satria; Muhammad Rizki Syahputera
Jurnal Scientia Vol. 13 No. 03 (2024): Education and Sosial science, June - August 2024
Publisher : Sean Institute

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Abstract

This paper described proposes an integrated queue system for banks, combining fingerprint recognition technology with a scoring board. The system aims to enhance customer service efficiency and security while optimizing queue management. By incorporating fingerprint recognition, customers can easily verify their identity without the need for physical documents or cards, streamlining the authentication process. Additionally, the scoring board provides real-time updates on queue status, allowing both customers and bank staff to monitor waiting times and prioritize service accordingly. The integration of these technologies offers a comprehensive solution to improve the overall banking experience, ensuring smoother operations and higher customer satisfaction. Therefore, the aim of this research is to create a school payment system that is packaged electronically by utilizing the internet network and fingerprint identification as the payment medium. This payment system was created by utilizing fingerprint technology that is embedded in each student's cellphone and is integrated with the internet as a data exchange route. The system flow starts from registering your fingerprint via a fingerprint scanner, logging in, topping up your balance, viewing and selecting the payment list, and finally making a payment by authenticating your fingerprint using a fingerprint reader. It is hoped that this research can ease the burden on treasurers and all students in terms of school payments, especially those within the Tanwirul Afkar Islamic Vocational School so that a payment system can be obtained that is faster, more flexible and safer to use.
Efektifitas Penerapan Algoritma Decision Tree pada Sistem E-Persuratan dalam Meningkatkan Kecepatan dan Akurasi Pengelolaan Dokumen Muhammad Fuad Hafiz; Ade Iskandar; Dedy Rahman Harahap; Samuel Sampe Tuah Purba; Khairul
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 1 (2026): Juni 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i1.956

Abstract

Perkembangan teknologi informasi telah mendorong transformasi dalam pengelolaan dokumen administrasi melalui penerapan sistem e-persuratan. Namun, proses klasifikasi dokumen yang masih dilakukan secara manual sering menimbulkan kesalahan dan keterlambatan dalam pengelolaan dokumen. Penelitian ini bertujuan untuk menganalisis efektivitas penerapan algoritma Decision Tree dalam meningkatkan kecepatan dan akurasi pengelolaan dokumen pada sistem e-persuratan. Metode penelitian yang digunakan adalah pendekatan kuantitatif eksperimental dengan tahapan meliputi pengumpulan data, pra-pemrosesan, pembagian dataset, pembangunan model, serta evaluasi kinerja menggunakan metrik akurasi, precision, recall, dan F1-score. Hasil penelitian menunjukkan bahwa algoritma Decision Tree mampu mencapai tingkat akurasi sebesar 83%, dengan nilai precision 82%, recall 81%, dan F1-score 81,5%. Selain itu, penerapan algoritma ini juga mampu meningkatkan efisiensi waktu pemrosesan dokumen hingga sekitar 66% dibandingkan metode manual. Temuan ini menunjukkan bahwa Decision Tree efektif dalam meningkatkan kinerja sistem e-persuratan, baik dari segi kecepatan maupun akurasi. Dengan demikian, integrasi algoritma Decision Tree dapat menjadi solusi strategis dalam mendukung pengelolaan dokumen yang lebih efisien, akurat, dan berbasis teknologi.