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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Jurnal Ilmu Komputer dan Informatika
Frengki Alfredo Matondang
Universitas Negeri Medan
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics

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Smart Absen Implementation of a Facial Recognition-Based Student Attendance System Using the Haar Cascade Method and LBPH Frengki Alfredo Matondang; Sahara Lani Lestari; Dinda Syafitri; Kayla Amelia Putri; Hermawan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2301

Abstract

Manual attendance systems in higher education institutions are often hampered by inefficiency, data inaccuracy, and vulnerability to fraud such as proxy attendance. This study presents the design and implementation of Absen Smart, a face recognition-based attendance system developed using the Haar Cascade and Local Binary Pattern Histogram (LBPH) algorithms within the React.js and Flask frameworks. This system enables the automatic and real-time identification of students via a webcam without requiring additional hardware. Face detection is performed using the Haar Cascade classifier from OpenCV, while face recognition uses the LBPH Face Recognizer with a confidence threshold of 50. Testing was conducted with 28 registered students from the Computer Science Program at UNIMED, Class A, 2024 cohort. Functional evaluation results show that all seven core system features—including face detection, face recognition, duplicate prevention, automatic absence tracking, and Excel report generation—were successfully executed with a 100% success rate. The system achieved a facial recognition accuracy of 92.86%, with an average processing time of 1.2 seconds per verification. These results indicate that the proposed system is an effective, practical, and scalable solution for automating academic attendance in a university setting.
Implementasi Algoritma Merge Sort Berbasis Divide and Conquer untuk Pengurutan Data Nilai Akademik Mahasiswa pada Sistem Informasi Akademik Universitas Sahara Lani Lestari; Frengki Alfredo Matondang; Dinda Syafitri; Kayla Amelia Putri; Adidtya Perdana
Jurnal Ilmu Komputer dan Informatika | E-ISSN : 3063-9026 Vol. 2 No. 4 (2026): April - Juni
Publisher : GLOBAL SCIENTS PUBLISHER

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Abstract

This study examines the application of the Merge Sort algorithm in the process of sorting student academic data within an academic information system (SIAKAD). The issue addressed is the suboptimal processing of academic data, which has the potential to cause delays and errors in the presentation of information. The objective of this study is to implement and evaluate the performance of the Merge Sort algorithm by comparing it with Bubble Sort and Insertion Sort. The method used is an experimental approach through testing on various dataset sizes, ranging from small to large scales, as well as under different data conditions, namely random, sorted, and reversed. Implementation was carried out using a Command Line Interface (CLI)-based application and a web interface to simulate real-world usage. The results of the study indicate that Merge Sort performs more efficiently and consistently than other algorithms, particularly on large datasets. Additionally, this algorithm possesses stable sort properties that maintain the relative order of data with the same values, making it more reliable for academic data processing.
Rancang Bangun Sistem Informasi Inventaris Barang Berbasis Web Menggunakan React.js dan Google Firebase Cloud Frengki Alfredo Matondang; Arung Buana Subuh; Paskal Arienda Epindonta Ginting; Debi Yandra Niska
STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Vol. 5 No. 3 (2026): Agustus
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/storage.v5i3.8662

Abstract

Tata kelola logistik dan pencatatan inventaris konvensional di laboratorium sering kali kurang efisien dan rentan terhadap ketidakakuratan data. Penelitian ini bertujuan untuk mengembangkan Sistem Informasi Inventaris Barang (SIIB) berbasis web guna mendigitalkan dan mengotomatisasi pengelolaan data aset di Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) Universitas Negeri Medan. Pengembangan sistem ini menerapkan metode System Development Life Cycle (SDLC) model Waterfall. Sistem dibangun menggunakan arsitektur Single Page Application (SPA) dengan library React.js dan framework Tailwind CSS untuk antarmuka pengguna, serta basis data terkelola NoSQL Cloud Firestore dan Firebase Authentication untuk manajemen data secara real-time dan pembatasan hak akses pengguna. Validasi sistem dilakukan melalui Black Box Testing untuk menguji fungsionalitas dan User Acceptance Testing (UAT) untuk mengevaluasi penerimaan pengguna operasional lapangan. Hasil pengujian menunjukkan bahwa fungsionalitas sistem berjalan dengan baik dalam mencegah anomali masukan data, serta memperoleh tingkat kepuasan pengguna akhir yang sangat tinggi. Sistem ini juga terbukti efektif dalam memfasilitasi pembuatan dokumen laporan audit periodik secara otomatis dalam format .CSV dan .PDF.
Co-Authors Adidtya Perdana, Adidtya Arung Buana Subuh Dinda Syafitri Hermawan Syahputra Kayla Amelia Putri Niska, Debi Yandra Paskal Arienda Epindonta Ginting Sahara Lani Lestari