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All Journal QISTINA: Jurnal Multidisiplin Indonesia Jurnal Ilmia Widya Pustaka Pendidikan
Armando, Gali
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Religion Biochemistry, Genetics & Molecular Biology Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Social Sciences Other

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ANALISIS KURANGNYA KEMAMPUAN MAHASISWA DALAM MENGGUNAKAN MICROSOFT WORD DAN DAMPAKNYA TERHADAP PENYELESAIAN TUGAS KULIAH Abdurrahman, Umar; Armando, Gali; Siregar, Wal Yunansyah; Munawwar, Muhammad; Ilham, Muhammad Naufal; Dalimunthe, Syairal Fahmy
Widya Pustaka : Jurnal Ilmiah Pendidikan Vol 13 No 1: Edisi Januari - Juni 2025
Publisher : Jurusan Ilmu Pendidikan FKIP Universitas Mataram

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Abstract

This research aims to analyze the factors that influence students' ability to use Microsoft Word at Medan State University. Data was obtained through a questionnaire filled out by 30 students with questions related to ICT learning in high school, difficulties faced in using Microsoft Word, level of knowledge regarding important features of Microsoft Word, and the main obstacles in improving the ability to use this application. The method used is a descriptive quantitative method with frequency and percentage analysis. The research results show that the lack of ICT learning in high school (60%) is the main factor causing the lack of skills in using Microsoft Word. In addition, the majority of students admitted that they often faced difficulties in using this application, even though they felt they had a fairly good knowledge of its features. The main obstacle faced is the lack of technological facilities and time to practice. These findings indicate the need to increase ICT learning in high schools and provide adequate facilities in tertiary institutions.
Rancang Bangun Sistem Absensi Otomatis Berbasis Pengenalan Wajah Menggunakan Model CNN Pretrained pada Platform Web Armando, Gali; Simangunsong, Marta Aulia; Mediansyah, Teguh Arif; Harahap, Zulkaidah; Rahelta, Cristina Elseria; Hutahean, Harvei Desmon; Syahputra, Fahmy; Sabrina, Elsa
QISTINA: Jurnal Multidisiplin Indonesia Vol 4, No 2 (2025): December 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v4i2.7555

Abstract

Conventional attendance methods often lead to queues, time inefficiency, and potential violation of health protocols, necessitating a fast, non-contact, and real-time attendance recording system. This research aims to design and implement a web-based attendance system as a local prototype using face recognition biometrics. The system was developed using Python with the Flask Framework and OpenCV. The core face recognition process combines Dlib's Pretrained CNN model for 128-dimensional feature vector extraction (face embedding) and the K-NN method for classification based on Euclidean Distance calculation. Testing results indicate that the system successfully performs accurate and real-time facial identification. The system is capable of automatically logging attendance times, providing audio feedback, and storing the attendance data recapitulation in an Excel (.xlsx) file. Thus, this system provides an effective and efficient non-contact attendance solution.
Co-Authors Abdurrahman, Umar Harahap, Zulkaidah Hutahean, Harvei Desmon Ilham, Muhammad Naufal Mediansyah, Teguh Arif Munawwar, Muhammad Rahelta, Cristina Elseria SABRINA, ELSA Simangunsong, Marta Aulia Siregar, Wal Yunansyah Syahputra, Fahmy Syairal Fahmy Dalimunthe