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Hafizh Al Kautsar Aidilof
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Fakultas Teknik Program Studi Teknik Informatika Universitas Malikussaleh Jl. Batam. Kampus Bukit Indah. Gedung Prodi Teknik Informatika. Blang Pulo, Lhokseumawe, Aceh
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TECHSI - Jurnal Teknik Informatika
Published by Universitas Malikussaleh
ISSN : 23024836     EISSN : 26146029     DOI : https://doi.org/10.29103/techsi.v13i2.3548
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Education Other
Focus and Scope The fields covered in the scope of TECHSI include: Artificial Intelligence Computer Graphics and Animation Image Processing Cryptography Computer Network Security Modelling and Simulation Information Retrieval Information Filtering Multimedia Bioinformatics and Telemedicine Computer Architecture Design Computer Vision and Robotics Parallel and Distributed Computing Operating System Compiler and Interpreter Information System Game Numerical Methods Mobile Computing Natural Language Processing Data Mining Cognitive System Digital Speech Processing Expert System Geographical Information System Computing Theory
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 3 Documents
 1 
Search results for , issue "Vol. 16 No. 2 (2025)" : 3 Documents clear
Analisis Antarmuka Pengguna pada Sistem Informasi Desa (OpenSID) Gampong Keubang Kabupaten Pidie dalam Perspektif Interaksi Manusia dan Komputer Ananda Ramadana, Rinov Ananda Ramadana; Salat, Junaidi; Qadri; Hikmal, Fhandi; Nursilul, Cut
TECHSI - Jurnal Teknik Informatika Vol. 16 No. 2 (2025)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v16i2.25159

Abstract

This study aims to analyze the user interface of the Village Information System (OpenSID) in Gampong Keubang, Pidie Regency, based on Human-Computer Interaction (HCI) principles. The research uses direct observation and documentation of system interfaces such as the dashboard, village service menus, population data, and administrative features. The analysis focuses on usability aspects, including ease of use, design consistency, text readability, navigation, and user needs compliance. The findings indicate several issues, such as unstructured layout, icons without text labels, low color contrast, and important information that is not immediately visible. However, the system has sufficiently supported village officials in managing data digitally. This study is expected to provide recommendations for improving the OpenSID interface design to be more user-friendly and in line with user needs.
PERAN VISUALISASI DATA DAN KECERDASAN BUATAN DALAM MENINGKATKAN PENGALAMAN PENGGUNA PADA SISTEM INFORMASI AKADEMIK Muhammad Farid; Junaidi Salat; Zikra Hayati; Mauly Nadia; Dellia Maulidar
TECHSI - Jurnal Teknik Informatika Vol. 16 No. 2 (2025)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v16i2.25178

Abstract

Penelitian ini mengembangkan chatbot akademik berbasis kecerdasanbuatan yang terintegrasi dengan visualisasi data interaktif dalam SistemInformasi Akademik (SIA). Sistem dibangun menggunakan Python dengandata JSON sebagai sumber informasi akademik mahasiswa. Hasil evaluasimenunjukkan chatbot mampu menjawab pertanyaan akademik secarakontekstual dengan waktu respons rata-rata 1,8 detik dan akurasi 88%.Integrasi AI dan visualisasi data terbukti efektif meningkatkan kecepatanserta pemahaman pengguna terhadap informasi akademik. Sistem inidiharapkan dapat membantu mahasiswa dan dosen dalam memperolehdata akademik secara cepat, akurat, dan efisien.
A, PENGEMBANGAN SISTEM DETEKSI WAJAH MENGGUNAKAN DEEP LEARNING UNTUK APLIKASI ABSENSI OTOMATIS DI PERUSAHAN ARIS MOTOR MUHAMAD BAHRUL ULUM
TECHSI - Jurnal Teknik Informatika Vol. 16 No. 2 (2025)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v16i2.25212

Abstract

Employee attendance is one of the important aspects of company management. However, the manual attendance process often causes issues such as queues, inaccurate record-keeping, and potential fraud. Therefore, this study aims to develop an automated attendance system based on facial recognition by utilizing Deep Learning technology, specifically the Convolutional Neural Network (CNN) method, using the Python programming language.This system is designed to automatically detect and recognize employees' faces through a camera, so that the attendance process can be carried out more quickly, efficiently, and with minimal contact. The model training process is conducted by collecting employee facial data, which is then processed into embeddings using CNN. Subsequently, the facial detection results are matched with the data stored in the database.This study was conducted at Aris Motor company as the trial location for the system. The test results showed that the system was capable of recognizing This research was conducted at Aris Motor company as the trial location for the system. The test results showed that the system was able to recognize employees' faces with a good level of accuracy and provide feedback such as “Welcome [name]” when they first check in, as well as detect if a face has previously checked in or is not recognized at all.With this system, it is expected that the attendance process at Aris Motor will become more modern, practical, and reliable, while also serving as an initial step towards the digitalization of attendance systems in the workplace.Keywords: Automatic Attendance, Face Detection, Deep Learning, CNN, Python, Aris Motor

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