About the Journal
AITI: Jurnal Teknologi Informasi is a peer-review journal focusing on information system and technology issues. AITI invites academics and researchers who do original research in information system and technology. AITI:Jurnal Teknologi Informasi is published by Faculty of Information Technology Universitas Kristen Satya Wacana in March and September every year. AITI:Jurnal Teknologi Informasi accept articles in Bahasa Indonesia and English.
This journal has been accredited by National Journal Accreditation (ARJUNA) Managed by Ministry of Research, Technology, and Higher Education, Republic Indonesia with third Grade (Sinta 3) according SK Direktur Jenderal Pendidikan Tinggi, Riset, dan Teknologi, No. 177/E/KPT/2024 15 Oktober 2024.

Announcements
Current Issue
Articles
-
Identifikasi jenis batik menggunakan metode Convolutional Neural Network (CNN) berbasis website
Abstract: 160 views PDF (Bahasa Indonesia): 111 downloads -
Perbandingan Naïve Bayes dan KNN dalam menganalisis sentimen pengguna terhadap UI/UX pada aplikasi IKD
Abstract: 80 views PDF (Bahasa Indonesia): 69 downloads -
Penerapan algoritma Long Short-Term Memory untuk prediksi jalan berlubang
Abstract: 79 views PDF (Bahasa Indonesia): 62 downloads -
Deteksi kendaraan di lalu lintas menggunakan Kalman Filter dan Yolo v8
Abstract: 127 views PDF (Bahasa Indonesia): 109 downloads -
Implementasi sistem monitoring kualitas air berbasis IoT pada penampung mata air di daerah Larier Ambon
Abstract: 146 views PDF (Bahasa Indonesia): 79 downloads -
Evaluasi empiris model ARIMA dan LSTM dalam konteks peramalan penjualan mobil Toyota
Abstract: 163 views PDF (Bahasa Indonesia): 97 downloads -
Exploring organizational readiness for ERP HRM implementation using the McKinsey 7S Framework
Abstract: 102 views PDF: 84 downloads -
Analisis sentimen masyarakat terhadap PON 2024 Aceh dan Sumatra Utara di Twitter menggunakan algoritma SVM dan KNN
Abstract: 83 views PDF (Bahasa Indonesia): 49 downloads -
Komparasi performa model machine learning algoritma XGBoost dan Random Forest pada studi kasus mendeteksi stunting
Abstract: 123 views PDF (Bahasa Indonesia): 74 downloads -
Klasifikasi sentimen pada ulasan pengguna aplikasi Cryptocurrency di Google Play Store menggunakan algoritma Decision Tree
Abstract: 111 views PDF (Bahasa Indonesia): 94 downloads














