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Aiti: Jurnal Teknologi Informasi
Published by Universitas Kristen Satya Wacana
ISSN : 16938348     EISSN : 26157128     DOI : https://doi.org/10.24246/aiti
Core Subject : Science,
Computer Science & IT
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, including but not limited to: Cryptography Networking Internet of Things Big Data Data Science Software Engineering Information System Web Programming Mobile Application Service System Artificial Intelligence Digital Image Processing Machine Learning Deep Learning Geographic Information System Context Aware System Management Information System Software-defined Network
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 161 Documents
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Sistem Informasi Gereja terpadu berbasis web dengan framework CodeIgniter 4 Norotama, Unggul Prabowo; Chernovita, Hanna Prillysca
AITI Vol 23 No 1 (2026)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v23i1.14-30

Abstract

This study focuses on development of a web-based information system for Father House Community Church (FHCC) in Salatiga, using the CodeIgniter 4 framework. The system is designed to support the digital management of church activities, including congregation data management, dissemination of church information, cell group (iCare) mapping, and the provision of daily devotionals in a digital format. The research applies a system development approach based on the Model-View-Controller (MVC) architecture, which separates the application logic, data management, and user interface to improve system development efficiency. The system development includes requirements analysis, system design, implementation, and testing to ensure that the application meets the needs of users. The results show that the developed system effectively improves the efficiency and accuracy of congregation data management while facilitating better communication between the church administration and its members. Moreover, the web-based platform allows users to access church information and services in real time through a browser without requiring additional software installation, thereby improving accessibility, usability, and overall service quality.
Analisis manajemen risiko pada e-learning SMAN 1 Ambarawa dengan menggunakan ISO 31000:2018 Isabel, Hesni Joice Isabel Br; Tanaamah, Andeka Rocky; Muttamaqin , Akhmad
AITI Vol 23 No 1 (2026)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v23i1.1-13

Abstract

This study aims to identify the main risks faced by SMAN 1 Ambarawa, evaluate the extent to which these risks are currently managed, and develop strategic recommendations to overcome existing obstacles and potential future risks. The framework used in this research is ISO 31000:2018 risk management framework. This research employs a qualitative approach, particularly through interviews with relevant stakeholders, to identify and analyze the problems that may affect school operations. Through this qualitative approach, various existing and potential risks can be systematically identified and analyzed. The identified risks are then analyzed and categorized into three levels: low, medium, and high risk, based on their likelihood and impact. Furthermore, appropriate risk treatment strategies are proposed for each identified risk to minimize negative consequences and improve institutional preparedness. The results of this study provide practical recommendations for SMAN 1 Ambarawa in managing risks and in developing preventive strategies to reduce the possibility of future disruptions in school activities and management processes.
Klasifikasi motif Batik Keraton menggunakan arsitektur fine-tuning ResNet-50. Santosa, Stefaron Budhi; Chrismanto , Antonius Rachmat; Susanto, Budi
AITI Vol 23 No 1 (2026)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v23i1.46-60

Abstract

Batik is an Indonesian cultural heritage known for its diverse motifs; however, manual classification of these motifs remains a significant challenge. This study aims to develop a batik motif classification model using the ResNet50 architecture enhanced with data augmentation to improve model accuracy. The dataset consists of four batik motif classes: Kawung, Mega Mendung, Parang, and Truntum. In this research, the model was trained using fine-tuning on ResNet50, with additional CNN layers for feature extraction. The results demonstrated that the proposed model achieved a highest accuracy of 97.80% on test data and 96.80% on validation data, significantly outperforming methods without data augmentation. Researchers will also compare accuracy with other deep learning models for classifying Keraton Batik images. This study concludes that applying a fine-tuned ResNet50 model with additional CNN layers and data augmentation effectively classifies batik motifs, offering substantial potential to automate batik motif recognition and supports digital preservation and development of batik in the cultural and creative industries.
Penerapan desain interaksi pada perancangan e-commerce pabrik sepatu lokal LeePoure sebagai strategi untuk meningkatkan penjualan Supono, Intan Marcelia; Wahyono, Teguh
AITI Vol 23 No 1 (2026)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v23i1.31-45

Abstract

The rapid growth of the e-commerce industry in Indonesia is driven by several factors, including increased availability of internet access and changing consumer behavior. As a local shoe factory, LeePoure faces the challenge of developing and transforming its e-commerce platform to improve customer experience and increase online sales. Therefore, the purpose of this study is to analyze and design an effective interaction design for LeePoure's independent e-commerce platform with a User-Centered Design (UCD) approach. The research process involves user interviews to understand user needs and expectations, persona analysis to represent key user characteristics, prototyping, and usability testing to evaluate the effectiveness and usability of the proposed design. The results show that an interface design that emphasizes intuitive navigation, responsive display, and security of the transaction features can significantly enhance user convenience and satisfaction. These improvements are expected to support higher user engagement, increase online sales performance, and strengthen LeePoure’s competitiveness in the increasingly competitive e-commerce market.
Sistem pakar deteksi dini kesehatan mental mahasiswa dengan metode Forward Chaining Izdiana, Alvi Zumaela; Hardiani, Tikaridha
AITI Vol 23 No 1 (2026)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v23i1.117-133

Abstract

Mental health is a crucial aspect that significantly influences individuals' daily lives. Data from the 2023 mental health screening conducted by the Psychology Service Bureau (BLP) of Universitas 'Aisyiyah Yogyakarta showed that 16.8 percent of students experienced indications of mental health disorders out of a total of 857 participants. The screening process was conducted using Google Forms. However, this method has several limitations, particularly the inability to directly assess mental health status or provide immediate feedback to participants after completing the screening. Students may not receive timely information regarding their mental condition or recommendations for further action. This study aims to develop a web-based expert system that uses the Forward-Chaining method to determine a person's mental condition. The system is developed using Expert System Development Life Cycle (ESDLC), which includes knowledge acquisition, system design, implementation, and testing stages. After functional and accuracy testing, the results indicate that the system is ready for use, achieving 100 percent accuracy in detecting indicators of mental health issues among college students.
Pemanfaatan algoritma Convolutional Neural Network (CNN) untuk klasifikasi jenis noken Rosyidah, Wahyuni Fajrin; Suhendra, Christian Dwi; Lion Ferdinand , Lion Ferdinand
AITI Vol 23 No 1 (2026)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v23i1.89-105

Abstract

Noken merupakan tas tradisional khas Papua yang memiliki nilai budaya tinggi dan telah diakui sebagai Warisan Budaya Takbenda oleh UNESCO. Keanekaragaman jenis noken berdasarkan motif, bentuk, dan daerah asalnya menghadirkan tantangan dalam proses identifikasi yang hingga kini masih dilakukan secara manual. Penelitian ini bertujuan untuk membangun sistem klasifikasi citra noken secara otomatis menggunakan Convolutional Neural Network (CNN) dengan pendekatan transfer learning. Tiga arsitektur CNN yang digunakan dalam penelitian ini adalah VGG16, InceptionV3, dan MobileNetV2. Dataset terdiri dari 500 citra noken, yang terdiri dari dua jenis noken yaitu Bitu Agia dan Junum Ese. Proses pelatihan dilakukan menggunakan library TensorFlow dengan parameter terbaik. Evaluasi dilakukan dengan menggunakan metrik accuracy, precision, recall, dan F1-score, serta grafik visualisasi akurasi dan loss. Hasil penelitian menunjukkan bahwa MobileNetV2 memberikan performa terbaik dengan akurasi 97 persen, disusul oleh InceptionV3 sebesar 96 persen, dan VGG16 sebesar 87 persen. Penelitian ini menunjukkan bahwa pendekatan deep learning efektif dalam klasifikasi citra objek budaya, serta dapat mendukung pelestarian budaya Papua secara digital.
Analisis komparatif kinerja HAProxy dan Zevenet pada infrastruktur web server Bare-Metal Linux Nursafaat, Maulachusnan; Mustofa, Hery; Yuniarti, Wenty Dwi; Umam, Khothibul
AITI Vol 23 No 1 (2026)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v23i1.106-116

Abstract

As systems demand high speed, stability, and the ability to handle large volumes of traffic, selecting an appropriate load-balancing solution becomes a critical aspect of infrastructure design. This study aims to compare the performance of two open-source load balancers, HAProxy and Zevenet, implemented on a Linux-based bare-metal web server infrastructure. The experiment was conducted using two identical backend servers and the wrk benchmarking tool, configured for five-minute tests, 1000 concurrent connections, and twelve repetitions per platform. The evaluation metrics included average latency, request throughput, and the number of timeout errors during the testing period. The results show that HAProxy achieved lower average latency (261.97 ms), higher throughput (1076.68 RPS), and fewer timeout errors (37,742) than Zevenet. While Zevenet offers a more user-friendly graphical interface, HAProxy proved more efficient and stable under high traffic. This study provides practical insights for implementing effective load balancing in non-virtualized systems with limited resources and high-performance demands.
Mengeksplorasi penggunaan Generatif AI Gen-Z dalam kreativitas musik menggunakan pendekatan difusi inovasi: Wawasan dari Papua Watofa, Charlie Christofel; Juita, Ratna; Inan, Dedi I.; Indra, Muhamad
AITI Vol 23 No 1 (2026)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v23i1.134-151

Abstract

Penelitian ini mengkaji pemanfaatan alat musik berbasis kecerdasan buatan (AI) dalam evaluasi hasil belajar kognitif dan kreativitas musik pada Gen-Z. Menggunakan pendekatan Diffusion of Innovation (DOI), studi ini menganalisis adopsi dan persepsi Gen-Z terhadap teknologi AI dalam penciptaan dan produksi musik digital. Meski penggunaan AI dalam pendidikan berkembang pesat, kajian tentang dampaknya terhadap pembelajaran musik berbasis kognisi masih terbatas, khususnya di Indonesia. Data dikumpulkan melalui survei daring terhadap responden Gen-Z di Papua. Penelitian mengevaluasi pengaruh karakteristik inovasi seperti keunggulan relatif, kemudahan penggunaan, dan kesesuaian teknologi terhadap hasil belajar. Analisis R-square menunjukkan kontribusi moderat AI dengan nilai CA = 0,354; CL = 0,473; CP = 0,489; dan LO = 0,591. Hasil menunjukkan bahwa AI tidak hanya meningkatkan keterlibatan kognitif tetapi juga memperkuat kreativitas musikal peserta. Temuan ini mendukung pengembangan sistem pembelajaran berbasis teknologi dalam pendidikan musik digital yang lebih adaptif dan inovatif.
Pengembangan model klasifikasi kualitas sarang burung walet berbasis CNN dengan transfer learning MobileNetV2 Anas, Hasni; Kusrini, Kusrini
AITI Vol 23 No 1 (2026)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v23i1.73-88

Abstract

Kualitas sarang burung walet merupakan faktor penting dalam menentukan nilai jual, sehingga diperlukan sistem klasifikasi yang akurat dan otomatis. Penelitian ini bertujuan mengembangkan model klasifikasi mutu sarang burung walet menggunakan algoritma Convolutional Neural Network (CNN) dengan pendekatan transfer learning berbasis arsitektur MobileNetV2. Dataset yang digunakan terdiri atas 3.406 citra sarang burung walet yang diperoleh langsung dari petani, kemudian diproses melalui augmentasi agresif dan penghapusan latar belakang guna menyoroti objek utama. Data dibagi secara seimbang ke dalam data pelatihan sebanyak 2.723 citra dan data validasi sebanyak 683 citra, mencakup tiga kelas kualitas: tinggi, sedang, dan rendah. Model dilatih dalam dua tahap, yaitu pelatihan awal (frozen base) dan fine-tuning. Hasil evaluasi menunjukkan peningkatan akurasi dari 93% menjadi 97% setelah proses fine-tuning, dengan nilai precision, recall, dan F1-score rata-rata sebesar 0,97. Hasil confusion matrix memperlihatkan akurasi klasifikasi yang tinggi dan prediksi dominan berada pada diagonal utama. Penelitian ini berkontribusi dalam mengembangkan sistem klasifikasi mutu sarang burung walet berbasis citra dengan akurasi tinggi melalui integrasi pra-pemrosesan berbasis kontur, augmentasi data, dan optimasi arsitektur CNN. Model yang dihasilkan berpotensi untuk diimplementasikan pada industri guna mendukung proses penyortiran sarang burung walet secara objektif dan efisien.
Implementasi sistem monitoring pegawai pada Dinas PUPR Kabupaten Buru Selatan dengan pendekatan Soft System Methodology Nanariain, Lerry Godwin; Prasetyo, Sri Yulianto Joko
AITI Vol 23 No 1 (2026)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v23i1.163-175

Abstract

Sumber daya manusia memainkan peran penting dalam mendukung pertumbuhan dan perkembangan suatu organisasi, sehingga peningkatan disiplin karyawan menjadi faktor penting dalam mencapai kinerja organisasi yang optimal. Pemerintah Indonesia telah menetapkan Peraturan Pemerintah Republik Indonesia Nomor 94 Tahun 2021 tentang ketentuan umum disiplin Pegawai Negeri Sipil. Namun, Dinas Pekerjaan Umum dan Perumahan Rakyat (PUPR) menghadapi masalah banyaknya karyawan yang tidak disiplin, yang menyebabkan kecurangan absensi yang signifikan. Dari data terlihat bahwa keterangan pegawai pada absensi berupa Ijin, Sakit, dan Alpa dalam setiap tahunnya selalu terjadi peningkatan. Studi ini menggunakan metodologi sistem lunak (SSM), yang berperan penting dalam pemetaan dan konseptualisasi model. Dari studi ini, ditemukan bahwa terdapat faktor pendukung, termasuk peningkatan infrastruktur TI, yang juga menjadi prioritas untuk meningkatkan disiplin karyawan. Dari hasil penelitian direkomendasikan agar Dinas PUPR membangun sistem pemantauan karyawan menggunakan Radio Frequency Identification (RFID) dalam bentuk K-Dispens (Kartu Disiplin Pegawai Negeri Sipil), yang dapat digunakan oleh petugas untuk memantau karyawan selama jam kerja.

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