cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Findra Kartika Sari Dewi
Contact Email
findra.dewi@uajy.ac.id
Phone
+6289669292888
Journal Mail Official
jiaj@uajy.ac.id
Editorial Address
Prodi Informatika UAJY, Kampus 3, Jalan Babarsari Nomor 43, Sleman 55281
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
Jurnal Informatika Atma Jogja
Published by Universitas Atma Jaya Yogyakarta
ISSN : -     EISSN : 28285816     DOI : https://doi.org/10.24002/jiaj.v5i2.8852
Core Subject : Science,
Computer Science & IT
We aim to share high-quality research in Informatics, providing valuable insights and innovations for academics, IT specialists, computer scientists, and industry practitioners. We strive to encourage a lively knowledge exchange within the global IT community. Jurnal Informatika Atma Jogja publishes original research articles and systematic reviews in Informatics. Informatics involves studying the design, development, and management of informatics systems and technologies to support organizational and societal goals. The journal covers a wide range of topics, including: Computational Science Graphics and Visualization Human-Computer Interaction Information Management Information Assurance and Security Platform-based Development Parallel and Distributed Computing Software Engineering
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 143 Documents
 11   12   13   14   15 
Pengembangan Sistem Rekomendasi Merchandise K-Pop dengan Content-Based Filtering dan Scraping Data: Indonesia Edmond Sorensen; Wilfridus Bambang Triadi Handaya; Bekty Tandaningtyas Sundoro
Jurnal Informatika Atma Jogja Vol. 7 No. 1 (2026): Jurnal Informatika Atma Jogja - Mei
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jiaj.v7i1.14252

Abstract

The rapid growth of Hallyu and K-Pop has increased demand for merchandise, but Hearteuhearteu Store still determines purchases manually without systematic processing of product performance data, resulting in the risk of inaccurate procurement. This study developed a K-Pop merchandise recommendation system based on Shopee Seller Center data to help sellers determine the type and quantity of goods objectively and structurally, with popularity trends as support. The system utilizes product performance data to generate relevant merchandise recommendations and supports dynamic updates to recommendations based on the latest data. System evaluation results shows that K = 5 provides the best performance compared to other parameters, with Coverage 0.983333 and Average Distance 0.345484. Additionally, black box testing on 31 respondents achieved a 100% success rate, and usability scored 4.9687, so the system is considered accurate, effective, and easy to use in supporting store purchasing decisions.   Pesatnya perkembangan Hallyu dan K-Pop meningkatkan permintaan merchandise, namun Toko Hearteuhearteu masih menentukan pembelian secara manual tanpa pengolahan data performa produk yang sistematis, sehingga berisiko terjadi ketidaktepatan pengadaan. Penelitian ini mengembangkan sistem rekomendasi merchandise K-Pop berbasis data Shopee Seller Center untuk membantu penjual menentukan jenis dan jumlah barang secara objektif dan terstruktur, dengan tren popularitas sebagai pendukung. Evaluasi menunjukkan K = 5 memberikan performa terbaik dengan Coverage 0,983333 dan Average Distance 0,345484. Pengujian black box pada 31 responden mencapai tingkat keberhasilan 100%, serta usability memperoleh skor 4,9687, sehingga sistem dinilai akurat, efektif, dan mudah digunakan dalam mendukung keputusan pembelian toko.
Pengembangan Sistem Booking Tour & Travel Berbasis Web Dengan Perhitungan Harga Berdasarkan Jarak Dan Notifikasi Real-Time Iqbal Firmansyah Adinda; Joanna Ardhyanti Mita Nugraha; Stephanie Pamela Adithama
Jurnal Informatika Atma Jogja Vol. 7 No. 1 (2026): Jurnal Informatika Atma Jogja - Mei
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jiaj.v7i1.14385

Abstract

The tour and travel industry in Pangandaran still faces challenges in manual booking management, delayed confirmations, and price transparency, which impact operational efficiency and customer satisfaction. These challenges require a digital system capable of integrating all service processes automatically and in real time.The development of a web-based booking system for Yon’s Trans Tour & Travel aims to improve efficiency and service quality through automated price calculation based on travel distance and real-time notifications. The system is built using the waterfall development method, implemented with Next.js on the frontend and NestJS on the backend, and integrated with the Midtrans payment gateway. The research includes analysis, system design, implementation, and black-box testing. The test results show that all features function according to user requirements, and over 80% of respondents agree that the system enhances user convenience and transparency.Industri tour & travel di Pangandaran masih menghadapi kendala dalam pengelolaan pemesanan yang dilakukan secara manual, keterlambatan konfirmasi, dan ketidaktransparanan harga yang berdampak pada efisiensi operasional dan kepuasan pelanggan. Permasalahan ini menuntut adanya sistem digital yang mampu mengintegrasikan seluruh proses layanan secara otomatis dan real-time. Pengembangan sistem booking berbasis web untuk Yon’s Trans Tour & Travel bertujuan meningkatkan efisiensi dan kualitas layanan melalui perhitungan harga otomatis berdasarkan jarak perjalanan serta notifikasi real-time. Sistem dikembangkan menggunakan metode Waterfall, dengan implementasi Next.js pada sisi frontend dan NestJS pada sisi backend, serta integrasi pembayaran melalui Midtrans. Tahapan penelitian meliputi analisis, perancangan sistem, implementasi, dan pengujian black-box. Hasil pengujian menunjukkan seluruh fitur berjalan sesuai kebutuhan pengguna, dan lebih dari 90% responden menyatakan sistem ini meningkatkan kemudahan dan transparansi pengguna.
Pembangunan Sistem Informasi Manajemen Peternakan Ayam Berbasis Multiplatform William Darmawan; Fedelis Brian Putra Prakasa; Benyamin Langgu Sinaga
Jurnal Informatika Atma Jogja Vol. 7 No. 1 (2026): Jurnal Informatika Atma Jogja - Mei
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jiaj.v7i1.14399

Abstract

Large-scale broiler chicken farming industries often operate with thin profit margins. Manual recording frequently leads to inaccurate data that is unavailable in real-time. This study aims to design a multi-platform Management Information System (MIS) integrated with computer vision technology to enhance operational efficiency, improve production data accuracy, and create a user-friendly system. The system development applies the Waterfall method, utilizing Flutter for desktop and mobile apps, Golang for the backend, and PostgreSQL for the database.Integrating a pre-trained computer vision model via poultry house CCTV automates the estimation of chicken population and mortality. Research results demonstrate the successful integration of four modules: Production Monitoring, Supply Chain Management, Finance and Accounting, and Sales and Distribution. Simulation testing proves potential for improved efficiency and accuracy, supported by usability evaluations indicating good user acceptance. However, this study remains limited to simulated environments, where detection accuracy relies heavily on lighting conditions and camera quality. Industri peternakan ayam broiler berkapasitas produksi besar sering beroperasi dengan margin keuntungan tipis. Pencatatan manual kerap memicu data yang tidak akurat dan tidak tersedia secara real-time. Penelitian ini bertujuan merancang Sistem Informasi Manajemen (SIM) multi-platform terintegrasi teknologi computer vision untuk meningkatkan efisiensi operasional, akurasi data produksi, serta menghasilkan sistem yang user-friendly. Pengembangan sistem menerapkan metode Waterfall, menggunakan Flutter untuk aplikasi desktop dan mobile, Golang pada backend, serta PostgreSQL sebagai basis data. Sistem ini mengintegrasikan pre-trained model computer vision melalui CCTV kandang untuk mengotomatisasi estimasi populasi dan mortalitas ayam. Hasil penelitian menunjukkan keberhasilan integrasi empat modul: Production Monitoring, Supply Chain Management, Finance and Accounting, serta Sales and Distribution. Pengujian simulasi membuktikan potensi peningkatan efisiensi dan akurasi, didukung oleh evaluasi usability dengan tingkat penerimaan pengguna yang baik. Namun, penelitian masih dibatasi pada lingkungan simulasi, di mana akurasi deteksi sangat bergantung pada kondisi pencahayaan dan kualitas kamera.

Page 15 of 15 | Total Record : 143

 11   12   13   14   15 

Filter by Year

2020 2026


Reset
Filter By Issues
All Issue Vol. 7 No. 1 (2026): Jurnal Informatika Atma Jogja - Mei Vol. 6 No. 2 (2025): Jurnal Informatika Atma Jogja - November Vol. 6 No. 1 (2025): Jurnal Informatika Atma Jogja - Mei Vol. 5 No. 2 (2024): Jurnal Informatika Atma Jogja - November Vol. 5 No. 1 (2024): Jurnal Informatika Atma Jogja - Mei Vol. 4 No. 2 (2023): Jurnal Informatika Atma Jogja - November Vol. 4 No. 1 (2023): Jurnal Informatika Atma Jogja - Mei Vol. 3 No. 2 (2022): Jurnal Informatika Atma Jogja - November Vol. 3 No. 1 (2022): Jurnal Informatika Atma Jogja - Mei Vol. 2 No. 2 (2021): Jurnal Informatika Atma Jogja - NOVEMBER Vol. 2 No. 1 (2021): Jurnal Informatika Atma Jogja - MEI Vol. 1 No. 1 (2020): Jurnal Informatika Atma Jogja - November More Issue