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All Journal Query : Jurnal Sistem Informasi JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal UNITEK Jurnal Abdimas Bina Bangsa INCODING: Journal of Informatics and Computer Science Engineering Prosiding Snastikom PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Computer and Technology
Siti Sundari
Universitas Harapan Medan
Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Penerapan Teknologi Virtual Reality 360ᴼ Sebagai Media Promosi Gor Alfaka Raya Berbasis Android Mahyahya Hasfi Syah; Siti Sundari
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.496

Abstract

The development of digital technology today opens new opportunities in the field of promotion, one of which is through Virtual Reality (VR) technology. This study aims to implement 360° VR technology as a promotional media for GOR Alfaka Raya based on Android. The method used is the Multimedia Development Life Cycle (MDLC) with six stages: concept, design, material collecting, assembly, testing, and distribution. The result of this research is an Android application that displays interactive 360° VR views of GOR Alfaka Raya areas such as the badminton court, stands, and parking lot. This application allows users to virtually see the GOR facilities without having to visit the location directly, making the promotion more attractive, modern, and effective. It is expected that this application can increase public interest in visiting GOR Alfaka Raya and become an alternative promotional media that is interactive and informative. The results of the study conducted on 20 respondents showed that 52.4% found the application easy to use, 57.1% stated that the 360° view was helpful, and 57.1% felt that the application was fun and interesting to use. Furthermore, 76.2% were interested in using the 360° VR, 52.4% liked the location-switching feature, and 47.6% preferred to visit the sports hall directly. Additionally, 57.1% thought the application was visually appealing, 66.7% said it ran smoothly without lag, and 71.4% agreed that it was suitable for promotional purposes.
Penerapan Game Pembelajaran Pengenalan Alat-Alat Jaringan Komputer Menggunakan Algoritma Depth First Search (DFS) Fauzah Aulia; Siti Sundari; Fera Damayanti
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.636

Abstract

Penggunaan alat jaringan komputer yang efektif dan efisien sangat penting dalam pengelolaan infrastruktur jaringan. Aplikasi pengenalan alat-alat jaringan komputer berbasis Android yang menggunakan algoritma Depth First Search (DFS) dikembangkan untuk mempermudah pengguna dalam mengenali berbagai perangkat jaringan. Algoritma DFS memungkinkan aplikasi menjelajahi dan mengidentifikasi perangkat jaringan secara cepat dan akurat. Aplikasi ini memberikan aksesibilitas tinggi melalui platform Android dan dirancang untuk mendukung proses pembelajaran interaktif. Pengujian aplikasi menunjukkan hasil yang positif, dengan kemampuan identifikasi yang akurat dan mudah digunakan oleh berbagai tingkat pengguna. Aplikasi ini diharapkan dapat menjadi alat bantu yang efektif dalam pendidikan dan pelatihan terkait jaringan komputer, sekaligus memberikan kontribusi signifikan dalam meningkatkan pengetahuan dan keterampilan di bidang teknologi informasi. Implementasi dan pengembangan lebih lanjut dapat mencakup penambahan fitur interaktif serta integrasi teknologi kecerdasan buatan untuk memperkaya pengalaman pengguna.
PERANCANGAN SISTEM PREDIKSI VOLUME EKSPOR PISANG , KOPI DAN KELAPA SUMATERA UTARA KE MALAYSIA MENGGUNAKAN METODE ARIMA BERBASIS WEB Muhammad Wahyu Hidayat; Siti Sundari
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 1 (2026): Juni 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i1.870

Abstract

The adoption of information technology in predictive systems is increasingly popular in the agricultural export sector, leveraging historical data analysis to forecast global market fluctuations and optimize supply chains for commodities such as bananas, coffee, and coconuts. Exporters in North Sumatra face challenges related to fluctuating export volumes to Malaysia, influenced by seasonal factors, international price changes, weather dependency, and a lack of accurate data. This results in supply imbalances, economic losses, and difficulties in strategic planning. This research offers a solution by employing the Autoregressive Integrated Moving Average (ARIMA) method in the development of a web-based system to address these issues. ARIMA is a statistical time series model that combines autoregressive (AR) components for dependencies on previous values, integrated (I) components to handle non-stationarity through differencing, and moving average (MA) components to predict the influence of past errors; its seasonal variant (SARIMA) is applied to capture monthly harvest cycle patterns. The developed solution involves processing historical export data from 2019–2024 sourced from the Central Bureau of Statistics (BPS) via a Python Flask API with an automated ARIMA approach, integrated into a PHP CodeIgniter 4 web platform, providing interactive visualizations, real-time data updates, and easy user access. The expected outcomes from this system are more accurate export volume predictions, with a MAPE of approximately 19.02% and MAE of 180,755.28 tons on 2024 test data for bananas as a representative sample, which can support strategic decision-making, production efficiency, and enhanced competitiveness for banana, coffee, and coconut exports from North Sumatra to Malaysia.
Co-Authors Ade Irwan Agung Bardansyah Hasibuan Anakanda Bungsu Panogari Lubis Andy Syahputra Asih, Munjiat Setiani Dara Adistia Ayuna Dhana Hervia Siregar Didik Maulana Eko Prabowo Fauzah Aulia Fera Damayanti Gita Amanda Haida Dafitri Khairunnisa, Khairunnisa Mahyahya Hasfi Syah Mardiana Muhammad Al Hafis Nst Muhammad Jafar Siddik Simanjuntak Muhammad Ridho Muhammad Wahyu Hidayat Musbar Harahap Risko Liza Rismayanti Rismayanti Rismayanti Suriati Syahputri, Nenna Irsa Wahyuda Adios Zul Pratama Yuyun Dwi Lestari