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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.
Online Training on Simple Website Development for Micro, Small, and Medium Enterprises in Desa Kelambir 5 Supiyandi Supiyandi; Mardiah Mardiah; Rismayanti Rismayanti; Arie Rafika Dewi; Siti Sundari
Jurnal Pengabdian Masyarakat Berdampak Vol. 2 No. 2 (2026): Mei 2026
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jupemba.v2i2.131

Abstract

Limited digital literacy is one of the main challenges faced by Micro, Small, and Medium Enterprises (MSMEs) in Kelambir 5 Village in developing their businesses and expanding market reach. Most MSME actors are not yet able to use websites effectively as digital promotional media. This community service activity aims to enhance MSMEs' digital skills through online training on simple website development as a technology-based marketing tool. The method employed was a practice-based online training approach comprising needs assessment, core training, mentoring, and evaluation. The participants were 25 MSME actors selected purposively. Evaluation was conducted using pre-test and post-test instruments, as well as product-based assessment of the websites created by participants. The results indicate a significant increase in participants' understanding from an average of 30% to 82%, representing a 52% improvement. Furthermore, 80% of participants successfully developed functional websites for business promotion. The activity also contributed to behavioral changes in adopting digital marketing strategies and showed early economic impact through broader market reach. Therefore, practice-based online training is proven effective in improving MSMEs' digital capacity in a measurable and sustainable manner.
Pengenalan Olahraga Squash Sebagai Media Interaktif Menggunakan Teknologi Augmented Reality (AR) Berbasis Android Andana Maulana Munggaran; Siti Sundari
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 4 No. 3 (2025): September 2025
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v4i3.251

Abstract

This research discusses the design and development of an interactive media application based on Augmented Reality (AR) technology to introduce the sport of squash to students. The developed Android-based application is capable of displaying 3D objects of squash equipment and basic techniques through predetermined markers. In addition to interactive visualization, this media is also equipped with supporting information, educational quizzes, and explanatory audio to enrich the user’s learning experience. The implementation results show that the use of Augmented Reality technology can enhance the understanding of squash in a more realistic and comprehensive way. The 3D visualization displayed through the camera provides a direct representation of squash techniques, while the interactivity in the form of descriptive texts and supporting audio makes the learning process more engaging, easier to understand, and able to foster students’ interest in the subject matter. Based on testing and questionnaire distribution, the application received positive feedback from users. A total of 94.44% of respondents gave positive assessments of the developed learning media, 5.56% responded neutrally, and none responded negatively. Thus, it can be concluded that AR-based learning media has been successfully designed and implemented as an effective and interactive tool, capable of improving learning motivation and providing a more attractive learning experience in understanding squash.
Penerapan Algoritma K-Nearest Neighbor Dalam Menentukan Kualitas Buah Jeruk Bali Musbar Fandi Harahap; Fera Damayanti; Siti Sundari
Jurnal Informatika Vol 12, No 3 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7804

Abstract

Grapefruit, large orange or pomelo (Citrus maxima) could be a native Indonesian fruit plant that has high economic value. Grapefruit is spread across various regions in Indonesia and has various types of fruit such as Bali Merah, Cikoneng, Nambangan, Raja, Ratu, and Pangkep. Grapefruit (Citrus maxima) is one of three types of local citrus besides Citrus medica and Citrus reticulate. Grapefruit grows in tropical areas so that grapefruit has the potential to be cultivated in Indonesia. The quality of grapefruit is usually obtained through selection by distinguishing contrast based on the characteristics of natural materials, calculating the dosage and shape of natural materials, the shape of the tip and base of natural materials, the color and surface of grapefruit fruit. flavedo (epicarp), viscosity and color of albedo (mesocarp), color of endocarp, color and taste of vesicles or natural product tissue, odor of essential oils, number of natural products per tree and number of seeds in each natural product. Test results using the grapefruit application in data mining processing using KNN calculations. In the data testing, the precision value was obtained:0.834, Classification precision:0.860, F1:0.860, accuracy:0.861, review:0.860 and MCC:0.720 on the test data.
Inovasi Mesin Batako Berbasis Iot Untuk Pengolahan Limbah Plastik Guna Mendukung Kemandirian Ekonomi Berkelanjutan Dodi Siregar; Siti Sundari; Ade Irwan; Ezzah Nahrisah
Dedikasi Sains dan Teknologi (DST) Vol. 5 No. 2 (2025): Artikel Pengabdian Nopember 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dst.v5i2.7611

Abstract

Kegiatan pengabdian masyarakat ini dilaksanakan di Desa Ujung Rambung, Kecamatan Pantai Cermin, Kabupaten Serdang Bedagai. Wilayah ini menghadapi permasalahan serius dalam pengelolaan limbah plastik dan keterbatasan teknologi tepat guna untuk pemberdayaan ekonomi masyarakat. Program ini bertujuan untuk mengembangkan inovasi mesin batako otomatis berbasis Internet of Things (IoT) dan optimalisasi produksi kompos sebagai solusi terpadu yang mendukung ekonomi sirkular desa. Metode pelaksanaan meliputi pelatihan manajemen organisasi, penerapan teknologi pengolahan limbah, serta pendampingan pemasaran digital. Hasil kegiatan menunjukkan peningkatan signifikan dalam manajemen kelompok, produksi kompos berkualitas, dan pemanfaatan limbah plastik menjadi batako ramah lingkungan. Selain itu, inovasi IoT memungkinkan pemantauan suhu dan tekanan produksi secara otomatis, meningkatkan efisiensi dan konsistensi mutu produk. Program ini berkontribusi terhadap peningkatan pendapatan masyarakat, pengurangan limbah, dan penciptaan lapangan kerja baru berbasis teknologi tepat guna.