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PERANCANGAN MEDIA PEMBELAJARAN PENGENALAN BENDERA PADA ANAK KELAS 1 SDIT EL FATAH BERBASIS CONSTRUCT 2 Hamdan; Ofan Sofian; Ummy Kalsum; Rudianto; Neng Yuli Yana
INFOTECH journal Vol. 10 No. 2 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v10i2.10989

Abstract

This study aims to design and develop a learning application focused on introducing flags to first-grade students at SDIT EL Fatah. The application is designed using the Construct 2 platform, a tool that allows the development of interactive applications without requiring deep programming skills. This application integrates various interactive features that include learning materials, quizzes, user profiles, and usage instructions. The learning materials are presented in engaging and easy-to-understand slides, while the quizzes are designed to test and reinforce students' understanding of the material they have learned. The user profile feature allows students to track their learning progress, and the usage instructions provide clear guidance for navigating the application.The research method used is Research and Development (R&D), which includes steps such as identifying potential and problems, data collection, product design, design validation, design revision, product testing, product revision, and mass production. The results of this study indicate that this flag introduction learning application is effective in increasing students' interest and understanding of historical material. The application also received positive responses from teachers and students, indicating that the use of technology in learning can enhance student interaction and engagement.Therefore, this application is expected to become an innovative and effective learning solution, particularly in the context of primary education in Indonesia. This study also contributes to the development of technology-based learning methods that can be applied to various other subjects in primary schools
SIMULASI MODEL ANTREAN MENGGUNAKAN PENDEKATAN ALGORITMA FIFO DI KANTIN SEKOLAH (STUDI KASUS: SMA MANDIRI BALARAJA) Mochammad Darip; Ali Rohman; Rudianto; Gerald Untirtha Pratama; Muhamad Hidayatullah
INFOTECH journal Vol. 11 No. 1 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v11i1.13038

Abstract

Antrian panjang di kantin sekolah merupakan masalah yang perlu diatasi demi meningkatkan kenyamanan dan pelayanan kepada siswa. Dalam upaya mengatasi masalah tersebut, teknologi berbasis struktur data queue dengan pendekatan FIFO dapat dijadikan solusi, meski terlihat sederhana tetapi sangat efektif. Model ini memungkinkan simulasi dan pengelolaan antrian secara sistematis, sehingga siswa dapat dilayani lebih cepat dan adil. Simulasi ini memberikan gambaran tentang pola antrian, waktu tunggu rata-rata, dan efisiensi layanan, serta menjadi alat bantu bagi pengelola kantin dalam merancang sistem yang lebih baik. Penelitian ini mengumpulkan data dari kondisi aktual kantin selama jam istirahat, termasuk jumlah siswa yang mengantri, waktu transaksi, dan durasi antrian. Simulasi berbasis algoritma queue diterapkan untuk menganalisis berbagai skenario. Hasilnya menunjukkan bahwa algoritma FIFO mampu mengurangi waktu tunggu hingga 3% dengan tingkat keberhasilan sistem tetap stabil di angka 90% terutama saat jam sibuk.
PENERAPAN ARSITEKTUR EDGE INTELLIGENCE UNTUK REDUKSI LATENSI PADA SISTEM PEMANTAUAN INTERNET OF THINGS LOKAL Rudianto
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.796

Abstract

Internet of Things (IoT) real-time monitoring systems commonly rely on centralized cloud-based architectures for data processing and management. Although cloud computing offers flexibility and scalability, its dependency on remote servers often leads to latency issues, especially in local network environments with limited bandwidth and unstable internet connectivity. High latency can negatively affect system responsiveness and reduce the effectiveness of real-time decision-making. This study aims to implement an edge intelligence architecture to reduce latency in local Internet of Things-based monitoring systems. The proposed approach shifts part of the data processing and decision-making tasks to edge nodes located closer to data sources. Sensor data are processed locally using threshold-based analysis before being transmitted to the central server for storage and visualization purposes. System performance is evaluated by comparing latency and response time between a fully cloud-based IoT system and an edge intelligence-based system. The experimental results indicate that local data processing at the edge significantly reduces latency and improves system reliability, particularly in local network conditions. Therefore, the edge intelligence architecture is considered an effective solution for enhancing the performance of IoT monitoring systems that require fast and reliable responses.