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All Journal Journal Information & Computer (JICOM) Media Journal of General Computer Science (MJGCS)
Muhammad Gald Teary
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Other

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IoT-Based Fire Detection System Using ESP32 and Telegram Cahyadi, Hartanto Dwi; Tasmi; Muhammad Gald Teary; Ferdiansyah
Media Journal of General Computer Science Vol. 3 No. 1 (2026): MJGCS
Publisher : MASE - Media Applied and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62205/mjgcs.v3i1.146

Abstract

The increasing adoption of artificial intelligence (AI) in educational technology has created new opportunities to support second language (L2) writing development. Beginner English learners often struggle with grammatical accuracy, limited vocabulary, and unclear sentence construction, while immediate and individualized feedback remains difficult to provide in traditional learning settings. This study proposes a rule-based AI writing assistant designed to deliver automated, transparent, and interpretable feedback for beginner-level English writing without relying on data-intensive machine learning models. The system employs symbolic AI principles through predefined grammatical rules and heuristic textual metrics to evaluate writing quality across three dimensions: grammar accuracy, vocabulary richness, and text clarity. Grammar errors are detected using regular expression-based rules, vocabulary quality is measured via lexical diversity ratios, and clarity is estimated using a length-based heuristic. These metrics are normalized and combined to produce an overall writing quality score. To enhance usability and learner engagement, the system integrates visual feedback elements, including progress bars, graphical score representations, and animated character responses. Functional testing using sample beginner texts demonstrates that the proposed system effectively identifies common writing issues, provides consistent scoring, and delivers immediate, explainable feedback. The results indicate that rule-based AI, when combined with visual feedback mechanisms, can offer a lightweight, efficient, and pedagogically meaningful solution for beginner English writing support. This approach is particularly suitable for educational contexts that prioritize explainability, accessibility, and low computational requirements.
Jam LED Matrix Implementasi Algoritma Penjadwalan Pesan Dinamis pada Jam LED Matrix Berbasis Arduino Menggunakan Metode Research and Development Muhammad Raffi Fauzi; Muhammad Gald Teary; Tasmi
Journal Information & Computer Vol. 4 No. 1 (2026): Journal Information & Computer
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Jam digital konvensional umumnya hanya menampilkan informasi waktu secara statis tanpa adanya interaksi komunikatif dengan pengguna, sehingga perangkat tersebut kurang optimal dalam memberikan pengalaman pengguna yang humanis. Penelitian ini bertujuan untuk mengembangkan sistem jam LED matrix interaktif yang mampu menampilkan waktu dan pesan sapaan secara bergantian (interleaving) berdasarkan konteks waktu real-time. Metode yang digunakan adalah Research and Development (R&D) dengan model prototyping yang meliputi tahapan analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Sistem dikembangkan menggunakan mikrokontroler Arduino UNO yang terintegrasi dengan modul Real-Time Clock (RTC) DS3231 untuk akurasi waktu dan LED Matrix 8x32 piksel dengan driver MAX7219 sebagai media tampilan. Algoritma penjadwalan pesan dinamis dirancang untuk menentukan ucapan sapaan berdasarkan empat segmentasi waktu: pagi (04:00-09:59), siang (10:00-14:59), sore (15:00-17:59), dan malam (18:00-03:59). Hasil pengujian menunjukkan bahwa sistem berhasil melakukan transisi mulus antara mode tampilan jam dan pesan teks dengan efek animasi scroll left, serta mencapai akurasi pemicuan pesan sebesar 100% sesuai dengan rentang waktu yang telah ditentukan. Implementasi ini memberikan kontribusi pada pengembangan perangkat informasi display yang lebih komunikatif dan berorientasi pada interaksi manusia-komputer.
Co-Authors Cahyadi, Hartanto Dwi Ferdiansyah Muhammad Raffi Fauzi Tasmi