Computer Journal

Pengembangan Game Edukasi Berbasis GDevelop untuk Meningkatkan Pemahaman Murid dalam Materi Sistem Komputer

Valerian Permana Sukma — 2026-02-10

This study aims to develop and test the effectiveness of GDevelop-based educational games in improving students' understanding of computer systems material. The research employed the Research and Development (R&D) method using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The developed product is an interactive educational game featuring a Pair Game concept, where students match computer component images with their corresponding descriptions or functions, complemented by a quiz system and immediate feedback mechanism. The research subjects consisted of grade X students from SMAN 3 Kota Tasikmalaya. Data were collected through validation by media experts and material experts, learning outcome tests (pre-test and post-test), and student response questionnaires. The findings revealed that the media obtained a feasibility score of 81% from media experts and 75% from material experts, both falling within the highly feasible category. The effectiveness test demonstrated a significant increase in student understanding with an N-Gain value of 0.73, categorized as high. The GDevelop-based educational game proved to be feasible and effective as a learning medium for enhancing students' understanding of computer systems material.

Rancang Bangun Game Edukasi Drag and Drop Berbasis GDLC untuk Peningkatan Pemahaman Materi Profesi Peserta Didik Sekolah Dasar

Rezqi Ramdhani — 2026-02-10

This research aims to design, develop, and test the feasibility and effectiveness of a Drag and Drop educational game (ProFuzzle) for improving first-grade elementary students' understanding of professions material. The primary challenge addressed is the scarcity of interactive media aligned with children's concrete operational cognitive development stage. The study employs a Research and Development (R&D) approach with a One-Group Pretest-Posttest design, utilizing the Game Development Life Cycle (GDLC) as the development framework. Data collection instruments include expert validation questionnaires and pretest-posttest assessments. Results show that ProFuzzle is deemed highly feasible as a learning medium, with an average expert validation score exceeding 80%. Regarding effectiveness, the game demonstrates statistically significant improvement in student understanding, evidenced by a high N-Gain score and significant t-test results. Student feedback also reflects highly positive responses. The Drag and Drop educational game developed through the GDLC method proves to be an effective, feasible, and innovative alternative medium for teaching professions material to elementary school students

Sistem Monitoring Level Air Galon Berbasis IoT Menggunakan Sensor Berat (Load Cell)

Alina Rusmiza — 2026-02-10

This study develops an Internet of Things (IoT)-based monitoring system to measure water levels in gallon containers using a load cell as the primary weight sensor. The system enables users to monitor remaining water in real time and prevent unexpected shortages during daily activities. The method involves assembling hardware consisting of a load cell and an ESP32 microcontroller, followed by a calibration process to ensure accurate weight measurements. Programmed through the Arduino IDE, the ESP32 wirelessly transmits processed sensor data to a cloud platform such as Google Sheets or a hosting service for storage and management. Water levels are visualized through a web-based dashboard that presents data in a clear and accessible format. A notification feature alerts users when the gallon reaches a predefined minimum threshold. Experimental results show that the sensor consistently detects weight changes with stable performance throughout the monitoring process. The dashboard successfully displays real-time data reflecting the actual gallon condition. Overall, the system offers an effective and practical solution for automated water-level monitoring in households, offices, and small businesses.

Peringatan Pintu Belum Tertutup Menggunakan Sensor Magnetik (Reed Switch) dan ESP32

Sutha Dani — 2026-02-10

Forgetting to close a door may seem like a small thing, but it can cause security issues and reduce comfort levels in homes and workplaces. To address this issue, researchers created a system that automatically detects door status. The system uses a Reed Switch magnetic sensor to check whether a door is open or closed, and uses an ESP32 module to process the data and control the output. The design process included circuit construction, programming the ESP32, and testing how well the sensor responds at different distances from the magnet. When the door is opened, the Reed Switch sends a signal to the ESP32, which then triggers a buzzer alarm. Tests showed that the system works in real time with fast response and good stability under various door movement conditions. The device continued to operate smoothly during long tests of up to 12 hours continuously. Experimental results showed that the sensor works very accurately without much noise interference, while the ESP32 executes its logic state stably even when affected by other environmental factors such as vibration and temperature changes. The system has a simple design, low cost, and uncomplicated installation, making it suitable for homes, offices, or other places that require an automatic reminder of a door being left open. This prototype can also be upgraded with Wi-Fi in the future to enable notifications to be sent remotely via a mobile app. The research shows that the combination of the Reed Switch and the ESP32 can effectively improve security by reducing user errors in everyday activities.

Implementasi Sistem IoT Berbasis Deteksi Bunyi Menggunakan Sensor Suara untuk Otomatisasi Pencahayaan Rumah

M. Rifqi Yudi Prayoga — 2026-02-10

Recent developments in the technology of the Internet of Things (IoT) have led to a more convenient and contactless home automation system. This paper presents an IoT-based home lighting automation system using KY-038 sound detection as a trigger. The functioning principle is based on sound intensity exceeding a certain threshold, which is then processed by an ESP32 microcontroller to control lighting via Wi-Fi in real-time without the need for physical switches. This does not relate to any voice recognition system that uses cloud-based processing, but rather provides simplicity and faster response time through local processing. Testing was done on the performance of the system with variations in distance and sound intensity, where each scenario was repeated 10 times for validation purposes Experimental results show that detection accuracy of 90-100% up to 3 meters with response times between 0.8-1.1 seconds. The system has been tested indoors under conditions of low to moderate ambient noise levels and found reliable operation. It can be integrated with IoT platforms for remote monitoring as well as manual control from mobile applications. This implementation will be very convenient for users especially those having limited mobility and can support energy efficiency in smart home environments by activating lights only when necessary.

Implementasi Sistem Peringatan Banjir Dini dengan Sensor HC-SR04 Berbasis ESP32 Internet of Things

Sujono Sujono — 2026-02-10

Floods are natural disasters that often occur in Indonesia and sometimes cause great material and human losses. This paper describes the design and implementation of an IoT-based flood early warning system using ESP32 microcontroller and HC-SR04 ultrasonic sensor technology. The system is capable of automated river water level measurements at 5 minutes interval with real-time data sent to a web-based monitoring dashboard. Field validation was conducted in a quantitative experimental study at a river dam facility located in Jombang Regency. Performance testing results show that the system has high reliability, achieving 98.63% data transmission success rate. The HC-SR04 sensor has measurement accuracy of 97.69% with Mean Absolute Error (MAE) value equal to 2.31%. The warning mechanism works by comparing the water level with certain thresholds so that the dashboard can display safe or alert status conditions based on measurements made by the HC-SR04 sensor. Experimental results prove that this system is effective and economically feasible as a flood early warning solution for vulnerable regions, enhancing disaster preparedness capabilities significantly.