Hudzaifah Nabil Amrullah
Universitas Singaperbangsa Karawang

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SISTEM MONITORING KUALITAS UDARA DALAM RUANGAN MELALUI DETEKSI GAS, SUHU, DAN KELEMBABAN BERBASIS IOT M. Ramadhan Syahrul Al Qodr; Hudzaifah Nabil Amrullah; Faris Fadhil Dhiaulhaq; Susilawati Sobur
Ar-Rasyid: Jurnal Publikasi Penelitian Ilmiah Vol. 1 No. 5 (2025): Ar-Rasyid: Jurnal Publikasi Penelitian Ilmiah (Bulan November 2025)
Publisher : PT. Saha Kreasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64788/ar-rasyid.v1i5.105

Abstract

This study aims to design and implement an indoor air quality monitoring system based on the Internet of Things (IoT) using the MQ-135 and DHT11 sensors. The MQ-135 sensor is employed to detect hazardous gases such as carbon monoxide (CO), carbon dioxide (CO₂), and volatile organic compounds (VOCs), while the DHT11 sensor measures temperature and humidity. Data from both sensors are processed by an ESP32 microcontroller and displayed locally through an OLED screen, as well as transmitted to the Blynk platform for remote monitoring. Testing was conducted in a room measuring approximately 8×6 meters under three conditions: normal air, cigarette smoke exposure, and post-smoking. The results show that gas concentration levels increased from 150–200 ppm (normal) to 800–900 ppm during smoking, then decreased to 450–550 ppm five minutes after the smoke dissipated. The system successfully monitored air quality changes in real-time with high sensitivity. These findings indicate that integrating IoT-based sensors provides an efficient and low-cost solution for indoor air quality monitoring.
GAME EDUKASI ADAPTIVE LEARNING UNTUK MENINGKATKAN MINAT BELAJAR PEMROGRAMAN C++ BAGI MAHASISWA Hudzaifah Nabil Amrullah; Adhi Rizal; Aji Primajaya
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7208

Abstract

C++ programming is a fundamental course in computer science education; however, its abstract nature and strict syntax lead to low student learning interest. Previous studies indicate that conventional learning approaches are one-size-fits-all and do not accommodate individual learning style differences. This study designs and implements an adaptive learning-based educational game called "Code Adventure" that integrates the Felder-Silverman Learning Style Model (FSLSM), Item Response Theory (IRT), and Dynamic Difficulty Adjustment (DDA) within the Unity 2D game engine. System development follows the Game Development Life Cycle (GDLC) with five stages: initiation, pre-production, production, testing, and release. Functionality testing employs black-box testing, while the effectiveness of learning interest improvement is measured through a pre-experimental one-group pretest-posttest design with convenience sampling of 19 students. Test results confirm that all adaptive learning features function according to specifications. N-Gain Score analysis yields an average value of 0.65 (medium category), indicating a significant improvement in C++ programming learning interest after using the adaptive educational game. These findings confirm that content personalization based on learning styles and dynamic difficulty adjustment can enhance student engagement and learning motivation