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All Journal IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Sains dan Teknologi
Bunga Khoeriah Utami
Universitas Singaperbangsa Karawang
Agriculture, Biological Sciences & Forestry Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Physics Transportation

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Sistem Internet Of Things (IoT) Untuk Pemantauan Kualitas Udara Dalam Ruangan Bunga Khoeriah Utami; Muhammad Rizqi Fajri; Johan; Annisya Dwi Chaerani
Jurnal Sains Dan Teknologi | E-ISSN : 3063-9980 Vol. 2 No. 2 (2025): Oktober - Desember
Publisher : GLOBAL SCIENTS PUBLISHER

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Abstract

Kualitas udara dalam ruangan memiliki peranan penting terhadap kesehatan dan kenyamanan manusia. Paparan gas berbahaya seperti karbon monoksida (CO), amonia (NH₃), dan senyawa organik volatil (VOC) dapat menimbulkan gangguan kesehatan jika tidak terpantau dengan baik. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem Internet of Things (IoT) berbasis mikrokontroler ESP32 dan sensor MQ-135 guna memantau kualitas udara dalam ruangan secara real-time. Sistem dirancang untuk membaca konsentrasi gas berbahaya, mengirimkan data ke server melalui protokol Message Queuing Telemetry Transport (MQTT), dan menampilkan hasil pengukuran pada dashboard web yang dapat diakses pengguna. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi perubahan konsentrasi gas dengan respons cepat dan mengirim data secara stabil ke broker MQTT publik (test.mosquitto.org). Sistem ini memberikan solusi efektif dan ekonomis dalam pemantauan kualitas udara, serta berpotensi dikembangkan lebih lanjut dengan integrasi notifikasi otomatis dan sistem kendali ventilasi cerdas.
Analisis Sentimen Lexicon-Based Penggunaan ChatGPT pada Siswa dan Guru SMAN 2 Klari Bunga Khoeriah Utami; Sofi Defiyanti; Mohamad Jajuli
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.v10i2.7153

Abstract

The development of Artificial Intelligence (AI) technology, particularly ChatGPT, has increasingly been utilized in learning activities. However, the perceptions of students and teachers regarding the use of ChatGPT in schools still need to be objectively mapped. This study aims to analyze the sentiments of students and teachers at SMAN 2 Klari toward the use of ChatGPT in learning activities using a Lexicon-based approach with the InSet sentiment lexicon. The research employed a quantitative approach using 777 responses collected from 742 students and 35 teachers through open-ended questionnaires. The research stages included data collection, preprocessing (case folding, text cleaning, tokenizing, stopword removal, slang word normalization, and stemming), Lexicon-based sentiment analysis, and evaluation using Fleiss’ Kappa and Confusion Matrix. The results showed that the majority of students expressed positive sentiment toward the use of ChatGPT in learning, accounting for 91.1%, while negative and neutral sentiments accounted for 6.9% and 2.0%, respectively. Among teachers, all respondents expressed positive sentiment, reaching 100%. The annotator evaluation using Fleiss’ Kappa obtained a score of 0.7745, categorized as Substantial Agreement, indicating strong agreement among annotators. Furthermore, the Confusion Matrix evaluation produced an accuracy of 79%, demonstrating that the Lexicon-based method performed reasonably well in classifying sentiments related to ChatGPT usage. Overall, the findings indicate that ChatGPT is perceived positively by both students and teachers as a technology that supports the learning process, although concerns remain regarding potential dependency and inappropriate use.
Co-Authors Annisya Dwi Chaerani Johan Muhammad Rizqi Fajri Sofi Defiyanti