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Smart Classroom Monitoring System Using IoT and AI to Improve Space Utilization in Higher Education

Journal of Advances in Information Systems and Technology · Vol. 7 No. 2 (2026) · hlm. 238–252

DOI
10.15294/jaist.v7i2.35430
ISSN
2715-999X, 2714-9714
Terbit
2026-03-21
Penerbit
Universitas Negeri Semarang
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0/

Abstrak

The rapid advancement of digital technology has encouraged higher education institutions to implement intelligent systems for improving facility management efficiency. This study focuses on the development and evaluation of a Smart Monitoring Class system that integrates Internet of Things (IoT) and Artificial Intelligence (AI) technologies to optimize classroom utilization. The system employs multiple sensors to monitor environmental parameters such as temperature, humidity, and illumination, as well as to detect occupancy in real time. The collected data are processed using AI algorithms to analyze room usage patterns and provide recommendations for scheduling and energy management. The research follows the System Development Life Cycle (SDLC) approach, including stages of requirement analysis, system design, implementation, and evaluation. Experimental results show that the proposed system achieves high performance in terms of sensor accuracy, data transmission delay, and overall system reliability. The AI module successfully identifies classroom usage patterns with an accuracy rate of over 90%, enabling adaptive control of environmental conditions and energy-saving mechanisms. These findings indicate that the integration of IoT and AI technologies significantly enhances the efficiency, transparency, and sustainability of classroom management in higher education institutions.

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26 penulis · 56 tautan kepenulisan bersama · 16 lintas organisasi

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  • Universitas Islam Negeri Ar-Raniry
  • IAIN Kudus
  • Sekolah Tinggi Agama Islam Negeri Teungku Dirundeng Meulaboh
  • Samudra University
  • Universitas Islam Negeri Sumatera Utara
  • Bina Bangsa Getsempena University
  • Universitas Islam Al-Aziziyah Indonesia
  • Organisasi lain
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  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Laksamana Rajendra Haidar Azani FajriIAIN Kudus1
Muhammad SyuibUniversitas Islam Negeri Ar-Raniry1
Daniah DaniahUniversitas Islam Negeri Ar-Raniry1
Fanny FajriaUniversitas Islam Negeri Ar-Raniry1
Syaiful IndraUniversitas Islam Negeri Ar-Raniry1
JarnawiUniversitas Islam Negeri Ar-Raniry1
MaisarahAfiliasi tidak diketahui1
Nur RohmanSekolah Tinggi Agama Islam Negeri Teungku Dirundeng Meulaboh1
AbidahSekolah Tinggi Agama Islam Negeri Teungku Dirundeng Meulaboh1
Syafinaz Binti SallehAfiliasi tidak diketahui1
Cyndi PrasetyaSamudra University1
Rinta Arianti TanjungSamudra University1
Meriza FaradillaBina Bangsa Getsempena University1
Faisal YahyaUniversitas Islam Negeri Ar-Raniry1
Musrizal MusrizalUniversitas Islam Al-Aziziyah Indonesia1
Syamsul BahriUniversitas Syiah Kuala1
Khadijah KhadijahDiponegoro University1
Enny Nazrah PulunganUniversitas Islam Negeri Sumatera Utara1
Rizki HariatiUniversitas Islam Negeri Sumatera Utara1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/jaist/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Smart Classroom Monitoring System Using IoT and AI to Improve Space Utilization in Higher Education</dc:title>
	<dc:creator xml:lang="en">Firdaus, Iqbal</dc:creator>
	<dc:creator xml:lang="en">Mandaya, Yusuf Wisnu</dc:creator>
	<dc:creator xml:lang="en">Yunan, Muhammad</dc:creator>
	<dc:creator xml:lang="en">Urfiyati, Novia</dc:creator>
	<dc:creator xml:lang="en">Maisarah, Maisarah</dc:creator>
	<dc:creator xml:lang="en">Nurhuda, Yeni Agus</dc:creator>
	<dc:creator xml:lang="en">Ilham, Naufal</dc:creator>
	<dc:subject xml:lang="en">Internet of Things (IoT)</dc:subject>
	<dc:subject xml:lang="en">Artificial Intelligence (AI)</dc:subject>
	<dc:subject xml:lang="en">Smart Monitoring Class</dc:subject>
	<dc:subject xml:lang="en">Classroom Utilization</dc:subject>
	<dc:subject xml:lang="en">System Performance</dc:subject>
	<dc:subject xml:lang="en">Smart Campus</dc:subject>
	<dc:description xml:lang="en">The rapid advancement of digital technology has encouraged higher education institutions to implement intelligent systems for improving facility management efficiency. This study focuses on the development and evaluation of a Smart Monitoring Class system that integrates Internet of Things (IoT) and Artificial Intelligence (AI) technologies to optimize classroom utilization. The system employs multiple sensors to monitor environmental parameters such as temperature, humidity, and illumination, as well as to detect occupancy in real time. The collected data are processed using AI algorithms to analyze room usage patterns and provide recommendations for scheduling and energy management. The research follows the System Development Life Cycle (SDLC) approach, including stages of requirement analysis, system design, implementation, and evaluation. Experimental results show that the proposed system achieves high performance in terms of sensor accuracy, data transmission delay, and overall system reliability. The AI module successfully identifies classroom usage patterns with an accuracy rate of over 90%, enabling adaptive control of environmental conditions and energy-saving mechanisms. These findings indicate that the integration of IoT and AI technologies significantly enhances the efficiency, transparency, and sustainability of classroom management in higher education institutions.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-03-21</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/jaist/article/view/35430</dc:identifier>
	<dc:identifier>10.15294/jaist.v7i2.35430</dc:identifier>
	<dc:source xml:lang="en">Journal of Advances in Information Systems and Technology; Vol. 7 No. 2 (2025): October; 238-252</dc:source>
	<dc:source>2715-999X</dc:source>
	<dc:source>2714-9714</dc:source>
	<dc:source>10.15294/jaist.v7i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jaist/article/view/35430/8843</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Journal of Advances in Information Systems and Technology</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-sa/4.0/</dc:rights>
</oai_dc:dc>