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Integration of Internet of Things (IoT) and Artificial Intelligence for Campus Education: A Case Study of Energy Management and Security Putri, Desfita Eka; Krisnawati, Nova; Adhicandra, Iwan; Sitopu, Joni Wilson
Global Education Journal Vol. 3 No. 1 (2025): Global Education Journal (GEJ)
Publisher : Civiliza Publishing, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/gej.v3i1.635

Abstract

The rapid advancement of digital technology has transformed educational institutions, presenting opportunities to enhance campus energy management and security. This research investigates the integration of the Internet of Things (IoT) and Artificial Intelligence (AI) to improve energy efficiency and security systems in a university campus setting. The study employed a qualitative research method using a case study approach, which included interviews, observations, and document analysis conducted over six months. Data analysis followed a thematic approach to identify patterns in energy consumption, security threats, and system performance. The results demonstrated that integrating IoT and AI reduced energy consumption by 20% through automated controls and predictive analytics, while security incidents decreased by 30% with improved response times by 40%. The study confirms previous theoretical energy conservation and security enhancement models while highlighting practical challenges such as sensor connectivity issues and staff training. This research contributes to the field by demonstrating the synergistic potential of combining IoT and AI for holistic campus management. Future research should explore integrating renewable energy sources with IoT technologies to enhance environmental sustainability while maintaining campus security. The findings offer valuable insights for educational institutions adopting smart campus technologies for improved operational efficiency and safety.
Design and Build a Push-Pull Inverter for Room Lighting Haryanti, Munnik; Yulianti, Bekti; Rahmawati, Cynthia; Adhicandra, Iwan
Green Intelligent Systems and Applications Volume 5 - Issue 2 - 2025
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v5i2.761

Abstract

This study addressed the issue of harmonic distortion in solar power systems that required inverters to convert DC voltage to AC for indoor lighting applications. The objective was to design and evaluate a push-pull inverter incorporating pulse width modulation (PWM) to reduce harmonics and ensure a stable voltage output. A push-pull topology was selected because of its relatively simple design and ability to step up DC voltage using a transformer, making it suitable for low- to medium-power applications. The inverter employed two metal–oxide–semiconductor field-effect transistor (MOSFET) switching devices operated alternately to generate AC waves at the output. The core of the design was a 50 Hz pulse generator producing a 5 V pulse signal with a small current, which was then amplified using a current amplifier before being supplied to the transformer. The transformer functioned to induce the electromagnetic field from the pulse source and release it at a higher voltage of 220 V. Experimental testing was performed using 2.3 W, 5 W, and 8 W LED lights. A minor modification to the gate resistor improved system performance, resulting in stable transformer output voltages at 5 W and 8 W loads. These results demonstrated that the PWM-controlled push-pull inverter successfully reduced harmonics and maintained voltage stability under higher loads, making it effective for indoor LED lighting powered by solar energy. Future studies could aim to enhance efficiency at lower loads, minimize switching losses, and implement more advanced PWM techniques to achieve performance levels comparable to pure sine wave inverters.
Latest Innovations in Internet of Things (IoT): Digital Transformation Across Industries Adhicandra, Iwan; Tanwir, Tanwir; Asfahani, Asfahani; Sitopu, Joni Wilson; Irawan, Feri
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.10551

Abstract

This research article explores recent advances in IoT technology and its huge impact on various sectors. This research method uses a qualitative research approach involving in-depth interviews and thematic analysis. This research explores key IoT innovations such as wearable devices, smart medical devices, predictive maintenance systems, and IoT-based transportation solutions. The research findings highlight how these innovations are driving digital transformation across industries, leading to improved healthcare delivery, increased manufacturing efficiency, optimized transportation operations, sustainable agricultural practices, and personalized retail experiences. This study also aligns these empirical findings with theoretical frameworks regarding IoT, digital transformation, and industry-specific applications, emphasizing the strategic importance of leveraging IoT as a catalyst for innovation, competitiveness, and value creation. This research provides valuable insights for businesses, policymakers and researchers looking to leverage IoT technology to drive digital transformation and achieve sustainable growth across industries.
IMPLEMENTASI TEKNOLOGI BLOCKCHAIN DALAM SISTEM MANAJEMEN LOGISTIK UNTUK MENINGKATKAN KEANDALAN DAN TRANSPARANSI Adhicandra, Iwan
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 2 (2024): Volume 7 No. 2 Tahun 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i2.27820

Abstract

Teknologi blockchain telah menjadi sorotan dalam beberapa tahun terakhir karena potensinya untuk mengubah berbagai industri, termasuk manajemen logistik. Penelitian ini bertujuan untuk menyelidiki bagaimana implementasi teknologi blockchain dapat meningkatkan keandalan dan transparansi dalam sistem manajemen logistik. Metode studi literatur digunakan untuk mengumpulkan dan menganalisis berbagai sumber informasi yang relevan. Hasil penelitian menunjukkan bahwa implementasi blockchain dapat mengurangi risiko kehilangan atau manipulasi data di dalam rantai pasok dengan menyediakan catatan terdistribusi yang aman dan tidak dapat dimanipulasi. Hal ini menciptakan jejak audit yang jelas dan dapat dipercaya, meningkatkan kepercayaan antara mitra dalam rantai pasok. Selain itu, blockchain juga membawa peningkatan transparansi dengan memungkinkan akses yang mudah dan aman terhadap informasi mengenai asal-usul, status, dan kondisi barang. Tantangan utama dalam implementasi blockchain termasuk biaya dan kompleksitas teknis yang terlibat, serta kurangnya standar industri dan peraturan yang matang. Oleh karena itu, kolaborasi antara industri, pemerintah, dan lembaga regulasi sangat penting untuk mengembangkan standar dan regulasi yang jelas dan sesuai. Penelitian ini menyimpulkan bahwa implementasi teknologi blockchain dalam sistem manajemen logistik memiliki potensi besar untuk meningkatkan efisiensi, keandalan, dan transparansi dalam rantai pasok.
The Impact of Implementing Blockchain Technology in Learning on Data Security and Integrity Adhicandra, Iwan; Kaaffah, Faiz Muqorrir; Maharaja, Chandra Halim; Sabri, Sabri
Journal of Computer Science Advancements Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i1.927

Abstract

The application of blockchain technology in learning has great potential to improve data security and integrity. Because blockchain is a decentralized technology that uses block chains to record and secure transactions in a transparent and permanent manner, it offers an excellent solution to address security and data integrity issues. This research was conducted with the aim of improving the security and integrity of student data. Student data can be stored in a distributed manner with blockchain. No one can change or delete it without their permission. This goal also includes increasing transparency and accountability of the learning process to ensure that the data used in the learning process is accurate data. The method used in this research is a quantitative method. This method is a way of collecting numerical data that can be tested. Data was collected through distributing questionnaires addressed to students. Furthermore, the data that has been collected from the results of distributing the questionnaire will be accessible in Excel format which can then be processed using SPSS. From this research carried out, researchers can obtain research results that blockchain technology is used to protect educational data by locking the learning history of the learning management system (LMS), so that assessments can be carried out effectively and allow all parties involved to access and verify information safely while ensuring data integrity and validity. Based on the results of this research, it can be concluded that the application of blockchain technology can help improve the security and integrity of student data, such as academic, financial and personal data, in the learning context. By using blockchain, students have complete control over their data and ensure that bad people cannot misuse or access it. Apart from that, blockchain technology can also increase transparency and accountability in the classroom.
The Impact of Integrating Internet of Things (IoT) Technology in Learning on Class Management Efficiency Adhicandra, Iwan; Khasanah, Fata Nidaul; Muhammadiah, Mas’ud; Sabri, Sabri; Maharaja, Chandra Halim
Journal of Computer Science Advancements Vol. 2 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i3.928

Abstract

Internet of Things (IoT) technology is something that is equipped with sensors and software so that it can send data over a network without human interaction. As a result, the Internet of Things can improve connectivity by connecting many devices via the internet, facilitating human interaction with machines. This research was conducted with the aim of increasing efficiency, reliability and innovation in the teaching and learning process. By using IoT, this research focuses on developing interactive and personalized learning media to increase students' understanding of technology. In addition, this research aims to improve teachers' abilities in using information technology to help students learn to use it. In conducting this research, researchers used quantitative methods in carrying out the research. The data obtained by the researcher was obtained through distributing questionnaires presented by the researcher via a goggle from application. The distribution of this questionnaire is carried out by researchers online, and then the results of the distribution of this questionnaire will be processed using an SPSS application. From this research, researchers can conclude that the integration of Internet of Things (IoT) technology can increase classroom management efficiency. With the help of the Internet of Things (IoT), teachers can monitor and manage classes more efficiently and intelligently by collecting data such as student activity, room temperature, and other information. Thus, IoT allows teachers to make smarter and strategic decisions about classroom management. Based on the results of this research, the impact of integrating IoT technology can provide benefits for teachers and students. Developing digital skills is one of the benefits of integrating IoT technology. By learning how to use Internet of Things technology in learning, teachers can improve their digital skills and increase their ability to use technology to improve the efficiency and quality of education.
Integration of Internet of Things (IoT) and Artificial Intelligence for Campus Education: A Case Study of Energy Management and Security Putri, Desfita Eka; Krisnawati, Nova; Adhicandra, Iwan; Sitopu, Joni Wilson
Global Education Journal Vol. 3 No. 1 (2025): Global Education Journal (GEJ)
Publisher : Civiliza Publishing, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/gej.v3i1.635

Abstract

The rapid advancement of digital technology has transformed educational institutions, presenting opportunities to enhance campus energy management and security. This research investigates the integration of the Internet of Things (IoT) and Artificial Intelligence (AI) to improve energy efficiency and security systems in a university campus setting. The study employed a qualitative research method using a case study approach, which included interviews, observations, and document analysis conducted over six months. Data analysis followed a thematic approach to identify patterns in energy consumption, security threats, and system performance. The results demonstrated that integrating IoT and AI reduced energy consumption by 20% through automated controls and predictive analytics, while security incidents decreased by 30% with improved response times by 40%. The study confirms previous theoretical energy conservation and security enhancement models while highlighting practical challenges such as sensor connectivity issues and staff training. This research contributes to the field by demonstrating the synergistic potential of combining IoT and AI for holistic campus management. Future research should explore integrating renewable energy sources with IoT technologies to enhance environmental sustainability while maintaining campus security. The findings offer valuable insights for educational institutions adopting smart campus technologies for improved operational efficiency and safety.