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Volume 16
Issue 2
10.3390/info16020108
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Article

Implementation of Sensor Input Setup Assistance Service Using Generative AI for SEMAR IoT Application Server Platform

by
I Nyoman Darma Kotama
1,2,
Nobuo Funabiki
1,*,
Yohanes Yohanie Fridelin Panduman
1,
Komang Candra Brata
1,
Anak Agung Surya Pradhana
1,2,
Noprianto
1 and
I Gusti Made Ngurah Desnanjaya
2
1
Graduate School of Natural Science and Technology, Okayama University, Okayama 700-8530, Japan
2
Department of Computer System Engineering, Institute of Business and Technology Indonesia, Denpasar 80225, Indonesia
*
Author to whom correspondence should be addressed.
Information 2025, 16(2), 108; https://doi.org/10.3390/info16020108
Submission received: 26 December 2024 / Revised: 26 January 2025 / Accepted: 4 February 2025 / Published: 5 February 2025
(This article belongs to the Special Issue Blending Artificial Intelligence and Machine Learning with the Internet of Things: Emerging Trends, Issues and Challenges)
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Abstract

For rapid deployments of various IoT application systems, we have developed Smart Environmental Monitoring and Analytical in Real-Time (SEMAR) as an integrated server platform. It is equipped with rich functions for collecting, analyzing, and visualizing various data. Unfortunately, the proper configuration of SEMAR with a variety of IoT devices can be complex and challenging for novice users, since it often requires technical expertise. The assistance of Generative AI can be helpful to solve this drawback. In this paper, we present an implementation of a sensor input setup assistance service for SEMAR using prompt engineering techniques and Generative AI. A user needs to define the requirement specifications and environments of the IoT application system for sensor inputs, and give them to the service. Then, the service provides step-by-step guidance on sensor connections, communicating board configurations, network connections, and communication protocols to the user, which can help the user easily set up the configuration to connect the relevant devices to SEMAR. For evaluations, we applied the proposal to the input sensor setup processes of three practical IoT application systems with SEMAR, namely, a smart light, water heater, and room temperature monitoring system. In addition, we applied it to the setup process of an IoT application system for a course for undergraduate students at the Insitut Bisnis dan Teknologi (INSTIKI), Indonesia. The results demonstrate the effectiveness of the proposed service for SEMAR.
Keywords: Internet of Things; generative AI; review; application server platform; SEMAR; sensor input Internet of Things; generative AI; review; application server platform; SEMAR; sensor input

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MDPI and ACS Style

Kotama, I.N.D.; Funabiki, N.; Panduman, Y.Y.F.; Brata, K.C.; Pradhana, A.A.S.; Noprianto; Desnanjaya, I.G.M.N. Implementation of Sensor Input Setup Assistance Service Using Generative AI for SEMAR IoT Application Server Platform. Information 2025, 16, 108. https://doi.org/10.3390/info16020108

AMA Style

Kotama IND, Funabiki N, Panduman YYF, Brata KC, Pradhana AAS, Noprianto, Desnanjaya IGMN. Implementation of Sensor Input Setup Assistance Service Using Generative AI for SEMAR IoT Application Server Platform. Information. 2025; 16(2):108. https://doi.org/10.3390/info16020108

Chicago/Turabian Style

Kotama, I Nyoman Darma, Nobuo Funabiki, Yohanes Yohanie Fridelin Panduman, Komang Candra Brata, Anak Agung Surya Pradhana, Noprianto, and I Gusti Made Ngurah Desnanjaya. 2025. "Implementation of Sensor Input Setup Assistance Service Using Generative AI for SEMAR IoT Application Server Platform" Information 16, no. 2: 108. https://doi.org/10.3390/info16020108

APA Style

Kotama, I. N. D., Funabiki, N., Panduman, Y. Y. F., Brata, K. C., Pradhana, A. A. S., Noprianto, & Desnanjaya, I. G. M. N. (2025). Implementation of Sensor Input Setup Assistance Service Using Generative AI for SEMAR IoT Application Server Platform. Information, 16(2), 108. https://doi.org/10.3390/info16020108

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