IoT-Based Prototype for Parking Gate Security Monitoring and Customer Satisfaction Survey

Digital transformation in parking systems is essential to improving operational efficiency, staff integrity, and customer satisfaction. PT Reska Multi Usaha (KAI Services) has implemented various technology-based parking systems such as Manless, Full Manless, Combo, and LPR. However, several locations still rely on manual supervision, which increases the risk of fraud and inaccurate overnight vehicle data. This study developed an Internet of Things (IoT)-based prototype system to monitor gate status and manage customer surveys automatically, with real-time data transmission to a centralized dashboard. The system utilizes gate position sensors, microcontrollers, and digital survey forms integrated with an online server. Test results show that the system operates effectively without manual input, with an average data latency of 1.57 seconds and sensor detection accuracy of up to 50 cm. The system has the potential to be integrated with the Early Warning System (EWS) Command Center to support safer and more responsive parking services.

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Publication Details

Journal
IJEEIT International Journal of Electrical Engineering and Information Technology
Published
2025-09-23
DOI
https://doi.org/10.29138/ijeeit.v8i2.3436
Primary Topic
Smart Parking Systems Research
Type
article
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article

IoT-Based Prototype for Parking Gate Security Monitoring and Customer Satisfaction Survey

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IJEEIT International Journal of Electrical Engineering and Information Technology
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article

IoT-Based Prototype for Parking Gate Security Monitoring and Customer Satisfaction Survey

Alexander Machicky Mayestino, Erwin Dhaniswara, Deden Sumirat Hidayat, Eddy Lybrech Talakua, Sri Wiwoho Mudjanarko, Amd Subagiyo
article en

Abstract

Digital transformation in parking systems is essential to improving operational efficiency, staff integrity, and customer satisfaction. PT Reska Multi Usaha (KAI Services) has implemented various technology-based parking systems such as Manless, Full Manless, Combo, and LPR. However, several locations still rely on manual supervision, which increases the risk of fraud and inaccurate overnight vehicle data. This study developed an Internet of Things (IoT)-based prototype system to monitor gate status and manage customer surveys automatically, with real-time data transmission to a centralized dashboard. The system utilizes gate position sensors, microcontrollers, and digital survey forms integrated with an online server. Test results show that the system operates effectively without manual input, with an average data latency of 1.57 seconds and sensor detection accuracy of up to 50 cm. The system has the potential to be integrated with the Early Warning System (EWS) Command Center to support safer and more responsive parking services.

IJEEIT International Journal of Electrical Engineering and Information TechnologyVol. 8(2)
Tama University (JP), School of Advanced Study (GB), Universitas Widya Kartika (ID), Universitas Narotama (ID)
Openalex Percentile: Top 72%
Smart Parking Systems Research
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