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An AI-integrated IoT-based Self-Service Laundry Kiosk with Mobile Application Kusrini, Kusrini; Muhammad, Alva Hendi; Fauzi, Moch Farid; Kuswanto, Jeki; Bernadhed, Bernadhed; Widayani, Wiwi; Pramono, Eko; Muktafin, Elik Hari; Ariyanto, Yossy
ILKOM Jurnal Ilmiah Vol 16, No 3 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i3.2050.382-393

Abstract

This paper proposes KILAO, an IoT-based self-service laundry kiosk connected with a mobile application that aims to improve the laundry experience by improving user convenience and operational efficiency. This study aims to streamline the washing process using autonomous payment systems, real-time monitoring, and AI-based queue management, resulting in better resource utilization and higher user satisfaction. The development technique comprises identification and requirement gathering, development of both software and hardware prototypes, and evaluation of the prototype. In the requirement-gathering phase, the design of a kiosk machine that consists of hardware and software is defined by combining regular washing machines with IoT technologies for remote control and monitoring. We also developed a mobile application to engage with the kiosk machine. The kiosk simplifies the choice of laundry bundles and accepts various payment options, including cash, cashless transactions, and card-based purchases. The evaluation procedure of the prototype was conducted by using expert evaluations. They are from academics and industry professionals who verified the system’s effectiveness and market potential. The results have shown several unique selling features for KILAO. Extensive payment options and self-service operations were highlighted from the customer’s perspective as key benefits. From the seller’s perspective, its interoperability with traditional washing machines enables a low-cost shift to intelligent, self-service operations, eliminating the need for pricey coin-operated machines. Also, the automatic monitoring system that detects cycle completion can reduce waiting times and improve energy efficiency. In summary, KILAO presents a significant advancement in laundry automation by integrating IoT and AI. Moreover, the Gradient boosting algorithm forecasts waiting times and gives real-time information on machine availability, removing the need for physical queueing. The research demonstrates that KILAO’s capability to provide self-service laundry by providing a user-friendly mobile application can enhance user experience, operational efficiency, and energy utilization.
Perancangan Prototype Pelampung Keselamatan Elektrik dengan Algoritma Proportional Integral Derivative Untuk Kestabilan di Air Kusrini, Kusrini; Pramono, Eko; Muktafin, Elik Hari; Setiaji, Bayu; Putra, Andriyan Dwi
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.6021

Abstract

This research addresses the need for a water rescue device capable of autonomously moving towards a survival position while being remotely controlled. The main problem investigated is how to design an electric safety buoy that can move stably in currents and waves while being operated remotely using Internet of Things (IoT) technology. Data were collected through prototype testing under various load and control range conditions. The research method involves designing and implementing a control system based on the Arduino Uno microcontroller, with a Proportional-Integral-Derivative (PID) algorithm to maintain buoy stability, and an RF communication module for remote control up to 500 meters. The test results show that the buoy can achieve an average speed of 1.35 m/s at 100% throttle with an 80 kg load and maintain stability in various water conditions. The standard deviation of speed indicates minimal variation between tests, demonstrating good movement stability. This research contributes to the development of IoT-based safety devices, enhancing the effectiveness of water rescue operations. With the use of a PID algorithm, the buoy can automatically adjust direction and speed, making it more responsive to remote control commands and able to withstand dynamic water conditions.