Yossy Ariyanto
Pendidikan Teknik Mekatronika, Fakultas Teknik, Universitas Negeri Yogyakarta

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SMART SENSOR TELEVISION: ALAT PENDETEKSI JARAK PANDANG TELEVISI OTOMATIS SEBAGAI UPAYA MENJAGA KESEHATAN MATA Purnomo, Arif; Widodo, Catur Edi; Perdana, Muhamad Iqbal; Fernando, Roy; Ariyanto, Yossy
Program Kreativitas Mahasiswa - Karsa Cipta PKM-KC 2013
Publisher : Ditlitabmas, Ditjen DIKTI, Kemdikbud RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (377.007 KB)

Abstract

Watching television with distance under five diagonal from the television make negative effects to eye lens’s health, that include myopia, photochemistry hurt, and astigmatism. Blue shine from the television could cause injury on eye’s lens. According to Rahmi Utari from Mechanical R&D, the blue shine percentage in age among 0-10 years is 70-80%, meanwhile in age among 60-90 years is 20%. It means the radiation from blue shine can break the eye’s lens in age among 0-10 years. Example, keep on watching distance from television. Watching television with position ±250 will make neck injury, above 250 will tense neck and make headache also bucking. Smart Sensor Television is a tool to detect the automatically television visibility as effort to keep eye’s health. Basically, the function of this tool is a health censorship of visibility in watching television. This tool has tree early warning such us LCD’s indicator, LED’s indicator and buzzer sound’s indicator to know how far save distance to watching television. The procedure of this tool is when someone watching television with distance under five diagonal from television, the three indicators will give synergic response.
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.