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Optimalisasi Mesin Hand Sanitizer Otomatis berbasis Mikrokontroler dengan Sensor Inframerah Subhiyanto Subhiyanto; Ista Rahma Nissa
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 1 (2025): Juni 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i1.11568

Abstract

In 2020, the world was hit by the coronavirus pandemic, including Indonesia. According to WHO, millions were infected and thousands died. The Indonesian government responded with several policies, including learning from home. As vaccination programs progressed, some regions began entering the new normal era. Schools resumed limited face-to-face learning by following protocols set by the Joint Decree of Four Ministries (SKB 4 Kementerian). This study, based on analysis and literature review, uses the System Development Life Cycle (SDLC) method to develop an innovative solution involving infrared sensors, commonly used in automation projects. These sensors are proven to be precise, effective, and efficient in implementing automatic hand sanitizer machines. The machine supports COVID-19 health protocols by reducing physical contact and helping prevent virus transmission.