Analisis Predictive Maintenance Peralatan Lab Berbasis Machine Learning
نویسندگان
چکیده
The rapid development of AI is also supported by our entry into the digital era and Internet Things (IoT). In using laboratory equipment, students are required to comply with rules so that equipment can be maintained properly. However, tool used will cause thirst for tool. This becomes a problem when needed learning, while does not function properly or completely damaged. research method in Predicting Labor Equipment Department Electronics FT-UNP Cross-Industry Standard Process Data Mining (CRISP-DM) method. CRISP-DM very reliable model. By utilizing Predictive Maintenance technology on each existing we analyze data identify damage failure mode, as obtain regarding frequency occurrence severity labor setting warning technicians, at this time there an alarm technicians perform checking equipment.
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ژورنال
عنوان ژورنال: Jurnal Sistim Informasi dan Teknologi
سال: 2022
ISSN: ['2686-3154']
DOI: https://doi.org/10.37034/jsisfotek.v5i1.164