<p class="abstrak">Pada tahun 2019 Program Studi Teknik Informatika memiliki jumlah kelas reguler sebanyak 11 kelas dan sebanyak 1 kelas program kerjasama internasional dengan Perguruan Tinggi di Malaysia. Salah satu cara untuk menghasilkan mahasiswa yang berkualitas adalah dengan menciptakan sistem pembelajaran yang tepat terhadap mahasiswa. Sehingga mahasiswa tersebut memiliki prestasi yang baik dalam bidangnya. Penerapan dalam data mining adalah klasifikasi. Metode klasifikasi dapat digunakan untuk memprediksi atau meramalkan prestasi mahasiswa berdasarkan variabel –variabel tertentu. Teknik ini juga dapat diaplikasikan dalam mencari informasi penting berkaitan dengan prestasi mahasiswa. Berdasarkan teknik klasifikasi akan dapat diketahui faktor-faktor yang berpengaruh terhadap prestasi mahasiswa serta seberapa besar pengaruhnya tersebut. Prestasi mahasiswa dalam hal ini direpresentasikan dengan nilai IPK. Hasilnya diharapkan dapat menjadi bahan masukan atau rekomendasi kepada pihak kampus khususnya manajemen di Program Studi Teknik Informatika untuk membuat sistem pembelajaran yang tepat dan dapat menangani dengan segera mahasiswa yang memiliki prestasi rendah dan upaya dalam melihat faktor-faktor yang berperan dalam peningkatan prestasi akademik mahasiswa</p>
The purpose of this research is to design and build an Internet of Things (IoT) based system that can be used to provide early warning when smoke or fire is detected in the building. The system is also expected to be able to provide notifications via mobile devices to technicians and the head of the laboratory when detecting the height of the rainwater overflow that exceeds a certain limit. The urgency of this research is the need for a system by utilizing the latest technology as an effort to improve safety and security for someone who is in the building when there is a fire hazard or for the safety of equipment in the laboratory. The methodology used in this research is to use a product development approach consisting of software and hardware in a project. Broadly speaking, the stages carried out are: (1) Defining project goals; (2) Define project requirements based on project goals; (3) Designing the system architecture; (4) Define User Experience (UX) flow; (5) Identify the parts/stages of development; (6) Assembling hardware and creating program code for each part/stage; (7) Integrating each part/stage; and (8) testing and troubleshooting. The hardware that will be used is the ESP32 microprocessor which is integrated with the IoT Thingsboard platform. The ESP32 microcontroller has been successfully used as an IoT node that is connected to several sensors including environmental sensors (temperature, humidity) DHT22, light intensity sensors (LDR), motion sensors (motion PIR sensors), magnetic switch reed sensors, MQ2 smoke detector sensors, and sensors. water level. On the server side, the Thingsboard platform has been successfully used as an MQTT broker, presenting data in the form of an interactive dashboard, and triggering alarms.
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