DESIGN IMPLEMENTATION ANDON FOR PRODUCTION MONITORING SYSTEM BASED ON INTERNET OF THINGS

Each production requires a system monitoring, so efficiency that the desired and productivity can be achieved and monitored in real time. This system is needed in the type of press machine production which is mainly influenced by based production lead time. The monitoring process is one of the factors that influences the time of production and manufacturing. Conventionally, the system is monitoring carried out manually by the operator on a piece of paper. This method tends to create errors and quite a long time. This paper aims to overcome the problems that occur by creating a system that is able to record and monitor the machine automatically. The solution is made by utilizing a sensor limit switch, infrared, pressure transmitter and Wi-Fi network based on Web Interface that is connected to the Firebase real time database. Equipped with PID control using the Ziegler Nichols 1 method to stabilize wind pressure on the system. Monitoring devices can be accessed on PCs, laptops, smartphones, connected to the internet, equipped with user-level operators, management, or engineers so that they can be used easily. All production data for each press is collected in a database. The data will be processed by the system to produce a value OEE machine. All data will be displayed on the Web Interface in real-time. The system output is the actual production, value OEE and wind pressure control. The test results show the system is running well, with 2s delay time and data accuracy of ± 0.2%.

PENERAPAN IOT (INTERNET OF THING) SMART FLOWER CONTAINER PADA TANAMAN HIAS AGLAONEMA BERBASIS ARDUINO

Aglaonema merupakan tumbuhan yang sensitif, oleh karena itu memerlukan perhatian khusus dalam perawatannya. Faktor yang mempengaruhi pertumbuhan Aglaonema antara lain adalah intensitas cahaya matahari, temperature ruangan, kelembaban udara, dan ph tanah. Untuk perawatan harian Aglaonema harus mendapat cahaya matahari yang cukup dengan kadar intensitas cahaya sekitar 10 - 30 % dengan suhu 20°C - 30°C. Untuk kelembaban udara, tanaman Aglaonema membutuhkan sekitar 50- 60%, kelembaban tanah lebih dari sama dengan 50%. Untuk itu, di kembangkanlah system monitoring intensitas cahaya matahari, temperature ruangan, kelembaban udara, dan ph tanah pada pot tanaman Aglaonema (Smart Flower Container) dan di tambahkan sistem pelacak dengan modul gps untuk meminimalisir hal yang tidak di inginkan seperti pencurian. Penambahan system keamanan ini dikarenakan tanaman Aglaonema merupakan tanaman eksotis yang diminati banyakpecinta tanaman di kala pandemi seperti saat ini. Dari hasil penelitian menunjukan bahwa sensor dan modul memiliki nilai error dan akurasi, Adapun seperti sensor BH1750 memiliki nilai error rata-rata 4.0% dan akurasi 96.0%, sensor DHT22 memiliki nilai error rata-rata 5.0% dan akurasi 95.0%, sensor PH memiliki nilai error rata-rata 5.8% dan akurasi 94.2%, modul Neo-6M memiliki nilai error rata-rata 1% dan akurasi 99%, sensor Kelembaban Tanah memiliki nilai error rata-rata 0.4% dan akurasi 99.6%.