Indonesia is a country with high rainfall. The rainy season can last for four months of the year. Development in urban areas in increasing resulting, resulting in reduced water absorption areas. People's habit of throwing garbage in waterways is also one of the factors that cause flooding. The current obstacle is the difficulty of monitoring water levels when heavy rains cause water to overflow onto roads and residents' houses. Checking the water level is still done manually, only looking at the measuring limit or ruler found on the river and not giving warning messages when the water level rises and it rains.  Devices are needed to monitor water levels during heavy rains and send alerts to officers when it rains and the water level has exceeded the limit. Researchers found the idea to make a water level monitor and rain detector using the Wemos D1 R2 Mini microcontroller, supported by the HC-SR04 sensor and Internet of Things (IoT) based rain sensor. The Blynk application receives data from Wemos to be forwarded as a notification to officers. This system provides real-time information about river water levels and conditions when it rains to help avoid or reduce losses due to flooding. The accuracy value generated by the ultrasonic sensor reaches 99.89%, while from the rain sensor, it reaches 100%.

Pada era moderan ini teknologi informasi sudah berkembang sangat pesat hingga digunakan oleh semuamasyarakat didunia, tapi masih ada beberapa instansi yang masih melakukan proses bisnis yang masih manualdan belum memiliki sistem informasi pada proses bisnisnya, salah satunya Rumah Makan Joglo yang memilikipermasalahan tersebut. Metode penelitian yang digunakan adalah metode kualitatif dengan teknik penelitianmelalui wawancara, observasi dan dokumentasi. Perancangan model sistem informasi berorientasi objek denganpendekatan RAD / Rapid Application Development. Oleh karena itulah, diberikan solusi dengan perancanganmodel sistem informasi penjualan yang hasilnya akan dapat membantu dalam proses setiap kegiatan transaksisampai dengan pembuatan laporan atau proses bisnis pada Rumah Makan Joglo.

UD. Inti Mas Motor Jakarta merupakan usaha perdagangan di bidang jasa dan jual beli suku cadang sepeda motor. Staf administrasi milik UD. Inti Mas Motor Jakarta rata-rata sudah bisa menggunakan internet meski hanya membuka media sosial. Internet belum dimanfaatkan secara optimal di tempat kerja. Peningkatan penggunaan internet yang optimal sangat dibutuhkan oleh staf administrasi UD. Inti Mas Motor Jakarta, sehingga perlu diadakan pelatihan. Pelatihan pengenalan internet dan email yang diberikan kepada staf administrasi telah meningkatkan keterampilan mereka. Hal ini dibuktikan dengan peningkatan rata-rata skor hasil test yang diberikan sebelum dan sesudah pelatihan. Hasil pre-test diperoleh nilai rata-rata 50 dan setelah pelatihan meningkat menjadi 87.1. Saat ini, staf administrasi dapat menggunakan internet untuk mencari informasi yang mereka butuhkan, sehingga dapat membantu dalam pekerjaannya.

The current prolonged pandemic requires every individual to do social distancing and physical distancing. This made a difference study and work patterns. In order to overcome this and prepare workforce in the future, it requires an habituation of learning patterns and work through devices you own from your home or residence. To improve the performance of the learning process, an additional learning mechanism is needed on the use of technology, especially in the field of digital calculations. In order to solve this problem on the partner's side, the team made a solution, namely in the form of provisioning with a training pattern using Microsoft Excel which is the basis for a general calculation pattern commonly used both in the world of education and in the world of work and also the use of Google Spreadsheets. The method used in this debriefing is learning by doing, which is a method where every student who follows it will go directly to practice by following instructions from the training instructor from the PKM team. Based on the training provided, the average post test result is 76.6 from the 0-100 range, or increasment 23,28% at from Pre Test to Post test