Monitoring of environmental pollution level on campus is very important to do. According to UI Green Metric 2018 data, there are 719 campuses to participate in the developing of green campus and issues of sustainability. One of assessment is implementation of smart system to solve environmental problems in the campus area. To develop an environmental pollution monitoring tool based on IoT needs hardware and software. The hardware consists of sensors namely dust particle of PM-2.5 sensor type GPY21010AU0F, temperature and humidity sensor type SHT11, light intensity sensor type BH1750, CO2 sensor type MG-811, SIM 800, ADC module and microcontroller ESP32. Software is done using PHP and database. Parameters to be measured are density of dust particle, temperature, humidity, light intensity, CO2 level and loudness. Furthermore, information about environmental pollution data can be displayed and accessed in real-time via smartphones and computers. The sensors read the value every in 5 seconds. The results is in average value, density of dust particle is 1.39 µg/m3. Temperature is 36.58 0C. Humidity is 53.80 %RH. Light intensity is 10,613 lux. CO2 level is 15.50 ppm (parts per million). There is upper threshold value for temperature and humidity. Others, it is a normal condition and no pollution because campus is still in lockdown.

People who are blind, assistive devices to carry out daily activities are needed. If they do not use assistive devices, blind people will have difficulty when carrying out daily activities such as reaching obstacles that are near them. As for those who use tools that are classified as manual, such as sticks. However, the stick is considered less effective because the reach of the stick is not so wide and long, it is also less efficient when used in the crowd of activities of people nearby. On the basis of these problems, this research was conducted to help blind people to be aware of the obstacles that are around them. The HCSR04 type ultrasonic distance sensor can be used to measure the distance from the user to the surrounding obstructions. This sensor can measure distances from a radius of 5 cm to 200 cm. By using Arduino Uno, you can maximize the function of the HC-SR04 sensor as input for the visually impaired. Arduino uno is used as the brain of the program for the visually impaired in this study. The use of a buzzer on this blind aid is used as a sound output. Bagi penyandang tuna netra, alat bantu untuk melakukan aktifitas keseharian sangatlah dibutuhkan. Apabila tidak menggunakan alat bantu, para penyandang tuna netra akan mengalami kesulitan ketika melakukan aktifitas keseharian seperti menjangkau penghalang yang berada didekat mereka. Adapun yang menggunakan alat bantu yang tergolong masih manual seperti tongkat. Namun tongkat dinilai kurang efektif karena jangkauan tongkat yang tidak begitu luas dan panjang, juga kurang efisien apabila digunakan di tengah keramaian aktifitas orang-orang didekatnya. Atas dasar masalah tersebut penelitian ini dilakukan untuk membantu penyandang tuna netra dapat mewaspadai penghalang yang berada disekitar mereka. Sensor jarak ultrasonik tipe HCSR04 dapat difungsikan untuk mengukur jarak dari pengguna dengan penghalang disekitarnya. Sensor ini dapat mengukur jarak dari radius 5 cm hingga 200 cm. Dengan menggunakan arduino uno dapat memaksimalkan fungsi sensor HC-SR04 sebagai masukan dari alat bantu tuna netra. Arduino uno digunakan sebagai otak dari program alat bantu tuna netra pada penelitian ini. Penggunaan buzzer pada alat bantu tuna netra ini digunakan sebagai keluaran bunyi.

Controlling the water level in the tank will not be a problem if it is only used for household needs. For example, if the water in the tank reaches the low level limit, you can still wait for the pump to work to be used. In contrast to the needs of water used in industry. For example, the use of water in a tank to supply water to a boiler, or a tank used in a mineral water company and others of the same type can be fatal. The use of HMI in a well-designed process industry can support high performance in an industry to produce a system that is easy to understand visually and also makes it easier for operators to handle troubleshooting problems. The availability of analog input output facilities on the PLC can read the output voltage of the water level sensor module. and display on the HMI diagram in real time

Flood is an event of inundation of land, which is usually dry, by water originating from water sources around the land. Binjai City is an area prone to flash floods. This is because in Binjai City there are 5 (five) upstream rivers namely the Bingei river, Mencirim river, Bangkatan river, Diski river and Rambai river. A flood early warning system is a series of systems that function to notify an impending flood disaster. With the existence of a flood early warning system, it can provide information to the community and can reduce victims or losses due to the community's unpreparedness in dealing with flood disasters. This study aims to create a prototype of a river flood early warning system based on the internet of things (IoT). The method used is to design and create a flood early warning system prototype, then perform system testing. The system is designed using the Arduino Mega2560 microcontroller as the system control center, the HC-SR04 ultrasonic sensors and the ESP32-Cam camera module as system input, as well as buzzer, LCD and website as system output. The transmission medium used is wireless via a 4G WiFi Modem connected to the internet. System prototype testing will be carried out in the Bangkatan river area in Binjai City. From the results of the discussion, it was found that the river flood warning system using the HC-SR04 ultrasonic sensor and the ESP32-Cam camera module based on the Internet of Things was successfully designed and implemented in prototype form and worked well. Ultrasonic sensors work well in measuring river water level with an average error percentage of 3.642%. The ESP32-Cam camera module works well in capturing images of river water conditions up to a distance of 200 cm. (9 pt).

Salah satu kesulitan memasuki gedung bertingkat adalah parkir. Tidak adanya informasi tentang ketersediaan slot parkir pada bangunan menyebabkan kesulitan untuk menemukan lokasi parkir. Oleh karena itu dibutuhkan sebuah sistem informasi untuk mengetahui ketersediaan slot parkir pada sebuah gedung bertingkat. Sistem parkir yang umumnya hanya mengetahui jumlah kendaraan yang masuk kedalam gedung bertingkat namun belum memiliki informasi tentang ketersediaan slot parkir. Tujuan penelitian ini adalah menampilkan ketersediaan slot parkir menggunakan sensor LDR sebagai monitoring tempat parkir dan sensor infra red untuk jumlah mobil yang mauk ke dalam mobil. Hasil dari penelitian ini adalah sistem slot parkir telah berhasil menampilkan kondisi parkir dengan menampilkan ketersediaan slot parkir pada sebuah gedung dan jumlah mobil yang parkir pada gedung tersebut.