The attandance of student in the classroom is reflecting their academic performance, the Department of Informatics Engineering in the Universitas Sebelas Maret used a manual way to record student attendance. The manual way is using papers to record student attendance and lecture activities, it may suffer to human error, because attandee can manipulate their presence and the departments can’t monitor them. Radio Frequency Identification (RFID) can be applied to identify various things, because it has unique information codes saved in a special chip called tags. RFID can be applied to developed an attendance system prototype. The term of Internet of Things (IoT) can be described as an embedded system with internet data exchange, by using this technology we can monitored and controlled the devices, also we can integrate the database. The aim of this research is to measure the data speed of the prototype of RFID attendance system, the prototype has function to stored, process, and record the student attendance in the Department of Informatics Engineering.

Energy meter is a measuring instrument to calculate the amound of electric energy consumed by an electrically powered device. The energy metering which measure line voltage, current, and calculating active power can be used to increase usage efficiency of electricity. This paper presets a system which provide real time energy meter reading using ACS712 as current sensor, ZMPT101B as voltage sensor, arduino and an IoT server. The energy meter can display consumed energy in kWh and electricity bills to be paid. system’s user interface is in Android. the error in current measurement is less than 2 % and error for peak to peak voltage measurement is 4 %. A notification for the amount of electricity energy usage or electricity cost can be generated for user to be displayed.

The purpose of this research is to design and build a wind monitoring system with LoRA (Low Range) technology. This system can observe the value of wind speed, air temperature, and humidity. All of these data must be processed in order to obtain information on the current state of the air. Existing information can be used as a reference for decision making or as a sign of a threat. In this monitoring system, the observation of air conditions uses wireless LoRa (Long Range) technology as a data transmission tool. In this experiment, two LoRa nodes are used and one Lora Gateway is used. There are two sensors used in this case, namely anemometer and BME280. Sensors contained in the LoRa node take data on wind speed, air temperature, and humidity. The LoRa node sends all the data to the LoRa Gateway. LoRa gateway connected by wifi will forward to the server (The Things Network and Firebase). The test results from this study show that the average time for sending LoRa node data to being sent to firebase is 0.25 seconds. LoRA devices with a 3 cm long antenna can communicate at a maximum distance of 400 m.

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