Sorting Device Coding Print Quality Machine on Packing Box Prototype Utilizing Optical Character Recognition

The design of a system that can recognize the characters printed by the coding machine so that it can then determine the assessment of very good and bad prints, is the goal of this research. This system is useful as an indicator of an indication of a problem with the coding machine which is indicated by the number of products rejected by the system. In addition, this system is an effort to reduce printing errors so that they are sorted and do not pass to the market, thus causing misinformation to the public. This system is in the form of a moving conveyor table that has a firing area box and a reject rod as a product separator. The OCR method is programmed in a computer that is part of the system, to be able to recognize the characters printed by this coding machine. USB to TTL which functions as serial communication from the Laptop to the Microcontroller, is a complement to this tool. Testing as many as 60 times on 12 types of characters, this system has been carried out on this tool. There are six types of good characters and six types of bad characters, which have been provided. Of the 60 tests, the results were four failed tests. That is, the percentage of success of this tool is 93.33%, and the percentage of error is 6.66%.

The arduino based prototype of handsanitizer tool and automatic mask feeder

The purpose of this research is to design and construct a prototype of an Arduino-based automatic handsanitizer and mask feeder. The research method was carried out by laboratory experiments. The experimental stages consisted of designing hardware (hadware), software (software) and testing the whole tool. The test results showed that ultrasonic sensor and dispencer can detect at a distance of 5 cm. The Arduino dc motor test that given high and low logic for the direction of each clockwise and counter clockwise motor resulted in an output voltage of 5.09V. Overall the tool testing went well. Regarding to the results, it can be concluded that the tools can be on of the options to reduce the spread of COVID-19 in the Jakarta State University academic community, especially the laboratories within the Jakarta State University.

Purwarupa Pemantauan Volume Kondisi Volume Air Galon Berbasis Internet of Things (IoT)

Sistem pemantau volume air di dalam galon sudah banyak dibuat purwarupa atau prototipenya dengan berbagai macam jenis sensor dan media transmisi pengiriman informasinya. Setiap purwarupa sistem pemantau tersebut mempunyai kelebihan dan kekurangan sendiri-sendiri. Penelitian ini bertujuan untuk memantau volume air di dalam galon dengan menggunakan sensor berat Loadcell HX711 dan menggunakan media transmisi WiFi yang tersedia NodeMCU ESP8266. Selain itu, software Android IFTTT dan aplikasi Telegram dirancang sebagai platform pemroses, pengirim data beserta antar muka dari sistem pemantau air ke dunia luar atau internet. Jika volume air terdeteksi kurang dari 1,2 kg, atau 1,2 liter, maka telegram akan menerima notifikasi dari sensor yang dipasang. Berat maksimal yang dapat diterima alat adalah 5 kg dan air yang diisi adalah 3 liter. Pengujian yang dilakukan ada dua macam, pengujian sensor dan pengujian alat. Pengujian sensor dengan beban yang beragam mendapatkan hasil error yang bervariasi dengan nilai error tertinggi 11,7%. Sedangkan rata-rata error sensor satu sebesar 4,02% untuk sensor dua sebesar 4,72%. Pada pengujian alat rata-rata error pada alat satu yaitu 0,29% sedangkan pada alat dua mendapatkan hasil error 0,46%. Berikutnya, delay atau tunda pengiriman data melalui platform IoT untuk sensor loadcell satu memiliki delay atau tunda rata-rata waktu pengiriman notifikasi ke telegram sebesar 4,045 detik dan 4,184 detik pada sensor loadcell dua. Oleh karena itu, sistem minimum NodeMCU digunakan untuk menyelesaikan masalah. Pengujian alat mendapatkan hasil yang memuaskan yaitu prototip ini dapat mendeteksi volume air dibawah 1,2 kg dan mengirimkan informasi pada telegram.Many prototypes of water volume monitoring system in gallon have been developed instead variety of sensors and transmission media for sending information. Each prototype monitoring system has its own advantage and disadvantage. This research focused on monitoring gallon volume of water by using the loadcell sensor HX711 weight sensor and using the available WiFi transmission media NodeMCU ESP8266. In addition, the IFTTT Android Software and Telegram application are designed as a processing platform, sending data and interfacing from a water monitoring system to the outside world or the internet. If the detected water volume is less than 1.2 kg or 1.2 liters, the telegram will receive notification from the installed sensor. The maximum weight that can be received by the tool is 5 kg and the water amount filled is 3 liters. There are two kinds of testing, sensor testing and tool testing. Testing sensors with various loads get variable error results with the highest error value of 11.7 %. While the average sensor error is 4.02 % for sensor two is 4.72 %. In tool testing the average error in tool one is 0.29 % while in tool two it gets 0.46 % error results. Next, the delay about sending data through the IoT platform for loadcell sensor one has an average time sending notification to the telegram of 4.045 second and 4.184 second on loadcell sensor number two. Therefore, the minimum system NodeMCU is used to solve the problem. Testing tools get satisfactory results, this prototype can detect the volume of water below 1.2 kg and send information into telegram.

RANCANG BANGUN PINTU GESER OTOMATIS BERBASIS MIKRO KONTROLER ARDUINO

The progress of science and technology from time to time is growing rapidly. Iftraced back, first all activities are done manually. Along with technologicaldevelopments, some activities have been converted into an automated system.Like to open a door that requires human labor, now has many doors that can beautomatically opened when there is someone who will enter. But there are fewobstacles, whereas when someone is running quickly it must wait for the door toopen automatically which causes the person to stop first and wait for the door toopen. In this Final Project, ultrasonic sensor (PING) is used to measure visitordistance. Dc motor is used to set the speed of opening the door. The prototype ofautomatic sliding door is controlled using arduino microcontroller. Test resultsshow that the door will open when visitors are in front of the door measured withultrasonic sensor (PING). After the tool testing, the maximum load of the doorthat can be moved by the tool is less than 15 kg. The time it takes the automaticsliding door to close with the maximum load is 3.12 seconds.