Sistem Pembayaran Hasil Cetak Printer Berbasis Mikrokontroler dan Near Field Communication (NFC)

The print-out price for printer services varies according to the density of the paper and the amount of ink used, and the payment is made manually by calculating the total print output. Therefore a system is created that can display rates and total invoices automatically based on time printed, as well as automatic payments that make it easier for service providers and service users. The design of this system consists of Arduino mega, ESP8266, relay, Near Field Communication (NFC), and printer. This system can distinguish the print price rates according to the time of printing, the time span of printing and the tariff is Rp. 300.00 with a printing time of 1-6 seconds, Rp. 500.00 with a time of 7-13 seconds, and finally Rp. 700, 00 with a time span above 14 seconds. The success rate of this system in classifying print tariffs is 95%.

Sistem Otomatisasi Plant Factory dengan Tiga Jenis Tanaman Sayuran Berbeda Berbasis Mikrokontroler dan Android

Plant Factory is a technology concept that facilitates the formation of an environment that is suitable and good for plant growth, easy to control, does not require a large area of land, and is applied indoors so that it is not affected by outdoor weather conditions. Therefore created a system that automatically controls and monitors environmental conditions such as temperature, humidity and light. This system uses Arduino mega 2560 as a microcontroller, DHT22 temperature and humidity sensors to assess room temperature and humidity, RTC as an indicator of plant irradiation time, a micro SD module as data storage for sensors and actuators, and a Bluetooth module as a medium for data transmission. This actuator consists of a fan to control temperature, a humidifier to control humidity and an LED as a substitute for lighting plants. There are three plants as samples for testing the Plant Factory system, namely spinach, lettuce and mustard greens with each Plant Factory system for these plants. All temperature, humidity and actuator conditions can be monitored via the Android application. The plant factory automation system with three types of vegetable plants based on microcontroller and android is successfully running according to its function.

Sistem Monitoring Kondisi dan Posisi Pengemudi Berbasis Internet of things

Tingginya tingkat kecelakaan yang disebabkan oleh human error masih menjadipermasalahan yang dihadapi di Indonesia. Kecelakaan di jalan raya yangdisebabkan oleh kelelahan dan mengantuk adalah masalah yang sangat serius yangmenyebabkan ribuan kecelakaan di jalan setiap tahun. Penelitian ini bertujuanuntuk membuat suatu sistem yang dapat membantu untuk mencegah terjadinyakecelakaan yang disebabkan faktor kondisi pengemudi. Sistem yang dibuat terdiriatas tiga komponen utama, yaitu embedded system, real-time database, danaplikasi mobile. Embedded system terdiri atas Arduino Uno, Pulse Sensor, GPSModule, Push Button, dan NodeMCU. Berdasarkan tes yang dilakukan, sistemdapat membedakan pengemudi pria dan wanita berdasarkan imput dari PushButton yang diterima. Sistem membaca denyut jantung pengemudi menggunakanPulse Sensor dan memonitoring kondisi pengemudi (normal, abnormal, danmengantuk) pada kondisi jalan yang lurus dengan rata-rata error adalah 1,69%.Sistem mendapatkan lokasi pengemudi menggunakan GPS Module dengan jarakerror terdekat adalah 13,54 meter dan jarak error terjauh adalah 18,66 meter darilokasi sebenarnya. Dan sistem dapat menampilkan data pada real-time databasedan aplikasi mobile, serta mengirimkan notifikasi Telegram ke smartphonekeluarga pengemudi melalui NodeMCU dengan selisih waktu terepat adalah 5detik dan waktu terlama adalah 8 detik pada kondisi internet yang baik.

Klasifikasi Tingkat Ancaman Kriminalitas Bersenjata Menggunakan Metode You Only Look Once (YOLO)

The research aim to recognize potential weapon threats through object detection on camera. This research utilize YOLO (You Only Look Once) method in object detection which implemented on Raspberry Pi 4. The process was by detecting object from the camera and classify the object class in 2 available classes : Gun and Knife. Meanwhile, in the classifying process, it also count the object in every classes. When the system detect object in the process, it will send notification in terms of threat level through android application so that the user or operator can mitigate the threat immediately. From the research, we achieve the mAP of 85.12% in which YOLOv4 tiny is used and the testing is done inside a room environment. In its application in detecting weapon in Raspberry Pi 4, the result is around 1.53 fps (frame per second), in which is accommodate to be implemented on, but with a very limited fps.

Rancang Bangun Sistem Pemberian Pakan Ikan Secara Otomatis Berdasarkan Perilaku Ikan Menggunakan Kamera Berbasis Mini PC

This research was conducted because fish feeders are often forgotten by fish owners, so the researchers created an automatic fish feeding system using the Raspberry Pi, Camera Module-v2, Accelerometer Sensor, and Servo Motor. The way this tool works is the reading of water ripples carried out by the accelerometer sensor which later can get a trigger value to turn on the camera module-v2 and take pictures of the fish, the resulting image will be processed to identify the fish's mouth and calculate the number of fish mouths that appear to the surface. When the system can detect the number of fish mouths, the fish is hungry and the servo motor will open the food valve to release the fish food, but when the number of fish mouths is 0 or not detected, the servo motor will not open.

Rancang Bangun Smart Case Sistem Monitoring Tabung Gas Elpiji Berbasis Mikrokontroler

This study aims to create a system that can monitor gas cylinders where this device consists of two systems, the first is a system to measure the weight of 3kg LPG gas cylinders to find the remaining gas which will then be displayed on the LCD, and the second the system gives a notification (alarm) if there is a gas leak via SMS. This system consists of Arduino UNO Microcontroller components, Load cell Sensor, MQ-6 Sensor, and SIM800L GSM Module. For overall system testing, the load cell sensor system can display a percentage of the weight value obtained an error rate of 0%, this indicates that the formula used in the program runs according to what is desired. In the MQ-6 sensor system can make the buzzer on at a value >= 700 ppm, the results of the buzzer can live when the detected gas value >= 700 ppm, this is as desired. In the sim800L gsm module system can send leak notifications, the results obtained that the module can send SMS notifications. And the system turns on the buzzer when the LPG gas has reached the minimum limit, the results obtained by the buzzer will sound when the remaining gas value <= 16%. Based on tests conducted on this system the system can measure the desired weight of the cylinder to look for the remaining gas in the form of a percentage and detect a gas leak and then send an SMS notification.

Rancang Bangun Robot Pengangkut Sampah Pintar Menggunakan Mikrokontroler

Humans are living things that like all things that are clean and beautiful to look at, including environment around them. Nowadays, there are many people that conscious and care about environmental hygiene, but there are many of them that do the otherwise. Managing trash can in their residential area is one form of human awareness of environmental sanitation. Human's responsibility in keeping their health and the environment is not only to dispose of trash in its place but also to manage a fully loaded trash can. Because of the waste management problem, the writer made a smart garbage transport robot, which is a fully loaded trash can or a trash can that has methane in it can move automatically from a residential area to its landfill. Components that used to detect the condition of a trash can are Ultrasonic sensor that used to identifies a fully loaded trash can; MQ-4, a methane gas sensor to detect methane gas's level in the trash can; and photodiode sensor for the automatic trash can robot's line tracking to the landfill. The success rate of garbage transport robot is 4 out of 4 trials.

Sistem Monitoring Kendaraan Dinas Secara Real-Time Dengan Menggunakan Metode Geo-fence Berbasis Android

This study aims to be a means in preventing the misuse of official vehicles. By using a geofencing system to monitor vehicles using Android. Because many government employees use official vehicles for personal use. In this system an application that has been installed with a geofencing system is installed on the smartphone. Then the system can track the gps of the vehicle you want to monitor. So that official vehicles can be monitored for their existence and the use of vehicles in a government agency can be used effectively and there is no misuse of state facilities.

Kontrol Suhu Rice Cooker dengan Metode Fuzzy Logic Sebagai Slow Cooker dan Memanaskan Makanan Menggunakan Aplikasi Android

There is many electronic equipment that can facilitate the work in cooking. Some of these electronic equipment uses a large amount of electricity. For example in the use of electronic cooking tools such as microwaves, slow cookers and rice cookers. All three cooking utensils have more similar uses, namely in cooking and heating food. Therefore, it is combined into a rice cooker by using temperature control in the porridge cooking mode and setting the time for heating the food. In order to add the slow cooker feature to the rice cooker, the fuzzy logic method is used to control temperature and set the heating time on the microwave feature. On the use of a rice cooker, an Android application is made to select the desired cooking method. The results obtained are the features of slow cooker cooking porridge that is cooked for 2 hours the temperature will be stable at 60 minutes with an average temperature of ± 90.8 ° C, cooking porridge for 4 hours the temperature will be stable at 50 minutes with an average of average temperature ± 81.9 ° C, the cooking porridge for 6 hours the temperature will be stable in the 45th minute with an average temperature of ± 72.4 ° C. While in the microwave feature the results obtained for the length of time required to heat food, the more food heat to be produced.

Tabungan Pintar Berbasis Single Board Computer

Pada saat ini celengan atau tabungan mulai ditinggalkan karena banyak orang menyimpan uang di bank. Namun jika dimaksudkan untuk menabung harian maka kurang efektif memilih bank. Hal ini membuat masyarakat tidak lagi menanam tabungan harian yang sangat bagus untuk ditabung sehari-hari. Masalahnya juga karena umumnya wadah untuk menabung sehari-hari yang disebut celengan umumnya berukuran kecil dan mudah dibuka atau kebanyakan hanya rusak. Maka dibutuhkan celengan yang praktis dan canggih serta tidak mudah untuk dibawa sehingga membantu agar penabung tidak mengendalikan kesabarannya dalam menabung. Untuk membuat kotak tabungan yang canggih maka diterapkan embedded system yang dapat membuat rencana tabungan dengan fitur deteksi uang nominal menggunakan metode deteksi objek sehingga nantinya tabungan dapat menghitung jumlah uang yang disimpan dan penabung dapat melihatnya. YOLO merupakan salah satu metode deteksi objek yang dapat diterapkan. Sebelumnya penabung dapat membuat rencana tabungan dengan memasukkan target simpanan maksimal yang diinginkan dan target simpanan lama yang dibutuhkan agar penabung dapat lebih terstruktur dalam menabung karena memiliki tujuan yang jelas dalam perencanaannya.