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Smart Door Lock is a development of a conventional manual home door lock or padlock. This study aims to create alternative technology at home by utilizing available lock technology. This study uses an Arduino Uno Microcontroller as the brain of the solenoid and as a power supply for the fingerprint scanner, and an esp 32 microcontroller as a tool for sending fingerprint data to firebase. The fingerprint scanner is run using the Arduino Ide to add fingerprints. Arduino programming is done using the Arduino IDE. The results of the study are described in the form of designing an automatic home door lock using a fingerprint scanner and Arduino as a solenoid control. The fingerprint data results will be visible in firebase

Furniture has high added value and significant global competitiveness, largely due to the diversity of natural raw materials available in Indonesia, such as wood, rattan, and bamboo, as well as distinctive and high-quality designs. This advantage is supported by the skills and competence of the available human resources, making Indonesian furniture superior to products from other countries. Product quality is a key element in winning market competition, as it impacts customer satisfaction and loyalty. Masnur Joglo, a furniture company located on Jl. Muara Karya, specializes in producing various types of furniture from high-quality woods such as super mahogany and red teak. However, the purchasing system, which requires customers to visit the store directly and manually record prices, results in inefficiencies in terms of time and transportation costs. Customers often need to visit multiple stores to find the desired product, which is an inefficient process. To address these challenges, this study proposes the development of an Android-based sales application as a solution. This application is designed to expand Masnur Joglo's market reach and facilitate online ordering of furniture products, anytime and anywhere. The study aims to design and develop an Android-based sales information system that can enhance operational efficiency and streamline the sales process while better meeting customer needs. The application development method employs the waterfall model and uses MySQL and Firebase databases.  

Hipertensi merupakan salah satu penyakit tidak menular yang umum terjadi di dunia. Salah satu penyebab umum hipertensi adalah pola makan yang tidak sehat. Dalam menanggapi hal tersebut, Dietary Approach to Stop Hypertension (DASH) disarankan sebagai pola makan yang efektif untuk mengurangi tekanan darah. Meskipun telah terbukti efektif, penderita hipertensi masih belum dapat menerapkan pola makan tersebut secara konsisten. Salah satu faktor penghambat penerapan pola makan DASH adalah ketidaktahuan penderita hipertensi dalam memodifikasi pola makan sesuai anjuran yang ada. Berdasarkan permasalahan tersebut, penelitian ini bertujuan untuk merancang pembuatan aplikasi pola makan DASH bagi penderita hipertensi berbasis mobile yang dapat memberikan rencana makan sesuai pola makan DASH. Rencana makan dalam jangka waktu tujuh hari yang dibuat setiap harinya meliputi sarapan, makan siang, dan makan malam. Menu makanan akan dirancang dan disesuaikan dengan jumlah kebutuhan kalori harian. Penderita juga dapat memantau asupan natrium sesuai dengan makanan yang telah dikonsumsi. Sebelum mengembangkan aplikasi, usability testing dilakukan menggunakan metode heuristic evaluation untuk mengevaluasi desain pada prototype. Pengembangan aplikasi dilakukan menggunakan metode waterfall model dengan arsitektur BLoC. Aplikasi mobile dikembangkan menggunakan bahasa pemrograman Dart, framework Flutter, Bloc, Firebase, dan Edamam untuk sistem operasi Android. Pengujian black box kemudian dilakukan dengan metode functional testing. Setiap fitur yang diujikan berhasil berjalan sesuai yang diharapkan dan dinyatakan lolos pengujian. Hasil penelitian menunjukkan bahwa aplikasi Milda dapat digunakan oleh penderita hipertensi untuk menjalankan pola makan sehat dengan memberikan rencana makan sesuai dengan pola makan DASH. Rencana makan yang diberikan mendorong penderita hipertensi untuk memulai atau mencoba kembali pola makan DASH. Selain itu, variasi menu makanan yang menarik juga mendorong penderita hipertensi untuk lebih konsisten dalam menjalankan pola makan DASH.

Honey is a natural liquid that contains a lot of sugar produced by bees (genus Apis) from flower nectar and has a sweet taste. Honey contains a multitude of benefits that are good for the body, including being a source of nutrients, improving body metabolism, anti-bacterial, and others. The purpose of designing the Honey Harvest Monitoring System with ARDUINO-based IOT is to help breeders maximize honey harvesting results. This study aims to design an intelligent system for controlling the temperature in bee hives, humidity in bee hives, and monitoring honey yields, measuring the temperature and humidity of the storage room using DHT 11 sensors, and monitoring honey harvest time using Load Cell sensors. The temperature and humidity controller in the cage uses a blower/fan. Sensor data will be processed using the Wemos D1 R1 microcontroller and then sent to an Android application via the internet network using a real-time Firebase database so that it can be accessed anywhere and anytime. The way this system works is that if the room temperature is >38 degrees Celsius, the blower/fan will turn on, and will turn off if the temperature is 40%, the artificial window will open and will close if the humidity is

In everyday life, trucks are used to transport goods. Not infrequently seen a lot of use of trucks that exceed the carrying capacity. Accidents on the highway include the impact caused by trucks that are overloaded or overloaded. The purpose of this study is to reduce the risk of accidents due to overloading or overloading. The truck load monitoring system aims to make it easier for truck users to see the truck load weight directly through a smartphone with an application. In addition, users can also see the excess weight of the load and there is an overweight indicator in the form of a buzzer. With this system, users can reduce the risk of accidents on their vehicles. This system consists of a load cell sensor and HX711 module as a weight detector, NodeMCU as a microcontroller and data transmission, firebase as a database, and android studio as a container for creating applications. Payload weight data can be monitored remotely or close according to the principles of the Internet of Things (IoT). The results of this study indicate that the system works well with the sensor accuracy level on the prototype truck 1 and truck prototype 2 above 95%. Writing data on firebase, reading firebase through the application and testing the buzzer has a 100% success rate percentage. There is no diference transmission delay between serial monitor and firebase.

By looking at current technological developments that already use automatic sensors, the application of the concept to this system can be a solution for dealing with ornamental fish farming owners. In this research, a tool is made that can perform feeding, checking temperature, water turbidity, feed level, water level and water pump control, from this information will be sent to android by firebase automatically monitored and controlled anywhere via android. This tool is designed with ease of maintenance and is an extension of the existing tools. IoT technology is used to monitor online, based on Firebase and Nodemcu Esp8266. In this study, researchers used the research method of the Borg and Gall (1987) model from 10 steps to 6 steps. The results of this study were carried out by an expert validation test to get a value of 30 which means "Very Good (Valid)". While the effectiveness test by 10 users plus by experts and employee users get a total score of 35.16 which means the effectiveness test is classified as "Very Good (Valid)" it can be said that the new system is more effective than the old system.

This research was carried out by comparing the DS18B20 sensor and the MLX 90614 sensor to detect the accuracy of detecting human body temperature which is used to detect Covid 19 symptoms. In this experiment, 10 trials were carried out with different human segments detected using the sensor. In the experiment, it was found that the MLX90614 sensor is more suitable to be used for development with an IoT-based system because it does not need to come into contact with the skin of the human body. The MLX90614 sensor will detect the temperature and change it to one Celsius unit then send it to the firebase database which will then be picked up by the android application which is held by the security officer so that the temperature can be known remotely. When the temperature is more than 38.5 Celsius it will turn on the buzzer sound which can be heard from a distance which indicates the temperature is above 38.5 Celsius and on android will also display a danger sign

Security aspects is needed in various fields of life today. Safety is becoming a concern for everyone. One of the important concerns is the security of the room. The indoor security system uses Raspberry Pi and RFID based Firebase Cloud Messaging and Motion Detection Camera, is a room security system that includes expensive equipment, so this device is designed for protection or robbery and also provides assistance in advance. . The security system in this room consists of several parts, namely Raspberry Pi as a brain system, selenoid door lock as an electric lock on the door, RFID system and CCTV camera as a detector of the amount of human movement, PIR sensor as a detector of human temperature, alarm as an indicator of intruders which transfers rooms, and database applications as user storage databases for security recorders