Emergency Reporting Application is an Android-based application that serves to help the community in reporting the emergency condition. This application allows users to choose and contact the emergency services office, without the need to notice their position and phone number. Selection of emergency services office is also automatically selected by the system by taking into account the distance between the complainant and the emergency services office. The selected emergency services office is the nearest emergency service office from the complainant so that the delay in coming assistance can be minimized. Therefore, this proposed application requires a GPS (Global Positioning System) feature recording, reporting and SMS (Short Message Services) positioning for message delivery of reports. The distance between the position of the complainant and the position of the emergency service office, in the form of latitude and longitude data, is requested using the Haversine formula taking into account the degree of curvature of the earth. Emergency service offices include police and hospital offices spread over 25 different districts. Furthermore, the reporter's position calculation results were compared with all selected emergency service offices and obtained 1 nearest emergency service office. Calculating the accuracy and delay value of the system will do system testing. Accuracy test results using the method of 100% Haversine and the average delay of the system is 4.5 seconds.
Technological developments are needed in the completion of a job both working automatically and manually with good results. In this need, a technology is used which has certain advantages in a matter. For example, a room cleaning device that is a vacuum cleaner that is often used by housewives to clean dirt and dust is used because it can ease the work, the vacuum cleaner that is currently in use by manual and automatic. This study proposes a controlling mobile vacuum cleaner by utilizing an accelerometer sensor found on a smartphone with Bluetooth communication media between robots and smartphones. An accelerometer is used to control the motion of a robot by taking changes in values from the slope angles X, Y and Z. With the vaccum cleaner robot, it is hoped that it can provide better work results in cleaning the room from dirt and dust, as well as providing convenience in controlling the vaccum cleaner robot for ordinary people. From the results of manual control trials on the robot, the accuracy of the control accuracy is 95%. The maximum range of Bluetooth signals reaches 30 meters without obstacles and there are obstacles. This vacuum cleaner robot can suck up dirt in the form of torn paper, sugar and coffee.
Saat ini pemantauan akuarium masih dilakukan secara manual yakni masih dipantau dengan cara harus melihat langsung secara terus menerus di akuarium. Jika sistem pemantauan tersebut digantikan dengan menggunakan sistem yang lebih modern akan sangat memudahkan para pemelihara ikan itu sendiri. Salah satu sistem yang diusulkan untuk mengatasi permasalahan tersebut adalah Sistem monitoring akuarium secara realtime berbasis mikrokontroler. Sistem ini menggunakan sensor turbidity, sensor ultrasonik, sensor pH dan sensor LM35 yang berfungsi untuk mengukur tingkat kekeruhan air, ketinggian air, keasaman air dan juga suhu air yang terhubung dengan website monitoring akuarium. Sistem ini memudahkan untuk pemelihara ikan dalam memonitoring akuarium tanpa harus melihat akuarium secara langsung. Sistem yang dibuat menggunakan framework django base python dan SQLite sebagai databasenya. Sistem ini diuji di Politeknik Negeri Bengkalis, menggunakan akuarium mini. Sistem ini berhasil dengan baik dengan menampilkan data tingkat kekeruhan air, ketinggian air, keasaman air dan juga suhu air. Data yang didapatkan ditampilkan di website dalam bentuk grafik dan angka.
AbstrakInformasi mengenai data persebaran ikan merupakan informasi yang sangat berguna untuk nelayan dalam menemukan lokasi persebaran ikan. Informasi tersebut dikeluarkan oleh Balai Riset dan Observasi Laut dari kementrian Kelautan yang berupa data lokasi latitude dan longitude. Layanan ini berupa peta digital, peta tersebut kita kenal dengan Peta Perkiraan Daerah Penangkapan Ikan (PPDPI). Pada kenyataannya masih banyak nelayan yang kurang memanfaatkan informasi tersebut yang menyebabkan hasil tangkap ikan oleh nelayan kurang maksimal. Penelitian ini membuat prototipe perangkat portabel navigasi untuk menemukan lokasi sebaran ikan. Prototipe bekerja berdasarkan data informasi yang berupa data latitude dan longitude dari Balai Riset dan Observasi Laut. Dengan memasukan data persebaran ikan maka jarak lokasi dan arah lokasi target dapat diketahui. Data informasi dapat dimasukkan kedalam prototipe navigasi dengan menggunakan komunikasi bluetooth yang kemudian data tersebut diolah oleh mikrokontroller. Sensor yang digunakan dalam perangkat adalah sensor GPS dan sensor kompas. Hasil penelitian didapatkan prototipe navigasi dapat menghitung jarak lokasi tujuan terhadap lokasi awal dengan tingkat error sebesar 0,59% dan pengukuran sudut target lokasi tujuan dengan tingkat error sebesar 0,97%. Kata Kunci: Data lokasi persebaran ikan, Jarak lokasi target, Sudut target, Modul Bluetooth Arduino Abstract Data on the distribution of fish is very useful for fishermen in locating fish. Thedata is issued by the Marine Research and Observation Center of the Ministry of Maritime Affairs and Fishery.Itprovidesinformation about latitude and longitude locationin the form of a digital map, the so-calledMap of the Estimated Area of Fishing (PPDPI). In fact, many fishermen do not use the information which results innonoptimal fishing. In this research, the researcher makes a prototype of a portable virtual assisstant to find the location of fish. The prototype works by receiving data on fish distribution in the form of latitude and longitude, from the Marine Research and Observation Center. By entering the fish distribution data, the location and direction of the target location can be found. The data is transmitted to the portable virtual assistant by using bluetooth and then processed by the microcontroller. The sensors used in the device are GPS sensor and compass sensor. The result shows that the portable virtual assistant can calculate the distance to the target location with a error rate of 0,59%, and the target angle with a error rate of 0,97%.
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