The conventional learning process carried out face-to-face, is less effective as a source of learning, because the focus of students' interest has now shifted to their device so that students have difficulty repeating learning material. This study aims to produce learning media based on mobile learning on the android platform which is used as a source of learning fiqh applications for students. This mobile learning application is built by applying the Fisher Yates Shuffling algorithm or commonly known as the Fisher Yates algorithm which is now widely used in the process of developing randomization applications. This randomization method is the optimal randomization method in application development, being able to randomize the amount of material about the science of jurisprudence and prevent cheating users who only memorize answers without understanding the material when the questions are fixed or not random. Applications are built using MySQL as a database designed to manage and manipulate data quickly and easily. PHP and Perl are used as scripting programming languages for the internet and collaborate on the Android platform. The system development method used is RUP (Rational Unified Process) by collecting various best practices found in the software development industry.System testing is done using a white box and black box testing shows that the Fisher Yates algorithm can be applied in the mobile learning quiz application as a randomizer about questions. User Acceptance Model (UAT) test results show that this mobile learning application can help the process of learning the science of jurisprudence as well as being a reference in seeing the ability of students to learn the science of jurisprudence. Keywords: Mobile learning, Fisher Yates Algorithm, Fiqih, MySQL, RUP, UML
AbstrakBanjir merupakan fenomena yang hampir selalu terjadi setiap tahun di berbagai daerah di seluruh Indonesia dengan bermacam variasi siklus. Pada musim hujan, tingginya curah hujan yang dan daerah aliran sungai yang menyempit dan terjadi pendangkalan, tidak lagi mampu menampung aliran air sehingga terjadi banjir bandang. Mekanisme peringatan banjir berjalan dengan kearifan lokal secara tradisional yang sangat bergantung pada ketersediaan dan kemampuan cepat tanggap dari personal yang ditugaskan mengawasi sungai. Oleh karena itu inovasi pengembangan dari sistem yang ada diharapkan mampu memberikan informasi dan data secara berkala dan menjadi peringatan lebih awal terhadap banjir bandang guna meminimalisir dampak.Pengolahan citra dapat dimanfaatkan sebagai dasar inovasi dari mekanisme peringatan banjir yang ada. Metode Background Substraction dilakukan untuk mendeteksi secara otomatis Tinggi Muka Air (TMA) pada papan kontrol (Peil) melalui IP Camera yang menjadi parameter input bagi sistem dan diolah menjadi informasi bagi pihak berkepentingan. Deteksi level ketinggian air / TMA �berdasarkan penunjukan warna merah pada papan kontrol (Peil) dengan background subtraction, dilakukan pada skala nyata, yang dikembagkan dari penelitian-penelitian sebelumnya. Pengujian dilakukan terhadap proses pendeteksian level ketinggian air yang meliputi jarak jangkauan IP kamera dan sudut dan juga posisi ketinggian IP kamera dengan intensitas cahaya.Hasil analisis deteksi Tinggi Muka Air (TMA) pada papan peil berupa jarak� jangkauan dan sudut� IP kamera dalam mendeteksi dan melacak level TMA yaitu optimal pada jarak 200 - 600 cm dengan sudut 30, 45, dan 60 derajat, �skala TMA Peil dapat terdeteksi dan dapat dianalisis. Pada parameter �posisi ketinggian IP kamera dengan intensitas cahaya, hasil analisis menunjukan bahwa ketinggian posisi IP Kamera dari 1150 � 1250 cm dengn intensitas cahaya antara 786 � 1980 lux,optimal dalam menangkap area Skala TMA Peil agar terdeteksi�Kata Kunci: Banjir Bandang, Pengolahan Citra, Backgroun Subtraction, Level Tinggi Muka Air (TMA).�AbstractFlooding is a phenomenon that almost always occurs every year in various regions throughout Indonesia with a variety of cycle variations. In the rainy season, high rainfall and narrowed watersheds and silting up are no longer able to accommodate the flow of water, causing flash floods. The flood warning mechanism operates with traditional local wisdom that is highly dependent on the availability and responsiveness of the personnel assigned to oversee the river. Therefore the innovation development of the existing system is expected to be able to provide information and data on a regular basis and be an early warning to flash floods to minimize impacts.Image processing can be used as a basis for innovation from existing flood warning mechanisms. The Background Substraction method is carried out to automatically detect High Levels of Water (TMA) on the control board (Peil) via an IP Camera which is an input parameter for the system and is processed into information for interested parties. Detection of water level / TMA based on the designation of red on the control board (Peil) with background subtraction, carried out on a real scale, developed from previous studies. Tests carried out on the process of detecting the level of water level which includes the distance range of the camera's IP and angle and also the position of the IP camera's height with light intensity.The results of analysis of detection of water level (TMA) on the peil board in the form of the range and angle of the IP camera in detecting and tracking the level of the TMA is optimal at a distance of 200-600 cm with angles of 30, 45, and 60 degrees, the TMA Peil scale can be detected and can be analyzed. In the parameters of the IP camera's height position with light intensity, the results of the analysis show that the IP camera's height position from 1150-1250 cm with light intensity between 786 - 1980 lux, optimal in capturing the Peil TMA Scale area to be detected.Keywords: Flash Floods, Image Processing, Background Subtraction, High Level Water Face (TMA)
AbstrakMata pelajaran Biologi merupakan salah satu mata pelajaran yang diberikan kepada siswa/i di SMA NEGERI 1 Kuningan. Pengenalan animalia coelenterta merupakan salah satu materi mata pelajaran biologi yang dipelajari oleh siswa/i dengan menggunakan media pembelajaran konvensional yang digunakan oleh guru berupa buku yang menampilkan gambaran animalia coelenterata 2D, sehingga siswa/i terbatas dalam mendapatkan gambaran lengkap Animalia coelenterata. Proses pembelajaran yang berlangsung belum efektif dan belum dapat meningkatkan antusiasme siswa/i pada saat pembelajaran dikelas. Maka dari itu dengan memanfaatkan teknologi Augmented Reality dapat menjadi salah satu langkah penyelesaian dalam mengatasi hal tersebut. Augmented Reality merupakan teknologi yang menggabungkan benda antara dunia nyata dengan dunia maya berupa objek 3D yang dapat dimanfaatkan dalam pembelajaran pengenalan animalia coelenterata oleh siswa/i, agar pembelajaran pengenalan animalia coelenterata lebih menarik dan tidak monoton karena menampilkan gambaran animasi 3D. Untuk membangun aplikasi pengenalan animalia coelenterata, perancangan menggunakan UML (Unified Modelling Language) serta penerapan algoritma SIFT(Scale Invariant Feature Transform) untuk pendeteksian titik keypoint pada marker. Pendeteksian titik keypoint dilakukan pada marker yang ada didalam program. Aplikasi ini dapat membantu siswa/i dalam mempelajari pengenalan animalia coelenterata karena gambaran animalia coelenterata terlihat lebih nyata dengan Animasi 3D, gerakan animalia coelenterata dan deskripsi animalia coelenterata. Kata Kunci:SIFT, Augmented Reality, Animalia Coelenterata, UML
Flooding is a phenomenon that almost always occurs every year in various regions throughout Indonesia with a variety of cycle variations. In the rainy season, high rainfall and narrowed watersheds and silting up are no longer able to accommodate the flow of water, causing flash floods. Flood Warning Systems operate with traditional local wisdom that is highly dependent on the availability and responsiveness of the personnel assigned to oversee the river. Therefore, the development innovation of the existing system is expected to be able to provide information and data regularly and be an early warning to flash floods in order to minimize the impact. This research was conducted to design, create and implement an image-based flash flood early warning system prototype based on an Android cellular phone so that the public is expected to be able to access information on possible flash floods through their respective cell phones. Image processing is the basis of this development innovation through the Background Substraction method which is carried out to automatically detect High Levels of Water (TMA) on the control board (Peil) via an IP Camera which is an input parameter for the system and is processed into information for interested parties. The results of analysis of the detection of water level (TMA) on the peil board carried out on the server computer, become input parameters for determining the status of the dam water level. Flood early warning application that is installed on Android smartphone devices receives data from the server computer via the internet network.
One of the cultures of Kuningan Regency that still exists today is traditional musical instruments whose numbers and types, historical information and how to play are increasingly rare to be introduced in schools and studios. One of the efforts to preserve and introduce traditional musical instruments in Kuningan Regency to the community, is by holding annual traditional musical instrument festivals, but these efforts have not been able to increase public knowledge about information from traditional musical instruments in Kuningan Regency. Technology that is able to provide information on traditional musical instruments and is able to be attractive and interactive is absolutely necessary as an alternative effort. Augmented Reality application by implementing the FAST Corner Detector algorithm can be built as an alternative to the introduction of traditional musical instruments in Kuningan Regency. This application was built using the RUP (Rational Unified Process) system development method. Application of Augmented Reality Introduction to Traditional Musical Instruments in Kuningan Regency can provide information about the types of musical instruments as well as examples of sounds and videos on how to play traditional musical instruments as a means of media in an effort to preserve traditional musical instruments in Kuningan regency in society, especially the younger generation.Keywords : Augmented Reality, FAST Corner Detector, Rational Unified Process,Traditional musical instrumen
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.