Artificial intelligence (AI) merupakan bidang ilmu pengetahuan yang saat ini menjadi isu yang menarik dan masih diteliti secara luas. Salah satu cabang dari pengembangan AI adalah computer vision yang di dalamnya terdapat topik pembahasan image classification dan object detection. Machine learning dapat dimanfaatkan di dalam bidang computer vision untuk melakukan object detection dan image classification, yaitu dengan menggunakan algoritma Convolutional Neural Network (CNN). CNN banyak digunakan pada penelitian terdahulu karena akurasinya yang tinggi. Pada penelitian ini, CNN digunakan untuk mendeteksi jenis penyakit daun tanaman kelapa sawit, dengan dataset sebanyak 60 gambar, dimana 50 diantaranya merupakan daun dengan 5 jenis penyakit berbeda, yaitu Curvularia sp, Cochliobolus carbonus, Capnodium sp, Drecshlera, dan defisiensi unsur hara. Sedangkan 10 sisanya merupakan gambar daun sehat. Hasilnya, CNN dapat mendeteksi penyakit daun kelapa sawit dengan akurasi yang dihasilkan mencapai 99%.
Konsep Virtual Reality dengan animasi 3 Dimensi menjadi sebuah inovasi pada kegiatan pameran secara online pada saat pandemic.Tujuan dari penelitian ini adalah sebuah penerapan racangan 3D pada sebuah platform pameran dengan konsep marketplace di 3D Virtual Reality. Adanya penerapan Occlusion Based untuk membangun e-Matketplace sehingga konsep 3D Virtual Exhibitionnya hidup. Sehingga sistem pameran akan terlihat nyata, terlihat adanya animasi, sebuah konsep gedung, dan ada sistem manajemen web backend sehingga mudah dalam mengkontrol sistem aplikasi ini nantinya. Metode Pengembangan sistem yang cocok dalam pengembangan aplikasi ini adalah dengan metode ADDIE yaitu Analysis, Design, Development, Implementation, and Evaluate. Dari hasil yag dirancang didapat sebuah konsep pameran dengan suguhan berbeda, dan banyak konsumen yang tertarik dengan konsep virtual reality. Karena konsep ini dibangun dengan metode Occlusion Based sehingga menjadikan sistem pameran ini seperti nyata.
Advances in information technology are one of the potentials that are useful in improving learning methods. Currently, content and media that are directly related to science can be more interactive and interesting for students to trigger interest in learning. Internet technology can remove limitations in various information and provide learning materials more easily. However, there were still many teachers who focus on traditional and oral teaching approaches, even using less learning media. The use of learning media is very important for the teaching and learning process and the role of the media can be used in every discipline to enhance learning in the classroom and outside the classroom. The problems that have arisen so far indicate that teaching uses abstract concepts were not easy to be presented in both verbal and visual forms. Another goal was that visual media can be more easily understood and be easily accessed by students than text media. Therefore, another goal of this service was to train educators at SMA 1 Lhoksemawe to become more familiar with the latest learning media to be applied in the teaching and learning process. From the results of this communty service it is expected that teachers can use several multimedia in learning which is a combination of text, graphics, animation, images, video and audio which help students understand the material more easily.
Setiap aparatur desa mempunyai tugas dan wewenang yang telah diberikan kepada mereka. dalam hal ini kepala desa mengeluh bahwa banyak aparatur desa yang kurang berkompeten dalam hal penguasaan media teknologi informasi dalam hal mendukung kinerja untuk melayani masyarakat khusus nya Microsoft Office. sebagaimana diketahui Microsoft Office memiliki banyak fitur dalam hal menangani urusan kantoran. oleh karena itu dilakukanlah kegiatan pengabdian berupa patihan Microsoft Office bagi aparatur desa Uteun Kot. selama pemateri memberikan pelatihan, terlihat peserta sangat antusias dan mengikuti oelatihan dengan baik. kegiatan pengabdian ini mendapat respon positif dari aparatur desa dan kepala desa. ini terlihat dari jumlah peserta yang hadir cukup banyak.
The heart is the central center in the human circulatory system. A malfunction of the heart that is not functioning is a condition in which the heart cannot carry out its duties properly. Selection of features that can reduce a very large dataset and in a data set that is not suitable can use a reduction model. The classification process is strongly influenced by an attribute. Various types of inappropriate redundancy have a negative effect on classification accuracy. Heart disease data was taken from the UCI Machine Learning Repository dataset. In this study, the researchers used the K-Nearest Neighbor (KNN) algorithm where the K-Nearest Neighbor algorithm can classify the results of heart disease accurately. The results are as follows 1.67358 rank one 1.33949 rank two, 1.27260 rank three, 1.2528 rank four, 1.24193 rank last
The rapid development of information technology is in line with the development of computational methods that help solve various problems, one of which is the method of decision support systems. Higher education institutions, especially Malikussaleh University, have many scholarship programs like the Academic Achievement Improvement Scholarship or PPA. PPA is a scholarship that has existed since 2012 which was launched and allocated by the Ministry of Research, Technology and Higher Education with a focus on aspects of improving academic achievement. However, the selection system is still conventional or manual, so it takes longer. This study aims to implement a decision-making system in an application to recommend PPA scholarship recipients automatically. The existence of an automatic decision-making system will be more efficient and effective to help speed up the process of making decisions based on the criteria they have. Some of the assessment criteria used include GPA, semester, the total income of parents, and the number of dependents of parents. Also, the alternative data used are 825 data. The method applied to the system is the Preference Selection Index (PSI) method, which is used as a reference for ranking results and measuring accuracy. In this method, it is not necessary to determine the relative importance between the criteria. In addition, this method does not have certain conditions that require calculating the weight of the related criteria in decision-making problems. The research steps used are the waterfall model with several main stages, namely planning, modeling, implementation, and testing. This system is built using PHP as the programming language and MySQL as the database. Based on system testing, it is found that the system is following the design and can provide ranking results in the form of recommendations for scholarship recipients with a comparison of stakeholder decisions and that the system using the PSI method is 66%. The PSI method can be implemented by displaying each alternative's most considerable PSI value by displaying the ranking results. This PPA Scholarship Acceptance DSS application can be used as an alternative to making it easier for related parties to determine who is entitled to receive the scholarship.
Today's information technology is very important during this pandemic, the internet appears as a savior for the learning process in schools that have been stopped due to concerns over the transmission of the COVID-19 virus. The use of E-Learning Applications, video conferencing, Google Meet is a substitute for the closed face-to-face communication space in learning. Based on the results of survey in SMK Negeri 2 Lhokseumawe schools, that use the E-Learning method an alternative to solving learning problems to prevent the transmission of the corona virus disease (Covid-19). Second, the preparation of scientific documents to make reports is very important and the development of financial reports with office excel. The current problem is the lack of understanding of students in providing material by using Moodle application tools, secondly, the lack of understanding of material delivery in making scientific documents in the form of automatic table of contents with bookmarks. Therefore, the importance of this training for teachers and new students in understanding the applications developed. The implementation method is the activity process begins with the provision of material starting from the introduction of web services, Moodle software installation. How to set courses, course management and user management by utilizing the Moodle application. Teachers are also taught the process of uploading materials and online quizzes. Students not only get office materials but also get a way of compiling a table of contents automatically with bookmarks. The results of this service have an impact on schools regarding problem solving in the application of E-learning, post-test questions and answers, and assignments. Furthermore, there are interesting bookmarks that are of interest to students in improving student learning in preparing financial reports and documents.
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