Penerapan Algoritma Cosine Similarity untuk Deteksi Kesamaan Konten pada Sistem Informasi Penelitian dan Pengabdian Kepada Masyarakat

Abstract

Research and community service activities are the obligations of a lecturer that must be carried out from part of the Tri Dharma of Higher Education in addition to teaching, where research activities should have a level of innovation in the form of development or discovery of something new, but with a large number of lecturers, this results in research activities. and community service has many similarities with previous activities. At the Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM), Pamulang University, experiencing several problems in the management of research and community service activities, namely the absence of a system used to manage research and community service activities and data related to the track record of research and community service activities that have been carried out by 2,613 lecturers who impact on the difficulty in finding data, efficiency of storage space and more importantly is the number of similar proposals in the research itself. The research carried out aims to develop an information system that can process research and community service activities and detect similarities in content by applying the Cosine Similarity algorithm, so that it can overcome existing problems. The system development method uses a waterfall. From the results of making the system that has been carried out, it shows that the system is capable of processing activities in the field of research and community service carried out by lecturers, supporting storage, and facilitating screening of proposals for research and community service activities that will be approved.

TF-IDF Implementation for Similarity Checker on The Final Project Title

“…The following is a study that uses the Cosine similarity Algorithm. The implementation of the Cosine Similarity Algorithm for Detection of Content Similarities in Research and Community Service Information Systems [10]. This study utilized the Cosine Similarity algorithm to check the level of similarity in the content of research proposals and community service which submitted.…”

Tourism Destination Article Search Features using TF-IDF and Cosine similarity

“…Its basic principle involves measuring similarity in a vector space (vector space similarity measure). The cosine similarity algorithm uses keywords in a document to calculate the similarity between those documents, expressed in vector form [4]. One of the drawbacks of the Cosine Similarity method is its failure to consider word frequency in the document.…”

“…The previous research on the development of an information system for the processing of research and community service activities (PKM) with the implementation of the Cosine Similarity algorithm has provided a strong foundation for the current research titled "Application of TF-IDF and Cosine Similarity Algorithms on Tourism Destination Article Search Features." The previous research demonstrated that using the Cosine Similarity algorithm in detecting content similarity successfully addressed the issue of proposal similarity in research [4].…”

Pentingnya metodologi penelitian dalam pastoral berbasis data di keuskupan Surabaya

“…Dari bagian tri dharma perguruan tinggi, kegiatan penelitian dan pengabdian kepada masyarakat merupakan kewajiban seorang dosen yang harus dipenuhi selain mengajar, dimana penelitian harus memiliki tingkat inovasi berupa mengembangkan atau menemukan sesuatu yang baru, namun dengan banyaknya Kegiatan dosen, penelitian dan pengabdian kepada masyarakat semakin meningkat seperti kegiatan sebelumnya (Nugroho et al, 2021). Penelitian dan pengabdian kepada masyarakat merupakan dua Dharma yang harus diikuti oleh dosen (Fauziah & Retnoningsih, 2020); (Lidar, 2021).…”