Berdasarkan hasil penelitian untuk mengukur minat baca mahasiswa di Perpustakaan Akper RS. Dustira Cimahi dapat dilakukan dengan mengunakan metode clustering. Dalam penelitian ini menggunakan data perpustakaan yaitu database Perpustakaan Akper RS. Dustira Cimahi yang diambil dari tiga sumber tabel utama seperti tabel visitorlog, tabel koleksi dan tabel anggota yang kemudian akan dilakukan pengintegrasian lalu diseleksi agar dapat disatukan menjadi sebuah data warehouse. Dalam menggunakan data mining dilakukan pengecekan dari mulai judul koleksi buku untuk mengetahui judul buku yang sangat diminati oleh mahasiswa dan mahasiswa tingkat berapa yang paling banyak meminjam buku dan juga paling banyak buku yang dibaca diperpustakaan Akper RS. Dustira Cimahi. Dari Informasi tersebut dapat disimpulkan bahwa mahasiswa tingkat akhir lebih suka meminjam dan membaca buku daripada mahasiswa yang masih semester awal. Buku dengan judul Pengantar Kebutuhan Dasar Manusia paling sangat diminati dan banyak dipinjam serta dibaca sedangkan judul koleksi buku yang sangat sedikit dipinjam dan dibaca yaitu buku dengan judul Belajar Ilmu Komputer. Dengan menggunakan metode cluster dapat diketahui bahwa kategori buku Keperawatan adalah buku yang sangat diminati oleh mahasiswa sedangkan buku Ilmu Komputer termasuk kategori koleksi buku yang sangat sedikit diminati oleh seluruh mahasiswa keperawatan.
Masjid Al Barakah ialah pusat ibadah umat Islam di Politeknik TEDC Bandung yang memiliki banyak kegiatan keagamaan. Pengurus Masjid Al Barakah terkendala penyampaian informasi yang masih disampaikan secara lisan pada hari Jumat. Upaya mengatasi kendala dalam mengelola kegiatan masjid dibutuhkan aplikasi informasi kegiatan masjid berbasis web sehingga dalam menyampaikan informasi pada jamaah lebih mudah dan efektif. Rancangan aplikasi berbasis web ini akan digunakan oleh Masjid Al Barakah. Perancangan aplikasi ini menggunakan metode penelitian System Development Life Cycle (SDLC). SDLC Prototype mempunyai 4 (empat) tahap (analisis kebutuhan user, membuat prototype, menyesuaikan prototype dengan keinginan user, dan menggunakan prototype). Aplikasi diuji dengan menggunakan metode black box (uji aplikasi) dan User Acceptance Test (UAT). Hasil uji terhadap 7 responden terhadap 3 variabel (desain, fitur dan kepuasan pengguna) menunjukkan bahwa secara keseluruhan (90,5%) rancangan aplikasi telah sesuai dengan kebutuhan pengguna.
than studying. Submission of teaching materials in a conventional way will be boring to be followed by students in class. It is necessary to improve teaching methods that are able to attract students' interest in learning to be motivated in participating in teaching and learning activities. The design of interactive learning media with the instructional games model aims to increase the interest of students so that they can receive teaching materials in a good and fun way. The method used in this research is Research and Development (R&D). To analyze students' learning motivation, a field survey questionnaire was used which was given to 33 students of Class XI SMA Negeri 1 Plered. There has been an increase of 8.22%, where the initial motivation of students is at the percentage of 62.88% increasing to a percentage of 71.10%, which can also be interpreted that the use of interactive instructional games learning media is able to increase student learning motivation.
Problems occurred at the Sukatani Health Center is that they do not have their own information system; they still use applications provided by the Health Office; furthermore, they have not fully utilized technology, only partially in processing reports. In accordance with the existing fact that the utilization of information systems is beneficial in business process activities. Hence, it is necessary to plan or design Information System architecture at the Sukatani Health Center to facilitate activities in carrying out business processes, especially in medical services and medical support in order to be more effective and efficient. Based on the research, information system architecture planning at the Sukatani Public Health Center is divided into two architectures: data architecture and application architecture. The data architecture resulted in a classification of 47 classes’ data from all business processes. The application architecture resulted in the classification of 21 application candidates in 6 information system areas; namely the patient admissions information system area consisted of 4 application candidates, the medical service information system area consisted of 6 application candidates, the medical support information system area consisted of 2 application candidates, the pharmacy installation information system area consisted of 3 application candidates, the nutrition installation information system area consisted of 2 application candidates, and the payment information system area consisted of 4 application candidates.
The existence of abundant UMKM data sources can be used to dig up information. Classification is one of the techniques to explore hidden data owned by data mining. Data mining classification methods, one of which is the Support Vector Machine (SVM) algorithm. The SVM algorithm has proven better results than the KKN, Decision Tree and Linear Regression algorithms. In the classification process, the accuracy and time efficiency results obtained are very important. So optimization is needed in order to increase accuracy and time efficiency during the classification process. The optimization of the SVM algorithm was carried out using the K-Means algorithm for the clustering and continuous process on UMKM data and the feature selection process using Particle Swarm Optimization (PSO). This paper aims to optimize the accuracy of the data in the form of type of business, business and turnover. From the results of the discussion of the SVM method using K-Means and PSO, it gives an average accuracy of 55% but 0.12% lower than SVM just using PSO. Keywords: UMKM, Clustering, K-Means, SVM, PSO
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.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.