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Perancangan Aplikasi Go Grouph Math sebagai Sarana Penyelesaian Tugas Kelompok Shinta Dwi Handayani; Aulia Paramita; Alusyanti Primawati
SAP (Susunan Artikel Pendidikan) Vol 5, No 3 (2021)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (546.745 KB) | DOI: 10.30998/sap.v5i3.8109

Abstract

The purpose of this research is to design an android-based groupware called Go Group Math as part of the media or application to support group work in particular which can later be used for mathematics subjects. The method used in this research was Research and Development (RnD) using the ADDIE model, namely Analyze, Design, Development, Implementation, and Evaluation. Activities in research carried out in this research have only reached the stage of designing a screen display that will be used later in the application development stage using various database sources. The results of this study discovered that there was already a display screen design that will be used as a screen display on an Android smartphone. This research was expected to be useful for various groups in the world of education, especially teachers, lecturers, students, and students.
PENGEMBANGAN APLIKASI PENGADAAN DAN PENGELUARAN BARANG PADA LEMBAGA PENJAMINAN MUTU PENDIDIKAN (LPMP) DKI JAKARTA AULIA PARAMITA
Faktor Exacta Vol 6, No 4 (2013)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.322 KB) | DOI: 10.30998/faktorexacta.v6i4.237

Abstract

Tujuan penelitian adalah untuk membuat suatu sistem pengadaan dan pengeluaran barang, dimana sistem tersebut merupakan hasil pengembangan dari sistem yang sudah ada dengan menganalisa kendala apa yang dihadapi dalam penerapan sistem tersebut. Metode penelitian yang digunakan dalam perancangan ini adalah metode grounded (grounded research) yaitu suatu metode penelitian berdasarkan pada fakta dan menggunakan analisis perbandingan dengan tujuan mengadakan generalisasi empiris, menetapkan konsep, membuktikan teori, mengembangkan teori, pengumpulan dan analisis data dalam waktu yang bersamaan. Selama penelitian penulis menemukan bahwa pada proses pengadaan dan pengeluaran masih menggunakan cara manual, hal ini dikarenakan sistem yang ada tidak bisa digunakan oleh semua Unit Kerja. Setelah melakukan penelitian, penulis memberikan kesimpulan bahwa dibutuhkan suatu sistem yang terkomputerisasi untuk semua Unit Kerja sehingga dapat membantu pekerjaan para pegawainya. Penulis mencoba membuat suatu sistem yaitu Sistem Pengadaan dan Pengeluaran Barang menggunakan bahasa pemrograman Java. Kata Kunci: sistem, pengadaan barang, pengeluaran barang, pemrograman Java
Peningkatan Kompetensi Pengetahuan Internet Dan Aplikasi Teknologi Pada TPA Nurul Khonsa Dwi Yulistyanti; Naely Farkhatin; Aulia Paramita
JURNAL AKADEMIK PENGABDIAN MASYARAKAT Vol. 3 No. 3 (2025): MEI
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/japm.v3i3.4411

Abstract

This increase in internet knowledge and technology applications is an internet-based learning and computer application. So that it makes it easier and helps teachers in teaching their students in terms of technology and the internet, usually children will understand faster and feel happy in their learning by using audio visuals. In achieving the objectives of this activity, the implementing team uses the workshop method in a training event. The implementing team acting as tutors/instructors provides examples and at the same time provides assistance to training participants to master the training material. This allows participants to master the material while simultaneously practicing with instructor assistance. Nurul Khonsa TPA is one of the Islamic-based learning places in the Tjitramas Parung Bogor housing complex. Since its establishment, the TPA has been a TPA that is highly trusted to entrust their children to by parents of children around the TPA, therefore the TPA is the beginning of knowledge about Islamic knowledge and the beliefs in it. The method that has been agreed upon and taken is by providing training to resource teachers and guardians of students at partner kindergartens. . The material is presented according to the TPA level, which is at this level for children who are already in elementary school. Therefore, interesting learning is presented in multimedia teaching materials, namely teaching materials that enable children to see interesting (visual) images combined with sound (audio).
Clustering of YouTube Viewer Data Based on Preferences using Leiden Algorithm Erlin Windia Ambarsari; Aulia Paramita; Desyanti
International Journal of Informatics and Data Science Vol. 1 No. 2 (2024): June 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/ijids.v1i2.45

Abstract

This study aims to analyze YouTube viewer engagement patterns by applying the Leiden algorithm for clustering based on user interactions such as likes, dislikes, and subscription behaviors in correlation with video duration. Therefore, the method that we used begins with data cleaning to ensure completeness, followed by selecting relevant features and applying z-score normalization to equalize their contributions. A similarity graph is constructed using cosine similarity, representing instances as nodes and their relationships as edges. The Leiden algorithm is then applied to optimize modularity and extract clusters, with results integrated into the original dataset for analysis. Dimensionality reduction using PCA facilitates cluster visualization, while statistical summaries and distribution plots provide deeper insights into cluster characteristics. Subsequently, we obtained a dataset sourced from the YouTube content creator @ArmanVesona, which includes 237 instances with ten features: Shares, Comments Added, Dislikes, Likes, Subscribers Lost, Subscribers Gained, Views, Watch Time (hours), Impressions, and Click-Through Rate (%). The analysis reveals two distinct clusters: Cluster 0, characterized by lower engagement and stable audience, and Cluster 1, exhibiting higher engagement but higher subscriber churn. The findings highlight the effectiveness of the Leiden algorithm in detecting well-connected communities and provide insights into viewer behavior, aiding in the development of improved content strategies and targeted marketing approaches.