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All Journal Jurnal Informatika Upgris Journal of Computer Science Advancements
Hasyim, Andi
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Computer Science & IT

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APLIKASI PEMBUATAN SURAT KETERANGAN DISPENSASI NIKAH BERBASIS ONLINE PADA KANTOR CAMAT LALABATA KABUPATEN SOPPENG Hasyim, Andi; Amalia, Andi Vina; Bugis, Andi Chaeiril
Jurnal Informatika UPGRIS Vol 10, No 1: Juni 2024
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v10i1.17955

Abstract

Pada Kantor Camat Lalabata Kabupaten Soppeng dalam salah satu misinya yaitu “Meningkatkan Pelayanan Masyarakat”. Memberikan pelayanan terbaik kepada Masyarakat melainkan juga untuk pegawai yang berada di naungan Kantor Camat Lalabata Kabupaten Soppeng, akan tetapi terkadang ada pegawai yang berada dilingkup Kabupaten Soppeng seperti pegawai  yang ingin mengambil berkas, menyetor berkas atau hanya untuk konsultasi. Contohnya : Mengambil Surat Perintah Perjalanan Dinas (SPPD), Stempel Administrasi (Pegawai, Kegiatan, Perizinan, Pindah Penduduk dll), Meminta tanda tangan (Camat Lalabata, Sekretaris Camat, atau Kepala Seksi). Mengurus surat tanah, Dispensasi Nikah, dan Laporan Keuangan. Pelayanan yang berada di naungan Kantor Camat Lalabata Kabupaten Soppeng sudah sangat bagus. Pelayanan diberikan kepada para pegawai kantor desa/kelurahan yang menikah berkas pengunjung. Surat keterangan dispensasi nikah membuat pelayanan.
Impact of Using Big Data Analisys in Increasing Personalization of Learning Rahmawati, Rahmawati; Nursalim, Nursalim; Alfiah, Agry; Hasyim, Andi; Fawait, Aldi Bastiatul
Journal of Computer Science Advancements Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i2.906

Abstract

In today’s digital era, big data analytics has become a very relevant topic to improve learning personalisation as it can collect and analyse very large and complex data. Big data analytics can lead to a more efficient learning system by collecting and analysing huge and complex data. In education, big data analytics can be used to understand students’ learning behaviour, their needs and preferences, so that learning and learning outcomes can be improved. This research is conducted with the aim of using big data analytics to improve learning personalisation. It also aims to find out the challenges of using big data analytics to improve learning personalisation. The method used in this research is quantitative method. This method is a way of collecting numerical data that can be tested. Data is collected through the distribution of questionnaires addressed to students. Furthermore, the data that has been collected from the distribution of the questionnaire, will be accessible in Excel format which can then be processed with SPSS. From the research results, it can be seen that the big data analysis has shown that the use of more detailed and accurate data can help teachers find students’ special needs and improve learning effectiveness. As a result, teachers can create learning strategies that are better suited to students’ needs and improve their learning outcomes. From this study, we can conclude that the use of big data analytics in improving personalisation allows teachers to understand better the individual needs and preferences of students, so that more suitable learning plans can be developed and student engagement can be improved.
Co-Authors Aldi Bastiatul Fawait Fawait Alfiah, Agry Amalia, Andi Vina Bugis, Andi Chaeiril Nursalim Nursalim Rahmawati, Rahmawati