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All Journal Jurnal Informatika Upgris Jurnal Lektur Keagamaan Journal of Computer Science Advancements
Hasyim, Andi
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Religion Humanities Computer Science & IT Social Sciences

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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.
Gender and Religiosity in Indonesian Popular Media: An Anthropological Reading of Cultural Representations Jafar, Nuraisa; Lampe, Munsi; Muhammad, Marlisa J.; Muhammad, Darlisa; Guntur, Ahmad Ismail; Hasyim, Andi
Jurnal Lektur Keagamaan Vol 23 No 2 (2025): Jurnal Lektur Keagamaan Vol. 23 No. 2 Tahun 2025
Publisher : Center for Research and Development of Religious Literature and Heritage, Agency for Research and Development and Training, Ministry of Religious Affairs of the Republic of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31291/jlka.v23i2.1489

Abstract

Digital media have become central sites for the production, circulation, and negotiation of religious meaning among young Muslims in Indonesia. While existing studies on religion and social media often rely on quantitative indicators of religiosity or focus on isolated platforms, they rarely examine how everyday digital practices function as culturally meaningful religious texts. This study addresses this gap by conceptualizing social media content as a form of popular digital religious literature within the broader Nusantara Islamic literary tradition. Drawing on qualitative digital ethnography and digital literary analysis, the study examines multimodal content produced by Indonesian Muslim youth on platforms such as Instagram, TikTok, and Twitter/X, including captions, visual Qur’anic quotations, personal narratives, and performative displays of piety. The analysis situates these digital texts within anthropological theories of lived religion, gender, and mediated authority, highlighting how religious identity is constructed through narrative, aesthetics, and platform-specific affordances. The findings show that digital platforms do not merely transmit religious messages but actively reshape religious expression by generating new genres, redefining authorship, and reconfiguring religious authority, particularly in relation to gendered piety. By framing social media practices as platformed religious literature, this study contributes to scholarship on digital religion, Islamic studies, and anthropology by demonstrating how contemporary Indonesian Islam is articulated through hybrid literary forms shaped by both tradition and algorithmic culture. 
Co-Authors Aldi Bastiatul Fawait Fawait Alfiah, Agry Amalia, Andi Vina Bugis, Andi Chaeiril Darlisa Muhammad Guntur, Ahmad Ismail Jafar, Nuraisa Muhammad, Marlisa J. Munsi Lampe Nursalim Rahmawati, Rahmawati