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All Journal JITEK (Jurnal Ilmiah Teknosains) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal SOLMA Jusikom : Jurnal Sistem Komputer Musirawas Conference SENATIK STT Adisutjipto Yogyakarta Jurnal Sisfokom (Sistem Informasi dan Komputer) JUSIM (Jurnal Sistem Informasi Musirawas) JURNAL MAHAJANA INFORMASI Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Sains, Aplikasi, Komputasi dan Teknologi Informasi Mitra Mahajana: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Dharma Wacana Jurnal Abdi Masyarakat Indonesia Ngabdimas : Pengabdian Pada Masyarakat Informatics and Enginering Dedication Knowbase : International Journal of Knowledge in Database Jurnal Pengabdian Masyarakat Tapis Berseri Ahsana: Jurnal Penelitian dan Pengabdian kepada Masyarakat Jurnal Teknologi Informasi Mura
Desi Puspita
Institut Teknologi Pagar Alam
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Veterinary Other

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TRANSFORMASI DAKWAH DIGITAL: PELATIHAN PEMBUATAN FRAME KONTEN DAKWAH DENGAN CANVA BAGI PENYULUH AGAMA ISLAM Desi Puspita; Siti Aminah
FORDICATE Vol 5 No 2 (2026): April 2026
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/fordicate.v5i2.15765

Abstract

The development of digital technology has encouraged changes in the methods of delivering religious messages to the community. Islamic religious counselors are required to utilize digital media as a more effective and engaging means of communication in religious outreach. However, many counselors still have limitations in digital content creation skills. This community service activity aims to improve the digital competencies of Islamic religious counselors through training on creating digital content frames using Canva and CapCut applications. The methods used in this activity include socialization, practical training, and mentoring in designing digital da'wah content frames. The participants were Islamic religious counselors at the Kementerian Agama of Pagar Alam City. The results of the activity indicate that participants were able to understand the basic concepts of digital da'wah content design and create attractive content frames using Canva and CapCut. Furthermore, this activity enhanced participants' creativity and ability to utilize digital media as a medium for religious outreach. It is expected that through this training, Islamic religious counselors can optimize the delivery of religious messages to the community through more creative and communicative digital media..
Integration of Machine Learning and Web-Based Expert Systems for Diabetes Risk Analysis in Pagar Alam Riduan Syahri; Desi Puspita; Risnaini Masdalipa
Knowbase : International Journal of Knowledge in Database Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v5i2.10268

Abstract

This study aims to develop an integrated system combining Machine Learning (ML) and a Web-Based Expert System for genomic and clinical data analysis to mitigate the rising diabetes cases in Pagar Alam City. The research adopts the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology, encompassing business understanding, data understanding, data preparation, modeling, evaluation, and deployment phases. Unlike previous studies relying on standard public datasets, this research integrates genomic profiles (TCF7L2 and KCNQ1 SNPs) alongside local clinical parameters from five sub-districts in Pagar Alam. Quantitative data from 640 samples were analyzed using the Support Vector Machine (SVM) algorithm. Evaluation results during the modeling phase show that the SVM model achieved a superior accuracy of 99.07%, demonstrating that integrating genomic data significantly enhances predictive precision. The web-based expert system implemented in the deployment phase provides personalized prevention recommendations based on individual risk profiles. This application is expected to serve as a strategic tool for the Pagar Alam government to enhance the effectiveness of prevention programs through localized and genetic-based interventions.
Co-Authors Alfis Arif Arif, Alfis ariska, sendy Barrorotul Azizah Debi Guzmaliza Dewi, Nadiya Citra Ferry Putrawansyah Ferry Putrawansyah Fitria Rahmadayanti Gusmaliza, Debi Ichsan, Onne Akbar Nur Inda Anggraini Lesi Anggraini Masdalipa, Risnaini Melani Anggita Nadiya Citra Dewi Rony, Zahara Tussoleha Sasmita Sasmita Siti Aminah Siti Aminah Syahri, Riduan Tri Susanti Yogi Isro Mukti, Yogi Isro