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Empowering places of worship through information technology Sirmayanti
Transformasi: Jurnal Pengabdian Masyarakat Vol. 21 No. 1 (2025): Transformasi Juni
Publisher : LP2M Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/transformasi.v21i1.13259

Abstract

[Bahasa]: PNUP-Care merupakan gagasan program kepada masyarakat (PKM) yang diinisiasi melayani kebutuhan implementasi teknologi informasi (TI) bagi masyarakat pada era digitalasisi saat ini. GMA-community merupakan mitra PNUP-Care sebagai pilot-project pengembangan IT Rumah Ibadah pertama di wilayah kota Makassar. Rumah ibadah sebagai pusat ritual keagamaan, namun manakala dilengkapi sarana dan prasarana TI secara maksimal maka institusi ini akan menjadi lembaga referensi pendidikan karakter sekaligus pusat pengembangan kegiatan sosial kemasyarakatan baik pada aspek intelektual dan spiritual secara seimbang. Terdapat tiga aktivitas pilot-project PNUP-Care sebagai bagian dari permasalahan mitra yakni sarana dan prasarana, mutu pelayanan, dan sumber daya pengelola IT. Dengan metode observasi, teknologi transfer, penyuluhan/pelatihan, dan praktek/dem diperoleh hasil kegiatan diantranya (1) pengembangan website masjid berbasis mobile-web (2) instalasi GMA-Net berbasis fiber-optik, bebas akses dan unlimited bandwidth dan instalasi CCTV (TV monitor) multi-user yang dapat diakses oleh orangtua santri dan pengurus jamaah, (3) pelatihan berbasis learning-by-project dan coaching dengan pengenalan aplikasi web/mobile Pro dalam design grafis untuk membuat konten dakwah Islam yang menarik. Sistem digitalisasi rumah ibadah, khususnya masjid, dapat meningkatkan akses informasi global ke seluruh elemen jamaah (orangtua, remaja dan anak-anak) dalam menambah wawasan keislaman sekaligus media dakwah Islam di kekinian. Hal ini sekaligus juga sebagai langkah strategis dalam memakmurkan masjid, mendukung Gerakan Ayo Ke Masjid dan Masjid Ramah Anak (RMA). Kata Kunci: PNUP-Care, Teknologi Informasi, Masjid, Rumah Ibadah, Masjid Ramah Anak [English]: PNUP-Care is a community service initiative (PKM) designed to address the implementation needs of information technology (IT) for communities in today’s digital era. GMA-community serves as the partner for PNUP-Care and acts as the pilot project for the first IT-based House of Worship development in the city of Makassar. Houses of worship are traditionally centers for religious rituals; however, when equipped with optimal IT facilities and infrastructure, they can also serve as institutions for character education and as hubs for intellectual and spiritual community development. The PNUP-Care pilot project focuses on addressing three core issues faced by the partner institution: infrastructure, service quality, and IT management human resources. Using methods such as observation, technology transfer, counseling/training, and practical demonstrations, the project achieved several outcomes, including (1) the development of a mosque website based on mobile-web technology, (2) the installation of GMA-Net, a fiber-optic-based network providing free access and unlimited bandwidth, along with the installation of multi-user CCTV (TV monitors) accessible by both the parents of students and the mosque management, and (3) project-based learning and coaching sessions introducing professional-grade web/mobile design applications for creating engaging Islamic preaching content. The digitalization of houses of worship—particularly mosques—can significantly improve access to global information for all congregational segments (parents, youth, and children), enrich Islamic understanding, and provide a modern platform for Islamic outreach. This initiative also represents a strategic step in revitalizing mosque functions, supporting the "Let's Go to the Mosque" movement and promoting Child-Friendly Mosques (RMA). Keywords: PNUP-Care, Information Technology, Mosque, House of Worship, Child-Friendly Mosque
Comparative Analysis of The Combination of Metaheuristic and Machine Learning Algorithms Sirmayanti; Rahman, Farhan; Hendro Prastyo, Pulung; Mahyati
IJID (International Journal on Informatics for Development) 2026
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2026.4888

Abstract

Diabetes affects about 1.9% of the global population, mainly through Type 2 diabetes. Machine learning (ML) serves a pivotal role in enhancing diabetes prediction by analyzing complex datasets. Feature selection, a crucial ML pre-processing step, improved prediction accuracy by identifying relevant data and discarding irrelevant features. This study investigates the combination of metaheuristic algorithms and ML techniques to enhance diabetes prediction accuracy and computational efficiency. Utilizing the PIMA, Early Stage, and Vanderbilt datasets, experiments evaluated ten algorithm-model combinations based on metrics like accuracy, precision, the Wilcoxon test, and convergence curves. Key findings included that Firefly Algorithm-Logistic Regression, Bat Algorithm-Logistic Regression, and Cuckoo Search-Logistic Regression achieved 74.72% accuracy on PIMA; Firefly Algorithm-Support Vector Machine and Cuckoo Search-Naïve Bayes achieved 83.39% accuracy and 96.15% precision on Early Stage; and Firefly Algorithm-Naïve Bayes achieved 92.88% accuracy and precision on Vanderbilt. These results highlighted the potential of integrating metaheuristics with ML methods to improve clinical diagnostics. Future research is recommended to validate algorithm robustness across diverse datasets to further optimize diabetes prediction strategies.