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All Journal Journal of Artificial Intelligence and Digital Business Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Gereuw, Gabriel Enjel
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Other

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Integration of AI and GIS in Clean Water Quality Monitoring in Urban and Rural Communities Sudasman, Fuad Hilmi; Gereuw, Gabriel Enjel
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1425

Abstract

Ensuring clean water quality remains a critical challenge for public health and sustainable development. Conventional monitoring methods, which rely on manual sampling and laboratory tests, often fall short in covering large areas, responding quickly, or operating efficiently. This systematic review explores how emerging technologies—namely Artificial Intelligence (AI), Geographic Information Systems (GIS), IoT sensors, and remote sensing (via satellite and UAVs)—are being used to enhance water quality monitoring in both urban and rural settings. Based on 10 empirical studies from 2010 to 2025, findings show that AI models like Random Forest, SVM, CNN, and LSTM can predict water quality indicators such as DO, BOD, COD, and WQI with over 90% accuracy. GIS supports spatial mapping and risk analysis, while integration with real-time sensors and community-based approaches like Participatory GIS (PGIS) improves relevance and responsiveness. Still, issues such as infrastructure gaps, low digital literacy, limited public engagement, and opaque AI systems hinder wider adoption. The review highlights the need for inclusive, flexible, and policy-supported AI-GIS frameworks to transform water monitoring into a more predictive, participatory, and context-aware process.
Pengembangan Sistem Informasi Kemitraan antara Dunia Industri dan Alumni Jurusan Pendidikan Teknologi Informasi dan Komunikasi di Universitas Negeri Manado Gereuw, Gabriel Enjel; Batmetan, Johan Reimon; Parinsi, Mario Tulenan
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 5 No. 6 (2025): EduTIK : Desember 2025
Publisher : Jurusan PTIK Universitas Negeri Manado

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Abstract

Kemajuan teknologi informasi menuntut adanya sistem yang mampu menghubungkan dunia pendidikan dengan industri, khususnya dalam penyediaan informasi kerja bagi alumni. Penelitian ini bertujuan mengembangkan sistem informasi kemitraan berbasis web untuk alumni Jurusan PTIK Universitas Negeri Manado dan pihak industri. Metode yang digunakan adalah Agile dengan pendekatan Kanban, sehingga pengembangan berlangsung iteratif dan adaptif. Sistem dibangun menggunakan PHP (CodeIgniter), basis data MySQL, dan antarmuka Bootstrap. Fitur utama meliputi registrasi pengguna, manajemen profil, publikasi lowongan, pengajuan lamaran, serta verifikasi oleh admin. Hasil pengujian menunjukkan sistem bekerja stabil, responsif, dan memenuhi kebutuhan fungsional maupun non-fungsional. Penelitian ini menyimpulkan bahwa sistem yang dikembangkan dapat menjadi sarana efektif untuk memperkuat hubungan universitas dan industri sekaligus mempermudah alumni memperoleh informasi kerja secara cepat dan terstruktur.
Co-Authors Fradel R. Sigar, Verry R. Palilingan, Mario T. Parinsi Johan Reimon Batmetan Sudasman, Fuad Hilmi