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All Journal Journal of Electrical Engineering Research Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Atika Rizki, Cindy
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Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Social Sciences

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Urban Area Design in the Arrangement of Smart Drainage Systems with IoT Technology (IoT) to Overcome Flooding in Urban Areas Tarigan, Ruth Riah Ate; Supiyandi, Supiyandi; Lubis, Najla; Hasanuddin, Muhammad; Khodijah, Siti; Atika Rizki, Cindy
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.9

Abstract

Flooding is a major problem that frequently occurs in Medan City due to high rainfall, dense settlements, and limited drainage system capacity. Conventional drainage planning still faces obstacles in real-time monitoring of channel conditions, resulting in less than optimal flood management responses. This study aims to examine the use of Internet of Things (IoT) technology in planning a smart drainage system as a flood mitigation effort in Medan City. The research method was carried out through literature review, conceptual modeling, and analysis of IoT infrastructure needs, including water level sensors, data communication devices, and integration with geographic information systems (GIS). The results of the study indicate that the implementation of an IoT-based drainage system can improve the effectiveness of water flow monitoring, support rapid decision-making in flood control, and provide accurate spatial data for urban spatial planning. In conclusion, the use of IoT has great potential to support the development of a smart drainage system in Medan City, thereby reducing flood risk and increasing the resilience of urban infrastructure in a sustainable manner.
Analisis Penerapan Machine Learning dalam Sistem Prediksi dan Pengambilan Keputusan Hasanuddin, Muhammad; Khodijah, Siti; Atika Rizki, Cindy; Alwi prayoga, Abil
Journal of Electrical Engineering Research Vol. 1 No. 3 (2025): September 2025
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/joeer.v1i3.19

Abstract

Perkembangan teknologi machine learning telah mendorong pemanfaatannya secara luas dalam sistem prediksi dan pengambilan keputusan di berbagai sektor. Kemampuan machine learning dalam mengolah data berukuran besar dan kompleks memungkinkan sistem menghasilkan prediksi yang lebih akurat dan mendukung keputusan yang berbasis data. Namun, penerapan teknologi ini masih menghadapi berbagai tantangan, khususnya terkait integrasi hasil prediksi ke dalam proses pengambilan keputusan, interpretabilitas model, serta dampaknya terhadap kualitas keputusan yang dihasilkan. Penelitian ini bertujuan untuk menganalisis penerapan machine learning dalam sistem prediksi dan pengambilan keputusan secara komprehensif. Metode penelitian yang digunakan adalah pendekatan kualitatif-deskriptif melalui kajian literatur ilmiah dan analisis konseptual terhadap struktur sistem, algoritma yang digunakan, serta mekanisme integrasi keputusan. Hasil penelitian menunjukkan bahwa keberhasilan penerapan machine learning tidak hanya ditentukan oleh akurasi prediksi, tetapi juga oleh kualitas data, pemilihan model, dan peran sistem pendukung keputusan dalam menjembatani hasil prediksi dengan pengambil keputusan. Penelitian ini menegaskan pentingnya pendekatan holistik yang menempatkan machine learning sebagai alat pendukung keputusan untuk menghasilkan keputusan yang lebih efektif, transparan, dan dapat dipertanggungjawabkan.
Co-Authors Alwi Prayoga, Abil Lubis, Najla Muhammad Hasanuddin, Muhammad Ruth Riah Ate Tarigan Siti Khodijah Supiyandi Supiyandi