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All Journal Electrician : Jurnal Rekayasa dan Teknologi Elektro
Muhammad Nur Khawarizmi
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Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Pemetaan Risiko Spasial Multi-Bencana Banjir dan Longsor Dengan Analisis Keputusan Multi – Kriteria pada Kabupaten Pesawaran Rizkima Akbar Setiawan; Trisya Septiana; Muhammad Nur Khawarizmi; Puput Budi Wintoro
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 20 No. 2 (2026)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v20n2.2938

Abstract

Kabupaten Pesawaran, Provinsi Lampung, memiliki kerentanan tinggi terhadap bencana hidrometeorologi akibat interaksi kompleks antara topografi, iklim, dan tutupan lahan. Penelitian ini mengembangkan model penilaian risiko multi-bencana (banjir dan longsor) dengan menggunakan Analisis Keputusan Multi-Kriteria (AKMK). Metode Entropi digunakan untuk menentukan bobot tiga parameter utama secara objektif: kemiringan lereng, intensitas curah hujan, dan tutupan lahan, guna mengurangi bias dan meningkatkan reprodusibilitas. Hasil pemetaan overlay berbobot menunjukkan bahwa 18% wilayah termasuk zona risiko tinggi banjir, terutama di daerah pesisir rendah, sementara 22% tergolong risiko tinggi longsor di kawasan berbukit dengan kemiringan >30°. Validasi dengan data kejadian bencana dari BPBD menunjukkan tingkat akurasi spasial sebesar 85%, membuktikan keandalan model. Peta risiko yang dihasilkan menjadi alat pendukung pengambilan keputusan yang efisien dan berbiaya rendah untuk perencanaan mitigasi bencana dan pengembangan tata ruang. Kerangka kerja ini memiliki potensi untuk direplikasi di wilayah lain dengan keterbatasan data, menawarkan pendekatan penilaian risiko yang efisien dan skalalabel.
a Comprehensive and Inclusive Key Design for Smart Parking Solution Using the Three Validation Real Time Method Muhammad Nur Khawarizmi; Rizkima Akbar Setiawan; Muhammad Fikri
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 19 No. 3 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v19n3.2940

Abstract

This study presents an innovative smart parking system known as SM Park, which utilizes the Three Validation Real-Time (3VR) method to provide accurate and efficient parking space monitoring. The system integrates multiple sensor technologies, including ultrasonic and Passive Infrared (PIR) sensors, along with computer vision, to detect the availability of parking slots in real-time. By leveraging the Internet of Things (IoT) and Artificial Intelligence (AI), SM Park enables users to reserve parking spaces in advance via its website, thus minimizing wait times and improving the overall efficiency of parking. The development process followed a prototype methodology, which allowed for rapid prototyping, feedback collection, and iterative design enhancements. The system's performance was evaluated through various stages, including literature review, system design, prototype development, and sensor integration. The system design eliminates the need for external devices such as RFID tags or mobile applications, creating a more inclusive parking solution. This paper outlines the design and architecture of the SM Park system, its technical components, and its potential for addressing key challenges in urban parking management, such as congestion, carbon emissions, and inefficient space utilization.
Co-Authors muhammad fikri Puput budi wintoro Setiawan, Rizkima Akbar Trisya Septiana