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All Journal IKRA-ITH Informatika : Jurnal Komputer dan Informatika
Vanesya Claresta
Universitas Pradita, Kabupaten Tangerang
Computer Science & IT

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Gap Analysis Matrix dan Roadmap Smart Transportation Bandar Lampung Berbasis Rujukan Jakarta dan Bogor Marshanda Anabella; Vanesya Claresta; Muhammad Iyad Irviansyah; Master Edison Siregar
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 9 No. 3 (2025): IKRAITH-INFORMATIKA Vol 9 No 3 November 2025
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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The rapid population growth and urbanization in Bandar Lampung have generated substantial pressure on the city’s transportation system, which remains dominated by private vehicles and traditional public transport services. This condition contributes to increasing congestion, travel inefficiency, pollution, and a decline in service quality. This study aims to assess the readiness of Bandar Lampung to implement smart transportation using the seven layers of the Smart City Ecosystem Framework. The research employed a qualitative approach through literature analysis and the application of a Gap Analysis Matrix, with Jakarta and Bogor serving as benchmarks to define the desired state of smart transportation development. The findings indicate that Bandar Lampung is positioned in the emerging category, with the most significant gaps identified in the technology infrastructure, data and information, service integration, and digital innovation layers. The city lacks adequate IoT infrastructure, multimodal integration, and a unified mobility data system. Based on these findings, a 2025–2030 smart transportation roadmap is proposed, focusing on regulatory development, service digitalization, IoT enhancement, multimodal and digital payment integration, fleet modernization, and multi-stakeholder collaboration. This study is expected to support strategic decision-making for promoting a more efficient, integrated, and sustainable urban mobility system in Bandar Lampung.
Rancang Bangun Jemuran Pintar IoT Berbasis AI Scoring dan API Cuaca untuk Pemantauan dan Kontrol Real-Time Darren Anderton Liemanto; Munaa Raudhatul Jannah; Nanda Putri Salis Muspiroh; Vanesya Claresta; Theresia Herlina Rochadiani
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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Penelitian ini merancang dan mengimplementasikan prototipe Smart Dry, yaitu sistem jemuran pakaian berbasis Internet of Things (IoT) yang menggabungkan sensor lokal dan prediksi cuaca eksternal untuk meningkatkan keamanan proses pengeringan. Sistem menggunakan ESP8266 NodeMCU, sensor hujan, DHT22, motor servo, dua relay untuk blower, serta dashboard Blynk sebagai antarmuka monitoring dan kontrol. Komponen kecerdasan buatan diterapkan dalam bentuk decision scoring pada backend Node.js. ESP8266 mengirimkan data kelembapan, suhu, dan status hujan melalui HTTP POST, kemudian backend mengambil parameter cuaca dari Open-Meteo seperti probabilitas hujan, presipitasi, tutupan awan, dan kecepatan angin. Hasil keputusan dikembalikan dalam format JSON berupa prediksi “TUTUP” atau “AMAN”, skor risiko, status kanopi, dan status blower. Sistem memiliki dua mode, yaitu non-otomatis dan otomatis, dengan mode otomatis tetap menggunakan sensor lokal sebagai input utama dan AI sebagai pengambil keputusan. Hasil pengujian fungsional menunjukkan bahwa sensor, dashboard, backend, dan aktuator dapat bekerja sesuai respons AI. Sistem ini berpotensi menjadi solusi rumah tangga cerdas yang adaptif terhadap perubahan cuaca.
Co-Authors Darren Anderton Liemanto Marshanda Anabella Master Edison Siregar Muhammad Iyad Irviansyah Munaa Raudhatul Jannah Nanda Putri Salis Muspiroh Theresia Herlina Rochadiani