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Journal : Journal of Computer Science and Informatics Engineering

Perancangan Sistem IoT Monitoring dan Smart Feed pada Ikan Hias Kristy, Rhama Aziz Aulia; Subki, Ahmad; Zulpahmi, M; Samsumar, Lalu Delsi
Journal of Computer Science and Informatics Engineering Vol 3 No 4 (2024): October
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v3i4.923

Abstract

Pemberian pakan otomatis dalam pemeliharaan ikan hias menjadi solusi penting untuk meningkatkan efisiensi dan kesehatan ikan. Penelitian ini mengembangkan sistem berbasis Internet of Things (IoT) yang mengintegrasikan sensor dan aktuator untuk mengotomatiskan proses pemberian pakan. Sistem ini dilengkapi dengan sensor suhu dan turbidity yang memantau kualitas air secara real-time, sementara aktuator motor servo mengatur dosis dan waktu pemberian pakan otomatis. Data dari sensor dikirim ke platform IoT untuk pemantauan jarak jauh, memungkinkan peternak untuk mengawasi kondisi akuarium tanpa harus selalu hadir. Hasil pengujian menunjukkan bahwa sistem ini efektif dalam memberikan pakan secara tepat waktu dan dengan dosis yang sesuai, yang berkontribusi pada kesehatan dan pertumbuhan ikan hias. Dengan penerapan teknologi IoT ini, proses pemeliharaan ikan hias menjadi lebih efisien, mengurangi beban kerja peternak, dan meminimalkan risiko kesalahan dalam pemberian pakan. Diharapkan, inovasi ini dapat meningkatkan produktivitas dalam budidaya ikan hias dan memberikan kemudahan bagi para peternak.
IoT-Based Smart Parking: Slot Detection and Vehicle Navigation in Parking Buildings Sapitri, Nurul; Samsumar, Lalu Delsi; Subki, Ahmad
Journal of Computer Science and Informatics Engineering Vol 4 No 4 (2025): October
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i4.1262

Abstract

Problems in conventional parking systems are still frequently encountered, such as difficulties in finding vacant slots and the lack of real-time information for drivers. This study aims to develop an IoT-based Smart Parking system capable of detecting parking slot availability and providing automatic voice navigation for drivers within parking buildings. The research method employed is prototyping, consisting of requirement analysis, system design, prototype development, and testing stages. The system utilizes ESP32 as the main microcontroller, infrared and ultrasonic sensors for vehicle detection, and a DFPlayer Mini module for voice navigation. Parking information is displayed in real-time on an LCD screen and the Blynk application via a WiFi connection. The test results show that the system achieved an average response time of 1.57 seconds, an accuracy rate of 94.7%, and stable performance under various test conditions. The components used are cost-effective, with an estimated prototype cost of Rp600,000–Rp1,000,000 per unit, making it feasible for real implementation in parking buildings. The system has proven to be responsive, efficient, and practical, and can serve as an innovative solution for modern parking management based on IoT technology and smart navigation