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Journal : Serambi Engineering

Rancang Bangun Sistem Pemilahan Lele Otomatis dan Pengaruh Dimmer Terhadap Debit Pompa Air Alif Aditya Darmawan; Khilda Afifah; Istiqomah
Jurnal Serambi Engineering Vol. 9 No. 4 (2024): Oktober 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

Manual sorting of catfish is a labour-intensive process in catfish farming, requiring considerable time and effort. Therefore, an effective and user-friendly automated catfish grading system is required. Currently, several automated sorting systems have been developed using load cells, but these methods are inefficient as they require fish to be sorted one at a time. The method used in this system is similar to the concept of a coin sorter, where catfish flow through holes of different diameters according to their head size. In addition, the system uses a water pump to circulate water from the final storage tank back to the holding tank to help guide the fish to the sorting channel. The water flow rate of the pump can be adjusted using a dimmer, which works by limiting the voltage used by the pump. Testing of the grading system was carried out under two conditions, grading fish of the same size range and grading fish of a significantly different size range. The results showed that sorting fish of the same size range had a higher accuracy (86.1%) compared to sorting fish of a different size range (61.9%). An analysis of the effect of the dimmer on the pump was also carried out, showing that the dimmer can effectively control the water flow rate.
Perancangan Antarmuka Sistem Peringatan Dini Banjir Menggunakan Web Thing Speak sebagai Basis Data dan Notifikasi Pesan melalui Aplikasi WhatsApp Nabil Sarmada; Erlangga Alman Rahardjo; Lutfi Firmandany; Khilda Afifah; Bandiyah Sri Aprillia
Jurnal Serambi Engineering Vol. 9 No. 4 (2024): Oktober 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Flooding is one of the natural disasters that frequently occur in Indonesia, especially in Bandung Regency, which is often affected by flooding due to river basins that cannot accommodate excess water. To address this problem, an Internet of Things (IoT)-based flood early warning system (FEWS) has been developed that can monitor river water levels and provide early notification to the public via the WhatsApp application. This study aims to design and test a user interface integrated with the FEWS system using ThingSpeak as the database and WhatsApp as the notification application. The methods used include data collection, requirements analysis, design, implementation, and system testing. The test results show that ThingSpeak is able to upload water level data in real time with an average delay of 11.5 seconds, and WhatsApp successfully sends water level category notifications to users in a timely manner. In conclusion, the developed system successfully provides accurate information and appropriate notifications to help the public take early evacuation steps during floods.