Lukmanul Khakim
Universitas Harkat Negeri

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Pengembangan Prototipe Smart Street Lighting Berbasis Solar Cell dengan Monitoring Jarak Jauh melalui Platform IoT Muhammad Ilham Adi Perdana; Lukmanul Khakim; Nurohim Nurohim
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 15, No 1 (2026): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v15i1.10032

Abstract

Penelitian ini mengembangkan sistem lampu jalan otomatis berbasis Internet of Things (IoT) dengan memanfaatkan sensor Light Dependent Resistor (LDR) dan solar cell sebagai sumber energi utama. Pengujian dilakukan untuk memverifikasi kinerja sistem, termasuk kemampuan sensor dalam mendeteksi perubahan intensitas cahaya serta fungsi otomatisasi lampu. Simulasi kondisi terang dilakukan dengan penyinaran menggunakan lampu senter, sedangkan kondisi gelap direpresentasikan dengan menutup sensor. Pengujian deteksi kondisi lampu dilakukan melalui pemutusan dan penyambungan kabel lampu pada relay untuk mensimulasikan keadaan lampu rusak maupun berfungsi normal. Hasil pengujian di Titik 1 Jalan Harapan Bersama menunjukkan bahwa sistem beroperasi sesuai rancangan. Lampu tetap mati pada simulasi kondisi terang dan menyala pada kondisi gelap. Sistem juga mampu mengidentifikasi kondisi lampu yang tidak berfungsi melalui pembacaan sensor. Secara keseluruhan, sistem yang dikembangkan menunjukkan performa yang baik dalam mengimplementasikan fungsi otomatisasi serta pemantauan kondisi lampu, sehingga berpotensi diterapkan sebagai solusi penerangan jalan yang efisien dan mandiri.
Development and Design of a Remote-Controlled Vannamei Shrimp Feeder Addhil Izzulhaq; Arif Rakhman; Lukmanul Khakim; Miftakhul Huda
Indonesian Journal of Electronics and Computer Technology Vol. 1 No. 1 (2026): IJECT
Publisher : PT. Sentra Ilmiah Teknologi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/iject.v1i1.1

Abstract

Aquaculture pond water commonly supports multiple aquatic species, including seabass and vannamei shrimp. This study specifically concentrates on vannamei shrimp cultivation in pond systems. Feeding management in shrimp aquaculture constitutes a critical operational parameter, as appropriate feed allocation directly influences growth performance, feed conversion efficiency, and overall production yield. This research involved the design and development of an automatic shrimp feeding system utilizing an HX711 load cell weight sensor integrated with a microcontroller-based control unit. Experimental evaluation demonstrated that the Real-Time Clock (RTC) module exhibited a time deviation of approximately one minute slower than the reference time recorded on a laptop. The implementation of the HX711 load cell sensor in the feed container yielded an average measurement error of 3.1% based on a 350-gram calibration test. The system was capable of dispensing feed with a minimum output resolution of 1 gram. Furthermore, operational data generated by the system are transmitted to a database, visualized through a web-based interface, and accessible for real-time monitoring.