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All Journal Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Journal of Applied Smart Electrical Network and System (JASENS)
RD. Kusumanto
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Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Sistem Kendali Irigasi Otomatis Pada Pertanian Hidroponik Vertikal Berbasis Internet Of Things (IoT) Permata Sari, Dewi; Dewi Permata sari; RD. Kusumanto; Mardiyansah
Journal of Applied Smart Electrical Network and Systems Vol 4 No 2 (2023): Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v4i2.915

Abstract

Vertical hydroponic farming is an innovative method of cultivating plants efficiently in urban environments. However, the main challenge in managing hydroponic farming is monitoring and regulating appropriate water levels for plants, especially on a large scale or in remote locations. To overcome this problem, an automatic irrigation control system based on the Internet of Things (IoT) is a potential solution. This study proposes the development of an automatic irrigation control system integrated with IoT technology to increase the efficiency and productivity of vertical hydroponic farming. This system consists of ultrasonic sensors and water flow sensors which are connected directly to a microcontroller, which is then connected to the IoT platform via a wireless network. Data obtained from these sensors is sent to the IoT platform for processing and analysis in real-time.
IMPLEMENTASI SISTEM MONITORING AIR DENGANSENSOR ULTRASONIK HC-SR04 DAN WATER FLOW DI ASONE HIDROPONIK BERBASIS INTERNET OF THINGS (IoT) MENGGUNAKAN ENERGI PANEL SURYA(PLTS) Permata Sari, Dewi; Jhofy Ricardo P Sitindaon; Dewi Permata sari; RD. Kusumanto
Journal of Applied Smart Electrical Network and Systems Vol 5 No 1 (2024): Vol 5 No 1 (2024): Vol 5 No 1, June 2024
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v5i1.918

Abstract

The cultivation system using hydroponics is now widely popular among the community because it does not require large areas of land. Using the hydroponic system results in faster and optimal harvests. However, the busy activities of urban communities often cause them to fail in implementing it due to constraints in controlling and monitoring hydroponic plants. Additionally, PLN electricity is essential for operating the water pump, and the electricity load and tariff increases, along with sudden blackouts, significantly impact business actors. To address this problem, this research creates an Internet of Things (IoT)-based water monitoring system for ACONE Hydroponics partners with solar panel (PLTS) energy sources as an alternative energy in the event of a sudden PLN power outage. The sensors used in this system include the HCR-04 ultrasonic sensor to monitor water availability and the water flow sensor to measure water flow (discharge). Sensor data is processed by the ESP32 microcontroller and sent to the Blynk cloud platform via an internet connection and displayed on an LCD. System testing shows that the system can send sensor data to the cloud platform stably and in real-time. Data visualization on the cloud platform is easy to understand and helps hydroponic owners monitor water conditions in hydroponic systems. This water monitoring system can help users optimize water use in hydroponic systems.
Integrasi Sensor Fleksibel dan Getaran pada Perangkat Rehabilitasi Pasien Stroke Berbasis IoT: - Sigalingging, Doarto Watrio; M. Nawawi; RD. Kusumanto
Jurnal Elektronika dan Otomasi Industri Vol. 12 No. 1 (2025): Vol 12 No 1 (Mei 2025): Jurnal Elkolind Vol 12 No 1 (Mei 2025)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v12i1.7490

Abstract

Di seluruh dunia, stroke merupakan penyebab utama kecacatan dan kematian termasuk di Indonesia, karena berdampak besar pada fungsi motorik terutama pada anggota tubuh seperti jari tangan. Untuk mendapatkan kembali kemampuan gerak, rehabilitasi pasca stroke membutuhkan terapi fisik yang berkelanjutan. Sebuah sistem smart control dan monitoring sarung tangan rehabilitasi yang terintegrasi dengan teknologi Internet of Things (IoT) menggunakan exoskeleton pneumatic soft-actuator. Sarung tangan ini memiliki sensor getar, tekanan, dan fleksibel yang melacak aktivitas jari pasien secara real-time. Tenaga medis dapat melacak kemajuan terapi pasien dengan mengirimkan data sensor ke website server melalui modul ESP32. Melalui pemantauan dan stimulasi terprogram, sistem ini diharapkan dapat meningkatkan hasil rehabilitasi jari tangan pasien pasca stroke.
Deteksi Objek Menggunakan YOLOv5 dan YOLOv8 pada Perangkat Pemantauan Lingkungan Deden Lasmana; Nyayu Latifah Husn; RD. Kusumanto
Jurnal Elektronika dan Otomasi Industri Vol. 12 No. 2 (2025): Jurnal Elkolind Vol 12 No 2 (Juli 2025)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v12i2.7615

Abstract

Penelitian ini membandingkan efektivitas algoritma YOLOv5 dan YOLOv8 dalam mendeteksi objek seperti manusia, hewan, dan tumpukan hewan dalam sistem pemeliharaan berbasis AI. Dataset yang digunakan terdiri dari 5.000 gambar berbasis anotasi, dengan data untuk 70% penelitian, 20% untuk validasi, dan 10% untuk pengujian. Model dievaluasi menggunakan metrik precision, recall, mAP0.5, dan mAP0.5:0.95 setelah 50 epoch. Hasilnya menunjukkan bahwa YOLOv8 memiliki performa keseluruhan yang lebih baik daripada YOLOv5, terutama pada metrik mAP0.5:0.95 dengan peningkatan sebesar 25%, sedangkan YOLOv5 hanya mencapai 10%. Dalam hal mendeteksi objek yang kompleks, YOLOv8 lebih akurat daripada YOLOv5, yang lebih cepat tetapi kurang sensitif terhadap objek yang lebih kecil. Hasilnya, YOLOv8 lebih cocok untuk aplikasi pendeteksi lingkungan secara real-time, meningkatkan sampah yang berkelanjutan, dan berintegrasi dengan konsep smart city.
Co-Authors Deden Lasmana Dewi Permata Sari Jhofy Ricardo P Sitindaon M. Nawawi Mardiyansah Nyayu Latifah Husn Permata Sari, Dewi Sigalingging, Doarto Watrio