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Sistem Monitoring Suhu dan Kelembaban pada Budidaya Jamur Tiram Menggunakan ESP32 Ridhoi, Achmad; Setyadjit, Kukuh
Nucleus Journal Vol. 2 No. 1 (2023): May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v2i1.2102

Abstract

In order to get a good yield of oyster mushrooms, oyster mushroom farmers need to have good and correct knowledge of oyster mushroom cultivation, from seeding methods, mushroom fertilization, to maintenance of room conditions for oyster mushroom cultivation, farmers also need to maintain a room temperature of 28oC and 60% humidity. RH. In this final project, a tool is designed that can make it easier for oyster mushroom cultivators in places where oyster mushrooms are not supposed to be cultivated, such as in the city of Sidoarjo or anywhere that has hot weather, a temperature of 28oC and humidity of 60% RH is needed to produce maximum yields. . This tool is designed with a DHT 22 sensor which functions as a temperature and humidity detector for oyster mushroom cultivation which will later send a digital signal to the ESP32 microcontroller to process display data in the blink application, to provide command processes through the blynk application to turn on the exhaust and water pump. With this research, through the integration of monitoring the blynk application, the ESP32 microcontroller, Exhaust, and water pump can be useful for field users. This tool can help mushroom farmers remotely monitor and control temperature and humidity in hot cities.
Sistem Sortir Ikan Lele Otomatis Menggunakan Counter dan IoT Saputra, Rian Hadi; Hartayu, Ratna; Setyadjit, Kukuh
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.20787

Abstract

Proses sortir ikan lele yang masih dilakukan secara manual sering kali menimbulkan ketidakefisienan dalam hal waktu dan tenaga. Untuk menjawab permasalahan tersebut, penelitian ini mengembangkan sistem sortir otomatis yang dapat menghitung jumlah dan mengukur berat ikan lele secara real-time. Sistem ini dibangun menggunakan mikrokontroler Arduino Mega yang terhubung dengan tiga sensor Loadcell dan tiga sensor Proximity Infrared. Data dari sensor ditampilkan melalui LCD 20x4 dan dikirim ke pengguna melalui Bot Telegram sebagai bagian dari integrasi Internet of Things (IoT). Hasil pengujian menunjukkan bahwa sistem mampu bekerja dengan cukup baik, dengan rata-rata error pengukuran berat sebesar 0,13 kg (0,87%) dan rata-rata kesalahan jumlah ikan sebesar 3,5 ekor. Sistem ini terbukti dapat menyederhanakan proses sortir ikan lele secara otomatis, mengurangi ketergantungan terhadap tenaga kerja manual, dan memberikan kemudahan pemantauan dari jarak jauh.
BUMDes Development Program by Creating Packaging Design and Marketing Through Online Stores to Increase Economic Value in Balongmojo Village, Mojokerto Widagdo, Reza Sarwo; Ardianik, Ardianik; Hartayu, Ratna; Setyadjit, Kukuh; Kusmiyati, Kusmiyati
Pelita: Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 2 (2024): Pelita: Jurnal Pengabdian kepada Masyarakat
Publisher : Perkumpulan Kualitama Edukatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51651/pjpm.v4i2.503

Abstract

Achieving social welfare in all aspects is one of Indonesia's national goals. The village, as the smallest unit in the structure of society, is often neglected in efforts to achieve this goal. Therefore, regulations were created to address village issues in the hope of improving their welfare. One of the aspects regulated in village regulations is BUMDes, an entity that has a significant role in improving the village economy. This article will discuss the role of BUMDes in advancing the economy, with a case study of Balongmojo Village. Several work programs are proposed, including diversifying the production of kerupuk kelor, creating attractive packaging designs using Canva, and utilizing sugarcane bagasse waste to make it marketable. The results show that BUMDes can be effective in improving the economy of Balongmojo Village by developing local entrepreneurs through strong branding strategies and product market expansion.
Sistem Monitoring Suhu Dan Kelembaban Pada Budidaya Jamur Tiram Menggunakan ESP32 Ridho’i, Achmad; Setyadjit, Kukuh; Era Yordhan, Bayu
Jurnal FORTECH Vol. 4 No. 1 (2023): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v4i1.4103

Abstract

In order to get a good yield of oyster mushrooms, oyster mushroom farmers need to have good and correct knowledge of oyster mushroom cultivation, from seeding methods, mushroom fertilization, to maintenance of room conditions for oyster mushroom cultivation, farmers also need to maintain a room temperature of 28oC and 60% humidity. RH. In this final project, a tool is designed that can make it easier for oyster mushroom cultivators in places where oyster mushrooms are not supposed to be cultivated, such as in the city of Sidoarjo or anywhere that has hot weather, a temperature of 28oC and humidity of 60% RH is needed to produce maximum yields. . This tool is designed with a DHT 22 sensor which functions as a temperature and humidity detector for oyster mushroom cultivation which will later send a digital signal to the ESP32 microcontroller to process display data in the blink application, to provide command processes through the blynk application to turn on the exhaust and water pump. With this research, through the integration of monitoring the blynk application, the ESP32 microcontroller, Exhaust, and water pump can be useful for field users. This tool can help mushroom farmers remotely monitor and control temperature and humidity in hot cities.
Pengembangan Kontrol Robot ARM 4 DOF Berbasis Robot Operating System (ROS) Ramadhany, Mustopa Dwi; Santoso, Santoso; Ratna Hartayu, Ratna; Setyadjit, Kukuh; Hariadi, Balok; Swarga, Lutfi Agung; Adriaty Basyarach, Niken
SinarFe7 Vol. 7 No. 1 (2025): SinarFe7-7 2025
Publisher : FORTEI Regional VII Jawa Timur

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

Abstract

Abstrak- Penelitian ini mengembangkan sistem kontrol untuk robot lengan (ARM) 4 DOF menggunakan Robot Operating System (ROS) dengan antarmuka joystick. Robot 4 DOF memberikan maneuverabilitas yang memadai untuk tugas-tugas manipulasi dalam bidang datar dan ruang terbatas. Pemilihan joystick sebagai perangkat input memberikan pengalaman kontrol yang intuitif, memungkinkan operator beradaptasi dengan cepat. Kerangka kerja ROS memfasilitasi integrasi yang lancar antara berbagai komponen perangkat keras dan lunak, menjamin skalabilitas dan kemudahan pengembangan. Hasil eksperimen menunjukkan efektivitas kontrol berbasis ROS dalam mencapai manipulasi yang halus dan akurat pada robot lengan 4 DOF. Sistem yang dikembangkan menunjukkan potensi kuat untuk aplikasi dalam edukasi robotika, prototyping, dan manipulasi objek ringan.
Peningkatan Kualitas Sinyal Elektrokardiogram dengan Filter Adaptif Recursive Least Squares Santoso, Santoso; Hartayu, Ratna; Slamet, Puji; Andriawan, Aris Heri; Setyadjit, Kukuh; Cahyono, Mochammad Irfan; Jabaruddin, Abdul
INTEGER: Journal of Information Technology Vol 10, No 2 (2025): September
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.0.v10i2.7775

Abstract

This paper presents a comparative analysis of two adaptive filtering algorithms, namely Least Mean Square (LMS) and Recursive Least Square (RLS), for denoising electrocardiogram (EKG) signals contaminated with Gaussian noise. A five-second EKG signal was extracted from a PhysioNet database and artificially corrupted by additive white Gaussian noise. The noisy signal was then processed using both LMS and RLS filters, where parameter tuning was applied to each algorithm to optimize performance. The evaluation metrics used in this study include Mean Squared Error (MSE) and Signal-to-Noise Ratio (SNR). Experimental results demonstrate that the LMS filter achieved its best performance at a learning rate (μ) of 0.01, resulting in an MSE of 0.1218 and an SNR of 4.18 dB. In contrast, the RLS filter provided superior results with a forgetting factor (λ) of 0.99, achieving an MSE of 0.1179 and an SNR of 4.32 dB. These findings indicate that while RLS outperforms LMS in terms of signal recovery accuracy, LMS remains advantageous in computational simplicity and is more suitable for real-time applications. The comparative analysis suggests that the choice between LMS and RLS should consider the trade-off between denoising performance and computational efficiency, especially in portable or embedded biomedical devices.