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All Journal Jurnal Teknologi Bahan dan Barang Teknik G-Tech : Jurnal Teknologi Terapan Journal of Soft Computing Exploration Jurnal Pengabdian Masyarakat Bhinneka
Mukromin, Radian Indra
Universitas Kadiri, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Public Health

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Prediksi Daya Panel Surya Kapasitas 50 Wp Menggunakan Model Regresi Linier Majemuk Radian Indra Mukromin; Muhammad Khamim Asy'ari
Jurnal Teknologi Bahan dan Barang Teknik Vol 10, No 2 (2020)
Publisher : Balai Besar Bahan dan Barang Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37209/jtbbt.v10i2.166

Abstract

Sistem monitoring daya listrik pada panel surya penting dilakukan. Hal ini disebabkan daya listrik panel surya dapat mempengaruhi performansi pengisian baterai dan keandalan dari panel surya.  Sifat stokastik dari temperatur panel surya dan iradiasi surya mengakibatkan fluktuasi daya listrik, sehingga diperlukan sistem prediksi daya panel surya. Sistem prediksi dapat dirancang untuk mendapatkan model prediksi daya panel surya secara matematik menggunakan model regresi linier majemuk. Model dibangun untuk sistem prediksi dengan menggunakan data latih dari keluaran panel surya. Variasi yang diberikan adalah jenis variabel masukan untuk membangun model. Variabel masukan model terdiri dari temperatur panel surya, iradiasi surya, dan kombinasi dari keduanya. Pengujian data dilakukan dengan menggunakan uji korelasi majemuk, uji signifikasi regresi linier majemuk, dan uji signifikasi koefisien regresi. Hasil perancangan sistem prediksi terbaik adalah kombinasi temperatur panel surya dan iradiasi surya sebagai variabel masukan. Nilai MSE(mean square error) terkecil sebesar 9,83 untuk data latih dan 22,73 untuk data uji.
Development of an IoT-based temperature and humidity prediction system for baby incubators using solar panels Mukromin, Radian Indra; Setiawan, Fachruddin; Pradana, Dio Alif; Hyperastuty, Agoes Santika; Mukhammad, Yanuar
Journal of Soft Computing Exploration Vol. 5 No. 4 (2024): December 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i4.497

Abstract

Baby incubators are crucial medical devices to maintain environmental stability for babies born prematurely or have health problems. This research aims to develop a prediction system for temperature and humidity variables in baby incubators by utilizing Internet of Things (IoT) technology and solar panels as the main energy source. Despite advancements in IoT-based incubator systems, existing solutions often rely on reactive approaches, making them less effective in preventing harmful environmental fluctuations. Addressing this gap, this study focuses on optimizing temperature and humidity predictions using artificial intelligence (AI) for proactive control. Using a DHT22 sensor to measure temperature and humidity, as well as a 1 Wp solar panel, the system is designed to operate autonomously in areas with limited access to electricity. The methods used include data collection, data processing to calculate correlation coefficients, and selection of linear regression models for the analysis of relationships between variables. The results showed that the linear regression model applied had a good temperature and humidity prediction with a Mean Squared Error (MSE) value of 0.45 for the training data and 7.32 for the test data.
Peran Elektromedis dalam Pengelolaan Teknis Peralatan Maternal-Neonatal untuk Menjamin Keselamatan dan Keandalan Alat Kesehatan di Puskesmas Kota Kediri Agoes Santika Hyperastuty; Dio Alif Pradana; Rahma Ajeng Puspitasari; Radian Indra Mukromin; Lailatul Inayah; Yanuar Mukhammad; Muhammad Yusron Al Aziz; Izzet Taqiyuddin Hakim; Selfanus Heksa Kurnianto
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 4 (2026): Juli
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i4.1396

Abstract

Peralatan maternal-neonatal memiliki peran penting dalam mendukung pelayanan kesehatan ibu dan bayi di puskesmas. Alat kesehatan yang tidak terpelihara, tidak terkalibrasi, atau tidak terdokumentasi dengan baik dapat menimbulkan risiko kesalahan pengukuran, keterlambatan pelayanan, serta menurunkan mutu dan keselamatan pasien. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk menggambarkan peran elektromedis dalam pengelolaan teknis peralatan maternal-neonatal di Puskesmas Kota Kediri. Metode yang digunakan adalah deskriptif kualitatif melalui tahapan koordinasi, identifikasi alat, inventarisasi, pemeriksaan kondisi fisik, pengecekan fungsi, pemeliharaan, kalibrasi, dokumentasi, pelabelan status kelaikan, dan pemberian rekomendasi tindak lanjut. Hasil kegiatan menunjukkan bahwa dari 41 unit alat yang diperiksa, sebanyak 38 unit atau 92,68% dinyatakan laik pakai, 1 unit atau 2,44% laik dengan catatan, dan 2 unit atau 4,88% tidak laik. Hasil kalibrasi dan uji fungsi menunjukkan bahwa fetal doppler dan sphygmomanometer 75% memenuhi parameter teknis yang diuji dan 25% laik dengan catatan. Kegiatan ini menunjukkan bahwa keterlibatan tenaga elektromedis berperan penting dalam memastikan alat kesehatan berada dalam kondisi aman, akurat, andal, dan siap digunakan. Pengelolaan teknis yang terencana dan berkelanjutan diperlukan untuk mendukung keselamatan pasien serta meningkatkan mutu pelayanan maternal-neonatal di puskesmas.
Design and Evaluation of Automated Fluid-Transfer Suction Pump Based on Arduino for Thoracic Trauma Applications Fuad Afandi; Radian Indra Mukromin; Yanuar Mukhammad; Rahma Ajeng Puspitasari
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8965

Abstract

Thoracic trauma frequently leads to the accumulation of air or fluid within the pleural cavity, compromising pulmonary expansion and requiring immediate evacuation through suction systems. Conventional suction pumps rely heavily on continuous manual monitoring to prevent container overflow, creating potential risks of backflow, contamination, or device malfunction. This study aims to design and evaluate an automated dual-container suction pump prototype capable of maintaining stable suction pressure while minimizing manual supervision during fluid evacuation. The proposed system employs an Arduino Uno microcontroller and integrates an MPX5700DP pressure sensor for suction monitoring, an E18-D80NK infrared sensor for full-container detection, a 12 V solenoid valve for automated flow diversion, a 25DA Solid State Relay (SSR) for safe power switching, and a buzzer alarm for emergency shutdown. Experimental results indicate that all electrical outputs remain within acceptable tolerance ranges (1.2–4.7%), and suction pressure is consistently maintained at 70 cmHg before and after system modification. The accuracy of infrared sensor achieved a detection accuracy of only 30%, highlighting its limited suitability for reliable medical fluid-level monitoring and underscoring the need for alternative sensing technologies in future implementations. Despite this limitation, the prototype demonstrates the feasibility of automated fluid-transfer control and provides a practical foundation for the development of safer and more reliable suction systems for thoracic trauma applications.
Co-Authors Agoes Santika Hyperastuty Dio Alif Pradana Fuad Afandi Hyperastuty, Agoes Santika Izzet Taqiyuddin Hakim Lailatul Inayah Muhammad Khamim Asy'ari Muhammad Yusron Al Aziz Pradana, Dio Alif Rahma Ajeng Puspitasari Selfanus Heksa Kurnianto Setiawan, Fachruddin Yanuar Mukhammad Yanuar Mukhammad