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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) ELKHA : Jurnal Teknik Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Informasi dan Ilmu Komputer Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer JURNAL NASIONAL TEKNIK ELEKTRO Bulletin of Electrical Engineering and Informatics Journal Of Vocational Health Studies Elektrika JURNAL PENGABDIAN KEPADA MASYARAKAT Berdikari: Jurnal Pengabdian Masyarakat Indonesia PEDULI: Jurnal Imiah Pengabdian Pada Masyarakat Darmabakti Cendekia: Journal of Community Service and Engagements Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Abdidas INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Indonesian Applied Physics Letters International Journal of Robotics and Control Systems JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Nasional Pengabdian Masyarakat J-Innovation Sewagati RENATA Jurnal Pengabdian Masyarakat Kita Semua Journal of Embedded Systems, Security and Intelligent Systems
Yunardi, Riky Tri
Department Of Engineering, Faculty Of Vocational Studies, Universitas Airlangga, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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DESAIN ALAT PENGUKUR TINGGI BADAN YANG DILENGKAPI DENGAN FITUR DETEKSI STUNTING Tunggadewi, Elsyea Adia; Yunardi, Riky Tri; Agustin, Eva Inaiyah
Elektrika Vol. 17 No. 1 (2025): April 2025
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v17i1.11382

Abstract

Stunting in children has become an important global health problem and requires effective detection methods. This research has designed and developed an automatic child height measuring device equipped with a stunting detection feature to support early childhood health monitoring. This device utilizes an ultrasonic sensor to measure height in real time and compare the measurement results with applicable child growth standards to identify the risk of stunting in children. The design of this device has been designed so that it is ergonomic and easy to operate and can be used both in household environments and health facilities. Test results show that this device can provide height measurements with an accuracy rate of 98.5%, with an average time of 2.5 seconds for each measurement. And this device can detect stunting with a sensitivity level of 95%. Thus, this device can be an efficient device in assisting efforts to prevent and treat stunting in early childhood. This device is expected to make a significant contribution to improving the quality of early childhood health and supporting efforts to prevent stunting in the future.   Keywords: Health, child health, stunting detection, height measurement   ABSTRAK Stunting pada anak telah menjadi permasalahan kesehatan global yang penting dan memerlukan metode pendeteksian secara efektif. Penelitian ini telah merancang dan mengembangkan alat pengukur tinggi badan anak otomatis yang dilengkapi dengan fitur pendeteksian stunting untuk mendukung pemantauan kesehatan anak usia dini. Alat ini telah memanfaatkan sensor ultrasonik untuk melakukan pengukuran tinggi badan secara real time dan membandingkan hasil pengukuran dengan standar pertumbuhan anak yang berlaku untuk mengidentifikasi resiko stunting pada anak. Desain alat ini telah dirancang sehingga ergonomis dan mudah untuk dioperasikan, serta dapat digunakan baik di lingkungan rumah tangga maupun fasilitas kesehatan. Hasil pengujian menunjukkan bahwa alat ini mampu memberikan pengukuran tinggi badan dengan tingkat akurasi sebesar 98,5%, dengan waktu rata-rata 2,5 detik setiap pengukuran. Serta alat ini mampu mendeteksi adanya stunting dengan tingkat sensitivitas sebesar 95%. Dengan demikian, alat ini dapat menjadi perangkat yang efisien dalam membantu upaya pencegahan dan penanganan stunting pada anak usia dini. Alat ini diharapkan dapat memberikan kontribusi yang signifikan dalam peningkatan kualitas kesehatan anak usia dini serta mendukung upaya pencegahan stunting pada masa mendatang.
Penerapan Teknologi Mesin Pengering Gabah Untuk Mendukung Optimalisasi Produksi Kelompok Petani Padi Di Dusun Blawen, Kabupaten Jombang Elsyea Adia Tunggadewi; Sisca Dina Nur Nahdliyah; Riky Tri Yunardi; Deny Arifianto; Wilda Prihasty; Aji Akbar Firdaus; Eva Inaiyah Agustin
RENATA: Jurnal Pengabdian Masyarakat Kita Semua Vol. 4 No. 1 (2026): Renata - April 2026
Publisher : PT Berkah Tematik Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61124/1.renata.326

Abstract

Pengeringan gabah merupakan tahapan penting dalam proses pascapanen padi, namun metode tradisional yang mengandalkan sinar matahari masih menghadapi berbagai kendala, terutama ketergantungan pada kondisi cuaca dan durasi pengeringan yang panjang. Kegiatan pengabdian kepada masyarakat yang dilaksanakan pada 7 November 2025 di Dusun Blawen, Desa Rejoslamet, Kabupaten Jombang ini bertujuan memberikan solusi melalui penerapan teknologi mesin pengering gabah untuk meningkatkan efisiensi dan kualitas pengeringan. Metode Community Based Research (CBR) digunakan untuk mengidentifikasi permasalahan, merancang teknologi yang sesuai kebutuhan, melaksanakan pelatihan, dan melakukan evaluasi kinerja mesin. Mesin pengering yang dirancang memiliki kapasitas 5–25 kg, dilengkapi sistem pemantauan suhu dan berat gabah, serta mekanisme pemilah sekam. Hasil evaluasi menunjukkan mesin mampu mempertahankan suhu pengeringan pada kisaran 65–75 °C serta menghasilkan penurunan berat gabah yang konsisten. Berdasarkan perhitungan kadar air berbasis penurunan berat diperoleh sekitar 21–22% wb dalam 10 menit pengeringan, menunjukkan proses penguapan air telah berlangsung meskipun belum mencapai standar penyimpanan. Demonstrasi praktik juga mengidentifikasi beberapa aspek teknis yang perlu diperbaiki, seperti celah pada tutup drum dan efisiensi pemilahan sekam. Secara keseluruhan, program ini meningkatkan pemahaman teknis dan keterampilan operasional petani, serta memberikan dampak positif bagi peningkatan produktivitas dan keberlanjutan pengolahan pascapanen, sejalan dengan target Sustainable Development Goals (SDGs) khususnya Zero Hunger
PID-Based Design of DC Motor Speed Control Irhamni, Irfan; Rulaningtyas, Riries; Yunardi, Riky Tri
Indonesian Applied Physics Letters Vol. 2 No. 1 (2021): Indonesian Applied Physics Letters - June 2021
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v2i1.28297

Abstract

DC motor is an easy-to-apply motor but has inconsistent speed due to the existing load. PID (Proportional Integral Differential) is one of the standard controllers of DC motors. This study aimed to know the PID controller's performance in controlling the speed of a DC motor. The results showed that the PID controller could improve the error and transient response of the system response generated from DC motor speed control. Based on the obtained system response data from testing and tuning the PID parameters in controlling the speed of a DC motor, the PID controller parameters can affect the rate of a DC motor on the setpoint of 500, 1000, 1500: Kp = 0.05, Ki = 0.0198, Kd = 0.05.
Comparative Analysis of MLP, 1D CNN, and Hybrid Models for Elbow Joint Angle Classification Using Surface Electromyography Signals Riky Tri Yunardi; Nasa Zata Dina; Deny Arifianto
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 2 (2026): June 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i2.2622

Abstract

Purpose – This study aims to analyze and compare the performance of a Multi-Layer Perceptron (MLP), a One-Dimensional Convolutional Neural Network (1D CNN), and a hybrid model for classifying three elbow joint angle movements using surface electromyography (sEMG) signals. Design/methods/approach – This dataset consists of sEMG signals collected from 15 healthy participants performing three elbow joint angle movements at 45°, 90°, and 135° with 50 repetitions, for a total of 2,250 data points. The proposed MLP model uses time-domain features extracted using Root Mean Square (RMS) and a Kalman filter, while a 1D CNN learns features from the raw, segmented signals from Shield EMG. A hybrid model combines both features. Model performance is evaluated using accuracy, precision, recall, F1 score, and confusion matrix. Findings - The results show that the 1D CNN model achieved score accuracy 0.78, outperforming the MLP model with accuracy of 0.65 , indicating superior feature learning from the raw sEMG signal. The hybrid model achieved accuracy of 0.82 and was more stable in discriminating intermediate elbow joint angles, indicating that feature fusion improves classification reliability. Research implications/limitations – This study was limited by the relatively small number of participants and the lack of an external validation dataset, which may impact the generalizability of the results. Future research should include larger and more diverse populations and explore more advanced architectures. Originality/value – This study provides a comparison between MLP, 1D CNN, and hybrid model approaches for sEMG-based elbow joint angle classification, highlighting the strengths of each method and offering insights for the development of robust rehabilitation technologies.
Co-Authors A'yun, Qurrotul Arief Muchadin Arifianto, Deny Ario Imandiri, Ario Bachtiar, Farhan Bambang Suharto Bascha, Umi Farichah Dani Setiawan Dayyana, Nimas Rokhmatik Deny Arifianto Devy Kuswidiastuti Dian Yulie Reindrawati Dimas Okky Anggriawan Djoko Purwanto Eka Lestari Elsyea Adia Tunggadewi Elsyea Adia Tunggadewi Eva Inaiyah Agustin Farhan Bachtiar Firdaus, Aji Akbar Franky Chandra Satria Arisgraha Intan Prananingrum, Jihan Irhamni, Irfan Jihan Intan Prananingrum Jiwangga Hadi Nata Kartikasari, Amilia Khusnul Ain Kurnia Latifa Priyanti Mardhiyah, Ajeng W. Maulina, Farah Miladyah, Rizka Moh Yasin Moh. Zakky Zulfiar Muchadin, Arief Muhammad Attamimi Muhammad Rivai Muharom, Syahri Nasa Zata Dina Nur Emma Suriani Pramono Priyanti, Kurnia Latifa Pujiyanto Retna Apsari Riries Rulaningtyas Risalatul Latifah Riza Agung Ronny Mardiyanto, Ronny Rr. Wanda Auruma Putri Rudy Dikairono Ruth Johana Hutagalung Sisca Dina Nur Nahdliyah Teguh Aryo Nugroho Tesa Eranti Putri Totok Mujiono, Totok Tri Anggono Prijo, Tri Anggono Tri Arief Sardjono Wilda Prihasty WINARNO Winarno, Winarno Yahya, M. Hafi