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All Journal Journal of Engineering and Technological Sciences ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Panrita Abdi - Jurnal Pengabdian pada Masyarakat Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Permata Indonesia Engineering Science Letter ARMADA : Jurnal Penelitian Multidisiplin eProceedings of Engineering SWAGATI: Journal of Community Service Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Engineering and Technological Sciences Proceeding of Community Service and Engagement
Hesty Susanti
Universitas Telkom
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Implementasi Teknologi HygieScan sebagai Media Edukasi CTPS pada Siswa SDN Cipagalo 3 Bandung Salsabila Aurellia; Hesty Susanti; Fenty Alia; Hesty Syfa Asyafiah; Andi Tri Rahma Utami; Aurelia Ardhanisa Putri; Sharah Achmanda; Irfan Rifa’i
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 5 No. 2 (2025): Prosiding COSECANT : Community Service and Engagement Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v5i2.10310

Abstract

Kegiatan pengabdian masyarakat ini bertujuan meningkatkan pemahaman dan praktik Cuci Tangan Pakai Sabun (CTPS) sebagai bagian dari Perilaku Hidup Bersih dan Sehat (PHBS) pada siswa kelas 4 dan 5 SDN Cipagalo 3 Bandung melalui pendekatan demonstratif dan penggunaan teknologi tepat guna HygieScan. Kegiatan dilaksanakan melalui beberapa tahapan, mulai dari pemberian edukasi mengenai PHBS dan teknik CTPS, senam cuci tangan sebagai metode interaktif, praktik langsung mencuci tangan, hingga evaluasi kebersihan tangan menggunakan perangkat HygieScan berbasis pencahayaan ultraviolet. Perangkat ini memberikan umpan balik visual yang memungkinkan siswa melihat area tangan yang masih terkontaminasi setelah mencuci tangan. Hasil kegiatan menunjukkan peningkatan keterampilan CTPS pada sebagian besar siswa, yang terlihat dari berkurangnya area bercahaya saat pemindaian kedua. Antusiasme siswa juga tinggi, ditunjukkan oleh banyaknya peserta yang secara sukarela melakukan pemeriksaan ulang. Evaluasi melalui kuesioner kepada guru dan siswa menunjukkan respons sangat positif terhadap metode edukasi yang digunakan, efektivitas fasilitator, serta harapan agar program serupa dilakukan kembali. Sebagai bentuk keberlanjutan, dua unit HygieScan beserta buku manual dan media edukasi dihibahkan kepada pihak sekolah untuk mendukung pemanfaatan alat secara mandiri. Temuan ini menunjukkan bahwa integrasi teknologi sederhana namun interaktif dapat menjadi strategi edukasi yang efektif dalam memperkuat pembiasaan CTPS dan mendukung pencapaian PHBS di Sekolah Dasar.
Hybrid Spatial-Temporal Deep Learning Architectures for FMCW Radar-Based Human Activity Recognition Daffa Ahmadhan Khusumah; Fiky Yosef Suratman; Hesty Susanti
ARMADA : Jurnal Penelitian Multidisiplin Vol. 4 No. 7 (2026): ARMADA : Jurnal Penelitian Multidisplin, July 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/armada.v4i7.3001

Abstract

Human Activity Recognition (HAR) supports intelligent healthcare, surveillance, assisted living, and human–machine interaction. Vision-based methods are often limited by privacy concerns, illumination changes, and occlusion. This study proposes a hybrid spatial–temporal deep learning framework for FMCW radar-based HAR using micro-Doppler spectrograms. Four architectures are compared: 3D CNN–LSTM, 3D Bi-LSTM–CNN, CNN–Dilated Convolution–LSTM, and a Hybrid Ensemble CNN-LSTM with a Decision Tree classifier. Radar processing includes beat-frequency extraction, Range FFT, Doppler FFT, clutter suppression, and spectrogram generation. Convolutional layers extract spatial features, while LSTM and Bi-LSTM networks model temporal dependencies; dilated convolution expands the receptive field efficiently. Experimental results show that the hybrid models outperform conventional CNN and standalone LSTM approaches in accuracy, robustness, and generalisation. The hybrid ensemble achieves the best performance by combining spatial–temporal learning with ensemble optimisation while remaining effective in noisy environments and preserving user privacy.
Estimation of Blood Glucose Levels Using a Non- Invasive Infrared-Based Optical Sensor: A Pilot Study Husneni Mukhtar; Muhammad Mugni Zaelani; Muhammad Rafy Nasrullah; Hesty Susanti
Engineering Science Letter Vol. 4 No. 02 (2025): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.001218

Abstract

Blood glucose measurement is critical to diabetes management and prevents chronic complications such as neuropathy, nephropathy, and retinopathy. However, current methods are invasive, uncomfortable, and costly. Although several non-invasive approaches have been explored, no commercially available device offers a simple, affordable, and user-friendly solution for non-invasive blood glucose estimation, particularly one suitable for self-measurement outside clinical settings. This underscores the need for practical and inclusive alternatives. This study aimed to develop and evaluate a blood glucose estimation device using infrared LEDs to measure light transmittance through the fingertip. The research was conducted in two stages: initial testing using glucose solutions with varying concentrations (0.02, 0.06, 0.10, and 0.20 g/ml) and added red dye (0.05, 0.10, and 0.15 ml) to validate the sensor's response, followed by direct validation on human fingers against commercial blood glucose test strip readings. The results showed a strong positive correlation between sensor output and glucose levels, with a Pearson correlation coefficient of r = 0.995. Using a regression-based calibration model, the system achieved a mean absolute error (MAE) of 1.63 mg/dL, and a root mean square error (RMSE) of 1.72 mg/dL. Cross-validation, such as Bland-Altman analysis and Clarke Error Grid, was conducted to verify model robustness. These preliminary results suggest that the developed system holds strong potential as a simple, affordable, and non-invasive tool for blood glucose self-monitoring, especially in resource-limited settings. However, further validation on larger, more diverse populations is necessary.
“Influence of Visual Input and Surface Stability on Gastrocnemius Muscle Activation During Quiet Standing Using Multi-Feature EMG and Bilateral Assessment.” Liana Nafisa Saftari; Hesty Susanti; Gloria Belinda Randa; Latifa Majesta Saputra; Ashila Ghaitsa Azzahra
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 8 No. 1 (2026): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v8i1.297

Abstract

Postural stability depends on multisensory integration, yet most studies focus on a single EMG feature or sensory condition at a time. This creates a significant gap in understanding how multiple EMG features change when various sensory inputs are altered during quiet standing. To address this, the present study examined bilateral medial and lateral gastrocnemius activation using five EMG features: Mean Absolute Value (MAV), Root Mean Square (RMS), Waveform Length (WL), Integrated EMG (IEMG), and Total Power (PT) across four sensory conditions that combine visual input (eyes open or closed) and surface stability (stable or unstable). A one-way ANOVA revealed significant condition effects for RMS, MAV, WL, and IEMG (p < 0.05), while PT showed only a non-significant trend. Paired t-test results indicated that MAV significantly increased on the unstable surface with eyes closed compared to the stable surface (t(4) = 4.793, p = 0.009), WL increased in the right lateral gastrocnemius under the same condition (t(4) = 3.976, p = 0.016), and closing the eyes on a stable surface significantly increased WL in the right medial gastrocnemius (t(4) = 6.209, p = 0.003). Across features, the right gastrocnemius consistently showed greater modulation than the left, suggesting dominance-related asymmetry in neuromuscular control. This study provides one of the first bilateral multi-feature EMG characterizations of sensory perturbations during quiet standing. The findings demonstrate that the absence of vision increases neuromuscular demand even on stable surfaces, and that unstable surfaces further amplify activation, particularly in complexity-related features such as WL. These outcomes highlight the potential of EMG features, especially WL, as objective biomarkers for balance assessment. Clinically, the results may inform rehabilitation and fall-prevention programs by supporting the use of unstable surfaces and vision-restricted exercises to enhance proprioceptive and vestibular compensation
Co-Authors Achmad Rizal Alia, Fenty Andi Tri Rahma Utami Andika , Evan Enggana Arik Geraldy Fauzi, Muhammad Ashila Ghaitsa Azzahra Aurelia Ardhanisa Putri Aziz, Burhanuddin Bambang Setia Nugroho Daffa Ahmadhan Khusumah Deddy Kurniadi Devina, Helma Dien Rahmawati Diena Yudiarti Dita Puspitasari Eka Afrima Sari Fenty Alia Fikri Ardian Fiky Yosef Suratman GERALDI, ARIK Gloria Belinda Randa Harinto Nur Seha Hesty Syfa Asyafiah Husneni Mukhtar Irfan Rifa’i Istiqomah Jessica Jessica Joko Santoso Kusnahadi Susanto Latifa Majesta Saputra Liana Nafisa Saftari Muhammad Mugni Zaelani Muhammad Rafy Nasrullah Mursito Budi, Eko Nadia Husnul Nicola Akmal Afrinaldi Ramadhan, Muhammad Rizqi Syah Salsabila Aurellia Sharah Achmanda Sheizi Prista Sari Sony Sumaryo SUDIYONO, OOY ARIE Suprijanto Suprijanto Suryo Adhi Wibowo Suto Setiyadi Teuku Zulkarnain Muttaqien Wahmisari Priharti Willy Anugrah Cahyadi Yoga Pujiraharjo