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All Journal JURNAL TEKNOLOGI LINGKUNGAN Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) IJOG : Indonesian Journal on Geoscience ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Panrita Abdi - Jurnal Pengabdian pada Masyarakat Jurnal Teknologi dan Sistem Komputer JETT (Jurnal Elektro dan Telekomunikasi Terapan) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JMM (Jurnal Masyarakat Mandiri) Jurnal Otomasi Kontrol dan Instrumentasi Journal of Health Science and Prevention ComTech: Computer, Mathematics and Engineering Applications TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Indonesian Journal of electronics, electromedical engineering, and medical informatics Sawala : Jurnal pengabdian Masyarakat Pembangunan Sosial, Desa dan Masyarakat Engineering Science Letter eProceedings of Engineering Eduvest - Journal of Universal Studies Jurnal Rekayasa elektrika Journal Serambi Engineering (JSE) SWAGATI: Journal of Community Service Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Rekayasa elektrika
Husneni Mukhtar
Universitas Telkom
Religion Aerospace Engineering Arts Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Neuroscience Nursing Public Health Social Sciences Other

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Sistem Monitoring Detak Jantung dan Elektromiografi Pada Lansia Suyoso, Qozein Arif; Mukhtar, Husneni; Istiqomah, Istiqomah
eProceedings of Engineering Vol. 11 No. 1 (2024): Februari 2024
Publisher : eProceedings of Engineering

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Abstract

Kesenjangan pengobatan dalam menangani penyakit kognitif merupakan masalah kompleks yang ada di negara berpenghasilan rendah dan menengah. Berangkat dari kajian tersebut, maka proyek ini menggunakan produk terapi berupa video games pada lansia dengan masalah kognitif dan mengamati dampak yang diberikan pada lansia yang memainkan gamenya. Pada proyek ini kami menggunakan 3 macam game dan 2 buah sensor dalam mengamati perubahan kognitif yang ada pada lansia. Kemudian untuk sensor yang kami gunakan adalah HR untuk mengamati detak jantung, serta EMG untuk mengamati perubahan nilai tenaga atau kekuatan jari pada lansia. Proyek ini penulis menggunakan 9 responden untuk memainkan gamenya. Metode pada proyek ini adalah responden akan memainkan game selama 30 hari dan akan dilakukan pengujian selama 5 periode diantara sebelum, sesaat dan sesudah diberikan stimulus. Hasil yang kami dapat dari hasil pengukuran kami adalah bahwa 5 dari 9 responden menunjukan beberapa peningkatan kemampuan motorik sehingga dapat beradaptasi dengan gadget modern, kemudian hanya 2 dari 9 responden menunjukkan indikasi kecemasan dari nilai detak jantung yang melebihi 90 BPM pada dua sesi, dan untuk dari sisi medis maka responden diuji dengan menggunakan MMSE dan data yang didapat adalah bahwa 8 dari 9 responden yang ada menunjukkan kenaikan nilai, serta perbaikan kemampuan kognitif. Kata kunci : Game, Sensor, Lansia, Kognitif, Monitoring
Sistem Uji Berbasis Game untuk Mengamati Perubahan Kognitif pada Lansia (Game-Based Test System System for Observing Cognitive Changes in The Elderly) Makrus, Amar Chairil; Fathonah, Indra Wahyudin; Mukhtar, Husneni
eProceedings of Engineering Vol. 11 No. 2 (2024): April 2024
Publisher : eProceedings of Engineering

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Abstract

Manusia mengalami beberapa fase dalamkehidupan, dan salah satu fase tersebut adalah fase penuaan.Saat manusia berada pada fase tersebut, kemampuan fungsitubuh mengalami penurunan, khususnya pada fungsikognitif. Berangkat dari riset tersebut maka proyek inimenggunakan game pada lansia dengan masalah kognitif danmengamati dampak yang diberikan pada lansia yangmemainkan gamenya. Pada proyek ini kami menggunakantiga game dan dua sensor dalam mengamati perubahankognitif yang ada pada lansia. Ketiga game tersebut adalahTetris Amazing, Flip Memory, dan Solve IT. Game tersebutdikembangkan menggunakan Unity Engine sebagai enginenya.Kemudian untuk sensor yang kami gunakan adalahEEG untuk mengamati gelombang otak, serta GSR untukmengamati perubahan nilai stress pada lansia. Hasil yangkami dapat dari hasil pengukuran kami adalah bahwabeberapa responden menunjukan perbaikan kognitif otakyang diamati dengan EEG, kemudian enam dari Sembilanresponden menunjukkan kenaikan nilai relaksasi yangdidapatkan setelah bermain game terus menerus, dan untukdari sisi medis maka responden diuji dengan menggunakanMMSE dan data yang didapat adalah bahwa delapan darisembilan responden yang ada menunjukkan kenaikan nilai, serta perbaikan kemampuan kognitif. Kata kunci : Game, Sensor, Lansia, Kognitif, Unity.
Sistem Uji Berbasis Game untuk Mengamati Perubahan Kognitif pada Lansia (Game-Based Test System System for Observing Cognitive Changes in The Elderly) Salam, Zulfikar; Fathonah, Indra Wahyudin; Mukhtar, Husneni
eProceedings of Engineering Vol. 11 No. 2 (2024): April 2024
Publisher : eProceedings of Engineering

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Abstract

Manusia mengalami beberapa fase dalam kehidupan, dan salah satu fase tersebut adalah fase penuaan.Saat manusia berada pada fase tersebut, kemampuan fungsitubuh mengalami penurunan, khususnya pada fungsikognitif. Berangkat dari riset tersebut maka proyek inimenggunakan game pada lansia dengan masalah kognitif dan mengamati dampak yang diberikan pada lansia yangmemainkan gamenya. Pada proyek ini kami menggunakan tiga game dan dua sensor dalam mengamati perubahankognitif yang ada pada lansia. Ketiga game tersebut adalahTetris Amazing, Flip Memory, dan Solve IT. Game tersebutdikembangkan menggunakan Unity Engine sebagai enginenya.Kemudian untuk sensor yang kami gunakan adalahEEG untuk mengamati gelombang otak, serta GSR untukmengamati perubahan nilai stress pada lansia. Hasil yangkami dapat dari hasil pengukuran kami adalah bahwabeberapa responden menunjukan perbaikan kognitif otakyang diamati dengan EEG, kemudian enam dari Sembilanresponden menunjukkan kenaikan nilai relaksasi yangdidapatkan setelah bermain game terus menerus, dan untukdari sisi medis maka responden diuji dengan menggunakanMMSE dan data yang didapat adalah bahwa delapan darisembilan responden yang ada menunjukkan kenaikan nilai, serta perbaikan kemampuan kognitif. Kata kunci : Game, Sensor, Lansia, Kognitif, Unity.
Pengukuran Somatotype dan Center of Pressure (CoP) dengan Force Platform untuk Mengetahui Pengaruh Morfologi Tubuh terhadap Keseimbangan Postur Berdiri Susanti, Hesty; Mukhtar, Husneni; Rahmawati, Dien; Arik Geraldy Fauzi, Muhammad; Setiyadi, Suto
Jurnal Otomasi Kontrol dan Instrumentasi Vol 14 No 2 (2022): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2022.14.2.3

Abstract

The human ability to carry out daily activities is influenced by the balance of body posture in various positions, especially in a standing position. One of the factors of body balance is a biomechanical factor which is influenced by the morphology of the human body. Somatotype is a method of classifying the morphology of the human body, while the balance of human body posture can be measured based on the center of pressure (COP), which is the center of pressure generated when humans stand up. In this study, a system was designed to classify somatotypes using the Heath-Carter formula and assessment of body posture balance. Somatotype grouping is done with inputs in the form of body height measured with an ultrasonic sensor, body mass measured using a set of load cells to determine body mass index (BMI), and 8 anthropometric parameters. While the measurement of body balance is carried out by measuring the COP values using 8 load cell sensors. Eight anthropometric parameters were used, namely skin folds in the triceps, subscapular, supraspinal, and medial calf areas, the width of the femur and humerus bones, and the triceps and calf circumference. Statistical parameter values ​​in the form of mean, range, and approximate entropy (ApEn) are then calculated from the obtained COP values, i.e., for the medial-lateral (ML) and anterior-posterior (AP) directions, so that the center point of the COP, the displacement distance of each axis (ML and AP directions), and their stability can be determined. The measurement results are grouped and combined to display the type of somatotype associated with the COP value to obtain a relationship between the type of somatotype and a person's standing posture. Measurements were carried out on 14 male subjects with an age range of 15-23 years. The measurement results show an average error range of 0.37-2.58% for ultrasonic sensors, 0.64-4.67% for load cells, 0.1-0.6% for ApEn values ​​at COP in the medial-direction direction (ML COP), and 0% for ApEn in COP in the anterior-posterior direction (AP COP). The average difference range for ML COP is 0.03-0.84 cm, while the average for AP COP is 0.14-0.58 cm. These differences indicate a shift in the center of pressure on the subject's body when measurements are taken compared to the original state. The ectomorphic somatotype group had the greatest instability compared to 2 other somatotype groups, namely endomorphic and mesomorphic. In each somatotype group, the value of the AP COP range which is greater than in the ML COP indicates a greater tendency of body sway in the anterior-posterior direction. Keywords: somatotype; balance posture; center of pressure; body morphology
Development of a Responsive Airbag Hardware Mechanism for Fall Mitigation and Injury Reduction in the Elderly Sigit Indriyanto; Willy Anugrah Cahyadi; Husneni Mukhtar; Muhammad Fasha Aqillah; Suto Setiyadi
Eduvest - Journal of Universal Studies Vol. 6 No. 6 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i6.52958

Abstract

Falls pose a significant risk to elderly individuals and often result in serious injuries due to the lack of immediate protective mechanisms. Therefore, a real-time protective system is needed to reduce the impact of falls. The research aims to develop a wearable airbag vest system that integrates real-time fall detection with a servo-based mechanical triggering mechanism for rapid airbag deployment. The system utilized an IMU sensor to monitor body motion and orientation, a microcontroller to process detection logic, and a servo motor to activate a CO₂ inflator through a spherical buckle mechanism. Performance evaluation was conducted to assess IMU accuracy and airbag inflation response. The IMU demonstrated an average orientation error below 2% for yaw, pitch, and roll compared to an inclinometer reference. Inflation tests showed a servo current peak of 1200–2000 mA, with the airbag reaching peak pressure within 1.2–2.5 seconds after triggering, achieving pressure levels between 85 and 120 psi. The proposed servo-based triggering mechanism provides sufficient responsiveness and reliability for wearable fall protection applications.
Modelling Plantar Pressure in a Smart Wearable Insole System Using Piezoresistive Sensors Sekhah Ulyana; Husneni Mukhtar; Willy Anugrah Cahyadi; Nigel Bryan Tang
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 4 (2026): August 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i4.7044

Abstract

Biomechanical analysis plays a crucial role in evaluating movement patterns and pressure distribution. It enables early detection of abnormal gait and posture that may lead to long-term musculoskeletal problems. By identifying pressure imbalances, biomechanical assessment supports injury prevention, rehabilitation monitoring, and personalised orthotic design. However, conventional tools are often bulky and expensive, limiting accessibility. This study introduces an insole system that integrates piezoresistive sensors with Radial Basis Function (RBF) interpolation to provide cost-effective, real-time visualisation of plantar pressure. Tests involving five subjects, conducted during standing, stair climbing, and walking, revealed distinct load patterns with a strong correlation to reference data (R² = 0.925). The static standing test demonstrated balanced pressure and an average MAPE of 24.9%, while the walking cycle exhibited consistent heel-to-toe transitions and proper weight transfer. Operating at a 10 Hz sampling rate, the wearable insole accurately quantified plantar pressure variations, demonstrating its potential for real-time gait assessment and rehabilitation monitoring.
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.
Design of a Real-Time User Feedback for Mitigating Spurious SpO₂ Readings in Pulse Oximetry for Outpatient Monitoring Husneni Mukhtar; Dien Rahmawati; Suto Setiyadi; Istiqomah; Reza Ahmad Madani
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 1, February 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i1.2371

Abstract

Spurious SpO₂ readings—arising from motion artifacts, environmental interference, or device variability—remain a major limitation in wearable pulse oximetry, potentially triggering false alarms or missing hypoxemia during outpatient monitoring. Conventional devices often lack real-time mechanisms to detect and mitigate such errors, with previous reports indicating measurement biases of 11.2 - 24.5% across different models, underscoring the need for improved accuracy and user guidance. To address this gap, we present the design of an IoT-enabled wearable pulse oximeter with real-time user feedback, delivered through a mobile application. The system integrates a pulse oximetry and heart rate sensor (MAX30100) with a carbon monoxide gas sensor (MQ-7) and provides targeted notifications to guide corrective actions such as repositioning the probe, removing nail polish, or moving to fresh air. Validation involved controlled scenario testing (undetected SpO₂, CO >40 ppm, nail polish, and loose contact) and user trials with 15 healthy volunteers from varied academic backgrounds. The prototype demonstrated high accuracy, with low relative errors—0.92% (HR), 0.93% (SpO₂), and 0.015% (CO)—and strong usability, achieving 93.3% compliance with corrective prompts, an average response time of 4.0±0.7 seconds, and a satisfaction score of 4.3/5. Compared with commercial oximeters, the proposed system improved reliability by reducing measurement errors by at least 87% through real-time corrective feedback. Future work will focus on energy-efficient power management and large-scale community-based trials to further validate performance across diverse patient populations.
Design and Implementation of an Organic and Inorganic Waste Detection System Using Capacitive, Inductive, and LDR Sensors with Rule-Based Classification Diyah Widiyasari; Husneni Mukhtar; Willy Anugrah Cahyadi; Adhi Dharma Surya Wijaya
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 4 (2025): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i4.133

Abstract

The continuous increase in daily waste accumulation has become a major issue in many areas, primarily due to the mixing of various waste types and the lack of effective household waste management. This complicates waste processing and contributes to environmental degradation. This study aims to design and implement a practical tool for detecting organic and inorganic waste types, specifically for use by household waste collection personnel. The developed system utilizes three sensors, capacitive, inductive, and light-dependent resistors (LDR), to acquire characteristic data from different types of waste. The device is designed in the shape of a pistol to enhance mobility and ease of use by waste collection officers. For the waste-type classification system, several machine learning methods were employed, namely Adaptive Boosting (AdaBoost), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN). Based on the experimental results, AdaBoost was selected as the primary model for the waste classification system because of its superior performance in terms of cross-validation accuracy and the balance of evaluation metrics, such as precision, recall, and F1-score. Consequently, AdaBoost predictions were adopted to establish a rule-based classification logic by extracting threshold values from the most influential sensor features. This study utilized AdaBoost analysis as the foundation for rule formulation, ensuring that classification decisions were based on reliable and tested data patterns. Based on testing with several samples, the device can classify organic and inorganic waste types with an accuracy rate of 91.67%. Additionally, the tool can estimate the composition of mixed waste with an error rate of 5.06%. The presence of this device has been proven to accelerate and simplify the waste-sorting process, thereby increasing the efficiency of household waste management.
Design and Evaluation of a Pre-Impact Fall Detection System with Wearable Airbag Vest for Elderly Injury Mitigation Willy Anugrah Cahyadi; Husneni Mukhtar; Suto Setiyadi; Dita Puspitasari; Nigel Bryan Tang; Mohamad Ramdhani
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 8 No. 3 (2026): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v8i3.344

Abstract

The increase in the elderly population in Indonesia raises concerns about fall accidents. Many mitigation strategies are available to reduce fall accidents among the elderly. Two main strategies have been widely explored, i.e., fall detection and impact reduction. Despite its disadvantages, fall detection devices remain useful and important for future research. In addition, it is also urgent to address the impact reduction method by providing cushioning to minimize the physical impact on the subject of the fall. This study proposes a wearable safety vest equipped with a pre-impact fall-detection system and an automatically inflating airbag to protect the wearer during a fall. The main contributions of this study are the design and implementation of a lightweight wearable airbag vest for elderly protection, the development of a machine-learning-based pre-impact fall detection, and a quantitative evaluation of impact reduction using accelerometer-based measurements. The proposed safety vest with airbag has been trained, validated, and tested, with the subject achieving fall detection accuracy beyond 90% and the airbag deployment delay of less than 1 second after detection. The experiment results also show that the use of the airbag could reduce the impact shock down to 40-50% based on the accelerometer measurements.
Co-Authors Abdi JakaSumarimby Achmad Rizal Adhi Dharma Surya Wijaya Agung Ihwan Nurdin Ahmad Akbar Khatami Ahmad Alfi Adz Dzikri Alief Fikri Sukarno, Muhammad Andi Majesta, I Made Arib Bady Hakim Tanjung Arik Geraldy Fauzi, Muhammad Asep Harja Asep Mulyana Aziz, Burhanuddin Azzahra Nadya Kahpiasa Bambang Setia Nugroho Basuki Rahmat Bena Bimantara, Wayan Abin Dandi Trianta Barus Desri Kristina Silalahi Dien Rahmawati Diena Yudiarti Dita Puspitasari Diyah Widiyasari Doan Perdana Eka Afrima Sari Erwin Susanto Faisal Budiman Faris Fadhlur Rachman Fathonah, Indra Wahyudin Fenty Alia Fikri Ardian GERALDI, ARIK Ghibran Herlangga Zahra Rievansa Hafidh Al Asad Heni Pujiastuti Heru Syah Putra Hesty Susanti Ig Prasetya Wibawa Ikhsan, Akhmad Fauzi Istiqomah istiqomah istiqomah Kahpiasa, Azzahra Nadya Kusna Susanto Kusnahadi Susanto Ledya Novamizanti Lovindo Nulova Makrus, Amar Chairil Mas Rizky A.A. Syamsunarno Maudina Citra Febriani Ma’arif, Farham Rezqi Mochamad Yudha Febrianta Mohamad Ramdhani Muhammad Fasha Aqillah Muhammad Hablul Barri Muhammad Mugni Zaelani Muhammad Rafy Nasrullah Muhammad Rayhan Ghifari Nadia Husnul Nicola Akmal Afrinaldi Nigel Bryan Tang Nigel Bryan Tang Nurdin, Agung Ihwan Parman Sukarno Prameswari Diahasna Tsany - Prastha Giriwara, I Made Pratama, Putu Yoga Ady Razzak, Taufiq Abdul Reza Ahmad Madani Salam, Zulfikar Sekhah Ulyana Sheizi Prista Sari Sifa Nurpadillah Sigit Indriyanto Sindiarti, Ardila Siregar, Christian Halomoan SUDIYONO, OOY ARIE Sukmajaya, Jammy Suryo Adhi Wibowo Suto Setiyadi Suyoso, Qozein Arif Teuku Zulkarnain Muttaqien Wahmisari Priharti Wahyu Gunawan Willy Anugrah Cahyadi Wiyadhi, Muhammad Danung Putra Yakobus Yulyanto Kevin Yanti Rubiyanti Yoga Pujiraharjo Yogi Febrian Nursyamsa Yulius Anggoro Pamungkas