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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) 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 Jurnal Rekayasa elektrika Serambi Engineering SWAGATI: Journal of Community Service Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Husneni Mukhtar
Universitas Telkom
Religion 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 Nursing Public Health Social Sciences Other

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Integrasi Digital Marketing dan Community-Based Tourism dalam Pengembangan Agrowisata di Desa Warjabakti Kabupaten Bandung Susanti, Hesty; Rahmawati, Dien; Mukhtar, Husneni; Wibowo, Suryo Adhi; Priharti, Wahmisari; Cahyadi, Willy Anugrah; Nugroho, Bambang Setia; Aziz, Burhanuddin; Susanto, Kusnahadi
SWAGATI : Journal of Community Service Vol. 2 No. 2 (2024): July
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/swagati.2024v2i2.1095

Abstract

Warjabakti Village has various agro-tourism potentials that have not been managed properly, namely in the form of a charming natural scenery, natural conditions that are still maintained, and cool air. The problems faced are the need for more exposure to technology, the unavailability of supporting facilities and infrastructure, and the absence of groups capable of coordinating these potentials. This community service aims to develop a community-based tourism system by integrating digital marketing technology to empower target communities. The results achieved from this community service activity are the formation of Pokdarwis, which have been legally approved by the village government and will oversee the management of the tourism village in Warjabakti Village with governance that the team and partners have made. In addition, the e-digital map and the Haruman Tourism Village website have been produced. This website contains village content and branding that displays attractive village information, videos, and animations that have been structured and integrated, as well as a complete and attractive e-digital map of tourist areas.
Geophysical Investigation of Buried Small Fault Beneath Western Mount Malabar Using Electrical Resistivity Tomography in The Great Bandung Basin Rim Susanto, Kusnahadi; Harja, Asep; Ma’arif, Farham Rezqi; Mukhtar, Husneni
Indonesian Journal on Geoscience Vol. 11 No. 3 (2024)
Publisher : Geological Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17014/ijog.11.3.409-421

Abstract

This article presents the discovery of a buried fault beneath the soil layers in the Mt Malabar area, which complements the information on suspected faults on the previous geological maps. Using an Electrical Resistivity Tomography (ERT) method, this study aims to delineate the layer discontinuity as a fault and describe the subsurface geology. This study employed a 1400 m long ERT line as the main line to identify buried fault traces, while each ERT line has an 800 m long installation across the main ERT line to obtain the direction of the minor fault. The investigation found a minor fault in the rock layer at a high resistivity layer, approximately 160 m below the surface. The identified rock units are believed to include sandy clay in the upper layer, followed by tuff, sandstone, and basalt lava in the lower layer because its resistivity value is above 250 Ohm.m. The 3D ERT model interpreted a minor buried fault as a weak zone beneath the soil and obtained the fault strike at approximately N 310°E and dipping 66°. Furthermore, these results are strengthened by the geological map, which confirms that ERT L-1 and ERT L-3 profiles coincide with a suspected fault in the Qmt rock unit area.
Implementasi Mesin Roasting Kopi Untuk Peningkatan Kualitas Produksi Kopi UMKM Darma Coffee Mukhtar, Husneni; Priharti, Wahmisari; Rahmawati, Dien; Susanti, Hesty; Cahyadi, Willy Anugrah; Nugroho, Bambang Setia; Wibowo, Suryo Adhi; Muttaqien, Teuku Zulkarnain; Rizal, Achmad; Susanto, Kusnahadi
SWAGATI : Journal of Community Service Vol. 1 No. 3 (2023): November
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/swagati.2023v1i3.1082

Abstract

UMKM Darma Coffee adalah salah satu UMKM bersifat industri rumah tangga yang ada di Desa Warjabakti, Kecamatan Cimaung, Kabupaten Bandung. Saat ini, masalah yang dihadapi oleh UMKM Darma Coffee ini adalah masih manualnya proses roasting kopi. Pengabdian masyarakat ini berfokus pada penyediaan solusi roasting kopi karena saat ini proses roasting kopi tersebut masih manual. Petani juga diharuskan fokus dengan pekerjaan memutar alat agar kopi tidak gosong, dan temperatur yang presisi juga tidak diketahui sehingga kualitas roasting kopi di bawah standar. Tujuan pengabdian masyarakat ini adalah pengembangan sebuah mesin roasting kopi otomatis dengan timer digital serta dilengkapi pemantauan suhu, kecuali pengaturan sumber pemanasnya. Hal ini sesuai dengan hasil wawancara dengan ketua UMKM Darma Coffee. Hasil yang dicapai adalah tersedianya mesin roasting kopi otomatis serta desain packaging kopi yang lebih menarik. Terjadi peningkatan kecepatan proses roasting menjadi 10-15 menit. Terdapat pula peningkatan soft skill pada para petani kopi di UMKM Darma Coffee.
Design of Deep Learning-Based Pressure Injury Stage Classification Device Priharti, Wahmisari; Mukhtar, Husneni; Prastha Giriwara, I Made; Andi Majesta, I Made; Bena Bimantara, Wayan Abin
Jurnal Rekayasa Elektrika Vol 21, No 2 (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v21i2.41353

Abstract

Pressure injury or pressure ulcers could occur due to continuous pressure on the bony prominence of the skin and tissue. Geriatric patients, especially those with limited mobility and several comorbidities, are more susceptible to pressure injury. Stage classification of pressure injury is currently carried out qualitatively and requires clear communication with the patient. This is often not possible in elderly patients due to lack perception of pain causing late detection of pressure injury until they have reached a severe level and can endanger the patient's life. This study proposes a non-contact device in the form of a camera integrated with a convolutional neural network (CNN) model with MobileNet architecture to classify the level of pressure injury. Testing showed a classification accuracy of 83.3% with an average classification duration of 2.24 s. This aiding device is considered to have great potential to improve faster and more accurate pressure injury assessment in clinical settings.
Perancangan Sub-Sistem Pendistribusian Cairan pada Sistem Pencegah Dekubitus Sindiarti, Ardila; Cahyadi, Willy Anugrah; Mukhtar, Husneni
eProceedings of Engineering Vol. 11 No. 4 (2024): Agustus 2024
Publisher : eProceedings of Engineering

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Abstract

Dekubitus merupakan suatu masalah yang paling sering dijumpai pada pasien tirah baring dalam waktu yang lama seperti pada pasien imobilisasi, stroke, ataupun pasien di ruang ICU (Intensive Care Unit). Dekubitus terjadi karena adanya penekanan dan peningkatan suhu pada bagian tertentu secara terus menerus. Pencegahan luka dekubitus dapat dilakukan dengan penggunaan alas tidur yang lembut dan dapat mengontrol suhu antara tubuh pasien dengan alas tidur. Pada penelitian ini, peneliti merancang suatu alat pencegah dekubitus yang berfokus pada pengaturan suhu antara tubuh pasien dengan alas tidur. Sistem yang dirancang tersusun dari beberapa sub sistem salah satunya yaitu sub sistem pendistribusian cairan pada alas tidur. Pendistribusian dilakukan menggunakan dua jenis pompa yaitu pompa SC300T sebagai pompa utama dan pompa air aquarium submersible 12V sebagai pompa distribusi. Alas tidur dibentuk pola yang terbagi menjadi tiga bagian sesuai dengan titik pendeteksian suhu. Berdasarkan hasil pengujian yang telah dilakukan, sistem pendistribusian cairan pada alas tidur telah terealisasi dan berhasil dalam mendistribusikan cairan pada alas tidur. Kata kunci: Dekubitus, Peningkatan Suhu, Sistem Pendistribusian Cairan
Estimation of Blood Glucose Levels Using a Non- Invasive Infrared-Based Optical Sensor: A Pilot Study Mukhtar, Husneni; Zaelani, Muhammad Mugni; Nasrullah, Muhammad Rafy; Susanti, Hesty
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 and Implementation of an Organic and Inorganic Waste Detection System Using Capacitive, Inductive, and LDR Sensors with Rule-Based Classification Widiyasari, Diyah; Mukhtar, Husneni; Cahyadi, Willy Anugrah; Wijaya, Adhi Dharma Surya
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.
Innovative Multimodal Approaches in Image-Based Analysis of Adipose Tissue Cells Syah Putra, Heru; Mukhtar, Husneni; Alia, Fenty; Adipurna Syamsunarno, Mas Rizky Anggun
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 4 (2024): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i4.30241

Abstract

This study addresses the limitations of traditional single-modality imaging techniques, such as optical microscopy, in effectively analyzing adipose tissue cells. A novel multimodal approach is introduced to overcome these challenges, combining MRI, CT, and microscopy to provide a more comprehensive and precise dataset. The system automates image processing, utilizing advanced segmentation methods to detect adipose cells more accurately while calculating cell dimensions and total image area. The results indicate that the maximum observed cell diameter reaches 10,466.64 µm, with a minimum diameter of 0.40 µm and an average diameter of 2,398.31 µm across the sample images. All measurements achieved 0% mean square error (MSE), highlighting the precision of the method. Comparative analysis reveals significant improvements in accuracy for both cell detection and quantification, outperforming conventional methods. Graphical representations further validate the reliability of this multimodal approach, demonstrating its capacity to capture intricate details of cellular structures. This innovative method holds considerable promise for enhancing medical diagnostics, particularly in metabolic disorders like obesity and diabetes, where adipose tissue plays a pivotal role. Integrating multiple imaging modalities offers a powerful tool for more informed clinical decisions, potentially leading to improved patient outcomes.
Pengembangan Sistem Pengujian Keseimbangan Berdiri Menggunakan Force Platform Dan Wearable IMU Sensor Alief Fikri Sukarno, Muhammad; Mukhtar, Husneni; Rahmawati, Dien
eProceedings of Engineering Vol. 10 No. 6 (2023): Desember 2023
Publisher : eProceedings of Engineering

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Abstract

Manusia adalah mahhluk hidup yang terus bergerak untuk menjalankan aktivitasnya sehari – hari. Kemampuan manusia untuk menjalankan aktivitas juga dipengaruhi salah satunya oleh keseimbangan tubuh. Keseimbangan tubuh didefinisikan sebagai kemampuan seseorang untuk menjaga keadaan seimbang saat sikap tegak tanpa harus mengubah base of support. Keseimbangan tubuh sering dinilai sebagai jumlah postural goyangan (disebut juga body sway) dari tubuh manusia. Perancangan suatu sistem untuk menguji keseimbangan tubuh manusia dengan mengukur nilai body sway, di antaranya menggunakan sensor IMU (Inertial Measurement Unit) dan force platform. Pengukuran body sway dilakukan dengan posisi berdiri tegak dengan beberapa scenario. Sensor IMU digunakan pada bagian tulang kering dan pangkal paha untuk merepresentasikan kaki dan panggul. Sensor load cell memiliki range error sebesar (2,02 – 7,42) % dan range error dari sensor IMU sebesar (0,04 – 3,2) %. Nilai range error yang kecil menunjukkan hasil pengukuran tidak jauh dari massa referensi dan sudut referensi. Pada pengujian keseimbangan tubuh diperoleh hasil pengukuran dari sensor IMU memberikan arah goyangan pada kaki dan panggul dalam bentuk sudut. Hasil dari IMU memvalidasi pengukuran dari force platform, bahwa kaki dan panggul juga mempengaruhi keseimbangan tubuh.Kata kunci : body sway, base of support, force platform
Pemilihan Fitur Statistik serta Implementasi Model Decision Tree Machine Learning Pada Arduino Nano 33 BLE Untuk Pendeteksian dan Klasifikasi Gerak Jatuh dan Kecenderungan Jatuh Lansia Berbasis Nilai Akselerasi Kahpiasa, Azzahra Nadya; Istiqomah, Istiqomah; Mukhtar, Husneni
eProceedings of Engineering Vol. 11 No. 1 (2024): Februari 2024
Publisher : eProceedings of Engineering

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Abstract

Orang yang berusia di atas 60 tahun dianggap sudah lanjut usia. Penurunan fungsi fisiologis terkait usia, termasuk fungsi tulang dan otot, berkontribusi terhadap peningkatan risiko jatuh pada lansia. Salah satu keadaan yang bisa berakibat fatal adalah terjatuh. Kemunduran berbagai proses organ yang terlibat dalam menjaga keseimbangan tubuh dapat dipengaruhi oleh dampak ini, yang mungkin berdampak pada kematian. Orang tua banyak jatuh sekarang, namun keluarga sering tidak menyadari keberadaan mereka. Secara tradisional, tetangga di dekat rumah lansia adalah sumber utama informasi mengenai kondisi mereka. Studi sebelumnya telah menggunakan sifat statistik dan sensor inersia untuk mengenali aktivitas manusia pada orang tua. Dalam studi ini, kami akan mengevaluasi metode ekstraksi fitur dan pembelajaran mesin terbaik. Variabel maximum, minimum, mean, median, kurtosis, skewness, dan variance yang dikumpulkan dari data sensor akselerometer menggunakan sensor IMU akan diperiksa untuk ekstraksi fitur menggunakan metode Fast Fourier Transform. Digunakan Cross-validation untuk mengetahui performa mode Decision Tree. Dengan nilai akurasi 99,8% dan nilai ekstraksi ciri terbaik pada Maksimum accelX, median accelZ, variance accelZ, variance Magnitude, dan maksimum Magnitude.Kata kunci—Elderly, Fall, Machine Learning, Accelero, Micromlgen, Kodular
Co-Authors Abdi JakaSumarimby Achmad Rizal Ahmad Akbar Khatami Ahmad Alfi Adz Dzikri Alia, Fenty Alief Fikri Sukarno, Muhammad Andi Majesta, I Made Arib Bady Hakim Tanjung Arik Geraldy Fauzi, Muhammad Asep Harja Asep Harja, Asep 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 Doan Perdana Eka Afrima Sari Eka Afrima Sari, Eka Afrima 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 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 Muhammad Hablul Barri Muhammad Rayhan Ghifari Nadia Husnul Nasrullah, Muhammad Rafy Nicola Akmal Afrinaldi Nurdin, Agung Ihwan Parman Sukarno Prameswari Diahasna Tsany - Prastha Giriwara, I Made Pratama, Putu Yoga Ady Razzak, Taufiq Abdul Salam, Zulfikar Sheizi Prista Sari Sifa Nurpadillah Sindiarti, Ardila Siregar, Christian Halomoan SUDIYONO, OOY ARIE Sukmajaya, Jammy Suryo Adhi Wibowo Suto Setiyadi Suyoso, Qozein Arif Syah Putra, Heru Teuku Zulkarnain Muttaqien Wahmisari Priharti Wahyu Gunawan Widiyasari, Diyah Wijaya, Adhi Dharma Surya Willy Anugrah Cahyadi Wiyadhi, Muhammad Danung Putra Yakobus Yulyanto Kevin Yanti Rubiyanti Yoga Pujiraharjo Yogi Febrian Nursyamsa Yulius Anggoro Pamungkas Zaelani, Muhammad Mugni