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ELECTRONIC PORTABLE ARTICULATION MIRROR (EPAM): MEDIA UNTUK MENINGKATKAN BAHASA MIMIK ANAK TUNARUNGU Bunyanuddin, Erbi; Nugroho, Doni Bowo; Prathamie, Rahayu Rizky; Junianto, Rizki; Nur Huda, Muhammad
Program Kreativitas Mahasiswa - Teknologi PKM-T 2014
Publisher : Ditlitabmas, Ditjen DIKTI, Kemdikbud RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (647.193 KB)

Abstract

Communication is a fundamental human need to interact with each other. For children with special needs, particularly children with hearing impairment, communication becomes very important because they must to learn to communicate harder than a normal child. In SLB Karnna Manohara articulation mirror used as a device to train children with hearing impairment in communication, especially in terms of language expression. But the device is less effective because the size is large and not portable. The purpose of this program is implementation Electronic Portable Articulation Mirror (EPAM) which is a modification of a large mirror articulation into a portable, practical and more effective. Implementation of this program is done through several steps, they are observation, device improvements, feasibility test (calibration), evaluation and revision, application of device, and evaluation. The results of this program are EPAM design that consists of a mirror, an LCD display, a control menu, sound indicator light, power indicator light, power button, display baterray checker, 3.5 mm audio port, audio port 7 mm, charger port, speakers, headsets, and microphone. Then for the implementation of EPAM in speech therapy business unit of SLB Karnna Manohara has succeeded in increasing the expression of language ability of deaf children to gain (g) 0.72 and increased capacity with high criteria.Keywords : articulation portable electronic mirror, children with hearing impairment, language expression
OPTIMALISASI PRODUKSI IKAN LELE ASAP DENGAN OTOMATISASI ATMEGA 8 Arry Darmawan; Doni Bowo Nugroho
SAINSTECH: JURNAL PENELITIAN DAN PENGKAJIAN SAINS DAN TEKNOLOGI Vol 31 No 2 (2021): Sainstech : Jurnal Penelitian dan Pengkajian Sains dan Teknologi
Publisher : Institut Sains dan Teknologi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (784.408 KB) | DOI: 10.37277/stch.v31i2.1157

Abstract

The purpose of this study was to design and determine the ability of the catfish smoking system automatically using the ATMega8 microcontroller and the LM 35 temperature sensor as an optimization of catfish smoking production, as well as to conduct a comparative study of smoked catfish quality and economic analysis with conventional systems. The type of research used is research and development with a 4D model approach (define, design, develop and desiminate) and comparative analysis. Data obtained through observation, testing and documentation. Then analyzed qualitatively and quantitatively. The results obtained from this study are the design of a catfish smoking system automatically using an ATMega8 microcontroller and a temperature sensor as an optimization of catfish smoking production. The workings of the catfish smoking system is to control the rotation and smoking time using an ATMega8 microcontroller. The smoking system is able to produce 2 kilograms of smoked catfish in 120 minutes with a distance of 40 cm with a quality water content of 58.14%, ash content of 5.93%, pH value of 6.56 and TBA value of 0.02. Keyword: catfish, smoking, microcontroller
Analisis Biomekanika Gerak Tubuh Selama Aktivitas Berjalan dan Berlari di Atas Treadmill Wati, Rosita; Endarwati, Intan; Yuniernanda Sitanggang, Fidelina; Lilinantri Nainggolan, Mutiarasari; Doni Bowo Nugroho; Muhammad Wildan Gifari
Journal Sport Science Indonesia Vol 4 No 3 (2025): Journal of Sport Science Indonesia
Publisher : Pendidikan Kepelatihan Olahraga FKIP Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jassi.4.3.189-200

Abstract

Penelitian ini bertujuan untuk menganalisis karakteristik kinematika linier tumit selama aktivitas berjalan, berlari, dan berlari cepat sebagai dasar untuk mengevaluasi biomekanika gerak manusia. Metode yang digunakan meliputi perekaman gerak menggunakan kamera dan analisis kecepatan vertikal tumit melalui perangkat lunak analisis gerak berbasis video. Data dikumpulkan dari grafik kecepatan-waktu vertikal dan pengukuran parameter gaya berjalan seperti panjang langkah, durasi fase berdiri dan berayun, frekuensi langkah, dan waktu siklus gaya berjalan. Hasil penelitian menunjukkan bahwa kecepatan vertikal tumit menunjukkan fluktuasi yang khas pada setiap jenis gerakan, dengan amplitudo dan durasi fase yang berubah seiring dengan peningkatan kecepatan gerak. Selama berlari cepat, kecepatan puncak yang sangat tinggi terjadi pada langkah awal, diikuti oleh pola fluktuasi yang lebih teratur. Temuan ini menunjukkan penyesuaian biomekanika yang kompleks untuk menjaga keseimbangan dan efisiensi gerak. Penelitian ini menyimpulkan bahwa analisis kecepatan vertikal tumit dapat berfungsi sebagai indikator yang berharga dalam memahami pola gerak dan mengidentifikasi potensi ketidakseimbangan atau gangguan gaya berjalan. Disarankan agar metode analisis gerak berbasis video diterapkan lebih luas dalam rehabilitasi, pelatihan atletik, dan pengembangan alat bantu mobilitas manusia.
FEW-SHOT LEARNING FOR AML CELL CLASSIFICATION USING PROTOTYPICAL NETWORKS Dirgayussa, I Gde Eka; Herman, Kevin Elfancyus; Nugroho, Doni Bowo; Sekar Asri Tresnaningtyas; Meita Mahardianti; Nurul Maulidiyah; Rafli Filano; Rudi Setiawan; Muhammad Artha Jabatsudewa Maras; Yohanssen Pratama
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 11 No. 2 (2025): Volume 11 Nomor 2 Tahun 2025
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v11i2.4650

Abstract

Accurate blood cell classification is crucial for diagnosing Acute Myeloid Leukemia (AML) but limited medical data poses challenges for traditional machine learning models. This study presents a Few-Shot Learning (FSL) framework utilizing a Prototypical Network architecture with a ResNet-34 backbone to classify AML blood cell types from microscopic images. In this study, we utilize datasets consisting of 15 morphologically distinct cell classes. A 15-way, 5-shot, 5-query episodic setup was adopted to simulate data-scarce conditions. Evaluation via 5-fold cross-validation yielded strong performance, with an average accuracy of 97.76%, precision of 98.78%, recall of 96.55%, and F1-score of 97.76%. FSL training times were consistent (4.22–4.26 minutes per fold), and t-SNE along with confusion matrices confirmed the model’s ability to distinguish similar cell types. To validate the approach, its performance was compared with a conventional supervised CNN using the same ResNet-34 backbone. The FSL model outperformed the CNN across all metrics such as accuracy (98.32% vs. 77.25%), precision (98.55% vs. 76.87%), recall (98.31% vs. 78.66%), and F1-score (98.33% vs. 75.26%), while also requiring far less training time (~4.24 min/fold vs. ~420 min total). These results highlight the promise of FSL based methods for accurate, efficient, and scalable hematologic diagnostics in data limited settings.
Simulasi Performa Mekanik Jarum Mikro Berbahan Tembaga Menggunakan Perangkat Lunak ANSYS Maharsi, Retno; Rohmah, Aidah; Widyawasih, Tata; Putra, Damianus Dinata; Milesa, Sabrina; Nugroho, Doni Bowo; Mustaqim, Amrina
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 19 No. 3 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v19n3.2858

Abstract

Microneedles are a minimally invasive transdermal technology that has been widely explored in biomedical applications. Copper (Cu) is a promising material for microneedles due to its favorable mechanical properties and inherent antimicrobial effects. However, numerical studies on the structural performance of copper microneedles remain limited. This study aims to evaluate the mechanical response of solid copper microneedles using finite element analysis (FEA) in ANSYS Workbench. A 3D conical microneedle model with a height of 1000 µm was subjected to external pressures ranging from 400 to 1000 MPa. Four key parameters—total deformation, equivalent stress, maximum principal stress, and structural error—were assessed under two mesh densities (coarse and fine). Simulation results indicate that the fine mesh yields more accurate and stable stress and deformation distributions compared to the coarse mesh. Additionally, the fine mesh better captures peak stress concentrations, which are critical for evaluating microstructural failure. These findings underscore the importance of mesh selection in numerical simulations and provide a foundation for the preliminary design of copper-based microneedles for medical applications.
Morphological Study of Electrospun Polyvinylpyrrolidone Fibers at High Concentration Using Water and Ethanol Solvents Nugroho, Doni Bowo; Kamal, Nada Nadzira Ayasha; Sidabalok, Jenni Bunga Enjelita; Wati, Rosita; Resfita, Nova; Gifari, Muhammad Wildan
Journal of Energy, Material, and Instrumentation Technology Vol 6 No 4 (2025): Journal of Energy, Material, and Instrumentation Technology (In Press)
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

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Abstract

Polyvinylpyrrolidone (PVP) is widely used in biomedical applications, and electrospinning is a common method for fabricating PVP nanofibers. While most studies focus on low to moderate concentrations (5–12 wt%), this work investigates the electrospinning of high-concentration PVP solutions, 50% (m/v), using distilled water and ethanol under applied voltages of 8 and 12 kV. Fiber morphology was characterized by scanning electron microscopy (SEM) and diameter distributions analyzed with ImageJ. Results showed that water-based solutions produced discontinuous fibers with ribbons, beads, and film-like structures, while ethanol-based solutions formed irregular fiber networks at 8 kV but transformed into globular particles at 12 kV due to jet instability. Diameter distribution of water-based fibers was broader (0.31–1.83 µm), whereas ethanol-based fibers exhibited a narrower but larger range (1.29–3.54 µm). These findings indicate that excessive polymer concentration leads to unstable structures, contrasting with continuous fibers reported at lower concentrations. The study highlights the limitations of electrospinning PVP at high concentrations and suggests potential applications in porous films and drug-release systems rather than uniform nanofibers.
Analisis Pengaruh Jarak Elektrode terhadap Kinerja Sensor IDE Berlapis Grafit untuk Mengukur Suhu Doni Bowo Nugroho; Muslimah Dirayati; Dinda Yesi Liswanti Silaban; Rina Oktavia; Osland First Purba
Jurnal Teori dan Aplikasi Fisika Vol. 12 No. 02 (2024): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v12i02.429

Abstract

This study aimed to investigate the effect of the distance between electrodes on the performance of graphite-coated interdigitated electrode (IDE) sensors for temperature changes measurement. IDE sensors have good potentials in various application due to large surface area, low cost, versatility, and customizable geometry. Furthermore, graphite have good thermal conductivity, adequate stability, and easy availability so that the combination of IDE sensor and graphite is very potential to be used as a temperature sensor. This study focused on IDE sensors that were made in two variations, namely one sensor with an electrode distance or spacing of 0.45 mm and the other sensor 1.00 mm. Graphite solution was made with epoxy. Then, it coated on the sensor using a dip coating technique. The sensor response was tested by observing the change in resistance to temperature variations between 30°C and 50°C. The results showed that the resistance of sensor decreased with increasing temperature. This showed the tendency of the sensor to the thermistor type of sensor with a negative temperature coefficient (NTC). The sensor with an electrode distance of 1.00 mm showed higher sensitivity and responsiveness with a temperature coefficient of resistance (TCR) or α of -0.045%/K and a material constant (β) of 8534.66 K. Meanwhile, the sensor with an electrode spacing of 0.45 mm had a TCR of -0.04%/K and a β of 8577.87 K. These results indicated that the distance between electrodes affected the sensitivity and responsiveness of graphite-coated IDE sensors in measuring temperature.   Keywords: graphite, interdigitated electrodes, temperature sensor.
IoT and Renewable Energy Training and Implementation for Smart Village in Karang Anyar Prasetyawan, Purwono; Yunesti, Putty; Miranto, Afit; Nugroho, Doni Bowo; Atmajaya, Gde KM; Ramadhini, Meraty; Kahar Aziz, Muhammad Reza; Satria, Eko
Journal Social Science And Technology For Community Service Vol. 7 No. 1 (2026): Volume 7 Nomor 1 Maret 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v7i1.1662

Abstract

This community service program addressed productivity instability in oyster mushroom cultivation and limited utilization of digital and renewable-energy-based village infrastructure in Karang Anyar Village, South Lampung. The program aimed to strengthen agricultural productivity and support Smart Village development through training and implementation of Internet of Things (IoT) and renewable energy technologies. The activities included participatory needs assessment, installation of an IoT-based automatic misting system in mushroom houses, deployment of solar-powered lighting systems for the village sports field, and training on Content Management System (CMS)-based website management involving mushroom farmers, village administrators, and university students participating in the Community Service Program (KKN). Functional testing showed that the IoT-based misting system achieved 100% operational performance, while training activities involved seven mushroom farmers with more than 50% of participants demonstrating adequate understanding of system operation and digital platform utilization. In addition, the installation of solar-powered lighting improved the accessibility of village sports facilities at night. These results demonstrate that integrating IoT and renewable energy technologies effectively supports Smart Village development and strengthens sustainable community-based innovation in rural areas.
Perancangan Strip Biosensor untuk Deteksi Gula Darah dan Asam Urat Berbasis Elektrokimia Maharsi, Retno; Afifah, Vista Sari; Maizi, Zikra; Gamilang, Ading Atma; Nugroho, Doni Bowo; Mustaqim, Amrina
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): 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.2026.18.1.5

Abstract

Rapid and accurate monitoring of glucose and uric acid levels is essential for the early detection of metabolic disorders such as diabetes mellitus and hyperuricemia. This study aims to develop an electrochemical biosensor strip based on a conductive carbon electrode for the detection of glucose and uric acid using glucose oxidase and uricase enzymes. The strip was designed with a three-electrode configuration on an acrylic substrate, which was selected due to its lower resistance and superior coating stability compared to PVC. The signal detection system employed a transimpedance amplifier circuit using the LM358, integrated with an Arduino Uno. Measurements were performed using artificial blood samples with various glucose concentrations (0–200 mg/dL) and uric acid concentrations (0–12 mg/dL). Calibration results demonstrated a linear relationship between analyte concentration and the output current, with R² values approaching 1. After correction, the glucose strip exhibited 92–100% accuracy and 92–97% precision, while the uric acid strip achieved 76–99% accuracy and 96–97% precision. These findings indicate that the developed biosensor strip provides consistent and reasonably accurate measurements, demonstrating its potential as an economical and portable point-of-care device for monitoring glucose and uric acid.
Fabrication of Quartz Crystal Microbalance Coated with GO/PVC Nanofiber for Benzene Detection as Tuberculosis Biomarker Doni Bowo Nugroho; Nada Nadzira Ayasha Kamal; Rosita Wati; Nova Resfita
Jurnal Elektronika dan Telekomunikasi Vol. 25 No. 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.765

Abstract

Tuberculosis (TB) is a highly contagious illness and a major contributor to global mortality, with over 1.5 million deaths reported annually. TB is caused by Mycobacterium tuberculosis (Mtb), which is often difficult to diagnose in the early stages of infection. Existing diagnostic methods are limited by long processing times, high costs, and suboptimal sensitivity. Therefore, this study aimed to develop a Quartz Crystal Microbalance (QCM)-based biosensor employing polyvinyl chloride (PVC) nanofibers coated with graphene oxide (GO) for rapid detection of volatile TB biomarkers, particularly benzene. The sensing platform utilized a 10 MHz AT-cut silver electrode QCM coated with electrospun PVC nanofibers, followed by GO deposition via immersion. Scanning Electron Microscopy (SEM) showed uniform nanofibers with diameters increasing from 183 ± 54 nm to 348 ± 50 nm after GO coating, while FTIR confirmed the presence of GO functional groups. Sensor evaluation revealed a clear and concentration-dependent frequency shift, with a sensitivity of 1.88 Hz·L/mg, a strong linear correlation (R² = 0.99) across 1.18–23.68 mg/L, and a fast response time of 71 seconds. The limits of detection and quantification were determined to be 0.88 mg/L and 2.66 mg/L, respectively. Adsorption followed the Langmuir isotherm model, indicating monolayer uptake. These results demonstrate that the GO/PVC nanofiber-coated QCM offers a promising, low-cost, and sensitive approach for TB biomarker detection in breath analysis.