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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal INKOM TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JETT (Jurnal Elektro dan Telekomunikasi Terapan) JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Building of Informatics, Technology and Science Journal of Electronics, Electromedical Engineering, and Medical Informatics IJAIT (International Journal of Applied Information Technology) Journal of Applied Engineering and Technological Science (JAETS) Jurnal Abdi Insani Madani : Indonesian Journal of Civil Society JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Charity : Jurnal Pengabdian Masyarakat JURNAL ILMIAH GLOBAL EDUCATION Prosiding Konferensi Nasional PKM-CSR Jurnal Nasional Teknik Elektro dan Teknologi Informasi eProceedings of Applied Science eProceedings of Engineering Abdibaraya: Jurnal Pengabdian Masyarakat Jurnal Rekayasa elektrika Jurnal INFOTEL Journal of Applied Engineering and Social Science Proceeding of Community Service and Engagement
Sugondo Hadiyoso
Universitas Telkom
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Public Health Social Sciences Other

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Tuberculosis Detection in X-Ray Image Using Deep Learning Approach with VGG-16 Architecture Suci Aulia; Sugondo Hadiyoso
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 8 No. 2 (2022): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i2.23994

Abstract

Tuberculosis (TB) is a chronic disease still the main problem in Indonesia. However, this disease can be cured with drugs at a particular time after the patient is detected as having TB. TB diagnosis or screening can be made through x-ray imaging of the chest cavity by a radiology specialist. The Mantoux test can then be used to confirm the diagnosis.  X-ray images often have varying contrasts that lead to true negatives or false negatives. Whereas generally, a chest x-ray is the initial examination of TB. Error detection will have a fatal impact on treatment therapy. Therefore, this study proposed a system for TB detection based on x-ray images using deep learning. The system developed uses a Convolutional Neural Network (CNN) with the VGG-16 architecture. In the performance test stage, 700 normal and 140 TB chest x-ray images were used. The simulation results show that the proposed system can classify normal and TB lungs with an accuracy of 99.76%. The highest accuracy is achieved using batch size=50. This system is expected to assist radiology in detecting tuberculosis on X-Ray images of the lungs. The contribution of this study is to build a machine learning model for TB detection and optimization of model parameters to get the best accuracy.
Analyzing the impact of sports activity intensity on muscle capacity through integrated biosensor technology Ervin Masita Dewi; Nurista Wahyu Kirana; Sugondo Hadiyoso
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 2: April 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i2.26264

Abstract

In the past few years, biosensor technology has paved the way for new insights into the physiological effects of physical exercise. Quantitative analysis, especially in the case of muscle capacity measurement, is the focus of studies to assess the impact of sports activities. Therefore, this study examines the impact of sports activity intensity on muscle capacity using an integrated biosensor system developed at Bandung State Polytechnic. Surface electromyography (sEMG) measurements were conducted on 30 participants aged 20–25 during various sports activities. Results showed a strong positive correlation (r=0.814) between sports activity frequency and muscle contraction, suggesting higher activity correlates with increased muscle activity. Conversely, the correlation during muscle relaxation was low (r=0.261), indicating independence from sports activity. In the future, it is expected that integrated biosensors will have the ability to concurrently measure and monitor various parameters like heart rate (via electrocardiogram), blood oxygen levels (via photoplethysmography), and blood pressure. The integrated biosensor system allows for comprehensive assessment and optimization of sports performance and injury prevention strategies.
Real-Time Hand Gesture-Based Virtual Mouse System Using ESP32-CAM and OpenCV Muhammad Farhan Alghifari Chaniago Saputro; Sugondo Hadiyoso; Indrarini Dyah Irawati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 1 (2026): February 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i1.6609

Abstract

This research develops a virtual mouse control system that uses real-time hand gesture recognition implemented on an ESP32-CAM–based Internet of Things (IoT) platform. By leveraging OpenCV for image processing, the system translates hand gestures into corresponding mouse actions, including cursor movement, clicking, and scrolling. The study evaluates system performance under different lighting conditions and Wi-Fi speeds. Results show that higher Wi-Fi speeds significantly reduce latency, enabling smoother real time gesture recognition and high definition video output, while lower speeds lead to noticeable delays and reduced accuracy. The system successfully enables remote cursor control through camera captured hand gestures, supporting functions such as left click, right click, scrolling, and dragging. In latency tests performed with an internet speed of approximately 60 Mbps, the system achieved an average delay of about 50 milliseconds. Under optimal lighting conditions with minimal background interference, it accurately tracked hand movements and recognized gestures such as pointing, clicking, dragging, and scrolling in real time, achieving an accuracy rate of 95%. Despite its lower resolution compared to conventional webcams, the ESP32-CAM proves to be an effective solution for virtual mouse control, particularly in scenarios where high-resolution imaging is unnecessary. Its IoT capabilities support remote operation, allowing users to control the virtual mouse from a distance as long as both the ESP32-CAM and the computer remain connected. Overall, the findings highlight the ESP32-CAM based IoT platform as a viable alternative for gesture based interaction in real applications, although further enhancements are needed to improve performance in challenging environments.
Implementation of Digitalization and Technology-Driven Waste Management Education Suryatiningsih -; Sari Dewi Budiwati; Inne Gartina Husein; Sugondo Hadiyoso; Vany Octaviany
Charity : Jurnal Pengabdian Masyarakat Vol. 9 No. 1 (2026): Charity-Jurnal Pengabdian Masyarakat
Publisher : PPM Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/charity.v9i1.10596

Abstract

Waste management remains a major challenge in Lengkong Village, Bandung Regency, due to the limited capacity of existing waste processing facilities and low community participation in source level waste reduction. The current TPS 3R is unable to accommodate waste generated by 13 neighborhood units, resulting in uncontrolled accumulation that poses environmental and public health risks, while community-based waste management practices based on the 3R principles have not been optimally implemented. As an initial effort, the Mekar Arum Mewangi Waste Bank Unit (BSU MAMMA), established in February 2024, has encouraged household level waste sorting among residents of RW 11; however, its impact remains limited. Therefore, this community service program focuses on education on segregated waste management and deposit procedures, training in the development of waste management educational content, and the development of a digital application to support waste bank operations, aiming to improve data management, transaction recording, and reporting. The initiative is implemented in collaboration with the Coimbatore Institute of Technology, which contributes expertise in decentralized and technology-based waste management, and targets BSU MAMMA members and residents of RW 11 with potential expansion to other areas. Through this approach, the program is expected to foster a more participatory, effective, and sustainable waste management system, ultimately enhancing environmental quality and public health in Lengkong Village. Keywords : waste, sorting, waste management, application
Pelatihan Pemanfaatan Generative AI untuk Siswa dan Guru Dalam Pembelajaran di SMK Telkom Sugondo Hadiyoso; Robbi Hendriyanto; Heru Nugroho; Muhamad Yusuf Ramadhan; Riska Aprilina; Donni Junipriansa; Vany Octavianny
Charity : Jurnal Pengabdian Masyarakat Vol. 9 No. 3 (2026): Charity-Jurnal Pengabdian Masyarakat
Publisher : PPM Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/charity.v9i3.11675

Abstract

Perkembangan pesat Artificial Intelligence (AI) menuntut adaptasi cepat di dunia pendidikan, namun guru dan siswa SMK Telkom di seluruh Indonesia masih menghadapi kendala dalam mengintegrasikan teknologi ini secara efektif. Menyikapi hal tersebut, Universitas Telkom melaksanakan program Pengabdian kepada Masyarakat (Abdimas) berupa pelatihan pemanfaatan generative AI untuk mendukung penyusunan materi ajar dan memperkaya pengalaman belajar. Program ini dijalankan melalui tiga tahapan utama, meliputi analisis kebutuhan, penyusunan modul AI, serta pelaksanaan pelatihan daring yang interaktif. Materi pokok yang disampaikan pada pelatihan meliputi: (1) Pemanfaatan NotebookLM dan Gemini untuk Mendukung Pembelajaran Siswa dan Guru, dan (2) Peran Teknologi AI dalam Inovasi Branding. Materi pertama mencakup penggunaan dan perbandingan NotebookLM dan Gemini dalam pembuatan konten pembelajaran, bagaimana merumuskan prompt yang baik serta memahami etika penggunaan AI. Untuk materi kedua difokuskan pada pembuatan media promosi menggunakan AI. Selain menghasilkan luaran berupa modul, publikasi jurnal, dan video dokumentasi, program ini diharapkan mampu menciptakan ekosistem pembelajaran yang adaptif, memperkuat sinergi antarinstitusi, serta berkontribusi nyata pada transformasi digital pendidikan di Indonesia.
Co-Authors A. V. Senthil Kumar A.A. Ketut Agung Cahyawan W Aaron Abel Abi Hakim Amanullah Achmad Rizal Achmad Rizal ADIANGGIALI, ANYELIA Adisaputra, Rangga Adiwijaya, Agustinus Aldian Adjie Gery Ramadhan Adnan Azhary Agung Muliawan Ahmad Hilmi Ahmad Muammar Agusti Alfaruq, Akhmad Aliffansyah, Lingga Alvinas Deva Sih Illahi Ana Durrotul Isma Anatasya Bella Andhita Nurul Khasanah Andri Juli Setiawan Andro Harjanto Anggit Syorgaffi Anggun Fitrian Isnawati ANGGUNMEKA LUHUR PRASASTI ANNISA HUMAIRANI Arfianto Fahmi Arif Indra Irawan ARIS HARTAMAN Ashshiddiqqi, Muhammad Arhizal Asma Zahira Asril Ibrahim Astri Wulandari Audry Stevany Aulia Ayu Dyah Lestari Ayu Chellsya, Ananda Ayu Tuty Utami Azahra, Yasmin Azriel Gilbert Samuel Rogito Azzahra, Salwa Bagus Tri Astadi Balova , Fathrurrizqa Bambang Hidayat Bandiyah Sri Aprillia Barus, Exal Deo Jayata Bayu Erviga Yulanda Setiawan Bayuaji Kurniadhani Bimo Rian Tri Nugroho Budhi Irawan Budi Prasetya Budi Prasetya Budiyawan Naztin Burhanuddin D. Burhanuddin Dirgantoro Cucu Fitri Dadan Nur Ramadan Dadan Nur Ramadhan Dadan Nur Ramadhan Denny Darlis Dewi Rahmaniar, Thalita Dharu Arseno Didin Bramastya Dieny Rofiatul Mardiyah Diliana, Faizza Haya Dodi Budiman Margana Donni Junipriansa Efri Suhartono Ema ERVIN MASITA DEWI Ervin Masita Dewi Exal Deo Jayata Barus Ezi Rohmat Fadiaga Omar Michlas Fairuz Azmi FAJRI, SETIO EKA Fardan Farrel Fahrozi Fathrurrizqa Balova FATURRAHMAN, RAIHAN Fauzia Anis Sekar Ningrum Fony Ferliana Widianingrum Gadama, Melsan Gelar Budiman Ghilman Hafizhan Gifari, Rizqi Al Goldfried Manuel Lbn Tobing Habib, Arrijal Hadjwan, Razel Hannissa Sanggarini Hasanah Putri Hengky Yudha Bintara Heru Nugroho Hilman Fauzi, Hilman Hurianti Vidyaningtyas HW, EVA AISAH Ilham Edwian Berliandhy Indrarini Dyah Irawati Inne Gartina Husein Inung Wijayanto Irsyad Abdul Basit Istikmal Ivany Sesa Rehadi Ivosierra Andrea Larasaty Jannah, Firna Noor Jannah, Sabila Hayyinun Jasmine, Diva Dhila Jauhari, Muhammad I Javani Sekar Larasati Jehan Pratama Herdaning Jondri Koredianto Usman Kridanto Surendro Kris Sujatmoko Kurnia Ismanto, Rima Ananda Larasaty, Ivosierra Andrea Lata Tripathi, Suman LATIP, ROHAYA Ledya Novamizanti Lurina, Manda Luthfi Muhammad Pahlevi Lutvi Murdiansyah Murdiansyah M. Bahrul Ilmi M. Nur Imam DJ Mahmud Dwi Sulistiyo Manda Lurina Mas Aly Afandi Meidatomo , Muhammad Haykal Milan Adila Amalia Mohamad Ramdhani Muh. Kurniawan, A. Muhamad Yusuf Ramadhan Muhammad Adnan Muhammad Afif Ridwansyah Muhammad Alfachri Akbar Muhammad Arhizal Ashshiddiqqi Muhammad Farhan Alghifari Chaniago Saputro Muhammad Farhan Alghifari Chaniago Saputro Muhammad Iqbal MUHAMMAD JULIAN, MUHAMMAD Nadya Silva Arline Nasution, Muhammad Ilham Kurniawan Nasution, Seri Wahyuni Naufal Juhaidi Jafal Naufal Rizky Pratama Nur Arviah Sofyan Nur Pratama, Yohanes Juan Nur Ramadhani Nurista Wahyu Kirana Nursanto Nursanto NURSANTO NURSANTO, NURSANTO Nurwan Reza Fachrurrozi Okki Rahmalisty, Fiona Pahira, Ela Diranda Patricia Lovenia Garcia Periyadi Permana, Andri Satia Prahara, Dzakwan Bahar Prajna Deshanta Ibnugraha Putra, I Gusti Ngurah R. A. Putri Fatoni, Salwa Berliana Putri, Athaliqa Ananda Putri, Silvi Dahlia R. Dhenake Aghni Bunga R. Yunendah Nur Fu’adah Radial Anwar, Radial Radian Sigit Raditiana Patmasari Rahmaniar, Thalita Dewi Rahmat Widadi Ramdani, Ahmad Zaky Ratna Mayasari Reivind P. Persada RENALDI, LUKY RENALDI, LUKY RENDIKA, ANANDA Rendy Munadi Reni Dyah Wahyuningrum Reny Yuliani Arnis Ridha Muldina Negara Rina Pudji Astuti Riska Aprilina Rita Magdalena Rita Purnamasari Rizal Fachrudin Maulana Rizky Aulia Rahman Robbi Hendriyanto Robinzon Pakpahan Rogito, Azriel Gilbert Samuel ROHMAT TULLOH Roihan, Muhamad Rosmiati, Mia Ruli Pandapotan, Bagas Ryan Bagus Wicaksono Safitri, Ayu Sekar Said, Ziani Sania Marcellina Bryan Sari Dewi Budiwati Sasmi Hidayatul Yulianing Tyas Sa’idah, Sofia Sekar Safitri, Ayu Septiansyah, Rizky SETIAWAN, AWAN WAHYU Sianturi, Kristian Fery Sidqi, Anka Sigit, Radian Siti Sarah Maidin Siti Zahrotul Fajriyah Sofia Naning Hertiana Suci Aulia Sugeng Santoso Sulistyo, Tobias Mikha Surya Putra Agung Saragih Suryatiningsih Suyatno Budiharjo Syifa Nurgaida Yutia Tasya Chairunnisa Tati Latifah Erawati Rajab Teguh Musaharpa Gunawan Thomhert Suprapto Siadari Tita Haryanti Tobing, Goldfried Manuel Lbn Tri Nopiani Damayanti Triadi Triadi Unang Sunarya Untari Novia Wisesty Vanesha Putri Anggita Vany Octavianny Vany Octaviany Vera Suryani Wahyu Hauzan Rafi Wibowo, Raiyan Adi Wirakusuma, Muhammad P. Yana Sudarsa Yasmin Azahra Yoza Radyaputra Yudha Purwanto Yudiansyah Yudiansyah YULI SUN HARIYANI YUYUN SITI ROHMAH Zahrah, Nasywa Nur Zhillan Al Rashif, Mohammad Zulfikar F.M. Ramli