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All Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal ULTIMA Computing Nusantara Hasana Journal TIERS Information Technology Journal
Safrian Andromeda
Universitas Singaperbangsa Karawang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Performance Comparison of YOLOv5 and YOLOv8 Architectures in Human Detection using Aerial Images Indri Purwita Sary; Safrian Andromeda; Edmund Ucok Armin
Ultima Computing : Jurnal Sistem Komputer Vol 15 No 1 (2023): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v15i1.3204

Abstract

The development of UAV technology has reached the stage of implementing artificial intelligence, control, and sensing. Cameras as UAV data inputs are employed to ensure flight safety, search for missing persons, and disaster evacuation. Human detection using cameras while flying is the focus of this article. The application of human detection in pedestrian areas using aerial image data is used as the dataset in the deep learning input process. The architectures discussed in this study are YOLOv5 and YOLOv8. The precision, recall, and F1-score values are used as comparisons to evaluate the performance of these architectures. When both architecture performances are applied, YOLOv8 outperforms YOLOv5. The achieved performance of YOLOv8 is a precision of 84.62%, recall of 75.93%, and F1-score of 79.98%.
LEVERAGING CLOUD COMPUTING FOR TELEMEDICINE: ADVANCES IN MEDICAL IMAGE COMPRESSION, SECURITY, AND SAFETY Ni Luh Bella Dwijaksara; Safrian Andromeda; Putri Alief Siswanto; Agrippina Waya Rahmaning Gusti; Bahar Amal; Nurani Masyita
Nusantara Hasana Journal Vol. 3 No. 4 (2023): Nusantara Hasana Journal, September 2023
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v3i4.978

Abstract

Telemedicine has revolutionized healthcare delivery by providing remote medical consultations. This study explores the role of cloud computing in enabling telemedicine, with a particular focus on the utilization of medical image compression techniques and ensuring robust security and safety measures. The integration of cloud computing with telemedicine offers numerous advantages including scalable storage, flexible computing resources, and improved accessibility to medical data and applications. One critical aspect of telemedicine is the transmission and analysis of medical images such as X-rays, CT scans, and MRIs. However, the large size of these images can pose challenges in terms of the transmission speed and storage capacity. To address this, medical image are employed to reduce the size of images without a significant loss of diagnostic information. Security and safety are paramount in telemedicine systems, particularly when dealing with sensitive patient data and medical images. Cloud computing provides a robust infrastructure for ensuring data security and privacy, enabling the secure transmission and storage of medical images. This abstract discusses the implementation of encryption, access-control mechanisms, and authentication protocols to safeguard patient data during transmission and storage in the cloud. By leveraging cloud computing technologies, telemedicine can overcome geographical barriers and enhance healthcare accessibility for patients and healthcare professionals. Exploration of these topics will contribute to improving the efficiency, reliability, and quality of telemedicine services, ultimately leading to better patient outcomes and increased healthcare accessibility in both urban and rural settings.
AI in Dermatology: A Systematic Review on Skin Cancer Detection Safrian Andromeda; Ni Luh Bella Dwijaksara
TIERS Information Technology Journal Vol. 5 No. 1 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i1.5444

Abstract

Skin cancer is the most common type of cancer worldwide and poses a significant public health challenge. Its visible nature often leads individuals to seek medical attention, highlighting the importance of early detection for better patient outcomes. In recent years, Artificial Intelligence (AI) has shown promise in improving the detection and diagnosis of skin cancer, offering the potential to enhance clinical outcomes. A systematic review was conducted, involving a comprehensive literature search to identify studies focused on AI techniques in detecting, diagnosing, or treating skin cancer. Strict inclusion and exclusion criteria were applied to assess the eligibility of scientific articles, resulting in the selection of nine relevant studies. These studies were analyzed to address predefined research questions about the effectiveness of AI in diagnosing skin cancer. The review found that AI-assisted clinicians achieved higher sensitivity and specificity in diagnosing skin cancer than those without assistance. Various AI algorithms demonstrated high sensitivity in detecting skin cancers, highlighting their potential to support primary care clinicians in evaluating suspicious lesions. The analysis also highlighted the effectiveness of smartphone applications designed for skin cancer risk assessment, which could facilitate self-examinations and enhance early detection rates. Despite these promising findings, the field of AI in skin cancer diagnosis is still in its early stages. Challenges remain, including developing robust algorithms, addressing data quality issues, and improving the interpretability of AI-generated results. Collaboration between AI developers and healthcare professionals is crucial to ensure these tools' clinical effectiveness and safety. The review emphasizes the need for continued validation of AI technologies and their integration into clinical practice to improve patient outcomes and alleviate the burden on healthcare systems.
Pelatihan efektif penggunaan google drive dan google formulir untuk peningkatan pelayanan administrasi di Desa Sungaibuntu Kecamatan Pedes Kabupaten Karawang Lela Nurpulaela; Reni Rahmadewi; Dian Budhi Santoso; Arnisa Stefanie; Marno Marno; Safrian Andromeda; Insani Abdi Bangsa; Fitria Nurul Husna; Rifki Fajar Nugraha
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 4 (2024): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i4.27533

Abstract

AbstrakTim Pengabdian Kepada Masyarakat (PKM) Universitas Singaperbangsa Karawang telah mengadakan pelatihan penggunaan Google Drive dan  Google Formulir kepada staff kantor Desa Sungaibuntu Kecamatan Pedes Kabupaten Karawang, agar dapat memberikan layanan yang lebih mudah dan aman untuk masyarakat. Pelatihan ini diadakan karena sistem penyimpanan data desa masih bergantung pada media lokal seperti flashdisk dan hardisk, yang rentan terhadap kehilangan data dan serangan virus. Mitra sasaran dalam pelatihan ini adalah staf kantor Desa Sungaibuntu, dengan jumlah peserta sebanyak 20 orang yang terlibat aktif selama kegiatan berlangsung. Tim PKM memberikan pelatihan Google Form untuk membantu staff kantor desa mengelola layanan masyarakat di bagian administrasi dengan membuat formulir online yang praktis untuk pendaftaran dan pengumpulan data. Selain itu, pelatihan Google Drive ditujukan untuk memanfaatkan penyimpanan dan cadangan data desa secara cloud, sehingga data dapat diakses dengan mudah dan aman kapan saja dan di mana saja. Metode pelatihan menggabungkan penyampaian materi dengan praktik langsung, yang terbukti efektif dalam membantu peserta memahami dan menerapkan Google Form dan Google Drive dalam tugas sehari-hari. Kata kunci: sosialisasi; pelatihan; google drive; google form. AbstractThe Community Service Team (PKM) Singaperbangsa Karawang University conducted training on the use of Google Drive and Google Forms for the staff of the Sungaibuntu Village Office in Pedes District, Karawang Regency, to enable them to provide easier and safer services to the community. This training was initiated because the village's data storage system still relies on local media such as flash drives and hard disks, which are prone to data loss and virus attacks. The target partners for this training were the staff of the Sungaibuntu Village Office, with 20 participants actively involved throughout the program. The PKM team provided Google Forms training to assist village officials in managing community services in the administrative sector by creating practical online forms for registration and data collection. Additionally, the Google Drive training was aimed at utilizing cloud-based storage and backup for village data, allowing data to be accessed easily and securely anytime and anywhere. The training method combined material delivery with hands-on practice, which proved effective in helping participants understand and apply Google Forms and Google Drive in their daily tasks. Keywords: sosialization; training; google drive; google forms.
Pemanfaatan sistem pakan otomatis berbasis IoT pada budidaya ikan lele di Desa Sungaibuntu Karawang Reni Rahmadewi; Insani Abdi Abdi Bangsa; Dian Budhi Budhi Santoso; Safrian Andromeda; Nurani Masyita; Ni Luh Bella Windu Febriayanti Windu Dwijaksara; Agus Sutiyana; Baginda Muhammad Raihan P.R.S
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 4 (2024): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i4.27342

Abstract

Permasalahan budidya ikan lele salah satunya adalah memiliki sifat kanibalisme dalam proses pertumbuhan dan perkembangannya sehingga pemberian pakan dan perawatan pada ikan lele harus diperhatikan agar tidak terjadi gagal panen yang berakibat dapat merugikan para peternak ikan lele. Permasalahan lainnya yang ada pada budidaya ikan lele adalah keterlambatan pemberian pakan akan sangat berakibat fatal hingga kematian pada ikan lele dan kondisi para peternak ikan masih menggunakan metode manual dalam proses pemberian pakannya. Tujuan dari pengabdian masyrakat ini untuk memberikan pemahaman dan pengetahuan kepada para peternak ikan lele di Desa Sungaibuntu Karawang mengenai alat pelontar pakan ikan lele berbasis IoT, sehingga para peternak ikan lele mampu memberikan pakan dengan mudah menggunakan alat ini, dan mengatur penjadwalan sesuai dengan kebutuhan ikan lele agar proses budidaya ikan lele lebih maksimal. Kegiatan pengabdian masyrakat ini dilaksanakan di Kantor Desa dan Kolam Peternak milik salah satu pelaku UMKM ikan lele yang berjumlah 20 peserta, dengan dua kegiatan utama yakni pelaksanaan sosialisasi dan demonstrasi alat pelontar pakan. Hasil kegiatan pengabdian masyrakat yang telah dilaksanakan para peternak ikan lele mampu mengoperasikan beberapa fitur alat pelontar pakan, dan alat pelontar pakan dapat berfungsi sesuai dengan kebutuhan peternak ikan lele yang dilengkapi dengan penjadwalan otomatis melalui smartphone. 
Co-Authors Agrippina Waya Rahmaning Gusti Agus Sutiyana Arnisa Stefanie Baginda Muhammad Raihan P.R.S Bahar Amal Dian Budhi Budhi Santoso Dian Budhi Santoso Edmund Ucok Armin Fitria Nurul Husna Insani Abdi Abdi Bangsa Insani Abdi Bangsa Lela Nurpulaela Marno, Marno Ni Luh Bella Dwijaksara Ni Luh Bella Windu Febriayanti Windu Dwijaksara Nurani Masyita Putri Alief Siswanto Reni Rahmadewi Rifki Fajar Nugraha Sary, Indri Purwita