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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JMM (Jurnal Masyarakat Mandiri) TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Journal Serambi Engineering (JSE) Journal of Engineering and Technological Sciences Proceeding of Community Service and Engagement
Fenty Alia
Universitas Telkom
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Other

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PERANCANGAN DAN PENGEMBANGAN PENDETEKSI PENYAKIT MELANOMA MENGGUNAKAN METODE GREY LEVEL CO-OCCURANCE MATRIX (GLCM) DAN METODE KLASIFIKASI CONVOLUTIONAL NEURAL NETWORK (CNN) Sang Ayu Ketut Devi Saraswati; Wahmisari Priharti; Fenty Alia
TEKTRIKA Vol 6 No 2 (2021): TEKTRIKA Vol.6 No.2 2021
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v6i2.4637

Abstract

Melanoma merupakan salah satu jenis penyakit kulit berupa tumor ganas yang berkembang pada sel melanosit penghasil melanin. Penyakit ini merupakan penyakit langka, namun memiliki risiko kematian yang tinggi jika tidak segera ditangani. Salah satu cara yang dapat membantu penanganan melanoma adalah diagnosis secara dini terhadap penyakit tersebut. Pada penelitian ini dirancang sebuah pendeteksi penyakit melanoma menggunakan Raspberry pi dan pi camera dengan mengimplementasikan metode ekstraksi fitur Grey Level Co-Occurance Matrix (GLCM) dan metode klasifikasi Convolutional Neural Network (CNN). Citra input akan diolah melalui proses preprocessing berupa proses grayscale, image adjustment, dan cropping. Citra hasil pre-processing akan diekstraksi menggunakan metode GLCM berdasarkan parameter contrast, correlation, entropy, dan uniformity. Tahap terakhir, citra akan diklasifikasikan apakah merupakan penyakit melanoma atau non-melanoma menggunakan metode CNN. Pengujian dilakukan menggunakan dataset yang berjumlah 416 data citra nevus dan melanoma serta citra validasi yang berjumlah 16 sampel citra nevus. Dari hasil pengujian didapatkan hasil akurasi sebesar 85% dengan F1-score sebesar 89% sehingga hasil penelitian ini dapat digunakan sebagai salah satu alat bantu untuk proses screening kasus penyakit melanoma. Kata Kunci: Convolutional Neural Network (CNN), Grey Level Co-Occurance Matrix (GLCM), Melanoma, Deep Learning, Image Processing.
AKSI CEGAH STUNTING MELALUI APLIKASI SAGITA: STATUS GIZI BALITA Muhammad Hablul Barri; Fenty Alia; Ledya Novamizanti; Rita Purnamasari; Fityanul Akhyar; Tora Fahrudin; Putu Harry Gunawan; Satria Mandala
JMM (Jurnal Masyarakat Mandiri) Vol 7, No 2 (2023): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v7i2.13231

Abstract

Abstrak: Stunting merupakan salah satu masalah kesehatan masyarakat yang penting di Indonesia, terutama di Desa Lengkong, Jawa Barat. Beberapa penyebab utama yaitu kesulitan dalam pencatatan dan monitoring status gizi balita saat pelakasanaan posyandu. Pencatatan yang masih secara manual membuat beberapa data yang tersimpan sulit untuk dicari dan rentan akan adanya kesalahan pada saat penginputan. Tujuan dari pengabdian ini adalah ingin merealisasikan suatu aplikasi yang dapat memudahkan kader posyandu dalam memonitoring status gizi balita secara terpusat. Sehingga diharapkan mitra dapat dengan praktis memasukkan data, mereview akumulasi data serta membuat analisis data tersebut secara cepat dan akurat. Aplikasi ini kemudian akan disosialisasikan dalam sebuah penyluhan gizi balita. Data dari aplikasi ini nantinya dapat digunakan oleh semua pihak yang berkepentingan secara realtime. Kegiatan ini didawali dengan survei permasalahn ke lapangan kemudian dilanjutkan dengan pembuatan aplikasi lalu diakhiri dengan serah terima dan sosialisasi dari aplikasi yang telah dibuat. Dari kegiatan ini, mitra dalam hal ini adalah kader posyandu dan perangkat desa mencoba secara langsung aplikasi yang dibuat, sehingga dapat memberikan masukin secara langsung kepada tim untuk perbaikan aplikasi. Dari survei yang yang disebar ke seluruh peserta, didapati 80% peserta merasa puas dengan aplikasii yang ada dan berharap aplikasi segera dapat dilakukan perbaikan sehingga dapat langsung digunakan di desa Lengkong. Abstract: Stunting is one of the important public health problems in Indonesia, especially in Lengkong Village, West Java. Several main causes are difficulties in recording and monitoring the nutritional status of toddlers during the implementation of posyandu (integrated health post). Manual recording makes some stored data difficult to find and prone to errors during inputting. The purpose of this community service is to realize an application that can facilitate posyandu workers in monitoring the nutritional status of toddlers in a centralized manner. Thus, it is expected that partners can easily input data, review data accumulation, and quickly and accurately analyze the data. This application will then be socialized in a toddler nutrition campaign. Data from this application can be used by all stakeholders in real-time. This activity begins with a survey of problems in the field, followed by application development and ends with the handover and socialization of the application that has been made. From this activity, partners, in this case, posyandu workers and village officials, directly try out the application, so they can provide direct feedback to the team for application improvements. From the survey distributed to all participants, it was found that 80% of participants were satisfied with the existing application and hoped that the application could be improved soon, so it could be immediately used in Lengkong Village. 
Pilot Study on Therapeutic System Design for Pressure Ulcer Management: Feasibility and Initial Findings Lovindo Nulova; Husneni Mukhtar; Wahmisari Priharti; Maudina Citra Febriani; Ghibran Herlangga Zahra Rievansa; Fenty Alia
Jurnal Serambi Engineering Vol. 9 No. 4 (2024): Oktober 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pressure ulcers or Decubitus Ulcers are injuries to the skin and underlying tissue due to prolonged pressure and friction that cause heat that damages skin tissue, generally occurring in bedridden patients who have difficulty moving and changing their position. Pressure ulcer treatment relies on conventional methods, with prevention as the primary step. Wound care is often overcome by cleaning the wound and changing the bandage regularly, although this method requires a long time and patience until the wound can gradually improve. Prevention is done by helping to change the patient's sleeping position regularly every few hours. This study aims to create a device that can help accelerate the healing process of pressure ulcers by using light therapy exposed to skin with pressure ulcers. A few variations of experiments were carried out on several mice that were conditioned to have pressure ulcers. Hence, the wound's healing time rate in each mouse with no treatment, treatment with 50% light intensity, and 100% light intensity, respectively, are 7%, 34%, and 82%. This pilot study showed improvement in pressure ulcers on the surface of the mouse skin within seven days, where wound healing was 2 to 3 days faster than without treatment. In conclusion, this study has demonstrated the feasibility of providing a therapeutic healing effect on the skin of mice and can be further developed in the future.
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.
The Initial Development of Integrated Add-On Tele-Ultrasonography for Monitoring the Health of Pregnant Women and Fetuses in the Community Health Centers in Indonesia: - Susanti, Hesty; Setiyadi, Suto; Puspitasari, Dita; Alia, Fenty; Ramadhan, Muhammad Rizqi Syah
Journal of Engineering and Technological Sciences Vol. 57 No. 6 (2025): Vol. 57 No. 6 (2025): December
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2025.57.6.9

Abstract

Maternal health and fetal growth in rural areas require special attention due to limited access to adequate healthcare systems. Early detection of fetal health conditions can be achieved using B-mode ultrasonography (USG). However, expectant mothers in these regions often lack regular to regular check-up, even when healthcare facilities are available there may not be trained professionals available to analyze the B-mode images obtained in the Community Health Centres. To address this gap, a tele-USG system was developed that allows healthcare workers in remote areas to operate basic USG equipment and transmit real-time images to specialist doctors at higher-level healthcare facilities. During system development, a general-purpose USG phantom was used to test parameters: penetration depth, geometric accuracy, focal zone, and axial and lateral resolution. Testing confirmed that both USG and laptop used for streaming produce reliable and accurate results. A slight geometric representation differences of 2.74% (approximately 1 cm per target) was observed, attributed to dimensional distortion between devices with different monitor sizes. In geometric accuracy tests, five out of eight vertical and six out of seven horizontal targets were successfully detected. The smallest variation of 0.028 mm occurred at 5 MHz frequency, demonstrated high precision focal zone measurements. The axial resolution ranged between 0.25-0.5 mm, while lateral resolution ranged from 1.0-2.0 mm, indicating strong capability for fine-detail imaging. Overall, the system exhibited high sensitivity and excellent imaging performance, offering a promising solution to enhance maternal and fetal healthcare challenges faced by rural communities in Indonesia through accessible real-time diagnostic support
Implementasi Teknologi HygieScan sebagai Media Edukasi CTPS pada Siswa SDN Cipagalo 3 Bandung Salsabila Aurellia; Hesty Susanti; Fenty Alia; Hesty Syfa Asyafiah; Andi Tri Rahma Utami; Aurelia Ardhanisa Putri; Sharah Achmanda; Irfan Rifa’i
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 5 No. 2 (2025): Prosiding COSECANT : Community Service and Engagement Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v5i2.10310

Abstract

Kegiatan pengabdian masyarakat ini bertujuan meningkatkan pemahaman dan praktik Cuci Tangan Pakai Sabun (CTPS) sebagai bagian dari Perilaku Hidup Bersih dan Sehat (PHBS) pada siswa kelas 4 dan 5 SDN Cipagalo 3 Bandung melalui pendekatan demonstratif dan penggunaan teknologi tepat guna HygieScan. Kegiatan dilaksanakan melalui beberapa tahapan, mulai dari pemberian edukasi mengenai PHBS dan teknik CTPS, senam cuci tangan sebagai metode interaktif, praktik langsung mencuci tangan, hingga evaluasi kebersihan tangan menggunakan perangkat HygieScan berbasis pencahayaan ultraviolet. Perangkat ini memberikan umpan balik visual yang memungkinkan siswa melihat area tangan yang masih terkontaminasi setelah mencuci tangan. Hasil kegiatan menunjukkan peningkatan keterampilan CTPS pada sebagian besar siswa, yang terlihat dari berkurangnya area bercahaya saat pemindaian kedua. Antusiasme siswa juga tinggi, ditunjukkan oleh banyaknya peserta yang secara sukarela melakukan pemeriksaan ulang. Evaluasi melalui kuesioner kepada guru dan siswa menunjukkan respons sangat positif terhadap metode edukasi yang digunakan, efektivitas fasilitator, serta harapan agar program serupa dilakukan kembali. Sebagai bentuk keberlanjutan, dua unit HygieScan beserta buku manual dan media edukasi dihibahkan kepada pihak sekolah untuk mendukung pemanfaatan alat secara mandiri. Temuan ini menunjukkan bahwa integrasi teknologi sederhana namun interaktif dapat menjadi strategi edukasi yang efektif dalam memperkuat pembiasaan CTPS dan mendukung pencapaian PHBS di Sekolah Dasar.
Co-Authors Andi Tri Rahma Utami Aurelia Ardhanisa Putri Dita Puspitasari Fityanul Akhyar Ghibran Herlangga Zahra Rievansa Heru Syah Putra Hesty Susanti Hesty Syfa Asyafiah Husneni Mukhtar Irfan Rifa’i Ledya Novamizanti Lovindo Nulova Mas Rizky A.A. Syamsunarno Maudina Citra Febriani Muhammad Hablul Barri Putu Harry Gunawan Ramadhan, Muhammad Rizqi Syah Rita Purnamasari Salsabila Aurellia Sang Ayu Ketut Devi Saraswati Satria Mandala Sharah Achmanda Suto Setiyadi Tora Fahrudin Wahmisari Priharti