Article Per Year (5 Year)
p-Index From 2020 - 2025
1.431
P-Index
This Author published in this journals
All Journal Jurnal Pekommas Jurnal Teknologi Informasi dan Ilmu Komputer MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Kumawula: Jurnal Pengabdian Kepada Masyarakat JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Pengabdian UNDIKMA Journal Of Artificial Intelligence And Software Engineering Jurnal Informatika Polinema (JIP) Jurnal Pengabdian Kepada Masyarakat
Ariadi Retno Tri Hayati Ririd
Politeknik Negeri Malang
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
PELATIHAN PENGEMBANGAN KONTEN DIGITAL MENGGUNAKAN ALAT DESAIN BERBASIS WEB DAN MOBILE Rachmad Syulistyo, Arie; Ni’ma Shoumi, Milyun; Enggar Sukmana, Septian; Rahmad, Cahya; Retno Tri Hayati Ririd, Ariadi; Nur Rahmanto, Anugrah; Zettyara, Devi
Jurnal Pengabdian kepada Masyarakat Vol. 11 No. 1 (2024): JURNAL PENGABDIAN KEPADA MASYARAKAT 2024
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v11i1.4764

Abstract

The internet and information systems are rapidly evolving, with technology becoming increasingly sophisticated worldwide. Consequently, entrepreneurs can now offer valuable information or conduct business from the convenience of their own homes. In this context, it is expected that PKK mothers, specifically those affiliated with the PKK group RW 07 in Purwodadi Village, Blimbing District, Malang City, should seize these opportunities by utilizing digital content. The PKM Community Service Team is encouraged to offer training in digital content creation in light of advancements in information technology. The team is currently seeking web-based and mobile design tools that can be readily utilised by PKK group mothers. The digital content produced can be employed to advertise activities within the RW community or their own merchandise. Following the implementation of community service, the PKM team evaluated the PKK group with 5 questions. The PKK group deems the presented material useful and the program beneficial for enhancing their skills. Overall, the PKK group expresses satisfaction with the program's implementation. Additionally, following observations made by the PKM Team, the information we offer has been utilized to produce captivating content for broadcasting announcements on social media platforms belonging to the PKK organization.
Proliferative Diabetic Retinopathy Detection Using Convolutional Neural Network with Enhanced Retinal Image Sabilla, Wilda Imama; Hani'ah, Mamluatul; Ririd, Ariadi Retno Tri Hayati; Amalia, Astrifidha Rahma
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 1 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i1.4976

Abstract

Proliferative Diabetic Retinopathy (PDR) is the most severe stage of Diabetic Retinopathy (DR), carrying the highest risk of complications. Automatic detection can help provide earlier and more accurate PDR diagnosis, but prediction accuracy may decline due to limitations in retinal images. Therefore, image enhancement techniques are often applied to improve DR classification. This study aims to detect PDR from retinal images using Convolutional Neural Networks (CNNs) and to evaluate the impact of three enhancement methods. This research method is based on a CNN architecture, including ResNet34, InceptionV2, and DenseNet121, as well as enhancement methods such as CLAHE, Homomorphic Filtering (HF), and Multiscale Contrast Enhancement (MCE). The results of this research show that CNN performance varies across architectures and enhancement methods. The highest performance was achieved using ResNet34 with HF, yielding an accuracy of 0.976, precision of 0.934, and recall of 0.904. CLAHE generally improved performance across architectures, achieving the best average accuracy of 0.953, whereas MCE decreased classification accuracy. Overall, the findings highlight the importance of selecting appropriate enhancement methods to improve PDR detection accuracy. Implementing such systems in clinical screening could help reduce the risk of vision impairment among diabetic patients.
Co-Authors Adi Pranoto Adi Pranoto, Adi Aditya Bagus Prakoso Aditya Bagus Wirawan Alfian Fadli Amalia, Astrifidha Rahma Anak Agung Bagus Wirawan Andarini, Dyah Kartika Dwi Angga Setiyawan Annisa, Diina Itsna Ardiansyah, Rizky Ayundha Wulan Kurniawati Bagas Satya Dian Nugraha Buata, Yusliana Gadis Candra Bella Vista Deddy Kusbianto Purwoko Aji Dedy Teguh Pribadi Dhebys Suryani Hormansyah Dhebys Suryani Hormansyah, Dhebys Suryani Dien, Habibie Ed Diina Itsna Annisa Dyah Kartika Dwi Andarini Elok Nur Hamdana Enggar Sukmana, Septian Erwin Tidar Huda Utama Fadli, Alfian Faisal Rahutomo Habibie Ed Dien Habibie Ed Dien Hendra Pradibta Huda Utama, Erwin Tidar Indra Dharma Wijaya Indra Dharma Wijaya, Indra Dharma Kurniawati, Ayundha Wulan M. Farid Husni Mubarok Mamluatul Hani’ah Mubarok, M. Farid Husni Muhammad Ghulam Asshokin Ni’ma Shoumi, Milyun Noprianto Nur Rahmanto, Anugrah Nur Wardani, Alifah Okta Nurudin Santoso Prakoso, Aditya Bagus Pribadi, Dedy Teguh Primadhana, Yoga Andri Rachmad Syulistyo, Arie Rahmad, Cahya Raka Pradana, Hafiz Ratsanjani, M. Hasyim RIZKY ARDIANSYAH Rosa Andrie Asmara Rudy Ariyanto Rudy Ariyanto Santoso, Nurudin Saputra, Agung Adi Setiyawan, Angga Vit Zuraida Wilda Imama Sabilla Yoga Andri Primadhana Yoppy Yunhasnawa Yuri Ariyanto Yuri Ariyanto Yusliana Gadis Buata Zettyara, Devi