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All Journal International Journal of Advances in Applied Sciences Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Union: Jurnal Ilmiah Pendidikan Matematika M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Jurnal Bumigora Information Technology (BITe) Journal of Applied Data Sciences Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Mandiri International Journal of Computing Science and Applied Mathematics-IJCSAM
Isnandar Slamet
Universitas Sebelas Maret
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Retinopathy Classification using Convolutional Neural Network Method with Adaptive Momentum Optimization and Applied Batch Normalization Isnandar Slamet; Dhestahendra Citra Susilotomoa; Etik Zukhronah; Sri Subanti; Irwan Susanto; Winita Sulandari; Sugiyanto Sugiyanto; Yuliana Susanti
Journal of Applied Data Sciences Vol 5, No 3: SEPTEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i3.309

Abstract

Retinopathy is a common eye disease in Indonesia, ranking fourth after cataracts, glaucoma, and refractive errors. It can be overcome by early diagnosis with optical coherence tomography (OCT), but this imaging technique takes much time. In this research, retinal imaging was carried out using an expert system. The expert system in this study was formed using the convolutional neural network (CNN or ConvNet) method. CNN is an algorithm of deep learning that uses convolution operations to process two-dimensional data, such as images and sounds. This research consisted of 4 stages: data collection, preprocessing, model design, and model testing. A CNN model was formed with three arrangements, consisting of two convolutional layers and one pooling layer. The ReLU activation function, zero padding, and batch normalization were used in all three formats. Then, the flattening process was carried out, and the Softmax activation function was used at the end of the architecture. The model was built using eight epochs, and optimization of Adaptive Momentum resulted in a 98.96% test data accuracy value. The result was considered good so that CNN could be used as an alternative in retinopathy diagnosis. Further research is suggested to use other optimizations or other model architectures.
PENDAMPINGAN HIDROPONIK IBU-IBU PKK UNTUK PENGUATAN EKONOMI DESA BANDUNG Isnandar Slamet; Dinda Tri Nugraheni; Fradika Fatika Putri; Syaibatus Salmah; Dewi Safitri
JURNAL PENGABDIAN MANDIRI Vol. 5 No. 9 (2026): September 2026
Publisher : Bajang Institute

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Abstract

Desa Bandung, Kecamatan Ngrampal, Kabupaten Sragen memiliki potensi lahan pekarangan yang belum dimanfaatkan secara optimal untuk mendukung ketahanan pangan dan kemandirian ekonomi keluarga. Program pengabdian Tani Lestari bertujuan meningkatkan literasi pertanian modern dan memberdayakan ibu-ibu PKK melalui pendampingan budi daya hidroponik. Kegiatan menggunakan pendekatan deskriptif kualitatif berbasis studi kasus dengan strategi partisipatif, dilaksanakan dalam lima tahap meliputi sosialisasi konsep hidroponik, praktik instalasi skala rumah tangga berbahan botol bekas dengan sistem wick, perakitan instalasi skala komunal berbahan pipa PVC, serta publikasi hasil melalui Expo Kreatif desa. Hasil pengabdian menunjukkan peserta berhasil memahami konsep dasar hidroponik dan mampu mempraktikkan pembuatan instalasi secara mandiri tanpa pendampingan lanjutan. Program ini terbukti efektif meningkatkan pengetahuan, keterampilan teknis, serta potensi ekonomi produktif ibu-ibu PKK melalui pemanfaatan lahan pekarangan secara berkelanjutan. Kegiatan ini sejalan dengan upaya pencapaian Tujuan Pembangunan Berkelanjutan (SDGs), khususnya SDG 3: Kehidupan Sehat dan Sejahtera (Good Health and Well-Being) melalui penguatan ketahanan pangan bergizi rumah tangga, serta SDG 4: Pendidikan Berkualitas (Quality Education) melalui peningkatan literasi pertanian modern bagi ibu-ibu PKK
Co-Authors Annida Hayatina Karima Ardilla Bernagisca Aulia Rizki Destarani Devy Istofia Al Ubaidah Dewi Safitri Dhestahendra Citra Susilotomoa Dinda Nurazizah Dinda Tri Nugraheni Fivin Anjani Fradika Fatika Putri Ignasia N.G. Neyun Imam Sujadi Irwan Susanto Irwan Susanto Kalinda Sukma Lintang Fitra Utami Muhammad Bayu Nirwana Muhammad Husain Nabila Churin Aprilia Naufal Krisgian Syah Putra Novan Riyanduwa Pramudya, Ikrar Rahmawati Fatkhul Janah Salsabila Putri Maharani Sri Subanti Sugiyanto Sugiyanto Sugiyanto Sugiyanto Syaibatus Salmah Syifa’ Salsabila Gita Parahita Triyanto, Triyanto Winita Sulandari Winita Sulandari Yuliana Susanti Zukhronah, Etik