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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JURNAL SISTEM INFORMASI BISNIS Telematika Proceeding SENDI_U Justek : Jurnal Sains Dan Teknologi JURTEKSI International Journal of Economics, Business and Accounting Research (IJEBAR) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal E-Komtek Community Development Journal: Jurnal Pengabdian Masyarakat GUYUB: Journal of Community Engagement Journal of Information Technology (JIfoTech) Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Proceeding of International Conference Health, Science And Technology (ICOHETECH) Mestaka: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Journal of Information Technology Jurnal Teknik Informatika dan Teknologi Informasi Proceedings Law, Accounting, Business, Economics and Language (LABEL)
Sopingi
Universitas Duta Bangsa Surakarta
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Pengembangan Prototipe Token Transaksi Cryptocurrency SDSPay Berbasis Blockchain Ethereum Virgian Galang Sasongko; Faulinda Ely Nastiti; Sopingi Sopingi
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5665

Abstract

The transformation of digital payment systems through blockchain technology has brought new challenges and opportunities in the development of secure, efficient, and decentralized crypto tokens. One emerging approach is the use of smart contract-based tokens, such as ERC-20 tokens running on the Ethereum network. This research proposes the design and implementation of the SDSPay (SDS) token as a prototype Ethereum-based ERC-20 token, with a modern smart contract approach to meet the needs of a more efficient and secure digital payment system. The SDS token adopts the basic ERC-20 standard but is equipped with advanced features that enhance functionality and security, such as role-based access control (RBAC) to regulate access and control over transactions, pauseable transactions to pause transactions if necessary, and compatibility with EIP-2612 permits that enable more efficient transaction authorization in terms of gas. These features are designed to improve the efficiency and security of transactions on blockchain networks, thus enabling the use of tokens in a more reliable digital payment system. The SDS token prototype was tested on the Sepolia Testnet using Remix IDE and MetaMask to develop and manage smart contracts. Additionally, a static security audit was conducted using Slither Analyzer to detect potential vulnerabilities. The test results showed that the SDS token was successfully deployed and performed well, with an average transaction time of 10–12 seconds and stable gas fees. The Slither audit also found no significant vulnerabilities, indicating that the smart contract structure adheres to security best practices. This study confirms that the development of standardized smart contract-based tokens can be carried out using an efficient, reliable, and replicable methodology for other applications in future blockchain-based payment systems. This implementation of the SDSPay (SDS) token can serve as a foundation for designing secure and efficient digital payment systems, paving the way for the broader development of blockchain technology.
PENGEMBANGAN KEMITRAAN MASYARAKAT UMKM WEDANG REMPAH 3 PUTRI SUKOHARJO Indra Hastuti; Sopingi; Singgih Purnomo
Proceedings Law, Accounting, Business, Economics and Language Vol. 2 No. 1 (2025): Pembangunan Berkelanjutan: Persepektif Ekonomi,Hukum, dan Komunikasi Dalam Bisn
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/label.v2i1.5588

Abstract

Program Kemitraan Masyarakat (PKM) ini dilaksanakan bersama mitra Wedang Rempah 3 Putri Sukoharjo, sebuah UMKM minuman tradisional, yang menghadapi permasalahan utama dalam manajemen usaha dan pemasaran. Permasalahan meliputi pencatatan data pelanggan yang masih manual, keterbatasan jaringan mitra dan distributor, serta strategi pemasaran yang masih konvensional. Untuk mengatasi hal tersebut, ditawarkan solusi melalui implementasi aplikasi e-Prospek yang dirancang untuk mendukung manajemen usaha dan pemasaran digital. Metode pelaksanaan meliputi identifikasi permasalahan, perancangan aplikasi, implementasi, pendampingan, serta evaluasi. Hasil implementasi menunjukkan bahwa e-Prospek mampu meningkatkan efisiensi pengelolaan usaha melalui digitalisasi data, CRM, dan analitik penjualan. Pada aspek pemasaran, otomatisasi kampanye digital, integrasi dengan marketplace global, serta evaluasi strategi berbasis data berhasil meningkatkan brand awareness dan memperluas jangkauan pasar hingga tingkat internasional. Kesimpulannya, penerapan e-Prospek tidak hanya menyelesaikan permasalahan mitra, tetapi juga menjadi model transformasi digital yang dapat direplikasi oleh UMKM lain untuk meningkatkan daya saing di era industri 4.0.
PENGELOLAAN POTENSI PARIWISATA KEARIFAN LOKAL BERBASIS MASYARAKAT DI DUSUN JLEGONG DESA GEMAWANG KECAMATAN NGADIROJO KABUPATEN WONOGIRI JAWA TENGAH Yohanes Martono Widagdo; Sopingi Sopingi; Markus Utomo Sukendar
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.37113

Abstract

Upaya mengembangkan desa sebagai destinasi wisata tidak hanya cukup dengan fokus pada satu potensi utama, tetapi juga perlu memperhatikan potensi lain yang harus dioptimalkan, serta melibatkan partisipasi aktif masyarakat dalam pengelolaannya. Tujuan dari pengabdian ini adalah untuk membantu mengembangkan potensi wisata melalui mitra kelompok sadar wisata (Pokdarwis) yang berbasis kearifan lokal di Dusun Jlegong, Desa Gemawang, dan sekitarnya, dengan harapan dapat meningkatkan perekonomian masyarakat. Metode yang digunakan meliputi observasi dan wawancara langsung dengan mitra masyarakat yang tergabung dalam kelompok sadar wisata (Pokdarwis) Sewu Padi di Dusun Jlegong. Selain itu, juga dilakukan berbagai pelatihan relevan untuk pengembangan kawasan wisata, serta menjalin kolaborasi dengan pihak eksternal seperti pemerintah daerah, investor, komunitas lokal, perguruan tinggi, dan pihak terkait lainnya. Hasil kegiatan ini menunjukkan adanya peningkatan kesadaran masyarakat untuk bekerja sama dalam pengelolaan potensi wisata secara berkelanjutan. Kesimpulannya, pengembangan pariwisata kearifan lokal berbasis masyarakat dapat meningkatkan potensi wisata dan perekonomian masyarakat menuju kawasan wisata yang berkelanjutan.
Bridging hybrid deep learning detection and lightweight handcrafted features for robust single sample face recognition Faulinda Ely Nastiti; Sopingi Sopingi; Dedy Hariyadi; Sri Sumarlinda
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp888-900

Abstract

Single sample face recognition (SSFR) remains a challenging task due to the limitation of having only one reference image per identity, which reduces embedding diversity and decreases robustness under variations of pose, expression, and illumination. This study proposed a hybrid framework that integrates deep learning-based detection through anchor box optimization and non-maximum suppression (NMS) with lightweight handcrafted feature extraction using local binary pattern (LBP). The detection stage leverages deep learning to ensure robust face localisation, while LBP maintains computational efficiency under limited-sample conditions. The training process showed accuracy improvement from 47.5% at the initial epoch to 98.0% at epoch 72, while testing accuracy stabilized at 85-88% with the best value of 87.9%. Evaluation on 48 new facial images achieved 89.6% accuracy, 95.3% precision, 91.1% recall, 93.1% F1-score, and 0.94 area under the receiver operating characteristic curve (AUC ROC). Real-world implementation on Android and iOS-based attendance applications further validated the model, reaching 88.46% accuracy across 52 tests under 50-400 lux illumination. The findings proved that the proposed hybrid design provides improved accuracy and stability compared with previous approaches.
Event Driven Architecture Approach for Synchronization Real Time NeoFeeder PDDIKTI Sopingi Sopingi; Sri Sumarlinda
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss3pp458-464

Abstract

Pangkalan Data Pendidikan Tinggi memiliki peran penting sebagai pusat informasi pendidikan tinggi di Indonesia. NeoFeeder hadir sebagai middleware untuk menjembatani perbedaan sistem informasi akademik antar perguruan tinggi dengan database terpusat PDDIKTI. Implementasi NeoFeeder saat ini masih menggunakan sistem batch atau pemicu manual, yang dapat menyebabkan keterlambatan pembaruan data, terutama jika data besar atau ada perubahan mendadak. Untuk mengatasi hal ini, diperlukan arsitektur sistem yang lebih adaptif, scalable, dan responsif terhadap perubahan data. Penelitian ini bertujuan untuk menghasilkan model integrasi berbasis Event-Driven Architecture yang dapat meningkatkan efisiensi sinkronisasi data antara sistem akademik internal dan NeoFeeder PDDIKTI. Penelitian ini menggunakan pendekatan Rapid Application Development. Hasil penelitian menunjukkan bahwa sistem mampu mengirimkan lebih dari 1.000 data per detik dengan latensi rata-rata 4,05 ms dan response time di bawah 40 ms. Kesimpulannya, pendekatan Event Driven Architecture efektif dalam membantu sinkronisasi data akademik ke NeoFeeder secara real time.
Strengthening Tourism Village Governance through Community Participation for Sustainable Development Yohanes Martono Widagdo; Markus Utomo Sukendar; Sopingi Sopingi
GUYUB: Journal of Community Engagement Vol 6, No 4 (2025): Desember
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v6i4.13166

Abstract

Sustainable tourism development requires community-based management of tourism villages that is grounded in local potential. Sewu Kembang Tourism Village faces challenges related to weak institutional capacity, limited human resources, and suboptimal utilisation of tourism assets. This community service programme aims to strengthen tourism village governance through a Participatory Action Research (PAR) approach, which positions the community as the main actor throughout the intervention process. The PAR method was implemented through four iterative stages: participatory problem identification and potential mapping, collaborative action planning, action implementation through training and technical assistance, and participatory reflection and evaluation. The programme involved local communities, Pokdarwis, village government, and universities as collaborative partners. The findings indicate significant improvements in human resource capacity, institutional strengthening of Pokdarwis, and increased community participation in tourism management. These improvements were measured through pre- and post-tests, performance observations, and the application of newly acquired skills in destination management practices. The results demonstrate that PAR is an effective approach for fostering community empowerment and supporting the sustainability of tourism village development.
Deteksi dan Klasifikasi Sampah Organik dan Anorganik Menggunakan Algoritma Yolo di Solo Technopark Rafel Fernando; Afu Ichsan Pradana; Sopingi
J-INTECH ( Journal of Information and Technology) Vol 14 No 02 (2026): Journal of Information and Technology
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v14i02.2362

Abstract

The advancement of artificial intelligence (AI) technology, particularly in the area of computer vision, has encouraged the use of automatic object detection methods for various needs, including the classification of organic and inorganic waste. The problem of waste management in the Solo Technopark area which is still carried out manually causes the waste sorting process to not run optimally. This research focuses on developing and evaluating the performance of several YOLO models for detecting and classifying organic and inorganic waste types in real-time. The research dataset contains 6,758 waste images categorized into 10 object classes, obtained from Roboflow. The preprocessing stages include annotation, auto-orientation, and image resizing to 640×640 pixels. The dataset is then divided into 70% training data, 20% validation, and 10% testing. This study used three YOLO models, namely YOLOv11, YOLOv12, and YOLOv26 with epoch variations of 10, 30, 50, and 100. Model evaluation was carried out using precision, recall, mAP50, mAP50-95, and inference time metrics. The results showed that the best model was obtained on YOLOv26 epoch 100 with a precision value of 0.92, recall of 0.847, mAP50 of 0.892, mAP50-95 of 0.741, and inference time of 3.0 ms. These findings indicate that the YOLOv26 model has good capabilities in detecting and classifying organic and inorganic waste accurately and quickly, so it has the potential to be used as a basis for developing a real-time waste detection system.
Klasifikasi Penyakit Daun Jagung Menggunakan MobileNet V3 Berbasis Transfer Learning Dengan Visualisasi Grad-CAM Rendhita Dennis Saputra; Afu Ichsan Pradana; Sopingi
Journal of Information Technology Vol. 6 No. 2 (2026): Journal of Information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v6i2.1140

Abstract

Tanaman jagung merupakan komoditas pertanian strategis di Indonesia yang rentan terhadap serangan penyakit daun seperti Gray Leaf Spot, Northern Leaf Blight, dan Common Rust yang dapat menurunkan hasil panen secara signifikan apabila tidak ditangani sejak dini. Proses identifikasi yang masih dilakukan secara konvensional sangat bergantung pada pengalaman individu dan rentan terhadap kesalahan diagnosis, sementara model deep learning yang telah dikembangkan umumnya bersifat black-box sehingga sulit dipahami oleh pengguna akhir seperti petani dan penyuluh pertanian. Penelitian ini bertujuan mengembangkan model klasifikasi penyakit daun jagung yang akurat sekaligus interpretatif menggunakan arsitektur MobileNetV3-Small berbasis transfer learning dengan integrasi visualisasi Grad-CAM untuk meningkatkan transparansi hasil prediksi. Dataset yang digunakan terdiri atas 4.000 citra daun jagung dari platform Kaggle yang terbagi ke dalam empat kelas yaitu Bercak Daun, Hawar Daun, Karat Daun, dan Daun Sehat dengan rasio pembagian 80:20, dilatih selama 10 epoch menggunakan optimizer Adam dengan learning rate 0,001 dan batch size 32, serta diimplementasikan dalam prototipe aplikasi berbasis web menggunakan framework Flask. Hasil evaluasi menunjukkan model mencapai akurasi 97,75%, precision 97,76%, recall 97,75%, dan F1-score 97,75%, sementara evaluasi kuantitatif Grad-CAM pada 4.000 citra menghasilkan performa keseluruhan sebesar 98,55%, membuktikan relevansi visualisasi terhadap area gejala penyakit yang sebenarnya.
Analisis Sentimen Berbasis Aspek pada Ulasan Google Maps Restoran Soramen Menggunakan IndoBERT-LoRa Rafiq Satria Yudha; Sopingi; Moh. Muhtarom
Journal of Information Technology Vol. 6 No. 2 (2026): Journal of Information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v6i2.1145

Abstract

Online reviews on Google Maps are a strategic resource for restaurant management, but a single review often praises one aspect while criticizing another, so document-level sentiment cannot reveal which aspect drives satisfaction or complaints. This study applies Aspect-Based Sentiment Analysis (ABSA) to Soramen restaurant reviews through a two-stage span-level pipeline—aspect-term extraction (ATE) then sentiment classification (ASC)—across four aspects (FOOD, SERVICE, PRICE, PLACE) with IndoBERT, evaluating parameter-efficient Low-Rank Adaptation (LoRA) against full fine-tuning to map critical service aspects. The data comprise 1,742 original reviews (3,930 spans) expanded to 3,061 reviews through controlled synonym-replacement augmentation and split using StratifiedGroupKFold with five folds. The results show that LoRA r=16 attains a Joint Partial F1 of 0.7744 with only 0.48% of parameters trained, comparable to full fine-tuning (0.7727); the difference is not statistically significant (paired t-test, p=0.82), so LoRA r=16 performs on par with full fine-tuning while using roughly 200 times fewer parameters. Analysis of the labeled corpus—in which (with negative reviews intentionally oversampled for training and therefore do not represent population proportions—) shows FOOD as the most frequently mentioned aspect (64.4% of reviews), while SERVICE and PRICE carry the largest share of complaints (around 36% each), and FOOD and PLACE remain dominated by positive sentiment. This study confirms LoRA as an efficient alternative for Indonesian ABSA while producing managerial recommendations based on complaint themes for Soramen.
Co-Authors Adnan Wahyu Suryawijaya Afu Ichsan Pradana Ardian Pamungkas Dedy Hariyadi Desi Mandasari Didi Setiawan Dwi Hartanti Dyah Aprimavista Cahyani Eko Purwanto Erna Chotidjah Suhatmi Ety Meikhati FAULINDA ELY NASTITI Ilham Hendra Prabowo Indra Hastuti Indra Hastuti, Indra Lestari, Retna Dewi Markus Utomo Sukendar Mei Purweni Moh Muhtarom Muhammad Rizky Asyhana Putra Muzzaqi Chairul Iman Nagasa Waka Aji Nurchim Nurohman Pipit Vidianti Purweni, Mei Rafel Fernando Rafiq Satria Yudha Ratini Setyowati Rendhita Dennis Saputra Septi Wulandari Singgih Purnomo SRI SUMARLINDA Utami, Indah Wahyu Virgian Galang Sasongko Wijiyanto yohanes martono widagdo