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All Journal Dinamik Elkom: Jurnal Elektronika dan Komputer MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer BERNAS: Jurnal Pengabdian Kepada Masyarakat Abdi Kami : Jurnal Pengabdian Kepada Masyarakat Madaniya MEANS (Media Informasi Analisa dan Sistem) Jurnal Informasi Sains dan Teknologi (ISAINTEK) Jurnal Cakrawala Informasi (JCI) Jurnal Pengabdian Kepada Masyarakat Journal of Computing Theories and Applications Jurnal Pengabdian Masyarakat International Journal of Applied Mathematics and Computing. International Journal of Computer Technology and Science Prosiding Seminar Nasional Ilmu Teknik Journal of New Trends in Sciences ABDI KAMI: Jurnal Pengabdian Kepada Masyarakat Global Science: Journal of Information Technology and Computer Science Proceeding of The International Conference on Electrical Engineering and Informatics
Aji Priyambodo
Institut Teknologi Dan Bisnis Semarang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

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PENGEMBANGAN UMKM DITINJAU DARI DIGITAL MARKETING MELALUI PEMANFAATAN LANDING PAGE Siska Narulita; Prihati Prihati; Aji Priyambodo; Jasman Indradno; Teti Safari
ABDI KAMI: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2023): (Februari 2023)
Publisher : LPPM Institut Agama Islam (IAI) Ibrahimy Genteng Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69552/abdi_kami.v6i1.1838

Abstract

Tren bisnis saat ini salah satunya adalah digital marketing. Digital marketing itu sendiri merupakan suatu teknik pemasaran berbasis internet. Teknik ini digunakan oleh pelaku usaha skala kecil hingga perusahaan besar untuk memperluas pangsa pasar. Salah satu media online untuk digital marketing ini adalah pemanfaatan landing page. Desa Margosari, Kecamatan Limbangan, Kabupaten Kendal, Jawa Tengah, khususnya di Dukuh Cemangklek mempunyai sebuah produk, yaitu batik. Semenjak terjadi pandemi Covid-19, proses produksi dan pemasaran tersendat. Proses produksi di sana tergantung pada jumlah order dari konsumen. Sedangkan untuk proses pemasaran masih mengandalkan pemasaran secara door to door, hal ini terhambat karena minimnya pengetahuan masyarakat dengan teknologi informasi. Oleh karena itu, dilakukan kegiatan pengabdian kepada masyarakat yang bertujuan untuk memberikan edukasi tentang digital marketing khususnya mengenai pemanfaatan landing page. Masyarakat sangat antusias dalam mengikuti kegiatan ini, karena mengetahui besarnya manfaat digital marketing bagi usaha mereka, bahkan ada yang tertarik untuk membuka usaha bisnis digital. Digital marketing melalui pemanfaatan landing page ini juga dapat digunakan untuk proses pemasaran produk lain yang dihasilkan oleh masyarakat Desa Margosari selain produk batiknya.
Computational Modeling and Simulation of Nonlinear Dynamical System Stability in Applied Mathematics Aji Priyambodo; Hariyono Rakhmad; Muhammad Shakir
International Journal of Applied Mathematics and Computing Vol. 2 No. 2 (2025): April: International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v2i2.271

Abstract

Nonlinear dynamical systems represent a fundamental area of study in applied mathematics due to their relevance across various disciplines, including physics, biology, and engineering. Their inherent complexity, characterized by phenomena such as bifurcation, chaos, and sensitivity to parameter variations, often limits the effectiveness of traditional manual analysis, particularly when addressing high-dimensional or computationally intensive models. This study aims to address these challenges by applying computational modeling and numerical simulation techniques to analyze the stability of nonlinear dynamical systems. The research employs analytical methods, including equilibrium point identification and linearization, which are then validated and extended through the fourth-order Runge-Kutta numerical method. Simulations were conducted to visualize equilibrium points, phase portraits, and parameter-driven bifurcation phenomena. The findings demonstrate a strong correspondence between analytical and numerical approaches, with minimal error margins (≤1%) observed in equilibrium point estimation, thus confirming the reliability of computational methods. Moreover, the bifurcation analysis revealed critical transitions such as pitchfork and Hopf bifurcations, which indicate sudden shifts from stability to instability behaviors that are difficult to capture through manual calculations alone. The integration of computational approaches provides clear advantages, offering systematic exploration of parameter spaces and detailed visualizations of system dynamics, thereby expanding the scope of stability analysis. In conclusion, this study emphasizes that computational modeling is not only an effective complement to analytical methods but also a necessary strategy for advancing the understanding of nonlinear dynamical systems in applied mathematics.
Sistem Informasi Inventory Berbasis Website Pada Toko Anugerah Sticker di Semarang Grace Ivana; Marsiska Ariesta Putri; Prihati Prihati; Aji Priyambodo
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.54

Abstract

This study aims to develop a web-based inventory information system to facilitate inventory data management and improve operational efficiency at Toko Anugerah Sticker. Currently, inventory management is still performed manually using paper, which complicates monitoring stock, recording incoming and outgoing items, and preparing reports accurately and promptly. To address these issues, the system was developed using the Waterfall method, consisting of five stages: requirement, design, implementation, verification, and maintenance. PHP was employed as the programming language for system development, while MySQL served as the database for storing inventory data. The system was tested using Blackbox testing to unsure that each function worked as expected. The result show that the web-based inventory information system successfully replaced the manual process, making inventory management more effective and efficient. It also enables real-time stock monitoring and generates reports faster and more accurately. The implementation of this system is expected to improve the quality of inventory data management at Toko Anugerah Sticker in the future.
Implementation of a Web-Based Marriage Registration and Referral Information System at the Bandungan Sub-District Religious Affairs Office Dheavita Reza Artamevia; Aji Priyambodo; Marsiska Ariesta Putri; Andreas Tigor Oktaga
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 2 (2024): July : Proceeding of the International Conference on Electrical Engineering and
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i2.37

Abstract

The purpose of this research is to build a web-based information system for the Bandungan Sub-district Religious Affairs Office (KUA) that covers marriage registration, referral applications and receipt of marriage registration and referral reports. The research method used is the Research and Development (R&D) method. The R&D method is a research method used to produce certain products and test the effectiveness of these methods. In addition, this research uses the proven waterfall theory. The result of this research is to produce a web-based information system that is able to manage integrated marriage and referral registration data using R&D and Waterfall methods. This information system uses the PHP programming language and uses mysql data storage.
Development of a Web-Based Information System in Kebondowo Village Heluy Tiana Rosa; Aji Priyambodo; Andreas Tigor Oktaga
Proceeding of the International Conference on Electrical Engineering and Informatics Vol. 1 No. 2 (2024): July : Proceeding of the International Conference on Electrical Engineering and
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/iceei.v1i2.39

Abstract

This research aims to develop a web-based information system at the Kebondowo village office. This research was conducted by analyzing the extent to which the Kebondowo Village Office uses an effective information system. This system development uses PHP, HTML and MySQL programming languages with the waterfall model method with several stages, namely requirements analysis, design, development, testing, and maintenance. The results of the study can be concluded that the Kebondowo Village Information System that can support activities in Kebondowo Village to the community. The Kebondowo Village website has been designed and implemented to improve the quality of public services by presenting information about profiles, announcements, and village activity agendas. This initiative makes it easier for Kebondowo Village Officials to deliver information directly without intermediaries, as well as providing convenience for residents to access and receive accurate information, including about social assistance programs and other activity agendas in the village.
Enhancing Cross-Organizational Healthcare Analytics Through Blockchain-Enabled Federated Learning Mutiara S. Simanjuntak; Aji Priyambodo; Elshad Yusifov
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 2 (2025): June: Global Science: Journal of Information Technology and Computer Science
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i2.176

Abstract

This study explores the integration of blockchain technology with federated learning (FL) to enhance cross-organizational healthcare analytics while ensuring privacy and data security. Federated learning allows multiple institutions to collaboratively train machine learning models without sharing sensitive patient data. Instead, local data is used to train models, and only model parameters are exchanged. However, privacy concerns and data sharing inefficiencies have hindered broader healthcare collaboration. Blockchain, a decentralized ledger technology, addresses these concerns by ensuring data integrity and transparency, providing an immutable and tamper-proof record of all transactions. This study investigates how the combination of blockchain and federated learning can overcome these challenges, facilitating secure and efficient data sharing between healthcare institutions. The study uses synthetic multi-institution healthcare datasets to simulate real-world collaboration scenarios. The blockchain-enabled federated learning system ensures that no raw patient data is shared, significantly reducing the risk of privacy breaches while still allowing healthcare institutions to collaborate on predictive model development. The results show that while there is a slight decrease in model accuracy compared to centralized methods, the trade-off is outweighed by the privacy and security benefits. Blockchain’s integration ensures that model updates are transparent, enhancing trust between institutions and reducing concerns about data integrity. Moreover, the use of blockchain’s smart contracts automates and enforces compliance, further streamlining collaboration. This research contributes to the field by demonstrating how blockchain-integrated federated learning can create a secure, scalable, and privacy-preserving framework for collaborative healthcare analytics. The findings underscore the potential for this approach to enhance healthcare outcomes and improve decision-making across institutions while ensuring patient data protection.
Designing Privacy Preserving Intelligent Computing Models for Cross Platform Mobile and Cloud Based Applications Aji Priyambodo; Prihati Prihati
International Journal of Computer Technology and Science Vol. 1 No. 1 (2024): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i1.356

Abstract

The rapid growth of cross-platform applications has significantly increased the volume and diversity of sensitive user data processed across heterogeneous and distributed environments. Personally identifiable information, device identifiers, behavioral data, and financial information are routinely collected to support personalization, analytics, and service optimization. While these practices enhance application functionality and user experience, they also introduce substantial privacy risks, including unauthorized data access, device fingerprint–based re-identification, cross-user data leakage, and large-scale data breaches. These risks are further amplified by distributed processing architectures and extensive third-party library integrations commonly used in modern cross-platform systems. This study aims to systematically analyze privacy issues in cross-platform applications by examining the types of sensitive data involved, identifying dominant privacy threats, and reviewing state-of-the-art privacy-preserving mitigation strategies. A systematic literature-based methodology was employed, focusing on recent Scopus-indexed journal articles, conference papers, and book chapters. The analysis synthesizes findings using thematic categorization and a conceptual research framework that maps sensitive data sources to privacy threats and corresponding mitigation mechanisms. The results indicate that privacy risks in cross-platform applications originate not only from external attacks but also from internal architectural weaknesses, such as flawed authorization logic and excessive data sharing across system components. Privacy-preserving techniques including differential privacy, federated learning, blockchain-based data governance, secure multi-party computation, and fine-grained access control mechanisms are shown to provide stronger privacy guarantees compared to conventional centralized approaches. However, these techniques also present trade-offs related to system complexity and performance. Overall, the study highlights the importance of adopting a multi-layered, privacy-by-design approach to ensure sustainable, trustworthy, and regulation-compliant cross-platform application development.
Cosine Similarity as a Distance Metric for Javanese Script Image Recognition Classification Priyambodo, Aji Priyambodo; Prihati, Prihati; Danang, Danang; Farhan bin Mohamed
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 2 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i2.4123

Abstract

Javanese character (Hanacaraka) recognition presents significant challenges due to the intricate patterns and variations in character features. Addressing these issues is crucial for digitizing cultural heritage and supporting educational applications. This study aims to evaluate the effectiveness of cosine similarity as a distance metric for classifying Javanese characters, comparing its performance against traditional Euclidean and Manhattan distance metrics. The research used a feature-extraction technique based on the histogram of oriented gradients and evaluated cosine similarity across different classification models. Model performance was assessed using precision, recall, F1-score, and accuracy metrics. The results showed that cosine similarity, when combined with a support vector machine, achieved an accuracy of 99.84%, significantly outperforming other distance metrics. When applied to another classification model, cosine similarity improved accuracy to 90%, demonstrating its robustness in handling complex patterns. Parameter optimization was performed using a grid-based search, and model reliability was assessed through cross-validation. Compared with previous studies that primarily relied on deep learning, this research offers an alternative method that balances efficiency and accuracy while maintaining high interpretability. The findings establish a new benchmark for Javanese character recognition and highlight the potential of cosine similarity in broader applications. Future research can expand this study by incorporating more diverse feature extraction techniques, larger datasets, and hybrid approaches to further enhance recognition performance.
A Systematic Literature Review of Robustness-Aware Batik Motif Classification: Acquisition Variability, Feature Representation, and Learning Models Aji Priyambodo; R. Rizal Isnanto; Ridwan Sanjaya
Journal of Computing Theories and Applications Vol. 4 No. 1 (2026): JCTA 4(1) 2026
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jcta.16074

Abstract

Batik motif classification has attracted growing attention in visual computing due to its role in cultural heritage preservation, textile informatics, museum documentation, and automated cataloging. Although many studies report high classification accuracy, robustness under real-world acquisition conditions remains insufficiently understood. Batik images are frequently affected by illumination variation, blur, folds, watermark overlays, wearable deformation, scale inconsistency, and background clutter, creating challenges that extend beyond conventional image-noise assumptions. Existing studies largely focus on improving classification performance, while the interactions among acquisition variability, feature representation, evaluation practice, and deployment constraints remain fragmented. This systematic literature review addresses this gap by synthesizing batik classification research through a robustness-aware perspective. Using query expansion, backward and forward citation chaining, relevance screening, and thematic coding, 116 candidate records were identified, resulting in 50 highly relevant studies for detailed analysis. The review reveals that robustness is shaped less by denoising alone than by the combined effects of acquisition conditions, representation design, evaluation realism, and deployment context. Handcrafted descriptors remain competitive for small datasets and structured motifs due to their data efficiency and interpretability, whereas deep learning models achieve the highest reported accuracy when supported by sufficient data diversity and realistic augmentation. Hybrid representations emerge as the most consistently balanced approach, combining local texture stability with higher-level abstraction across heterogeneous acquisition settings. The review further identifies recurring robustness failure patterns, including background dependency, illumination instability, motif-scale inconsistency, wearable deformation, and source-shift vulnerability. Based on these findings, a robustness-oriented research agenda is proposed, emphasizing cross-acquisition evaluation, representation-stability analysis, batik-specific robustness benchmarks, acquisition-aware augmentation, and deployable lightweight or hybrid architectures. The study contributes a domain-specific synthesis that reframes batik motif classification from an accuracy-centric task toward a robustness-aware visual recognition problem.
Co-Authors Aditya, Galuh Agus Ariawan Andreas Tigor Oktaga, Andreas Anggun Putri Dwi Anggun Putri Dwi Meilina Bambang Widjanarko Susilo Danang, Danang Dheavita Reza Artamevia Elshad Yusifov Farhan Bin Mohamed Fathkul Amin Grace Ivana Hariyono Rakhmad Heluy Tiana Rosa Heses, Martius Apun Ika Susanti Indradno, Jasman Jasman Indradno Kristiawan Nurdianto Kristiawan Nurdianto Kristiawan Nurdianto Marsiska Ariesta Putri Martinus Apun Heses Martinus Apun Heses Martius Apun Heses Muhammad Shakir Muhammad Toriq Firmansyah Munadi Munadi Mutiara S. Simanjuntak Novita Mariana Nur Fatoni Nurdianto, Kristiawan Prihati Prihati , Prihati Prihati . Prihati Prihati Prihati Prihati R Rizal Isnanto R. Soelistijadi Ridwan Sanjaya Ristanto, Hesti Safari, Teti Siska Narulita Stanislaus Wahyu Eka Teguh Khristianto Tri Arianto Umi Fadlilah Hidayanti Yoki Nawan Gunara