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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Networks, Architecture and High Performance Computing International Journal Software Engineering and Computer Science (IJSECS) Abdi Implementasi Pancasila: Jurnal Pengabdian kepada Masyarakat
Hindarto, Djarot
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Public Health Social Sciences

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Indonesian Culinary Application System Design with UML Method Hindarto, Djarot
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2675

Abstract

Indonesia has an important role as a country that produces various high-quality culinary items. Indonesia, with its plethora of natural resources and cultural diversity, can generate a wide range of culinary goods, including traditional foods and beverages as well as modern culinary inventions. Natural and cultural potentials are the foundation for the development of exceptional food and beverages in a country manufacturing culinary products. However, numerous issues with marketing are not global enough, even though Indonesian culinary items should be able to compete with well-known food products. Information technology and the internet have altered the culinary business scene in Indonesia, making it easier for local culinary products to obtain worldwide market share. This article investigates how the existence of information technology and the internet has opened up new avenues for Indonesian culinary manufacturers to broaden their marketing reach. Indonesian culinary items can now be accessed by consumers worldwide via an online platform, removing geographical barriers and presenting substantial economic growth possibilities. This study created an application system to advertise culinary products, with the first steps focusing on designing application systems. The Unified Modeling Language technique is used to create the culinary application system. This procedure aids in visualizing the system's structure, and interactions deployment. As a result, development teams and stakeholders have a more structured design and a better grasp of the system. Unified Modeling Language is quickly becoming a valuable tool for supporting thorough collaboration and documentation in application development.
Information System Design at FGH Stores with Unified Modelling Language Hindarto, Djarot; Hariadi, Mochamad
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2702

Abstract

This project aims to develop and execute a proficient information system at FGH Stores, to enhance sales performance and improve customer satisfaction. This study centers on incorporating information technology into routine business activities, intending to devise strategies that facilitate seamless consumer interactions and aid store management in effectively handling inventory and customer data. The research process includes the examination of business needs, the formulation of system architecture, the creation of user interfaces that prioritize ease of use, and the integration of databases. The resultant information system facilitates consumer registration as members, reduces browsing of product catalogs, and enables efficient execution of purchases. Furthermore, implementing shop management systems enables enhanced inventory monitoring, efficient customer data management, and improved responsiveness to consumer requests. This study assesses the effects of information systems on enhancing sales and operational efficiency by conducting data collection and analysis before and after deployment. The findings indicated that implementing information systems effectively enhanced the efficiency of the sales process and improved the customer experience, yielding substantial advantages for the growth of retail establishments. This study offers valuable insights into the possible utilization of information technology within the retail industry while also contributing to the comprehension of the favorable effects that information systems integration may have on corporate expansion and customer satisfaction.
The application of Neural Prophet Time Series in predicting rice stock at Rice Stores Hindarto, Djarot; Hendrata, Ferial; Hariadi, Mochamad
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2725

Abstract

Efficient inventory management and consistent rice supply are pivotal for the sustainability of small-scale food stalls. This research introduces an innovative approach to address this challenge through the Neural Prophet algorithm. By synergizing neural networks with additive regression models, the Neural Prophet captures intricate temporal patterns and trends within rice sales data. Our study evaluates the Neural Prophet's effectiveness in predicting rice sales, specifically for essential food vendors. Leveraging historical sales data from June 2022 to April 2023, the algorithm incorporates seasonality and trends and integrates external events, such as holidays, to heighten prediction precision. Our findings underscore the Neural Prophet's remarkable prowess in forecasting rice sales at primary food kiosks, adeptly discerning data trends and fluctuations, culminating in reliable future sales projections. The model boasts compelling performance metrics: MAE = 12.90, RMSE = 15.80, and Loss = 0.0313. Beyond its technical merits, this research carries significant practical implications, empowering proprietors and suppliers of basic food stalls to streamline inventory management, avert stockouts, and curtail overstocking by harnessing the precision of rice demand forecasting facilitated by the Neural Prophet algorithm.
Application Of Customer Service Enterprise Architecture In The Transportation Industry Hindarto, Djarot
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2744

Abstract

In an era of globalization and rapid technological advancements, the transportation industry is under increasing pressure to provide services that are efficient, integrated, and accommodating to the diverse requirements of customers. Enterprise Architecture is a holistic approach that can assist organizations in planning, managing, and integrating crucial elements such as business processes, information technology, data, and people. Using a qualitative approach and case studies in the transportation industry, this study investigates how the application of Enterprise Architecture can provide substantial benefits for enhancing customer service. Data was gathered by conducting in-depth interviews with various transportation organization stakeholders, including senior management, information technology personnel, and customer service teams. In the context of the transportation industry, this study seeks to analyze and describe the application of Enterprise Architecture with a concentration on customer service. The study results indicate that implementing Enterprise Architecture to customer service in the transportation industry can provide several significant benefits. Firstly, an Enterprise Architecture framework facilitates a greater comprehension of business processes and consumer interactions. This enables more effective process redesign and enhancements to customer service delivery. The author emphasizes the significance of Enterprise Architecture implementation in enhancing customer service in the transportation industry. This holistic approach can assist organizations in addressing complex challenges in a dynamic environment and provides a firm basis for customer-focused strategic decision-making. The findings of this study will likely provide valuable insights for the transportation industry and other organizations considering Enterprise Architecture implementation.
Maximizing ERP Benefits with Enterprise Architecture: A Holistic Approach Wedha, Bayu Yasa; Hindarto, Djarot
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2790

Abstract

Enterprise Resource Planning systems must strategically align with Enterprise Architecture to maximize benefits. In a business environment that is undergoing rapid change, organizations increasingly rely on ERP systems to integrate and streamline operations. However, the complete potential of ERP benefits may only be realized with an approach encompassing the entire organizational architecture. This study examines the importance of aligning ERP implementation with EA principles to establish a cohesive technological ecosystem. Organizations can facilitate seamless interactions and data flows by harmonizing business processes, data structures, applications, and technology infrastructure, allowing for efficient decision-making and resource optimization. The abstract describes how EA provides a structured blueprint to guide the integration of ERP systems, assuring compatibility, minimizing redundancies, and maximizing overall system efficiency. By conducting a comprehensive literature review and case study analysis, this study demonstrates the benefits of an integrated approach, including increased visibility, reduced operational divisions, improved scalability, and faster response to changes. The abstract also emphasizes the role of EA in adapting and evolving ERP systems as business requirements change, enabling organizations to resolve challenges and proactively leverage emerging technologies. Overall, this research contributes to a deeper understanding of the symbiotic relationship between EA and ERP by highlighting their combined ability to drive business growth, agility, and competitiveness. The abstract emphasizes the importance of strategic alignment. It guides practitioners, researchers, and decision-makers who wish to maximize the benefits of ERP implementations through a holistic Enterprise Architecture approach.
Cybersecurity Integration in Enterprise Architecture for IoT Infrastructure in Steel Manufacturing Hindarto, Djarot
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4415

Abstract

As a result of the widespread adoption of Internet of Things technology in the steel manufacturing industry, there is an urgent requirement for the implementation of robust cybersecurity measures. The proliferation of IoT devices has caused a data explosion, which in turn has increased the risk of cyberattacks. The purpose of this research is to develop an enterprise architecture model that is capable of effectively managing cybersecurity risks on Internet of Things infrastructure in the steel manufacturing industry. This is a response to the urgent challenge that has been presented. The methodology utilized in this study is a rigorous qualitative approach, which involves the collection and analysis of data through interviews and literature reviews related to the topic. Following an in-depth analysis of the findings of the research, several important goals have been established. These goals include the identification of potential dangers, the reduction of potential risks, and the effective implementation of security controls. Within the context of the steel manufacturing industry, this research makes a significant contribution to the improvement of cybersecurity in Internet of Things infrastructure. In addition to identifying potential dangers and mitigating risks, the architecture model that has been proposed is about more than that. It offers a comprehensive and well-coordinated safety strategy, which guarantees a strong defense against cyber threats.
PELATIHAN PENGGUNAAN MEDIA SOSIAL UNTUK OPTIMALISASI PENYEBARAN INFORMASI INSTITUSI PENDIDIKAN Ningsih, Sari; Gunawan, Arie; Hindarto, Djarot
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 4 (2024): Volume 5 No. 4 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i4.31227

Abstract

Pelatihan penggunaan media sosial untuk optimalisasi penyebaran informasi institusi pendidikan adalah kesempatan untuk meningkatkan keterampilan dan pengetahuan peserta tentang cara terbaik untuk menggunakan media sosial untuk meningkatkan penyebaran informasi oleh institusi pendidikan. Pelatihan ini akan membahas berbagai media sosial seperti Facebook, Twitter, YouTube, Instagram, dan WhatsApp. Pelatihan ini akan mencakup penggunaan media sosial untuk meningkatkan efektivitas penyebaran informasi, menentukan strategi media sosial yang tepat untuk tujuan tertentu, membuat konten yang menarik bagi audiens, serta memahami cara terbaik untuk mengelola dan memonitor media sosial. Tujuan  dari  pelatihan  ini  adalah untuk  membantu  peserta memaksimalkan efektivitas penyebaran informasi melalui media sosial oleh institusi pendidikan
Tourism Destination Recommendation Using Blockchain Technology and MCDM Approach Sanjaya, Irfan; Azimah, Ariana; Hindarto, Djarot; Sani, Asrul
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15482

Abstract

The rapid advancement of digital tourism services has revolutionized how travelers search and select destinations, yet privacy and trust issues remain major challenges in centralized recommendation systems. User data such as preferences, location history, and feedback are often stored on centralized servers, making them vulnerable to data breaches and manipulation. This research proposes a Blockchain-Driven Multi-Criteria Decision Making (MCDM) Approach to develop a privacy-preserving and trustworthy tourist recommendation system. The proposed framework integrates blockchain technology to ensure secure, transparent, and immutable data management, while MCDM techniques such as the Analytic Hierarchy Process (AHP) and TOPSIS are employed to evaluate and rank tourist destinations based on multiple criteria, including popularity, cost, safety, accessibility, and sustainability. The blockchain layer enforces decentralized data verification through smart contracts and cryptographic consensus, ensuring that user privacy is protected without sacrificing system transparency. The experimental results indicate improved recommendation accuracy, reduced privacy risks, and enhanced user trust compared to conventional systems. The proposed model achieved 12.5% higher recommendation accuracy and 30% lower privacy risk compared to centralized models. This study demonstrates that combining blockchain and MCDM can effectively support transparent and fair decision-making in digital tourism, offering a scalable and secure foundation for next-generation recommendation systems.
Blockchain and SVM Integration for Distributed DDoS Attack Detection Hia, Septua Ginta Putra; Hayati, Nur; Hindarto, Djarot; Sani, Asrul
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15483

Abstract

Rapid developments in information technology have increased dependence on network services, but have also triggered an increase in cyber threats such as Distributed Denial of Service (DDoS). These attacks can paralyze systems by flooding servers with simultaneous fake traffic. Conventional rule-based detection methods are now less effective in dealing with dynamic attack patterns, requiring an adaptive approach based on machine learning. This research develops a Support Vector Machine (SVM) model enhanced with Blockchain technology to improve accuracy and data security in detecting DDoS attacks. The dataset used is CICDDoS2023 from the Canadian Institute for Cybersecurity, which contains various variants of modern DDoS attacks. The research stages include data pre-processing, training the SVM model using the RBF kernel, and integrating Blockchain with training data hash recording through a smart contract using Remix Ethereum to ensure data integrity. Performance evaluation was carried out using accuracy, precision, recall, and F1-score metrics based on the confusion matrix results. The integration of SVM and Blockchain showed an increase in security and detection accuracy compared to conventional SVM models. This approach not only improves the reliability of the DDoS attack detection system, but also creates a transparent and tamper-proof data validation mechanism. The research results are expected to contribute to the development of adaptive, decentralized network security systems with a high level of confidence in attack detection results.
A Blockchain-Assisted Neural Network Model for Flood Detection and Data Integrity Assurance Melanza, Fattan Rezky; Hindarto, Djarot; Wedha, Bayu Yasa; Sani, Asrul
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15487

Abstract

Flooding is one of the most frequent natural disasters and has substantial impacts on social, economic, and environmental conditions. Therefore, early detection plays a critical role in minimizing potential damage and supporting effective disaster response. This study proposes a Flood Detection System Using an Artificial Neural Network (ANN) with Blockchain-Based Data Integrity, which integrates predictive analytics and secure data management in a unified framework. The ANN model processes multisource environmental data such as satellite imagery, rainfall intensity, water level fluctuations, and soil moisture obtained from Google Earth Engine (GEE). Training is conducted using a sigmoid activation function and backpropagation algorithm to identify spatial and temporal patterns associated with flood-prone areas. The resulting classification outputs are stored in a blockchain ledger to ensure immutability, transparency, and protection against unauthorized data modification. Experimental evaluations demonstrate that the proposed hybrid approach achieves an accuracy of 95.82%, supported by precision, recall, and F1-score values that indicate consistent model performance across varying environmental conditions. The integration of blockchain provides verifiable and tamper-proof documentation of ANN predictions and related metadata. Overall, this research contributes a reliable, secure, and technically robust method for early flood detection, offering valuable support for data-driven decision-making in disaster mitigation and environmental risk management.
Co-Authors Afarah, Sabrina Fajrul Afarini, Nihayah Alim, Syariful Alwi, Muchamad Nurdin Amalia, Nadia Amanda, Djaja Andrianingsih Anna Marina Ariana Azimah Arie Gunawan Arko Djajadi Asrul Sani Cahyo, Fajar Yusuf Nur Dazki, Erick Desmana, Satriawan Djunarto Eko Hadianto, Eko Endah Tri Esti Handayani Fauziah Fauziah Fauziah Gustian, Yonathan Wijaya Haryono Haryono Hendrata, Ferial Hia, Septua Ginta Putra Hidayat, Muhammad Rizky Amirullah Indriawan, Rizal ISWAHYUDI ISWAHYUDI Judijanto, Loso Melanza, Fattan Rezky Mochamad Hariadi Nur Hayati Nurfaizi, Kelfin Paays, Emmanuel Abet Rossi Prawira, Khairul Thamrin Putra, Tri Dharma Rahman, Ben Ramadhan, Duta Pramudya Ramadhani, Nursetiaji Ratih Titi Komalasari Richardus Eko Indrajit Ririn Ikana Desanti Sanjaya, Irfan Santoso, Handri Saputra, Adi Dwifana Saputra, Adi Dwifana Saputra Sari Ningsih Sentot Imam Wahjono Sholihati, Ira Diana Sjah, William Surya Suherman, Endang Sze, Edward Usman, Sabrina Fajrul Ula Wahyuddin, Mohammad Iwan Wedha, Alessandro Benito Putra Bayu Wedha, bayu Yasa WIJANARKO, SIGIT Wijaya, Yunan Fauzi Wirayasa, I Ketut Adi Yudhakusuma, Dudi Yudistira, Hernan Yulianto, Lili Dwi