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Performance Analysis of Network Emulator Based on the Use Of Resources in Virtual Laboratory Yuri Ariyanto; Yan Watequlis Syaifudin; Budi Harijanto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (776.333 KB) | DOI: 10.11591/eecsi.v4.972

Abstract

A network emulator is a software in its environment mimicking the functions and habits of the original network. Problems often encountered in doing research on computer networks is a problem of design and trial scenarios that require software and hardware enough to implement such a network  scenario  similar  to  a  real  scenario.  Using  virtual machine technology is expected to solve the problem. Netkit supports experiments with various network technologies and can support other technologies necessary for certain network experiments. This study uses a network emulator with netkit, where it is freely available and built based on Linux User Mode. Netkit  allows  users  to  experiment  with  complex   computer network scenarios that can be easily implemented using linux. The experimental research is done by making the design first. The design is used to implement the routing process, to connect 4 different network addresses. On the Netkit implementation of the design, it is implemented by creating a virtual routing lab based on   data   from   computer   network   topologies.   The   virtual laboratory implementation of this research routing is based on a network topology scenario. The results of these virtual routing lab experiments, the routing process runs well on the network based on predetermined test scenarios, with the occurrence of connections between different network addresses..In the end the virtual routing lab implementation works well, with performance analysis results from the netkit emulator on the use of computer resources showing Usage CPU usage of 0% and Memory Usage averaging 20942.8k test time for 12 minutes. The results of this trial is very helpful for administrators before the implementation on the real network
An Implementation of Project Investment Management on Blockchain-based Crowdfunding System Yan Watequlis Syaifudin; salies Apriliyant; Hein Htet; Ferdy Hanan Pradana; Yuri Ariyanto; Indrazno Siradjuddin; Pramana Yoga Saputra; Triana Fatmawati
Asian Journal Science and Engineering Vol. 3 No. 1 (2024): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v3i1.1686

Abstract

This study explores the transformative impact of blockchain technology on corporate investment management by developing an application that enhances transparency, security, and efficiency while mitigating fraud risks. By utilizing the Proof of Authority (PoA) methodology on a private blockchain network, the application enables secure, immutable transaction records and facilitates the management of investment projects along with token purchase transactions. It is structured using the Waterfall model, including essential phases such as requirements analysis and rigorous testing, which demonstrate the application’s ability to improve operational efficiency and foster accountability among stakeholders. The research highlights the role of tokenization in crowdfunding, wherein rights or assets are converted into digital tokens, enhancing transparency and liquidity. The system also integrates smart contracts to automate critical investment processes while ensuring secure user authentication and authorization. Evaluations reveal high success rates in functionality and user acceptance, though challenges such as scalability and regulatory compliance remain. Addressing these aspects is vital for maintaining the system's effectiveness and user confidence in decentralized investment management.
Clusterization of MSMe and Warehouse Locations for Efficiency of Courier Placement Annisa Aulia Nadhila; Yuri Ariyanto; Yan Watequlis Syaifudin
Journal of Evrímata: Engineering and Physics Vol. 02 No. 02, 2024
Publisher : PT. ELSHAD TECHNOLOGY INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70822/journalofevrmata.v2i02.66

Abstract

The increasing number of MSMes and the high demand for fast delivery present challenges for logistics companies in managing efficient routes and courier placement. Without proper clustering, warehouse placement and picking points are often uncoordinated, causing delivery delays and increased operational costs. This research aims to group MSMe and warehouse locations based on distance, delivery volume and demand patterns to find optimal zones for courier placement, thereby increasing the efficiency of delivery routes, reducing operational time and costs, and improving the quality of delivery services. The courier clustering management application uses the Scrum method, with database design based on class diagrams and functional processes through use cases and activity diagrams. Admin maps delivery areas based on sub-districts and determines fixed prices for each regional cluster. The process of optimizing the clustering of MSMe locations in City Geographic data for new shipments is retrieved via the Google Maps API, sending the complete address to the Geocodes API endpoint. The clustering process uses the K-Means method to group MSMe locations based on geographic proximity. The test results show the efficiency of logistics delivery as well as cheaper and fairer rates thanks to the application of flat rates for all courier service users, both for long and short distances.
Ensuring Data Integrity in Healthcare Records through Hybrid Storage and Blockchain-Backed Audit Trails Azmiansyah Azmiansyah; Yan Watequlis Syaifudin; Cahya Rahmad; Josafat Pratama Susilo; Triana Fatmawati; Yuri Ariyanto; Pramana Yoga Saputra; Indrazno Siradjuddin; Chandrasena Setiadi
Journal of Evrímata: Engineering and Physics Vol. 04 No. 01, 2026
Publisher : PT. ELSHAD TECHNOLOGY INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70822/journalofevrmata.vi.140

Abstract

Ensuring the integrity and auditability of Electronic Health Records (EHRs) is critical for patient safety, regulatory compliance, and trust in digital healthcare. Conventional audit mechanisms such as database logs, are inherently mutable and vulnerable to insider tampering, failing to meet stringent requirements for tamper-proof, independently verifiable data provenance. To address this, this paper proposes and implements a hybrid EHR integrity system that combines PostgreSQL for sensitive clinical data storage with a private Hyperledger Fabric blockchain for immutable audit logging. Only lightweight metadata and SHA-256 hashes of records (not full EHRs) are written to the blockchain, preserving privacy while enabling cryptographic verification. Deployed on modest, heterogeneous hardware and featuring a user-friendly web interface with batched audit workflows, the system achieves 100% tamper detection accuracy, 210 ms average write latency, and 45 TPS throughput that demonstrates feasibility for real-world, resource-constrained clinical environments. Our approach delivers strong, scalable data integrity without prohibitive overhead, bridging the gap between regulatory demands and practical healthcare IT deployment.