Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Locus Penelitian dan Pengabdian Journal of Innovation Research and Knowledge
Pamungkas, Hedy
Unknown Affiliation
Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Implementasi Sistem Pengenalan Perangkat dan Layanan Sensor dan Aktuator pada Rumah Cerdas Berbasis Arsitektur Publish-Subscribe Hedy Pamungkas; Sabriansyah Rizqika Akbar; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1786.537 KB)

Abstract

Smart home is most popular because approach to human lifestyle but many challenges, such as difficult to use the device in terms connectivity, configuration and integrate between devices. This research using pervasive system who can solve these challenges because it can make the computing processs becomes doesn't feel and run automatically, so don't need to specify a set of device configuration. This system is designed into several parts of the sensor device, actuator and gateway. Sensor and actuator device will recognize their identity to gateway to register the devices using MQTT. Gateway will perform the process of making relationship between both devices based on same location and other identity parameter. Actuator device will perform a specific action based on sensor data. From the result of the testing, each device successfully recognize the identity to gateway and the gateway succeeded in making relationship, so both devices can communicate well. The actuator device successfully receive sensor data within same relation and succeeds to trigger action to lamp. The test result obtained 100% successful, so the pervasive system can be implemented in smart home using MQTT.
SELF-ADAPTIVE GENETIC ALGORITHM (SAGA) UNTUK OPTIMASI PENJADWALAN MATA KULIAH: INTEGRASI FUZZY LOGIC DAN COOPERATIVE COEVOLUTION Hedy Pamungkas; Fandy Neta
Journal of Innovation Research and Knowledge Vol. 5 No. 2: Juli 2025
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

University course timetabling in Indonesian higher education represents an NP-hard combinatorial optimization problem with O(n!) complexity affecting 4,500+ institutions. This research develops Self-Adaptive Genetic Algorithm (SAGA) integrating fuzzy logic and cooperative coevolution to address conventional genetic algorithm limitations. SAGA implements cooperative coevolution engine, fuzzy inference system, local search module, and parameter history tracking. Experiments with 1,000 runs on dataset comprising 55 courses, 280+ classes, 44 rooms, and 40 lecturers demonstrate SAGA achieves best fitness 106.850 with 98.9% constraint satisfaction, outperforming Local Search GA by 9.8%. Significant trade-offs including 31-minute execution time and high variability (CV 8.59%) limit practical applications. Algorithm selection framework recommends SAGA for 5% critical cases and Local Search GA for 95% daily operations, demonstrating that algorithmic sophistication does not correlate linearly with practical applicability
Comparative Cost Efficiency Analysis of Smart Contracts: A Supply Chain Case Study on Polygon zkEVM Pamungkas, Hedy
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 9 (2025): : JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i9.4803

Abstract

This paper presents the findings of research that addresses the primary economic barrier preventing blockchain adoption in supply chain management. While blockchain technology has the potential to deliver revolutionary benefits to supply chains, the non-viable nature of Ethereum's on-chain usage, with gas fees of $20.40 to $36.57 per transaction, represents a significant economic cost to enterprises, becoming an insurmountable obstacle, especially in emerging markets. The research employs a radical empiricism approach, systematically measuring the gas cost of over 300 independent test transactions for recording the flow of product materials, validating new vendors, and tracking distributed items against three modular smart contracts: a master contract and two interchangeable module contracts. The identical sets of contracts are deployed across the testing environment of the Polygon zkEVM mainnet, Polygon Cardona testnet, and Ethereum Sepolia testnet, with significance supported at p < 0.01 through a two-tailed t-test. The findings of the research demonstrated that the analyzed network, Polygon zkEVM, was able to demonstrate a 99.90% reduction of costs, from $143.25 to $0.14 for deployment costs and from $8.25 to $0.008 per transaction. The implementation options provide Polygon zkEVM with an extra 46.5% decrease in costs through the use of gas pricing as a determining factor in optimization, as well as an additional 90.9% decrease in costs through operational optimization, as the assessed costs remain less than 0.10% of the generated revenue, meeting the defined economic viability threshold for a need to process 500 transactions daily by an SME in Indonesia.
Co-Authors Mochammad Hannats Hanafi Ichsan Neta, Fandy Sabriansyah Rizqika Akbar