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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Impresi Indonesia Jurnal Locus Penelitian dan Pengabdian Journal of Innovation Research and Knowledge
Pamungkas, Hedy
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Religion 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

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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

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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

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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
Digital Transparency System Requirements Analysis for Indonesia's Free Nutritious Meal Program: A Blockchain Approach Pamungkas, Hedy; Andhika, Andhika
Jurnal Impresi Indonesia Vol. 4 No. 8 (2025): Indonesian Impression Journal (JII)
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i8.6968

Abstract

While Indonesia's Free Nutritious Meal Program reaches 82.9 million beneficiaries with a budget of Rp71 trillion a year, it is plagued by transparency challenges in coordinating thousands of vendors and schools across the nation. This study proposes a Multi-stakeholder Transparency Requirement Framework, which systematically incorporates blockchain to fill key information loopholes. The study employed a mixed-methods exploratory sequential design, with semi-structured interviews with 10 stakeholders spanning government, vendor, school, and audit representatives, and document analysis of 58 regulatory and evaluation materials from 2020–2024. This streamlines maximized litany of operational constraints: 85% faced retraction and starkings in real time monitoring with information lagged of 3– 4 days, 89% needed manual amalgamation to data desk of 15– 20 hrs each week to take a call and 92% of felonious results of surveilance relied on tank bag I. By applying MoSCoW, it prioritized 26 requirements to where each were mapped 1:1 with 47 smart contract functions across six core contracts. On the distributed ledger side, the blockchain prototype implementation on Polygon zkEVM exhibited technical feasibility, offering transaction costs lower than $0.01, a processing speed varying from 50 to 200 transactions per second, and a gas reduction of 46.5% from baseline consumption levels. Validated by the stakeholders, it transformed the response time of the government from 72–96 hours to less than 5 minutes, the vendor payment delays were reduced from 14–21 days to less than 24 hours, and the audit processing times improved by 60%. It translates the principles of transparency into something actionable in the context of large-scale social programs, which often struggle with similar corruption-related challenges, and within which the diverse initiatives, such as those illustrated, can be replicated in a systematic manner in the developing world. To enhance the broader utility of the framework, future research should examine its applicability across programs and validate it in multiple regions.
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 Andhika Andhika, Andhika Mochammad Hannats Hanafi Ichsan Neta, Fandy Sabriansyah Rizqika Akbar