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RESURGO: A Web-based Human Resources Management System of OLSHCO

Carl John Yasay, Jayson Paderan, John Vincent Prado, John Wendell Rivera, Mharco Angelo Vista, Jhon Henrick Lucas, Vladimir Figueroa
Psychology and Education: A Multidisciplinary Journal · 2025-05-02 · DOI 10.70838/pemj.360706
Token #5066
✓ Verified on SciChain. The record below hashes to exactly the content hash stored on chain for token #5066.
Token#5066 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0xb616490b90475d6cc87e4ede74023f3b11efc35b7061199b3b5d4b380f10d89f · block 12104859
Minted2026-10-02 04:20 UTC
Hash on chain0x0372a517968b2a82f777846cca901a3f580d66154bd5ee9d052e263d2fdba7d1
SHA-256 of the record0x0372a517968b2a82f777846cca901a3f580d66154bd5ee9d052e263d2fdba7d1
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Carl John Yasay 0x700E11A8…9d4AEa 128,574 128,574
Jayson Paderan 0xa7F36833…482395 128,571 128,571
John Vincent Prado 0x42C86f71…cB2675 128,571 128,571
John Wendell Rivera 0x2Dfa626a…bF6271 128,571 128,571
Mharco Angelo Vista 0xA04DC6c5…6ED092 128,571 128,571
Jhon Henrick Lucas 0x53f9Db42…689CfC 128,571 128,571
Vladimir Figueroa 0xbD6A29D2…57db65 128,571 128,571

The anchored record

Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain.

{"abstract":"Higher education institutions face mounting challenges in managing human resource processes efficiently. To address this need, researchers developed RESURGO, a web-based Human Resource Management System (HRMS) for Our Lady of the Sacred Heart College of Guimba. This innovative system automates key HR functions including recruitment, attendance tracking, employee management, and payroll processing. Following a descriptive-developmental research design and Scrum methodology, the system was developed through iterative phases from planning to maintenance. Evaluation results demonstrated RESURGO's strong performance, with IT professionals rating it excellent (overall mean = 4.28/5) across ISO 25010 quality standards, particularly in performance efficiency (4.43) and usability (4.37). Employee evaluations were even more positive (overall mean = 4.49/5), with highest scores for system usage (4.56), behavioral intention to use (4.53), and perceived usefulness (4.48). The system significantly reduced manual workloads while improving operational accuracy, with users praising its intuitive design and time-saving benefits. While the results confirm RESURGO's effectiveness in transforming HR management, the study identified opportunities for further refinement to enhance features like security (4.10) and maintainability (4.25). This research demonstrates how institution-specific digital solutions can successfully modernize HR workflows in academic settings when combining technical robustness with user-centered design principles.","abstract_source":"original","authors":["Carl John Yasay","Jayson Paderan","John Vincent Prado","John Wendell Rivera","Mharco Angelo Vista","Jhon Henrick Lucas","Vladimir Figueroa"],"date":"2025-05-02","doi":"10.70838/pemj.360706","id":5066,"issue":7,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"3b52cd7683efba2b6473c85e100dcf0b7e2d8fdbf6095cf4be2adf7108e46b2b","schema":"scimatic-article/1","title":"RESURGO: A Web-based Human Resources Management System of OLSHCO","volume":36}

Check it yourself

1. The record, from the token's own metadata:

printf '%s' "$(curl -s https://scimatic.org/nft/articles/5066.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(5066)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c29000000000000000000000000000000000000000000000000000000000000013ca"},"latest"]}'

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