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Bakwit: A Mobile Application for Disaster-Prone Areas and Evacuation Centers Mapping Using Geographic Information Systems

Fiona Nicole Rigonan, Bryant Niepes, Precious Lara Cañon, Glarent Mae Ceniza, Elijah Matthew Ortega, Aleeson Loise Zaspa, Franz Mag-usara
Psychology and Education: A Multidisciplinary Journal · 2026-09-24 · DOI 10.70838/PEMJ.630105
Token #10831
✓ Verified on SciChain. The record below hashes to exactly the content hash stored on chain for token #10831.
Token#10831 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0xed8995136e049b2230d6d731a3b0f290848c0fa7525c4fecdb1f07f39efe9eda · block 12113281
Minted2026-10-02 16:02 UTC
Hash on chain0x1fcc026a9eed42f2e368954f115d8820389876b71a428059a1f3572beff2fb41
SHA-256 of the record0x1fcc026a9eed42f2e368954f115d8820389876b71a428059a1f3572beff2fb41
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Fiona Nicole Rigonan 0xB9ddfAF5…746fD5 128,574 128,574
Bryant Niepes 0xFa84D377…494148 128,571 128,571
Precious Lara Cañon 0x7Ab3FE1b…0647B0 128,571 128,571
Glarent Mae Ceniza 0xd7CbAe10…32742E 128,571 128,571
Elijah Matthew Ortega 0xCb3dDD1E…795a32 128,571 128,571
Aleeson Loise Zaspa 0xEbD20168…91e94D 128,571 128,571
Franz Mag-usara 0x2031287c…70C362 128,571 128,571

The anchored record

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

{"abstract":"The Philippines is highly vulnerable to natural disasters such as typhoons, floods, landslides, and earthquakes, highlighting the need for accessible and reliable disaster information. This study employed a descriptive-developmental research design to develop and evaluate BAKWIT, a Geographic Information System (GIS)-based mobile application that maps disaster-prone areas and evacuation centers in Barangay Banilad, Mandaue City. The application integrates spatial data, hazard maps, and verified evacuation center locations to provide residents, Local Government Units (LGUs), and emergency responders with real-time, location-based information for safer and more efficient evacuations. Key features include hazard zone identification, navigation tools, directions to evacuation centers, detailed evacuation center information, and emergency contact access. The study involved 33 purposively selected respondents composed of barangay officials and staff, Emergency Response Team (ERT) members, residents, and software developers. Data were analyzed using the Weighted Mean to evaluate user responses and Spearman's rho correlation to determine the relationship between the application's profile and user satisfaction. Results indicated favorable user evaluations across all Technology Acceptance Model (TAM) constructs. Perceived Usefulness obtained the highest weighted mean (4.40), followed by Behavioral Intention to Use (4.36), Perceived Ease of Use (4.26), and Attitude Toward Use (4.21), with an overall mean of 4.31, interpreted as \"Agree.\" Correlation analysis revealed that Attitude Toward Use had a statistically significant positive relationship with user satisfaction (ρ = 0.699, p = 0.025), whereas Perceived Usefulness (ρ = 0.253, p = 0.481) and Perceived Ease of Use (ρ = −0.465, p = 0.176) showed no statistically significant relationships. These findings suggest that BAKWIT is a feasible tool for strengthening disaster preparedness and supporting disaster risk reduction and management (DRRM) initiatives. However, its reliance on internet connectivity may limit its effectiveness during network disruptions, highlighting the need for future enhancements that support offline functionality.","abstract_source":"original","authors":["Fiona Nicole Rigonan","Bryant Niepes","Precious Lara Cañon","Glarent Mae Ceniza","Elijah Matthew Ortega","Aleeson Loise Zaspa","Franz Mag-usara"],"date":"2026-09-24","doi":"10.70838/PEMJ.630105","id":10831,"issue":1,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"4302ee326f938e6249bd4717b1b73456725acd742f655bb99face561c1a8cb5e","schema":"scimatic-article/1","title":"Bakwit: A Mobile Application for Disaster-Prone Areas and Evacuation Centers Mapping Using Geographic Information Systems","volume":63}

Check it yourself

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

printf '%s' "$(curl -s https://scimatic.org/nft/articles/10831.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(10831)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000002a4f"},"latest"]}'

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