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All Journal Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS)
Pradani, Winangsari
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Humanities Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

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A Knowledge-Based Stress Diagnosis System Using the Certainty Factor Approach and DASS-42 Psychological Indicators Pradani, Winangsari; Hani, Syarifah; Rahmawati, Siti; Jamal, Ade; Arniaty Arsyad, Andi
Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) Vol 5, No 1 (2025): InPress
Publisher : UniversitasAl Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/psn.v5i1.5018

Abstract

Stress is a natural physiological and psychological response to everyday demands, yet chronic stress can impair cognitive functioning, emotional regulation, sleep quality, social interaction, and academic or occupational performance. Access to mental health professionals remains limited and early detection is crucial. To address this issue, this study developed a Depression, Anxiety, and Stress Scale-42 (DASS-42)–based expert system for stress diagnosis using the Certainty Factor (CF) method. A key contribution of this work is the active involvement of licensed psychologists in knowledge elicitation, rule construction, symptom weighting, and iterative validation, ensuring clinical accuracy, reliability, and interpretability. The system underwent functional, usability, and diagnostic testing. Black Box Testing confirmed full feature performance (100%), indicating strong system stability. Usability evaluation using the System Usability Scale (SUS) produced a score of 78.375 (Grade B+, “Good”), with the highest acceptance among students and employees, and lower ratings from users with limited digital literacy. Diagnostic validation using 20 test cases assessed by two certified psychologists yielded an average accuracy of 87.5%, showing strong agreement between system results and expert judgment. These findings demonstrate that CF-based reasoning effectively models clinical evaluation of 13 stress indicators from DASS-42, indicating the system’s feasibility a reliable early stress-screening tool.Keywords— Certainty Factor, DASS-42, Expert System, Mental Health Screening, Stress Diagnosis
Design and Implementation of a Blockchain-based Shipment Tracking Proof-of-Concept for Academic Application Arsyad, Andi Arniaty; Safitri, Riri; Pradani, Winangsari; Nurbojatmiko, Nurbojatmiko; Abdullah, Abdullah
Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) Vol 5, No 1 (2025): InPress
Publisher : UniversitasAl Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/psn.v5i1.5053

Abstract

The demand for secure, transparent shipment tracking is rising as digital logistics advances. Traditional centralized tracking systems face issues such as data delays and manipulation, which reduce trust and accuracy. This research aims to create a blockchain-based shipment-tracking system that serves as both a prototype and an educational tool for students. The system features a user interface built with Vue.js and utilizes a middleware layer with Node.js and Express.js. A smart contract in Solidity is deployed on a local Ethereum network using the Hardhat framework. This prototype allows students to engage with decentralized application development and explore interactions among front-end components, middleware, and smart contracts. Each transaction is recorded immutably, with an average gas consumption of about 175,000 units and execution times under 2 seconds, while preventing duplicate shipments. This research offers a functional shipment-tracking model that provides transparent data recording and serves as an effective framework for blockchain education, bridging theoretical concepts with practical applications in higher education.Keywords – Academic Application, Blockchain, Shipment Tracking, Smart Contract, Solidity.
Co-Authors Abdullah Abdullah Arniaty Arsyad, Andi Arsyad, Andi Arniaty Hani, Syarifah Jamal, Ade Nurbojatmiko Nurbojatmiko, Nurbojatmiko Safitri, Riri Siti Rahmawati