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Engineering, Mathematics and Computer Science Journal (EMACS)
Published by Universitas Bina Nusantara
ISSN : -     EISSN : 26862573     DOI : https://doi.org/10.21512/emacs
Core Subject : Science, Education, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mathematics
Engineering, MAthematics and Computer Science (EMACS) Journal invites academicians and professionals to write their ideas, concepts, new theories, or science development in the field of Information Systems, Architecture, Civil Engineering, Computer Engineering, Industrial Engineering, Food Technology, Computer Science, Mathematics, and Statistics through this scientific journal.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 2 Documents
 1 
Search results for , issue "Vol. 8 No. 1 (2026): EMACS (In Press)" : 2 Documents clear
Web-Based Quality Control Dashboard Design for Data Validation and Monitoring: A Case Study of BMKG Instruments Purwandari, Kartika; Aufauzan, Brian Tirafi; Sigalingging, Join Wan Chanlyn
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 8 No. 1 (2026): EMACS (In Press)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v8i1.13532

Abstract

Accurate meteorological data are vital for the operational activities of the Agency for Meteorology, Climatology, and Geophysics (BMKG), specifically for weather forecasting and disaster mitigation. However, Automatic Weather Station (AWS) instruments frequently encounter sensor degradation and technical malfunctions, which compromise data validity. Traditional manual validation is inefficient and prone to human error. This study addresses these gaps by designing a web-based Quality Control (QC) dashboard for real-time AWS data monitoring. Developed using the Laravel framework and PostgreSQL, the system integrates Leaflet.js and Chart.js for interactive spatial and analytical visualization. Using the Agile Scrum methodology, the development process was iteratively refined across eight sprints. Implementation results show a significant improvement in data validation accuracy and a reduction in potential human error. User Acceptance Testing (UAT) with fifteen BMKG specialists confirms high usability, with the system receiving "Strongly Agree" ratings for its efficiency in real-time monitoring and reporting. The practical implications include enhanced data credibility for national climate modeling. This paper concludes that while the dashboard streamlines workflows, future iterations should incorporate automated anomaly detection algorithms. Limitations include a current reliance on static validation thresholds, suggesting a need for machine learning integration in future research.
Measuring Student Satisfaction with Academic Applications at BINUS University Through the Customer Satisfaction Score (CSAT) Framework Fransisco, Mario
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 8 No. 1 (2026): EMACS (In Press)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v8i1.14540

Abstract

This study examines student satisfaction with four key academic applications used at BINUS University: BinusMaya, Neksus Semester Plan, Thesis App, and the Library App which play a central role in supporting learning activities, academic administration, and access to academic resources. The study applies the Customer Satisfaction Score (CSAT) framework, a widely used approach for evaluating user satisfaction with system quality, usability, and performance. The CSAT evaluation is adapted to the functional characteristics of each application. Thesis App, BinusMaya, and Neksus Semester Plan, which directly support core academic processes, are assessed using four dimensions: fulfilment, efficiency, system availability, and accuracy. Meanwhile, the Library App, which functions as a supporting academic resource platform, is evaluated using ease of use, features and functionality, and system performance. A quantitative descriptive approach was employed, with data collected through an online survey conducted between July and September 2025. A four-point Likert scale was used to encourage clear evaluative responses, and the sample size was determined using Slovin’s formula. The findings indicate that students generally report positive satisfaction across all applications. Thesis App performs strongly in terms of efficiency and accuracy, while the BinusMaya shows high satisfaction in fulfilment. Neksus Semester Plan receives favourable evaluations in efficiency but faces responsiveness challenges during peak usage periods. Library app is positively rated for its features, although improvements are needed in system performance and interface consistency. Overall, the results suggest that BINUS University’s academic applications effectively support student activities, while also highlighting the importance of continuous system improvement.

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