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All Journal Inspiration: Jurnal Teknologi Informasi dan Komunikasi Journal of Vocational, Informatics and Computer Education
Dewiani
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Computer Science & IT Education

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Quality Instrument is Focused Reusability For Academic Information Systems Software Sulistiani, Ino; Syafruddin Syarif; Yusran; Dewiani
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2023): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v13i1.3

Abstract

The usability-focused IS quality instrument is a conceptual model of a quality instrument that implements and focuses on standardizing usability behavior in a website software-based academic information system. Quality Structure along with Quality Factors and Quality Model Questionnaire Method which consists of the Basic Quality Questionnaire Method for AISS, Basic Quality Model Questionnaire Method and Usability Questionnaire Method are the research methods used. The purpose of this study is to propose an IS quality instrument that focuses on usability as a quality instrument that determines usability behavior in academic information system software, namely understandability, learnability, operability, attractiveness, and usability compliance. The usability-focused IS quality instrument is one of the quality assurance software quality instruments that has a high level of reliability and is required in every academic information system (AISS) software. So that a quality instrument is needed as a determinant of the quality of academic information system software that implements the quality model as an instrument system.
Integrating IoT-UAV Sensing with Sentinel-2 NDVI-NDBI Indices for Urban Air Quality Monitoring in Makassar Samad, Putri; Dewiani; Omar, Hamdan
Journal of Vocational, Informatics and Computer Education Vol 4, No 1 (2026): March 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.477

Abstract

Purpose - Urban air pollution in rapidly developing cities like Makassar requires high-resolution monitoring through IoT-UAV sensing and Remote Sensing to capture localized dynamics effectively. This study proposes and evaluates a multi-scale framework that integrates real-time mobile aerial sensing with Sentinel-2 satellite imagery and NDVI-NDBI indices to analyze how urban morphology modulates air pollutant distribution within the urban canopy layer. Methods - Air quality metrics (CO₂, PM2.5, and VOCs) were monitored at five urban sites in Makassar at three time intervals (08:00, 12:00, 16:00). Data were collected using vertical profiling from 1–20 m with 30-second sampling at each meter, generating over 5,000 data points. NDVI and NDBI were derived from Sentinel-2 L2A imagery (September 2024) using QGIS 3.34, and spatially validated by overlaying UAV coordinates to assess the influence of infrastructure density. Findings - The results identify the KIMA industrial estate and Jl. A.P. Pettarani highway as primary pollutant hotspots (ANOVA, p<0.001). These zones correlate strongly with high urban density (NDBI > 0.24) and minimal green canopy (NDVI < 0.13), confirming that dense infrastructure and the lack of vegetative carbon sinks drive localized pollutant accumulation. Vertical profiles demonstrate a negative concentration gradient, identifying atmospheric stability as a critical factor in surface-level pollutant stagnation. Research Implication - This multi-scale approach provides urban planners with a robust diagnostic tool for prioritizing green infrastructure. However, this study is limited by its single-city scope and a specific temporal window in September 2024. Future research should incorporate seasonal variations across monsoon cycles to evaluate long-term dispersion and washout patterns. Originality – This study contributes a novel synthesis bridging mobile aerial sensing with macro-level satellite indices, revealing a direct spatial correlation between urban structural density and pollutant stagnation that independent ground sensors or macro-satellites cannot detect independently
Co-Authors Ino Sulistiani, Ino Omar, Hamdan Samad, Putri Syafruddin Syarif Yusran