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PENGUKURAN KUALITAS WEBSITE E-LEARNING UNIVERSITAS ISLAM NEGERI SUMATERA UTARA MENGGUNAKAN METODE WEBQUAL 4.0 Ulfa Fadilah; Triase Triase; Raissa Amanda Putri
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 7 No. 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2364

Abstract

Abstract: This research uses the webqual 4.0 model which corrects the three variables usability, information quality, service interaction quality and an additional variable, namely overall impression. This research aims to improve the quality of website services and e-learning website services at the State Islamic University of North Sumatra. The research sample consisted of 365 people, where the sample was taken using simple random sampling with a youth table. Data was collected through a questionnaire containing statements about user perceptions of the website. This data will be used to obtain the Webqual Index value which is used to determine the service quality value. The results of the webqual index value for each variable are usability of 0.85, information quality of 0.86, service interaction quality of 0.86 and overall impression of 0.85. The variables that most influence the service quality of the North Sumatra State Islamic University e-learning website in general for respondents are the information quality and service interaction quality variables with a webqual index of 0.86. The results of the webqual index measurement show that the quality of the e-learning website of the North Sumatra State Islamic University is very good with a webqual index value of 0.86.. Keywords: Website, Webqual, Information Quality, Usability Dan Service Interaction                  Quality, Overall Impression Abstrak: Model webqual 4.0 yang digunakan dalam penelitian ini mengoreksi tiga variabel yaitu usability, information quality, service interaction quality dan variabel tambahan yaitu overall impression. Tujuan dari penelitian ini adalah untuk meningkatkan standar layanan website e-learning UINSU. Sampel penelitian berjumlah 365 orang, dimana pengambilan sampelnya menggunakan simple random sampling dengan tabel yount. Data dikumpulkan dengan mensurvei pendapat pengguna tentang situs website. Nilai webqual index yang digunakan untuk menghitung nilai kualitas layanan yang diperoleh dari data. Hasil nilai webqual index masing-masing indikator adalah usability sebesar 0,85, information quality sebesar 0,86, service interaction quality sebesar 0,86 dan overall impression sebesar 0,85. Hasil pengukuran webqual 4.0 menunjukkan bahwa kualitas penyelenggaraan website e-learning UINSU berada pada nilai 0,86 yang berarti sangat baik dalam nilai webqual index. Kata kunci: Website, Webqual, Usability, Information Quality, Service Interaction Quality, Overall Impression
Android Geographic Information System with AHP for Strategic MSME Location Selection Ami Amanda; Triase Triase
Bigint Computing Journal Vol 4 No 2 (2026)
Publisher : Ali Institute of Reseach and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/bigint.v4i2.1851

Abstract

Strategic site selection for micro, small, and medium enterprises (MSMEs) requires transparent assessment of spatial and operational criteria. This study develops an Android geographic information system integrating the Analytic Hierarchy Process (AHP) and OpenStreetMap to screen 30 locations across 25 sub-districts in Asahan Regency, Indonesia. Five criteria were defined from literature, field observation, and consultation with one local-government practitioner. Accessibility received the highest weight (0.3333), followed by safety and comfort (0.2667), proximity to crowds (0.2000), infrastructure (0.1333), and local resources (0.0667). Sekitar Stasiun Kisaran ranked first (0.0391), only 0.0004 above the next two alternatives. The system links numerical priorities with interactive mapping and provides an auditable mobile workflow for preliminary location screening. However, CR = 0.000 results from deterministic ratio construction, not broad expert consensus, and the ranking should not be interpreted as a causal prediction of business performance.
Streamlit-Based Durian Yield Forecasting Using an ARIMA Model Nurul Ifkah Lolona Silalahi; Triase Triase
Bigint Computing Journal Vol 4 No 2 (2026)
Publisher : Ali Institute of Reseach and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/bigint.v4i2.1852

Abstract

Durian production in Dairi Regency, North Sumatra, fluctuates substantially across quarters, creating uncertainty for harvest planning and distribution. This study develops a lightweight decision-support system that integrates an AutoRegressive Integrated Moving Average (ARIMA) forecasting pipeline with a Streamlit web application. The source dataset contains 41,060 agricultural harvest records from 2020–2024, aggregated into 20 quarterly regional observations. The raw series was non-stationary according to the Augmented Dickey–Fuller test (ADF = −0.449, p = 0.901), while first-order differencing produced a stationary series (ADF = −4.120, p = 0.0009). Automated model search selected ARIMA (4,0,1), with AIC = 401.649 and BIC = 407.624. A chronological 80/20 holdout evaluation on the four quarters of 2024 produced an RMSE of 1.16 tons, MAE of 1.15 tons, and MAPE of 4.33%, recalculated from the reported quarter-level forecasts. The Streamlit implementation integrates data management, stationarity diagnosis, automated parameter selection, and forecast visualization. The results indicate that an interpretable ARIMA baseline can provide useful short-horizon regional forecasts when historical data are limited, although the short series requires cautious generalization and further validation.