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All Journal Jurnal Sains Natural IJASDS: Indonesian Journal of Applied Statistics and Data Science
Istiqomah, Nisa Ul
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Chemical Engineering, Chemistry & Bioengineering Economics, Econometrics & Finance Environmental Science Mathematics Nursing Physics Public Health Social Sciences

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Faktor-Faktor yang Memengaruhi Minat Belanja Mahasiswa Kota Mataram pada Live Produk di Tiktok dan Shopee Zulhan Widya Baskara; Graha, Syifa Salsabila Satya; Istiqomah, Nisa Ul; Wulandari, Ika; Asmawati, Ismi; Baskara, Zulhan Widya; Putri, Dina Eka
Indonesian Journal of Applied Statistics and Data Science Vol. 2 No. 1 (2025): Mei
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijasds.v2i1.6913

Abstract

The development of live shopping on the Shopee and TikTok platforms has changed consumer shopping behavior, including students in Mataram City. This study has two main objectives. The first objective is to identify eight independent variables that influence college students' shopping interest when Live shopping on the two platforms, which are analyzed using multiple linear regression. The second objective was to examine the relationship between shopping decisions and shopping interest using correlation analysis, which focused specifically on these two variables due to their significant relationship in the context of consumer action. Data was collected through a questionnaire that was tested for validity and reliability, with a Cronbach's Alpha value of 0.95 which indicates a high level of consistency. The results of the classical assumption test show that the model meets the assumption of multicollinearity, but does not meet the assumptions of normality and homogeneity. Multiple linear regression shows an R value of 0.75, which indicates a strong relationship between the independent variables and the shopping interest of respondents. Substantial factors that influence shopping interest include interaction and engagement, product quality and variety, and shopping satisfaction when Live. Meanwhile, price, influencer participation, time constraints, gender, and platform did not show a substantial influence.
Analysis of Land Cover Change 2015-2023 in Bima Regency Using Google Earth Engine Asmawati, Ismi; Wulandari, Ika; Istiqomah, Nisa Ul; Robbaniyyah, Nuzla Af'idatur; Ulfa, Kurnia; Alfian, Muhammad Rijal
Jurnal Sains Natural Vol. 4 No. 1 (2026): Februari
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jsn.v4i1.843

Abstract

Land cultivation is one of the activities related to land conversion, this conversion is an activity to change part or all of the land function into other functions. Bima Regency is one of the areas that has experienced land cover change. The research aims to analyze land cover in Bima Regency using Landsat Centinel-2A on the GEE platform. GEE is an alternative to image processing because it allows users to access and analyze large amounts of geospatial data with high efficiency. Land area data is obtained on the platform using the NDVI method, then the accuracy test with the help of the Python programming language, the accuracy results for land cover 2015-2016, 2016-2017, 2017-2018, 2018-2019, 2019-2020, 2020-2021, 2021-2022, 2022-2023 Overall accuracy are 9.73%, 34.12%, 14.61%, 10.77%, 4.95%, 12.72%, 72.5%, 0.06% respectively. Based on the results of the study, land cover change in Bima District did not occur significantly, where there was a change in land cover below 25% in 2015 to 2023, except in 2016-2017 and 2021-2022. The low accuracy value indicates the limitations of simple NDVI-based classification methods in detecting detailed land cover changes. Therefore, the results of this study need to be understood in the context of the limitations of the method and can be used as a basis for developing more complex methods in future studies.
Co-Authors Asmawati, Ismi Dina Eka Putri Graha, Syifa Salsabila Satya Ika Wulandari Muhammad Rijal Alfian Robbaniyyah, Nuzla Af'idatur Ulfa, Kurnia Zulhan Widya Baskara