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All Journal Tensor: Pure and Applied Mathematics Journal Integra: Journal of Integrated Mathematics and Computer Science
Loves, Luvita
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Computer Science & IT Mathematics

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The Total Disjoint Irregularity Strength of a Double and Triple Star Graphs Tilukay, Meilin Imelda; Titawanno, Tasya I.; Leleury, Zeth Arthur; Taihutu, Pranaya Dharia M.; Loves, Luvita
Tensor: Pure and Applied Mathematics Journal Vol 5 No 2 (2024): Tensor: Pure and Applied Mathematics Journal
Publisher : Department of Mathematics, Faculty of Mathematics and Natural Sciences, Pattimura University, Ambon, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tensorvol5iss2pp105-110

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Analysis of the Relationship Between Library Services and Education Factors on the Community Literacy Development Index Using Path Analysis Benaya; Marga, Diva Aura; Banisa, Rizkia Syefira; Yuniar; Loves, Luvita
Integra: Journal of Integrated Mathematics and Computer Science Vol. 1 No. 1 (2024): March
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.2024118

Abstract

The application of Path Analysis for causal modelling is widely used in various fields of study, one of which is education. Path Analysis is applied to test the relationship model between variables: CLDI (Community Literacy Development Index) (Y0), library service equity (X1), library collection adequacy (X2), library staff adequacy ratio (X3), community visit rate per day (X4), and education completion rate (X5). In addition, the adequacy of the library collection (X2), the level of community visits (X4), and the level of education completion (X5) significantly affect the CLDI (Y0). The combination of library and education service variables explained 70.19 per cent of the variation in CLDI. This study concludes the importance of synergy between libraries and education in improving community literacy and recommends strengthening literacy programmes based on library services and quality education.
Application of GSTARMA Spatial-Temporal Model for Inflation Analysis in South Sulawesi Province Sari, Dede Ratna; Widiarti; Nurvazly, Dina Eka; Usman, Mustofa; Loves, Luvita
Integra: Journal of Integrated Mathematics and Computer Science Vol. 1 No. 3 (2024): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20241322

Abstract

The Generalized Space-Time Autoregressive Moving Average (GSTARMA) model is a development of the time series model that can capture both spatial and temporal dynamics simultaneously. This study uses the GSTARMA model to analyze inflation data in five cities in South Sulawesi Province from January 2017 to October 2024. The GSTARMA model obtained is GSTARMA (1,0,1) with a cross-correlation normalization spatial weight matrix. The results of the analysis indicate a spatial influence between locations and temporal relationships in the inflation data.
Co-Authors Banisa, Rizkia Syefira Benaya Dina Eka Nurvazly, Dina Eka Marga, Diva Aura Meilin Imelda Tilukay Mustofa Usman Sari, Dede Ratna Taihutu, Pranaya Dharia M. Titawanno, Tasya I. Widiarti Yuniar Zeth Arthur Leleury, Zeth Arthur