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All Journal Jurnal Inotera International Journal of Applied Mathematics, Sciences, and Technology for National Defense
Muhammad Ario Eko Rahadianto
Institut Teknologi Sumatera
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics

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Analisis Kesesuaian Lahan SPBU di Bandar Lampung Menggunakan Sistem Informasi Geografis Vanisa Aufa Maharani; Meraty Ramadhini; Misfallah Nurhayati; Muhammad Ario Eko Rahadianto; Een Lujainatul Isnaini
Jurnal Inotera Vol. 8 No. 2 (2023): July - December 2023
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol8.Iss2.2023.ID276

Abstract

Bandar Lampung is identified as one of the densely populated urban center in Indonesia. As the population increases, the ownership of motorized vehicles using gasoline is also on the rise. This has led to a growth in the construction of fuel stations, which needs to be examined from various aspects, one of which is land suitability. This research aims to identify the distribution of fuel stations, determine the parameters used, and analyze the level of suitability of fuel stations in Bandar Lampung. The spatial data used in this study includes the National Spatial Plan of Bandar Lampung for the period 2021-2041 and the coordinates of fuel stations in Bandar Lampung. Additionally, non-spatial data such as questionnaire results and field validations are also utilized. The methods applied are the Analytical Hierarchy Process (AHP) and overlay. Based on the results obtained, there are 33 fuel station scattered across 17 out of 20 districts in Bandar Lampung and there are three districts that do not yet have fuel stations namely Tanjung Karang Barat, Tanjung Karang Timur, and Teluk Betung Barat. The parameters used in this study are four: road function, distance between fuel stations, distance of fuel stations to residential areas, and areas prone to landslide disasters. The level of suitability of fuel stations is classified into three categories: highly suitable, suitable, and less suitable. Out of the 33 fuel stations, 32 are classified as very suitable, and 1 is classified as suitable.
Modeling built-up land dynamics to support spatial resilience and national defense planning in Lampung province Tika Widayanti; Muhammad Ario Eko Rahadianto; Een Lujainatul Isnaini; Rizky Ahmad Yudanegara
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol. 4 No. 2 (2026): International Journal of Applied Mathematics, Sciences, and Technology for Nati
Publisher : FoundAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def.v4i2.1453

Abstract

Background: The expansion of built-up areas in Lampung Province has continued alongside population growth and economic development. This expansion has the potential to reduce productive land, intensify environmental pressure, and create significant challenges for spatial planning. Consequently, understanding the factors that influence built-up land expansion is essential to supporting sustainable regional planning and development. Aims: This study investigates the dynamics of built-up land expansion in Lampung Province through an integrated analysis of remote sensing data and panel data. Method: The study employed a panel data approach combining time-series observations spanning 2014 to 2024 with cross-sectional data drawn from 15 regencies and municipalities in Lampung Province. The dependent variable was the extent of built-up land (Y), derived from remote sensing image classification. The explanatory variables consisted of the number of schools (X1), the Human Development Index (HDI) (X2), and road length (X3). The school variable encompassed educational institutions across all levels. Data on HDI and the number of schools were obtained from BPS-Statistics Indonesia for Lampung Province. Road length was estimated from Landsat and Sentinel-2 satellite imagery through road digitization and geometric attribute analysis conducted within a Geographic Information System (GIS)-based analytical framework. Result: The results demonstrate that remote sensing provides comprehensive information on built-up areas and road networks, which can be effectively incorporated into panel data analysis. FEM produced an R-squared value of 0.984050, suggesting that the explanatory variables collectively explain approximately 98.41% of the variation in built-up land area. Conclusion: The findings indicate that built-up land expansion is associated with socioeconomic and infrastructure-related factors. The Fixed Effects Model reveals that HDI and road length have significant positive effects on built-up area, while the number of schools exhibits a negative effect. These results suggest that improvements in human development and regional accessibility are associated with the expansion of built-up areas, whereas the negative relationship with the number of schools may reflect prevailing patterns in the distribution of educational facilities and regional service provision. 
Co-Authors Een Lujainatul Isnaini Meraty Ramadhini Misfallah Nurhayati Tika Widayanti Vanisa Aufa Maharani Yudanegara, Rizky Ahmad