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LAND ACQUISITION ESTIMATE FOR THE BANDUNG INTRA-URBAN TOLL ROAD (BIUTR) CONSTRUCTION PROJECT Asyari, Ahmad Syuhada Islami; Muhammad, Garda Asa; Sari, Dian Apita; Kinesti, Ginaris; Suranata, Pasya; Somantri, Lili; Anggraini, Tania Septi
Elipsoida : Jurnal Geodesi dan Geomatika Vol 8, No 2 (2025): Volume 08 Issue 02 Year 2025
Publisher : Department of Geodesy Engineering, Faculty of Engineering, Diponegoro University,Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/elipsoida.2025.27576

Abstract

The Bandung Intra-Urban Toll Road (BIUTR) serves as the government's initiative to address persistent traffic congestion in Metropolitan areas. However, A critical challenge in realizing this infrastructure is the land acquisition phase, which demands precise estimates and a comprehensive approach. This research aims to calculate the extend and monetary value of land impacted by the construction of BIUTR using a Geographic Information System (GIS) approach and spatial modeling. The research was conducted by establishing a 60-meter buffer zone on both sides of the toll road route as a road space. The  analytical indicate that the BIUTR project will cross 14 sub-districts in Bandung City with a total affecting a total land area of 3,503,671.63 m² and with compensation value of more than IDR 70 trillion. Several sub-districts such as Cinambo, Cibeunying Kidul, and Cibeunying Kaler have high compensation values due to high land values and residential density. Result from his research highlight the necessity of conducting on fostering community engagement to develop a land acquisition strategy that is fair, efficient and minimize potential conflicts. emphasizes the importance of field verification and community participation in formulating a fair, efficient, and conflict-free land acquisition strategy. Keywords : Toll road, land acquisition, GIS, land value estimation, Bandung
Spatial Modelling of the Relationship Between the Characteristics of Vegetation Index, Life Expectancy and Fertility Rate in Banten Province Asyari, Ahmad Syuhada Islami; Sumirah, Diana; ., Syaefunnisa; Fadhilah, Achmad; Putra, Andika Permadi
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.659

Abstract

Rapid urbanization in Banten Province has reduced green open spaces, impacting environmental sustainability and demographic dynamics. This study analyzes the spatial relationship between vegetation index, life expectancy (LE), and total fertility rate (TFR) using Landsat 8 imagery (2020–2024) and demographic data from the Central Bureau of Statistics (BPS). The vegetation index, measured using the Normalized Difference Vegetation Index (NDVI), was examined alongside LE and TFR through Pearson correlation and Moran’s I spatial autocorrelation. The results indicate a moderate negative correlation between NDVI and LE (r = -0.561, p < 0.05) and a strong negative correlation between LE and TFR (r ? -0.94). Urban areas such as Tangerang City and South Tangerang City, despite having low vegetation cover, recorded higher LE due to adequate healthcare access. Conversely, rural areas with greater vegetation tended to have lower LE. Spatial analysis identified urban centers as hotspots with high LE, while rural regions appeared as coldspots. These findings confirm that healthcare access and socioeconomic factors can compensate for limited vegetation, while demographic transitions contribute to fertility decline, ultimately supporting sustainable development in Banten Province.
Utilization of Sentinel-2 Imagery in Analyzing the Effect of Land Conversion on Water Turbidity in Situ Cileunca Asyari, Ahmad Syuhada Islami; Muhammad, Garda Asa; Amaanah, Annisa; Anandita, Azra Putri; Husna, Calsya Aulia Nursyabia; Sugandi, Andita Nadia; Hidayat, Maitsa Aulia; Fitra, Syahrul Jud; Irawan, Gerald Bian; Anggraini, Tania Septi; Fadhilah, Achmad; Setiawan, Iwan; Astari, Annisa Joviani
Rekayasa Hijau : Jurnal Teknologi Ramah Lingkungan Vol 10, No 1 (2026)
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

ABSTRAKAlih fungsi lahan menjadi salah satu penyebab peningkatan kekeruhan air di kawasan Situ Cileunca, DAS Cisangkuy. Penelitian ini bertujuan untuk menganalisis hubungan antara dinamika penggunaan lahan dan tingkat kekeruhan air menggunakan citra Sentinel-2 serta komparasi pada data interpolasi TDS. Kekeruhan air diestimasi melalui TSS hasil pengolahan citra dan interpolasi TDS. Pemetaan penggunaan lahan dilakukan melalui metode klasifikasi visual yang diuji indeks kappa, dengan akurasi 91.44%. Hasil pengolahan penggunaan lahan dan TSS diuji korelasi pearson untuk mengetahui pengaruhnya. Uji Korelasi Pearson menunjukkan bahwa ladang (R = -0,87) dan hutan (R = -0,66) berkontribusi dalam penurunan TSS, sementara permukiman (R = 0,53) berkorelasi positif terhadap peningkatan kekeruhan. Penelitian ini memberikan keterbaruan dalam menggambarkan distribusi zat padat terlarut melalui TS di Situ Cileunca. Temuan ini menjadi landasan peningkatan permukiman menyebabkan penurunan kualitas air, sehingga dapat dijadikan sebagai rekomendasi dalam mengambil keputusan dalam pengelolaan tata ruang, dan menanggulangi masalah lingkungan di Situ Cileunca.Kata kunci: Sentinel, TSS,, Alih fungsi lahan, TDSABSTRACTLand use conversion is one of the causes of increased water turbidity in the Situ Cileunca area within the Cisangkuy Watershed. This study aims to analyze the relationship between land use dynamics and water turbidity using Sentinel-2 imagery and comparison with interpolated TDS data. Water turbidity is estimated through TSS derived from image processing and TDS interpolation. Land use mapping is conducted using a visual classification method tested with the kappa index, achieving an accuracy of 91.44%. The processed land use and TSS data are analyzed using Pearson correlation to determine their influence. The Pearson correlation test shows that cropland (R = -0.87) and forest (R = -0.66) contribute to decreasing TSS, while settlements (R = 0.53) are positively correlated with increased turbidity. This study provides novelty in depicting the distribution of dissolved solids through TS in Situ Cileunca. These findings indicate that increasing settlements reduce water quality and can support decision-making in spatial planning and environmental management.Keywords: Sentinel, TSS,, Land use change, TDS