Andre Kusuma Putra
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KUAT TARIK BELAH BETON GEOPOLYMER BERBASIS ABU TERBANG (FLY ASH) Putra, Andre Kusuma; Wallah, Steenie E.; Dapas, Servie O.
JURNAL SIPIL STATIK Vol 2, No 7 (2014): JURNAL SIPIL STATIK
Publisher : JURNAL SIPIL STATIK

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Abstract

Beton yang tersusun dari komposisi utama agregat kasar, agregat halus, air, dan Semen Portland (SP) menjadi material yang sangat penting dan banyak digunakan untuk membangun berbagai infrastruktur, namun dalam proses produksi Semen Portland terjadi pelepasan karbon dioksida (CO2) yang cukup besar ke atmosfir yang dapat merusak lingkungan, untuk itu diperlukan material lainnya sebagai pengganti Semen Portland untuk digunakan pada pembuatan beton. Beton Geopolymer merupakan salah satu alternatif untuk mengatasi masalah penggunaan semen yang kurang ramah lingkungan dalam proses produksinya. Dalam penelitian ini beton geopolymer dibuat tanpa menggunakan semen sebagai bahan pengikat, dan sebagai pengganti digunakan abu terbang (fly ash) yang mengandung silika dan alumina yang akan bereaksi dengan cairan alkalin untuk menghasilkan bahan pengikat (binder). Pada penelitian ini kuat tarik beton pada umur tujuh hari diuji melalui tes kuat tarik belah. Material yang digunakan adalah abu terbang (fly ash) asal PLTU Amurang, sodium silikat, sodium hidroksida dengan konsentrasi 8M, dan Superplastisizer Viscocrete-10. Benda uji yang digunakan adalah silinder ukuran 10/20 cm, dengan metode curing menggunakan oven dengan variasi curing time 4, 8, 12, dan 24 jam masing-masing 6 sampel. Nilai maksimum rata-rata kuat tarik belah beton geopolymer berbasis fly ash dalam penelitian ini sebesar 1,685 MPa didapatkan pada variasi curing time 24 jam menggunakan oven dengan umur saat tes 7 hari. Dan jika dibandingkan dengan kuat tekannya menghasilkan nilai . Dari variasi curing time tersebut dapat dilihat bahwa semakin lama curing time maka semakin besar kuat tarik yang dihasilkan. Kata kunci: beton geopolymer, fly ash, beton ramah lingkungan, kuat tarik belah, curing time
Correlation Between Land-Use Change and Runoff Coefficients in Priority Watersheds: Analysis of BPS Statistical Data and Landsat Imagery (2014-2024) Putu Doddy Heka Ardana; Wati Asriningsih Pranoto; Andre Kusuma Putra
Structures, Infrastructure, Planning, Implementation, and Legislation Vol. 2 No. 1 (2026): April,2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/sipil.v2i1.550

Abstract

Rapid urbanization within priority watersheds has triggered severe hydrological imbalances, necessitating a data-driven evaluation of land-use transformation. This study investigates the correlation between built-up area expansion and runoff coefficients () within the Upper Citarum Watershed, Indonesia, between 2014 and 2024. Utilizing a longitudinal quantitative design, the research integrates secondary statistical data from the Central Bureau of Statistics (BPS) with multi-temporal Landsat 8-9 OLI/TIRS satellite imagery. Spanning approximately 177,115 hectares, the analysis focuses on sub-watersheds with settlement growth exceeding 5% annually. Land Use and Land Cover (LULC) classification was executed using the Random Forest algorithm, while weighted runoff coefficients () were calculated through the Rational Method. Results indicate a profound shift in hydrological response, with the  value escalating from 0.38 in 2014 to 0.59 by 2024, representing a 55% increase in peak discharge potential. Statistical validation reveals an exceptionally strong positive correlation () between BPS-documented building floor area growth and satellite-derived impervious surface expansion. These findings imply that current spatial planning and Building Permit (IMB) policies are insufficient to mitigate the loss of natural infiltration zones. The study concludes that the watershed has surpassed critical hydrological safety thresholds, necessitating a radical overhaul of Building Coverage Ratio (KDB) regulations and the mandatory adoption of Low Impact Development (LID) infrastructures. Future research should leverage high-resolution real-time sensors and artificial intelligence to enhance the precision of adaptive watershed management strategies.
Impact of Giant Sea Wall Construction on Surrounding Current Patterns and Abrasion Rates: A Numerical Hydrodynamic Simulation of Marine Dynamics Darius Arkwright; Andre Kusuma Putra
Structures, Infrastructure, Planning, Implementation, and Legislation Vol. 2 No. 1 (2026): April,2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/sipil.v2i1.573

Abstract

The increasing trend of global sea level rise and localized land subsidence in Jakarta Bay has led to the consideration of large-scale coastal protection measures, yet the hydrodynamic consequences of such infrastructure remain insufficiently quantified. This study evaluates the impact of the Giant Sea Wall (GSW) on local current patterns and coastal morphology using a validated three-dimensional numerical simulation. The study focuses on a 25 × 30 km domain in Jakarta Bay, integrating high-resolution bathymetric data (BATNAS), wind time series from BMKG, and tidal harmonic components from BIG. A finite volume scheme on an unstructured mesh is applied to solve the shallow water equations, with validation showing a correlation coefficient of 0.92 against observed tidal data from Pushidrosal. Simulation results suggest that current velocities may increase to approximately 0.62 m/s near structural termini, potentially inducing localized scouring and increased abrasion rates in down-drift areas, with a projected shoreline recession of approximately 3.5 m/year under modeled conditions. These findings indicate that while the GSW can reduce tidal flooding in protected urban areas, it may also redistribute hydrodynamic energy toward adjacent coastal zones, increasing erosion risks. Adaptive strategies, including sediment nourishment and permeable structural designs, should therefore be considered. Future research is recommended to incorporate fully coupled morphodynamic models to improve long-term projections.