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Pemodelan Kuat Tekan Beton Ber-Fly Ash Menggunakan Analisis Regresi Linier Berganda Angeline Yuhasnita; Mayawi; Jeffrey Andre Delarue; Emil Padila; Randy Voller Surentu; Imanuel Latumeten
Impression : Jurnal Teknologi dan Informasi Vol. 5 No. 1 (2026): Maret 2026
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v5i1.1820

Abstract

Pemanfaatan limbah abu terbang (fly ash) mendukung material konstruksi yang berkelanjutan. Penelitian ini bertujuan memodelkan pengaruh persentase substitusi fly ash dan umur beton terhadap kuat tekan menggunakan regresi linier berganda (Ordinary Least Squares). Penelitian ini menggunakan data sekunder dari 20 observasi terdahulu (Kindangen et al., 2024), untuk mencapai efisiensi sumber daya tanpa melakukan repetisi uji laboratorium. Dalam memastikan validitas statistik terhadap heteroskedastisitas, analisis dioptimalkan dengan Robust Standard Errors (HC3). Hasil pemodelan menunjukkan bahwa secara simultan, umur beton dan kadar fly ash mampu memprediksi variasi kuat tekan beton secara akurat. Secara parsial, umur beton menjadi prediktor kuat yang meningkatkan kuat tekan secara signifikan. Sebaliknya, persentase fly ash (hingga 40%) tidak memberikan pengaruh signifikan saat umur dikontrol, mengonfirmasi keamanannya sebagai material substitusi. Model regresi robust menghasilkan persamaan Kuat Tekan (MPa) = 6,865 + 0,346(Umur) - 0,023(FA). Sebagai rekomendasi, praktisi konstruksi dapat mengaplikasikan persamaan ini sebagai pendekatan awal yang efisien untuk memprediksi kuat tekan beton tanpa harus melalui tahapan eksperimen yang panjang   The utilization of fly ash waste supports sustainable construction materials. This study aims to model the simultaneous effects of fly ash substitution percentage and concrete age on compressive strength using multiple linear regression via Ordinary Least Squares. This research utilizes secondary data from 20 previous observations (Kindangen et al., 2024.) to achieve resource efficiency without repeating laboratory tests. To ensure statistical validity against heteroskedasticity constraints, the analysis was optimized using Robust Standard Errors (HC3). Modeling results indicate that simultaneously, concrete age and fly ash content accurately predict variations in compressive strength. Partially, concrete age is a strong predictor that significantly increases compressive strength. Conversely, adding fly ash (up to 40%) does not exert a statistically significant effect when age is controlled, confirming its safety as a substitute material. The robust regression model yields the equation Compressive Strength (MPa) = 6.865 + 0.346(Age) - 0.023(FA). As a recommendation, construction practitioners can apply this equation as an efficient initial approach to predict concrete compressive strength without undergoing lengthy experimental phases
Pemanfaatan ArcGis dalam Analisis Pola Pergerakan dan Rute Baru di Kota X Zia Felina; Andriani Effendi; Emil Padila
Racic : Rab Construction Research Vol. 10 No. 2 (2025): DESEMBER
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/racic.v10i2.7053

Abstract

Transportation supports regional growth and improves accessibility. A more efficient new route plan is needed in City X because population and business growth are not balanced with an adequate network of routes. The minibus (Elf) is chosen because it is easy to operate and can reach local corridors. By using ArcGIS, the Geographic Information System (GIS) is used in this study to analyze the road network, settlement patterns, activity centers, and community travel needs. The results of the analysis produce alternative routes that are more efficient and aligned with the movement patterns of the residents. It is expected that these routes will improve public transportation services in City X and support sustainable transportation policies.